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ORCID3rd IWCM 2025: Santa Clara, CA, USA
- IEEE Conference on Artificial Intelligence, CAI 2025, Santa Clara, CA, USA, May 5-7, 2025. IEEE 2025, ISBN 979-8-3315-2400-5
- Kiran Kumar Kethineni, Samuel Y. Wu, Saraju P. Mohanty, Elias Kougianos:
Chroma-Sense: a Memory-Efficient Plant Leaf Disease Classification Model for Edge Devices. 1-6 - Reem Gody, Mohamed Abdelghaffar, Mohammed Jabreel, Ahmed Y. Tawfik:
Efficient Intent-Based Filtering for Multi-Party Conversations Using Knowledge Distillation from LLMs. 1-6 - Quoc-Dung Nguyen, Hakil Kim:
Controllable Diffusion Model for Generating Multimodal Biometric Images. 1-6 - Chathurangi Shyalika, Renjith Prasad, Alaa T. Al Ghazo, Darssan Eswaramoorthi, Harleen Kaur, Sara Shree Muthuselvam, Amit P. Sheth:
SmartPilot: A Multiagent CoPilot for Adaptive and Intelligent Manufacturing. 1-8 - Dániel Unyi, Bálint Gyires-Tóth:
Semi-Supervised Learning for Loan Default Prediction: Leveraging Unlabeled Data from Time-Aware Splits. 1-7 - Kamal KC, Kushal Devkota, Kalyan Singh Karki, Alaka Acharya:
Privacy Preserving Medical Image Classification and Steganography Using Deep Learning Architecture: a Pipeline. 1-5 - Parham Aarabi, Yiqian Qin:
Cooperative Ai Agents Using Supervised Global Workspaces. 1-6 - Nora Bakken, Shavil Singh, Makwana Prashant, Tapadhir Das:
Deep Fake Audio Detection Framework Using MFCCs, Chroma Features, and Spectrogram Images. 1-6 - Thanh Son Do, Daniel B. Hier, Tayo Obafemi-Ajayi:
Mapping Biomedical Ontology Terms to Ids: Effect of Domain Prevalence on Prediction Accuracy. 1-6 - Thor Myklebust:
Market Access and Compliance Innovation for Aibased Functional Safety Systems. 1-10 - Brandon Warner, Edward R. Ratner, Christopher Douglas, Elliot Farmer:
Automl Framework for Ensembling: Split Validation Sets for Coefficient and Structure Selection. 1-7 - Joseph Borders, Alice Leung, Micah Condon:
A Framework for Identifying Key Decision-Maker Attributes in Uncertain and Complex Environments. 1-5 - Rafail Giavrimis, Michail Basios, Fan Wu, Leslie Kanthan, Roman Bauer:
Artemis AI: Multi-LLM Framework for Code Optimisation. 1-6 - Hrishikesh Tawade, Sai Charan Dekkata, Vamsidhar Reddy Kamanuru, Surendra Rathod, Santhosh Kusuma Kumar Parimi:
Standardizing Scenario Annotations: a Comprehensive Mapping and Gap Analysis Across Openscenario, Openodd, and Openlabel. 1-6 - Spencer Kohn, Gershon Weltman, Marvin S. Cohen, Ewart de Visser, David Barnes, Elan Freedy:
Creating Bayesian Ethical Alignment Models for Eliciting, Modeling, and Calibrating Ethical Human Decision-Making Values and Priorities. 1-6 - Venkat Suprabath Bitra, Homayoon Beigi:
Diffcraft: A Modular Differentiable Framework for Music Synthesis with Timbre Transfer. 1-7 - Esha Rajesh Gavali, Jie Hou, Renzhi Cao, Dong Si:
Advancing Protein-Ligand Binding Site Prediction with 3D Instance Segmentation Techniques. 1-6 - Jennifer McVay, Ewart J. de Visser, Brian Pippin, Ashutosh Mani, Jacob N. Hyde, Nicholas Kman:
Trust in Aligned AI Decision Makers. 1-4 - Kongmeng Liew, Xiaoli Wu, Zhouqing Zhang:
Trust, Support, and Adoption Intentions Towards Generative AI are Context Dependent. 1-6 - Shweta Agrawal, He Nan Tony Li, Lucas Lu:
LLM Interpretability: Tracing How LLMs Answer Factual Queries and Math Questions. 1-6 - Bo-Sheng Huang, Ted T. Kuo, Li-Jen Wang, Chia-Yu Lin:
Remind: Recall Enhanced Memory Integration for Natural Language Dialogue Systems. 1-6 - Natasha Petrovska, María M. Larrondo-Petrie, Mirjana Pavlovic:
Expression Variability of Cognition-Associated Genes Across Neural Cell Types and Species During Aging, with Implications for Predicting Alzheimer's Disease in Humans. 1-4 - Tia Pope, Ahmad Patooghy:
Shapechain: Revealing Oxytocin-Receptor Structural Mimicry with AI Validation. 1-4 - Charles Glaser, Erhan Guven:
Generative Data Visualization with JSON Representations. 1-7 - Xiaofeng Zhao, Jeongkyu Lee, Tehmina Amjad:
YOLO-KAN: Exploring the Adaptability of Kolmogorov-Arnold Networks in the YOLO Model. 1-6 - Uttamasha Monjoree, Wei Yan:
Assessing AI Models' Spatial Visualization in PSVT:R and Augmented Reality: Towards Enhancing AI's Spatial Intelligence. 1-8 - Philipp Wagner, Tobias Nagel, Philipp Leube, Marco F. Huber:
Sample-Efficient Bayesian Transfer Learning for Online Machine Parameter Optimization. 9-15 - Muhammad Waqas Arshad, Stefano Lodi, David Q. Liu:
A Hybrid Quantum-Classical Approach Using D-Wave and SLSQP for Double Wishbone Suspension System Optimization. 16-19 - Chia-Yu Lin, Yu-Chiao Kuo, Sheng-Che Lin, Ted T. Kuo:
Metric Learning-Based Incorrect Component Detection Framework. 20-25 - Benjamin Uhrich, Erhard Rahm:
MPGT: Multimodal Physics-Constrained Graph Transformer Learning for Hybrid Digital Twins. 26-32 - Christoph Hennebold, Marco F. Huber:
Graphical Causal Model Based Bayesian Optimization for Industrial Process Parameterization. 33-38 - Viny Saajan Victor, Manuel Ettmüller, Andre Schmeißer, Heike Leitte, Simone Gramsch:
Machine Learning-Augmented Boundary Value Problem Solvers for Optimizing Melt Spinning Processes. 39-46 - Leonardo Pilarski, Luiz E. Luiz, Gonçalo S. Gomes, Tiago Pinto, Vítor Manuel Filipe, João Barroso, Gonçalo Rijo:
Automated Construction and Semantic Interoperability for Digital Twins: Integrating Heterogeneous Data with Large Language Models. 47-48 - Shahenda Youssef, Julius Pfrommer, Jürgen Beyerer:
Causal Temporal Neural Networks Using the Conditional Average Treatment Effect. 49-54 - Renato Miyaji, Renato Moulin, Samuel Monção, Leonardo Machado:
Empowering Business Decisions and Knowledge Management Through Advanced RAG-Driven QA Systems. 55-60 - Yuanhong Wu, Wei Ye, Jingyan Xu, D. Frank Hsu:
Bitcoin Price Prediction Using Machine Learning and Combinatorial Fusion Analysis. 61-68 - Jian Kim, Woohwan Jung:
CARE: A Framework for Correcting Numerical Hallucinations in LLM-Generated Financial Texts. 69-74 - Anoushka Gade, Jorjeta G. Jetcheva, Hardi Trivedi:
It's About Time: Incorporating Temporality in Retrieval Augmented Language Models. 75-82 - Abhishek Joshi, Jahnavi Krishna Koda, Ismail Alihan Hadimlioglu, Gurojaspreet Kaur:
Real-Time Adaptive Multi-Modal Stock Prediction with Temporal Graph Attention and Dynamic Interaction Networks. 83-88 - Kenneth John, Katerina Potika:
Diverse GNN Encoder-Decoder for Graph Anomaly Detection. 89-94 - Jonathan Attard, Dylan Seychell:
Comparative Analysis of Image, Video, and Audio Classifiers for Automated News Video Segmentation. 102-107 - Anvesha Riya, Snehal Kaur, Aayush Yadav, Tushar Srivastava, Richa Bhatia:
Vogue Vision: Customized Apparel Recommender System Using Hybrid Approach. 108-113 - Anitha Balachandran, Mohammad Masum:
Visiorag: A Multimodal Framework for Enhancing Recommendation System Using Vision Transformers and Rag. 114-119 - Lana Do, Tehmina Amjad:
Fine-Tuning DeBERTaV3 with Adaptive Training Strategies for Fine-Grained Sentiment Analysis. 120-125 - Andrew Dunton, Riddhi Vyas, Harshal Shah, Soujanya Sankathala, Mohammad Masum:
InvadeAI: INteractive ADvertising with Multimodal AI. 126-131 - Neda Keivandarian, Marco M. Carvalho:
A Comprehensive Categorization and Comparative Analysis of Methodologies in Aspect-Based Sentiment Analysis. 132-138 - Faaria Syed, Jianhua Xuan:
An Attention-Augmented BiLSTM-CNN Model for Stock Price Prediction. 139-144 - Angela Li, David Li:
Dynamic Reward Optimization for Sharing Economies: A Stochastic Control Framework for the Smart World. 145-150 - Prabhdeep Cheema, Erhan Guven:
Optimizing Recommendations Using Fine-Tuned Llms. 151-156 - Dayu Qin, Yi Yan, Ercan E. Kuruoglu:
Graph LLM-Based Portfolio Management Algorithm. 157-160 - Berkan Oztas, Deniz Cetinkaya, Festus Adedoyin, Marcin Budka, Huseyin Dogan, Gökhan Aksu:
Tab-AML: A Transformer Based Transaction Monitoring Model for Anti-Money Laundering. 161-167 - Laxita Agrawal, V. Vijaya Saradhi, Teena Sharma:
Equitable Representation of Demographic Groups in Constrained Spectral Clustering. 168-173 - Zhouqing Zhang, Kongmeng Liew, Tham Piumsomboon:
What One Million Prompts Tells Us About AI Usage, Topics, and Preferences. 174-179 - Festus Adedoyin, Huseyin Dogan, Deniz Cetinkaya, Nan Jiang:
Human-Centered AI in FinTech: A Conceptual Model and Strategic Research Agenda. 180-187 - Vishwa Bhatt, Zhixin Yu, Yunfei Hou, Bilal Khan, Khalil Dajani, Jennifer Kim Jin:
From Prompts to Performance: Leveraging LLMs for Enhanced Educational AI Interactions. 188-195 - Rawan AlMakinah, Andrea Norcini-Pala, Lindsey Disney, M. Abdullah Canbaz:
Enhancing Mental Health Support Through Human-AI Collaboration: Toward Secure and Empathetic AI-Enabled Chatbots. 196-202 - Yeonbin Son, Matthew L. Bolton:
Towards a Signal Detection Based Measure for Assessing Information Quality of Explainable Recommender Systems. 203-208 - Jayant Parashar, Suchendra M. Bhandarkar:
SJ-ORPO: Alignment of LLMs Using Multi-Task Learning and Self-Judgment. 209-214 - Yuqi Hu, Qiwen Xiong, Liheng Yi, Ilmi Yoon:
Nurse Town: An LLM-Powered Simulation Game for Nursing Education. 215-222 - Gnaneswar Villuri, Alex Doboli:
An Experimental Study on the Interpretability of Transformer Models for Dialog Understanding. 229-235 - Cecilia Delgado Solorzano, Sara Mendoza, Fernando Morales-Flores, Jesus Martinez-Garcia, Néstor E. Briones-Ramirez, Emmanuel A. Zarazua-Rubio, Ventura Rivera-Robles, Asis H. Rangel-Ortiz, Carlos Toxtli:
AI for Becoming Fluent: Designing an App for Advanced Bilingual Speakers. 236-243 - Vishal Mirza, Rahul Kulkarni, Aakanksha Jadhav:
Evaluating Gender, Racial, and Age Biases in Large Language Models: A Comparative Analysis of Occupational and Crime Scenarios. 244-251 - Reem Gody, Mahmoud Goudy, Ahmed Y. Tawfik:
ConvoGen: Enhancing Conversational AI with Synthetic Data: A Multi-Agent Approach. 252-257 - Sakshi Mhatre, Brian Lee, Erin Lanus, Laura J. Freeman:
Coverage for Detecting Bias in Facial Recognition Datasets. 258-264 - Siddharth Kumar Singh, Mohammed Bakhtiyar Siddiqui, Michelle Zhu:
Enhancing Accessibility: A Natural Human-Computer Interaction System Using Hand Gestures and Voice for Disabled Populations. 265-270 - Sujung Choi, Rahul Dubey:
Clustering-Guided Counterfactual Design Evolution. 271-277 - Matthew Kenely, Dylan Seychell, Carl James Debono, Chris Porter:
A Deep Learning Framework for Visual Attention Prediction and Analysis of News Interfaces. 278-283 - W. Russell Neuman, Chad Coleman, Manan Shah, Ali Dasdan:
Ethical Logic in Six Large Language Models. 290-295 - Natalie Friedman, Marcus Krug, S. Joy Mountford:
Mediating Cognitive Biases in Business Decisions Using LLMS. 296-301 - Douglas B. Craig:
Advancing Scientific Workflows: A Human-LLM Note-Taking System with Case-Based Reasoning. 302-305 - Alaeddine Mokri, Vijay Gadepally:
The Efficiency Frontier: Optimal Combinations of Energy-Saving Strategies in Data Centers. 316-321 - Samuel Pradhan, Guanjin Wang, Junyu Xuan, Penghao Wang, Chengdao Li, Jie Lu:
A Multimodal Deep Learning End-to-End Model for Improving Barley Genotype-to-Phenotype Prediction Using Heterogeneous Data. 322-327 - Paahuni Khandelwal, Jeffrey D. Niemann, David J. Mulla, Shrideep Pallickara, Sangmi Lee Pallickara:
Subterra: Estimating Soil Moisture at Root Zone Depths Using Science-Guided Learning. 328-335 - Martin Alvarez Lopez, Magdalini Eirinaki:
The Impact of Tree Data on Urban Heat Island Mapping: A San José Case Study. 336-341 - Haiyang You, Chengwei Lou, Jin Yang, David Flynn:
Deep Learning Based Real-Time Approach for Optimal Power Flow in Unbalanced Distribution Systems with High-Level EV Penetration. 342-349 - Brigida Teixeira, Gabriel Santos, Letícia Gomes, David Araújo, Zita Vale:
Smart Building Platform for Energy Resource Management. 350-351 - Johanna S. Fröhlich, Hans Rosenberger, Ralf R. Müller:
Spicing Up LLMs: The Role of PAPRICA Pruning in Linear Computation Coding. 352-357 - Qiming Sun, I-Han Hsiao:
Engineering Environmental Legislative-Guided LLM to Support Waste Management Learning. 364-369 - Tahniat Khan, Soroor Motie, Sedef Akinli Kocak, Shaina Raza:
Optimizing Large Language Models: Metrics, Energy Efficiency, and Case Study Insights. 370-375 - Mohamad El Iaali, Reza Razi, Antoine Bruyere, Bruno Francois, João P. Soares, Zita Vale:
Machine Learning Methods for State Estimation in Sparse Distribution Networks. 376-381 - Hanbing Liu, Huijie Li, Yang Li, Xuan Zhang:
Enhancing Battery Capacity Estimation in Electric Vehicles Through Continuous Domain Adaptation. 382-383 - Oluwatamilore Orojo, Bin Chen, Takushi Fujita, Tatsuya Mitomi, Eigo Segawa, Lowell T. Edgar:
Leveraging Social Digital Twin Technology to Maximise Sustainable Transformation from Multimodality: A Case Study of Commuters to Greater London. 384-389 - Juan Felipe Castañeda Bustos, Javier Chaparro Preciado:
Phenological States Classification of Blueberries Using Artificial Intelligence. 390-393 - Ramy Othman, Katherine G. Herbert-Berger, Thomas J. Marlowe:
An LSTM Model for Sustainable Microgrid Energy Resources in Myanmar. 394-398 - Ryosuke Hara, Hiroshi Esaki, Hideya Ochiai:
Privacy-Aware Logic Free Building Automation Using Split Learning. 399-404 - Jayanta Choudhury, John Cleveland, Rohit Tiwari, Chenhua Shi, Subhadip Bandyopadhyay:
Energy Efficient Explainable Regularization Technique for Sustainable Trustworthy AI. 405-409 - Hassan S. Al Khatib, Sudip Mittal, Shahram Rahimi, Nina Marhamati, Sean Bozorgzad:
From Patient Consultations to Graphs: Leveraging LLMs for Patient Journey Knowledge Graph Construction. 410-415 - Ahmed Mostayed, Mehdi Norouzi, Xuefu Zhou:
Facial Palsy Detection Through Spatiotemporal Landmark Analysis with Attention Mechanisms. 416-419 - Jiangnan Zhu, Yuntao Wang, Yujie Gu:
A Reversible-Zero Watermarking Scheme for Medical Volume Data via Difference Expansion. 420-423 - Yutong Jiang, Ercan E. Kuruoglu:
Prioritizing Cancer Genes Using HodgeRank Reveals Critical Pathways in Cancer Progression. 424-427 - Adam Sandler, Diego Klabjan, Yuan Luo:
Conditional Hierarchical Bayesian Tucker Decomposition for Genetic Data Analysis. 428-434 - Jinwen Tang, Qiming Guo, Wenbo Sun, Yi Shang:
A Layered Multi-Expert Framework for Long-Context Mental Health Assessments. 435-440 - Abdilahi Jama, Graham Wilkins, Blake Reamer, Nabiyu Haile, Naseef Mansoor:
Automatic Detection of Butterfly Malar Rash in Facial Images Using Deep Learning. 441-446 - Mengyuan Liu, Yixiao Chen, Anning Tian, Xinmeng Wu, Mozhi Shen, Tianchou Gong, Jeongkyu Lee:
Performance Analysis of Deep Learning Models for Femur Segmentation in MRI Scan. 447-450 - Vihan Bhattacharjee, Kamalashree S, Sindhu Ghanta:
Early Diagnosis of Lung Adenocarcinoma Leveraging YOLO Architectures. 451-456 - Sofia Hurtado, Radu Marculescu:
Health Status Discovery for Online Bidirectional Contact Tracing and Disease Aware Navigation. 457-462 - Nandan Joshi, Erhan Guven:
Improved Molecular Generation Through Attribute-Driven Integrative Embeddings and GAN Selectivity. 463-468 - Dipika Ray, Sujan Sarkar, Diego Oliva, Oscar Ramos-Soto, Ram Sarkar:
Edge-Aware and Attention-Aided U-Net Model for Skin Lesion Segmentation. 469-474 - Zubair Saeed, Souha Aouadi, Tarraf Torfeh, Jim Xiuquan Ji, Othmane Bouhali:
DAM-UNET: Dual Attention Module Based UNET for Lung Tumor Segmentation Using CT Scans. 475-481 - Krish Nachnani, Smriti Bhandari, Shilpi Shaw:
Recurrent Event Analysis and Biomarker Discovery for Glioblastoma Using mRNA-seq Data. 482-487 - Disha Gupta:
Reducing Global Breast Cancer Mortality with Early, Low-Cost Diagnosis Using Generative AI and Hybrid DL Architecture. 488-494 - Sourodip Ghosh, Ahana Bandyopadhyay, Moinak Bose, KC Santosh:
Vision Transformers Excel in Chest X-Ray Analysis. 495-500 - Kristin Qi, Xinhan Di:
Attentional Triple-Encoder Network in Spatiospectral Domains for Medical Image Segmentation. 501-502 - Hong Cheng, Rupesh Konduru:
Skin Lesion Segmentation Using Improved Topological Image Processing. 503-506 - Fataneh Tabarteh Farahani, Sathish A. P. Kumar:
Felgnn-Dp: Federated Ensemble Learning-Based Graph Neural Network for Disease Prediction. 507-512 - Akshay Muppidi, Martin Radfar:
Medical Vision Language Models as Policies for Robotic Surgery. 513-518 - Gaurang Patel, Vivek Chaturvedi, Sathish Kumar:
IRC-SC: Improving Robustness of CNN-Based MRI System Using SRGAN and CNN. 519-526 - Ruixin Chen, David Li:
PDE-Informed Gradient Boosting for Disease Outbreak Detection and Forecasting. 531-536 - Abhishek Shivanna, Heidi A. Hanson, John Gounley, Adam Spannaus:
Multi-Label Classification with Constraint-Based Learning for Hierarchical Consistency. 537-542 - Sijie Xiong, Youhao Xu, Cheng Tang, Jianing Wang, Shuqing Liu, Atsushi Shimada:
GluTANN: Transformer-Based Continuous Glucose Monitoring Model with ANN Attention. 543-548 - Ahmeed Suliman Farhan, Umar Manzoor, Muhammad Khalid:
Brain Tumour Diagnostics and Analysis (TDA): Segmentation, Classification and Interactive Interface. 549-554 - Pooja Singh, Rodrigue Rizk, KC Santosh:
PATL: Pool-Based Active Twin Learner from Oracle with Imitation Learning for Early Epidemic Detection. 561-566 - Kristacia Kang, Annitha Annathurai, Yong Khiang Leow, Emileen Chia, Zhiyan Fu:
Development of Predictive Model for Patient Triaging at Emergency Department. 567-572 - Fataneh Tabarteh Farahani, Sathish A. P. Kumar:
FLARE: Federated Learning and Reinforcement Optimization for Cancer Survival Models. 573-576 - Farheen Akhter, Nabeel Alzahrani, Khalil Dajani:
Bias Mitigation in Deep Learning: A Survey of Modern Techniques. 577-578 - Ghada M. Fathy, Amira Soliman, Farzaneh Etminani, Mattias Ohlsson:
Leveraging Temporal Aggregation and Graph Structures to Analyze EHR Trajectories. 579-582 - Olivia Ostrom Finn:
Medical Device Safety: An Analytical International Survey of AI/ML-Enabled Medical Devices. 587-590 - Andrew Liu, Yaxin Liu:
Learn to Detect Freezing of Gait in Parkinson's Disease Patients Using Mobile Sensors Assisted by Video Data. 591-593 - Pakeeza Akram, Ammara Ghalib, Syeda Fizzah Hashmi:
Canvas Insight: Enhancing AI-Driven Scheduling for Depression Diagnosis Using the House-Tree-Person Projective Test. 594-597 - Haoyu Song, Indriyati Atmosukarto:
Home-Based Gait Abnormality Detection Using SAIL-TUG and Machine Learning Techniques. 598-599 - Shloak Vatsyayan:
Leveraging Machine Learning and ChemBERTa for Efficient Identification of CB1 Receptor-Active Compounds. 600-605 - Maryam Albuainin, Richard Shaw, Shuang (Sean) Luan:
From Sparse to Precise: Wavelet Implicit Neural Network for Radiotherapy Commissioning. 606-609 - Sunil Kumar Jang Bahadur, Gopala Dhar, Lavi Nigam:
GenAI Security: Outsmarting the Bots with a Proactive Testing Framework. 610-612 - John Naulty, Eason Chen, Joy Wang, George Digkas, Kostas Kryptos Chalkias:
Bugdar: AI-Augmented Secure Code Review for GitHub Pull Requests. 613-616 - Rupesh Raj Karn, Prithwish Basu Roy, Johann Knechtel, Ozgur Sinanoglu:
Unlearning in Decision Tree Classifiers and Microcontroller Implementations. 617-624 - Khushnood Adil Rafique, Pooja Biradar, Christoph Grimm:
Transformer-Based Unit Test Generation. 625-630 - Johnny Qiu, Lin Zhu, Manyu Zhang, Yuan Pan, Peng Xu, Jerry Gao, Jun Liu:
Collision Scenario Analysis for Autonomous Vehicles Using Multimodal Deep Learning Models. 631-636 - Muhammad Usama Zubair, Taylor T. Johnson, Kanad Basu, Waseem Abbas:
Verification of Neural Network Robustness Against Weight Perturbations Using Star Sets. 637-642 - Jasper Stone, Raj Patel, Farbod Ghiasi, Sudip Mittal, Shahram Rahimi:
Navigating MLOps: Insights into Maturity, Lifecycle, Tools, and Careers. 643-650 - Victor Jarlow, Lukas Wikander, Samuel Thorén, Robert Brenick, Xianbiao Hu, Timo Kero:
ATOS: An Open-Source Platform for Testing AI-Based Automated Vehicle Systems in Integrated Simulated and Physical Scenarios. 651-658 - Mohammad Rubyet Islam, Peter Sandborn:
Multimodal Generative AI for Story Point Estimation. 659-662 - Wangfan Li, Athish Venkatachalam, Jackson Bowen, Carlos Toxtli-Hernández:
Human Oversight Over Autonomous Task Execution in Sandbox Environments. 663-668 - Jack Conley, Nikhil Yadav, Penelope Yanez:
Edge-X: Cost Factor Evaluation Workflow for Model Deployment on Edge AI Devices. 669-674 - Yuchen Wang, Shangxin Guo, Chee-Wei Tan:
Contextual Augmented Multi-Model Programming (CAMP): A Local-Cloud Copilot Solution. 675-681 - William Zhang, Purab Seth, Sedik Sadik, Alex Geng:
DREAM: Dynamic Responsibility and Evolutionary Adaptive Modularization for Knowledge Distillation. 695-700 - Neha Girish Pusalkar, Julie A. Adams:
Leader-Based Coalition Formation for Extremely Large Scale Collectives. 701-706 - Aishik Pal:
AI-Based Olfactory Sensing for Robotic Platform. 707-710 - Valentin Colliard, Alain Peres, Vincent Corruble:
Deep Reinforcement Learning for Dynamic Resource Allocation : Generalizing Defensive Strategies Based on Pairwise Unit Analysis. 711-718 - Carolina Padilla Velasco, Patrick C. K. Hung, Farkhund Iqbal, Hamda Al Breiki, Hao-An Tseng:
Quadruped Robots and Canine Likeness: The Uncanny Valley Effect. 719-722 - Zijun Sha, Syuuhei Shiro, Kazuki Shibamiya, Kazuhiro Shintani, Kazuhiro Tanaka:
Improving Orb-Slam3 Performance in Textureless Environments: Mapping and Localization in Hospital Corridors. 723-726 - Susim Roy, Bharat Yalavarthi, Nalini K. Ratha:
EffBin: Efficient Face Recognition via Binary Neural Networks. 735-740 - Rahul Choutapally, Konika Reddy Saddikuti, Solomon Berhe:
AniLarm: AI for Small Animal Detection Under Cars Using Thermal Camera. 741-746 - Arpan Mahara, Naphtali David Rishe, Liangdong Deng:
The Dawn of KAN in Image-to-Image (I2I) Translation: Integrating Kolmogorov-Arnold Networks with GANs for Unpaired I2I Translation. 747-754 - Sashank Vempati, Chelsea Mediavilla, Shane Wechsler, Miguel Torres, Mark Bilinski, Michael Hess, Ray Provost:
Estimating Position and Orientation of Ships in Real Time Using Constrained Hand-Annotated Data. 755-760 - Peng Kang, Srutarshi Banerjee, Henry Chopp, Aggelos K. Katsaggelos, Oliver Cossairt:
When Event-Based Shape from Polarization Meets Spiking Neural Networks. 767-770 - Oliver Werthwein, Constantin Kronbichler, Marc Schroth, Wilhelm Stork:
Enhancing Automated Feedback for Fitness Exercises Using Pose Estimation and Semi-Supervised Generative Adversarial Learning. 771-776 - Wael Hafez, Amirhossein Nazeri, Cameron Reid, Sherif Elshami:
Entanglement Learning: an Information-Theoretic Framework for Adaptive Convolutional Neural Networks. 777-782 - Zhanhong Jiang, Md. Zahid Hasan, Aditya Balu, Joshua R. Waite, Genyi Huang, Soumik Sarkar:
FUSE: First-Order and Second-Order Unified Synthesis in Stochastic Optimization. 783-788 - Xiangyu Chen, Yanru Wu, Jian Xu, Wenhao Guo, Yang Li, Xiaoping Zhang:
Transferability Prediction for Model Recommendation: A Graph Learning Method. 789-795 - Tilak Sharma H. K, Arjun Ramesh Kaushik, Nalini K. Ratha:
PixMus : Video and Text Conditioned Background Music Generation Using Latent Diffusion. 791-796 - Eunjoung Yoo, Jaehyeong Sim:
ViT-Slim: A Genetic Algorithm-based NAS Framework for Efficient Vision Transformer Design. 796-802 - Kamal Acharya, Mehul Lad, Liang Sun, Houbing Song:
A Data-Driven Approach to Enhancing Gravity Models for Trip Demand Prediction. 815-820 - Shriyank Somvanshi, Rohit Chakraborty, Subasish Das, Anandi K. Dutta:
Crash Severity Analysis of Child Bicyclists Using Arm-Net and Mambanet. 821-824 - Leela Sai Rahul Suryadevara, Nivegna Lagadapati, Venkata Sai Krishna Velamala, Yesheswini Lakshmi Spandana Potti, Mohammad Masum:
BARTNet: Context-Aware Deep Learning Framework for BART Ridership Forecasting. 825-828 - Shriyank Somvanshi, Jinli Liu, Subasish Das:
A Survey on Generative AI in Transportation Systems Management and Operation. 829-832 - Medhavi Bhardwaj, Broto Rauth, Deepak Sharma, Amar Kumar Mohapatra:
AI for Healthcare: Applications of Semantic Segmentation in Lung Cancer Detection Using Python and Implications for Public Policy. 833-838 - Rupesh Raj Karn, Johann Knechtel, Ozgur Sinanoglu:
Backdoor Attack Detection in Decision Tree Classifiers Using SHAP Explainability. 839-846 - Nicolas Grislain:
RAG with Differential Privacy. 847-852 - Jin Huang, Zezhong Fan, Lalitesh Morishetti, Yuchan Guo, Kaushiki Nag, Hongshik Ahn, Ziheng Chen, Gabriele Tolomei:
Prompt-Tuning for Recommendation Unlearning. 859-863 - Advait Patel, Hariharan Ragothaman, Milavkumar Shah, Adit Sheth, Charit Upadhyay, Pravin Pandey, Saai Krishnan Udayakumar:
AI-Powered Data Encryption Techniques: Safeguarding Cloud Infrastructure. 864-871 - Yuntao Wang, Yujie Gu, Xun Shen:
Anti-Collusion and Latency-Tolerant Privacy-Preserving Federated Learning Framework via Multi-Key Homomorphic Aggregation. 872-875 - Sridevi Polavaram, Xin Zhou, Meenu Ravi, Mohammad Zarei, Anmol Srivastava:
Context-Awareness and Interpretability of Rare Occurrences for Discovery and Formalization of Critical Failure Modes. 876-883 - Vinit Sudhir Wadgaonkar, Nalini Ratha:
An Adversarial Toxicity Prompt Generator Exploiting Multilingual Code-Switching in LLMs. 884-887 - Yifan Wei, Anwar Said, Waseem Abbas, Xenofon D. Koutsoukos:
Robust Anomaly Detection with Graph Neural Networks Using Controllability. 888-895 - Tia Pope, Kailani Lemieux-Mack, Vinayak Sharma, Anjolaoluwa Ogedengbe, Aman Thanvi:
SocialCipher: A Multimodal Framework for Proactive Threat Detection with Sentintel. 896-901 - Adison Goh, Benjamin Chee, Matteo Vagnoli, Luca Baldassarre, Akshay Narayan:
Scaling Responsible Generative AI: Automating Red Teaming of LLM Applications. 902-905 - Yuya Fujiwara, Takuma Tuchida, Rikuho Miyata, Hironori Washizaki, Naoyasu Ubayashi:
LLM-Based Automated Mitigation and Assurance Case Generation Against Threats to AI Systems. 906-911 - Deekshith Sagar Rangapuram, Nalini Ratha:
GraphCodeBERT-Augmented Graph Attention Networks for Code Vulnerability Detection. 912-917 - Tia Pope, Ahmad Patooghy:
TrustToken: A Framework for Evaluating Tokenizer Security and Robustness in NLP Pipelines. 918-923 - Wonjae Oh, David Kim, Wonou Chung:
Large Language Model Corruption Can Spread Between Both Human and Synthetic Languages. 924-929 - Prashant Kulkarni, Assaf Namer:
Temporal Context Awareness: A Defense Framework Against Multi-Turn Manipulation Attacks on Large Language Models. 930-935 - Mohammad Zarei, Melanie Jutras, Eliana Evans, Mike Tan, Omid Aaramoon:
Authentication Identifying Rare Failure Modes in Autonomous Vehicle Perception Systems Using Adversarially Guided Diffusion Models. 936-943 - Calvin Raab, Terry Slenn:
Quantifying Explainability: Metrics and Methodologies for Dense Neural Network Interpretability. 944-949 - Ahmet Aksoy, Sundeep Varma, Khursaid Ansari, Yaman Shrestha:
Automated Host Identification Using SSL/TLS Traffic with SHAP and Artificial Bee Colony. 950-955 - Diego Saldaña-Ulloa, Guillermo De Ita Luna:
Fraudulent Event Detection via Temporal Graph Networks. 956-961 - Maryam Karimi, Diego M. Mendez Mena:
Data-Driven IT/OT Cyber Risk Evaluation and Mitigation Prioritization Using Machine Learning. 962-969 - Rahul Choutapally, Tapadhir Das:
Web-Based Machine Learning Framework for Phishing URL Detection and Analysis. 970-975 - Rumeysa Kara, Betul Tok, Rawan AlMakinah, M. Abdullah Canbaz:
BananaGuard: A Comparative Analysis of AI Models for Firearm Detection in Crowded Environments. 976-981 - Sharmin Afrose, Olivera Kotevska:
Dynamical Sketching for Enhanced Communication Efficiency in Federated Learning. 982-987 - Mohamed Abdur Rahman, Guillermo A. Francia III, Hossain Shahriar, Sheikh Iqbal Ahamed:
Large Language Model can Reduce the Necessity of Using Large Data Samples for Training Models. 988-991 - Sathsh A. P. Kumar, Danny DeJesus, Fataneh Farahani:
Graph Neural Network-Based Edge Classification Approach for Detection of Cybersecurity Attacks. 992-997 - Pavitra Modi:
Using a Structured Composition of Correlation Coefficient Functions to Optimize Machine Learning-Driven Cyber Attack Detection Models. 1004-1009 - Shriyank Somvanshi, Anannya Ghosh Tusti, Rohit Chakraborty, Subasish Das:
Applying Tabular Deep Learning Models to Estimate Crash Injury Types of Young Motorcyclists. 1010-1015 - Johannes Sautter, Markus Frey, Philipp Wagner, Gunther Götting, Michael Grill, André Casal Kulzer:
Compact Autoencoder Architectures for Anomaly Detection in Electric Drivetrain Current Sensors: a Comparative Study. 1016-1022 - Gian Antariksa, Rohit Chakraborty, Shriyank Somvanshi, Subasish Das, Mohammad Jalayer, Deep Rameshkumar Patel, David Mills:
Comparative Analysis of Advanced AI-Based Object Detection Models for Pavement Marking Quality Assessment During Daytime. 1023-1028 - Yunxiang Zhou, Xin Lou, Ying He, Wei Zhang, Indriyati Atmosukarto:
NormFusion: Real-Time Test-Time Adaptation for LiDAR Segmentation Under Corruption. 1029-1035 - Yanghui Mo, Xin Lou, Mageshwaran Muthusamy, Wei Zhang, Indriyati Atmosukarto, Xunpei Sun:
Adversarially Trained Dynamic Ensemble: A Moving Target Defense Strategy for Robust Semantic Segmentation in Autonomous Vehicles. 1036-1043 - Swastika Barua, Anandi Dutta, Subasish Das:
Modeling Distracted Driving: Analyzing Driver Gaze, Vehicle Positioning, and Psychological Response for Enhanced Traffic Safety. 1044-1049 - Abdul Hady Bin Zaydie, Indriyati Atmosukarto:
Predicting Pedestrian Intent: Evaluating Deep Learning with LSTM, CNN, and Transformers. 1050-1055 - Louis Weller, Timo Hagenbucher, Dirk Itzen, Markus Frey, Michael Grill, André Casal Kulzer:
Long Short-Term Memory Networks for Data-Driven Modeling of Proton Exchange Membrane Fuel Cell Systems. 1056-1061 - Yukta Mehta, Aishwarya Ashok, Deepthi Desharaju, Padhmavathy Cebolu Srinivasan, Sowmya Manchikanti, Jerry Gao:
Smart City AI Traffic Cloud - City Traffic Analysis and Monitoring Using AI Models. 1062-1069 - Subash Neupane, Shaswata Mitra, Ivan A. Fernandez, Sudip Mittal, Shahram Rahimi:
TwinExplainer: Explaining Predictions of an Automotive Digital Twin. 1070-1077 - Daniele Martini, Michela Longo, Sonia Leva, Sergio Vaccarini, Federica Foiadelli:
Transport Mode Recognition Data Collection Campaign and Model Training. 1078-1083 - Tiffany Fan, Murray Cutforth, Marta D'Elia, Alexandre Cortiella, Alireza Doostan, Eric Darve:
Physically Interpretable Representation and Controlled Generation for Turbulence Data. 1084-1085 - Kaito Tsuchiya, Hiroshi Esaki, Hideya Ochiai:
Top-K Difference Sparsification and Quantization for Communication-Efficient Model Aggregation in Wireless Ad Hoc Federated Learning. 1093-1099 - Ruqi Liao, Chuqing Zhao, Jin Li, Weiqi Feng, Yi Lyu, Bingxian Chen, Haochen Yang:
CATP: Cross-Attention Token Pruning for Accuracy Preserved Multimodal Model Inference. 1100-1104 - Marek Miltner, Daniel Vasata, Magda Friedjungová, Nishant Gadde, Ondrej Stogl, Oldrich Starý, Ram Rajagopal:
Towards Real-Time Machine Learning Approximations of Ac Optimal Power Flow. 1105-1110 - Miltiadis Alamaniotis:
Artificial Intelligence System for Enabling Microreactor-Driven Cold Ironing in Maritime Ports. 1111-1116 - Luis Burbano, Hampei Sasahara, Alvaro A. Cárdenas:
Steerability of Autonomous Cyber-Defense Agents by Meta-Attackers. 1117-1124 - Sebastián R. Castro, Roberto Campbell, Nancy Lau, Octavio Villalobos, Jiaqi Duan, Alvaro A. Cárdenas:
Large Language Models are Autonomous Cyber Defenders. 1125-1132 - Mark Bilinski, Ryan Gabrys, Daniel Silva:
SkyQuery: Evaluating LLMs for Decision Making in the CAGE Challenge. 1133-1138 - Qingya Lu, Zijie Wang, Xiaoman Zhang, Yue Zhong:
Mitigating Exploding Gradients in Large Language Models with Neural Architecture Search. 1139-1141 - Mohammad Taneem Bin Nazim, Siyu Deng, Danilo Romero, Sridhar Venkatesan, Jonathan Pfautz, Prashanth Rajivan, Cleotilde Gonzalez, Christopher Kiekintveld, Palvi Aggarwal:
Understanding Cyber Attackers Through Behavioral Science: A Systematic Study of the Representativeness Heuristic. 1142-1149 - Ryan Kerr, Adrian Taylor, Madeena Sultana, Jean-Pierre S. El Rami:
ICARuS: Intercode-CTF Auto-Randomization System. 1150-1155 - Kevin Reyes, Vasco Cortez:
Credit Card Fraud Detection Using RoFormer Model with Relative Distance Rotating Encoding. 1156-1159 - Andrew Crossman, Andrew R. Plummer, Chandra Sekharudu, Deepak Warrier, Mohammad Yekrangian:
Auspex: Building Threat Modeling Tradecraft into an Artificial Intelligence-Based Copilot. 1160-1167 - Anoop Krishnan, Amit Basu:
Towards Deepfake Detection for Everyone: A Lightweight Deepfake Detection Algorithm (LiDD). 1168-1174 - Brian Hu, David Chan, Taylor Sorensen, Xiusi Chen, Heng Ji, Yejin Choi, Trevor Darrell, Arslan Basharat:
A Roadmap for Alignable Algorithmic Decision-Makers in the Medical Triage Domain. 1179-1183 - Amy Summerville, Louis Martí, Ion Juvina, B. Locke Welborn, Cara Leigh Widmer, Alice Leung:
A Proof-of-Concept Validation of Alignment in Decision-Making Attributes for Trustworthy AI. 1184-1187 - Neil D. Shortland, Elias Nader, Bob Bixler, Joseph Cohn, AnaCristina Bedoya, Katelyn Smith, Laurence Alison:
A Generalisable Alignment System (GAS) for Humanartificial Intelligence (AI) Alignment. 1193-1197 - Angela Woods, Jordan Lampi, Sara Pisanelli, Neil D. Shortland, Robert P. Marinier, Robert Bixler, Joseph Cohn:
Enhancing Human-Artificial Intelligence Alignment: A Calibration-Based Approach. 1204-1208 - Christopher B. Rauch, Matthew Molineaux, Mallika Mainali, Anik Sen, Michael W. Floyd, Rosina O. Weber:
Role-Based Ethics for Decision-Maker Alignment. 1209-1212 - Ariel M. Greenberg:
Antisera for Misconceptions Around Agentic Technology. 1213-1216 - Sarath Sreedharan:
Using Human-Aware AI as a Framework to Achieve Intent Alignment. 1217-1220 - Anik Sen, Rosina O. Weber, Christopher B. Rauch, Mallika Mainali, J. T. Turner, John Meyer, Michael W. Floyd, Matthew Molineaux:
Decision-Maker Alignment: Benchmark Datasets. 1221-1229 - Easwar Gnana Hari Sekar, Roger Jin:
Human-Aligned Chess AI: A Multitask Transformer for Humanlike Decision-Making. 1230-1234 - Chunling Niu, Soheila Sadeghi, Marta Sylvia del Rio Guerra, Kelly Bradley, Meerna E. Ammari, Arthur E. Hernandez:
Alignment Divergence Metrics: Measuring Human-AI Concordance in Document Content Analysis. 1235-1238 - Colin Holbrook, Alan R. Wagner:
Human-Aligned AI Must Counter Overtrust. 1239-1242 - Jordan Lampi, Simona Temereanca, Neil D. Shortland, Jon Sussman-Fort, Robert Bixler, Joseph Cohn:
Predictive Models of Decision Making in Medical Triage. 1243-1246 - Lucia Larise Stavarache:
Enhancing Fine-Tuning LLM Evaluation: A Study on Calibration and Metrics for Industry-Specific AI Alignment. 1247-1250 - Jared Peterson:
Context Sensitive Frames and AI Alignment. 1251-1254 - Yudai Ueda, Hideya Ochiai:
Fully Decentralized Collaborative Learning for Visual Question Answering in Distributed Scenarios. 1262-1267 - Ukjo Hwang, Hyung-Taig Lim, Songnam Hong:
Tackling Environment Heterogeneity in Federated Reinforcement Learning. 1268-1273 - Ziyue Xu, Yuan-Ting Hsieh, Zhihong Zhang, Holger R. Roth, Chester Chen, Yan Cheng, Andrew Feng:
Secure Federated XGBoost with CUDA-Accelerated Homomorphic Encryption via NVIDIA FLARE. 1274-1279 - Néstor A. García-Rojas, Miguel A. Jiménez-Domínguez, Saúl Zapotecas Martínez, Raquel Díaz-Hernández, Leopoldo Altamirano Robles, Bilel Derbel:
Constrained Multi-Objective Optimization with dMOPSO: An Adaptive Penalty Approach. 1280-1285 - Mohammad Sharifur Rahman, M. M. Manjurul Islam, Saugat Bhattacharyya, Karl A. McCreadie, Tamas Reiter, Nuala Parker, Girijesh Prasad:
Machine Learning with Heuristic Search-Based Hybrid Framework for Cycle Time Optimization in Semiconductor Production. 1286-1291 - Oliver Kramer:
Enhancing Evolutionary Algorithms Through Meta-Evolution Strategies. 1292-1297 - Oliver Kramer:
Evolutionary Cognitive Prompting for Enhancing the Capabilities of Language Models. 1298-1301 - Uzu-Kuei Hsu, Yuxin Ye, Sheng-Yao Hsu, Chia-Hao Ku:
Standardized AI-Driven UAV Water Rescue System for Safe and Reliable Autonomous Operations. 1302-1305 - Ganesh Kumar Venayagamoorthy:
Cellular Computational Networks for Sustainable Artificial Intelligence. 1306-1311 - Rocio Rebollido-Rios, Oliver Kramer:
Sequence-Based Protein Pocket Prediction via Prott5 Embeddings and Spatial Sampling. 1312-1315 - Vrushali Channapattan, Gil Baram, Nathan Wiebe, T. C. Niedzialkowski:
AI, Cybercrime, and Society: Closing the Gap Between Threats and Defenses. 1316-1317 - Joong-Lyul Lee, Haitao Zhao, Mike Tree, Angelo Cristobal, Hozaifa Owaisi:
Enhancing Deep Learning Performance with Parallel Coordinates and Data Encoding for Thrombogenesis Prediction. 1318-1323 - Yasemin Karaca, Gozde Sarsar, Huseyin Dogan, Stephen Giff:
Generative AI to Enhance Situational Awareness and Collaboration: A Co-Worker for Tech Support in Enterprise Environments. 1324-1331 - Saurav Jayakumar, Jie Hou, Renzhi Cao, Dong Si:
Geometric Deep Learning for Multiple Conformation Generation from Electron Density Images. 1332-1337 - Daniel Cyrus, Dany Varghese, Roman Bauer, Alireza Tamaddoni-Nezhad:
Numerical-Symbolic Learning from Biomedical Data. 1338-1343 - Asha Collie, Elliot Farmer, Brandon Warner, Edward R. Ratner, Christopher Douglas:
A Novel Modeling Focused Missing Data Imputation Framework. 1355-1360 - Yunjia Wang, Laure Buysse, Dries Vanoost, Davy Pissoort, Jeroen Boydens, Mathias Verbeke:
AMLOP: A Framework for the Operational Safety Assurance of Machine Learning Leveraging Model Monitoring. 1361-1368 - Nell Watson, Matt Van Italie:
From Black Box to Open Book: An Emerging Transparency Imperative in Generative AI Codebases. 1369-1374 - Ahmad Alomari, Sathish A. P. Kumar:
A Survey of Quantum Reinforcement Learning Approaches: Current Status and Future Research Directions. 1375-1382 - Marina Cortês, Richard J. Tong, Janusz Zalewski:
Unifying Model for AI Standardization Processes. 1383-1387 - Behrouz Banitalebi, Satya Venkata Anusha Dwivedula:
Establishing Trust in AI-Driven Data Observability and Quality Control: A Framework for Reliable and Scalable Standards. 1388-1393 - Alok Tibrewala:
Advancements in Artificial Intelligence: Breakthroughs, Challenges and the Road Ahead. 1394-1402 - Shereen Salah Moussa, Bhoomika Ghosh, Ramachandra Vamsi Krishna Nalam:
Build a Resilient AI Ecosystem and Strategic Insights for the U.S. 1403-1408 - Amir Hossein Baradaran:
Advanced Prediction of Hypersonic Missile Trajectories with CNN-LSTM-GRU Architectures. 1409-1416 - Abdullah M. Al-Fowaih, Abdulkarim F. Al-Shahrani, Sharif E. Al-Kathami, Omar A. Al-Subaie, Zayd O. Al-Shashai, Fathi M. Smaili, Khalid Ayed Alharthi:
AI-Driven UAV Path Planning for Efficient Medical Item Delivery. 1417-1422 - Zakiya Chinue Irawagbon Percy:
Analyzing the Impact of Specific FAA Regulations on Commercial Drone Operations: A Focus on Enhanced Safety Measures. 1423-1428 - Hiba Darwish, Ahmad Harb, Marwan Bikdash, Balakrishna Gokaraju, Raymond C. Tesiero:
Machine Learning-Driven Load Prioritization for Reliable Residential Smart Grids. 1429-1437 - Xiaomeng Li, Pei Cao, Guliang Zhou, Binghua Zhou, Feng Xue, Yikai Yan:
Research on System Design and Field Application of Intelligent Wireless Temperature Monitoring Devices for Switchgear. 1438-1442 - Colin Le, Kenneth McDonald, Zhihua Qu:
Predicting Extreme Weather-Induced Outages in Distribution Networks Using Graph-Based Neural Network Models. 1443-1448 - Shyam Krishan Joshi, Ojashwini Dubey, Palak Dwivedi, Hemachandran K, Raul V. Rodriguez, Manjeet Rege:
LIME-Based Explainable AI Approach for Battery Health Monitoring. 1449-1454 - Mada Altiary, Farookh Hussain:
Interpreting Carbon Price Predictions: A Temporal Analysis with Explainable AI for Market Shock and Recovery. 1455-1460 - Ann John, Priyanka Bhyregowda, Madhulika Dutta, Sahana Prabhuswamy, Supriya Vasagiri, Jun Liu, Jerry Gao:
Advanced Carbon Monitoring in Agriculture Using Remote Sensing and Machine Learning Techniques. 1461-1468 - Zhaoan Wang, Wonseok Jang, Bowen Ruan, Jun Wang, Shaoping Xiao:
Incorporating Farmer Trust Into AI-Driven Agricultural Management Optimization. 1469-1474 - Ram Chandra Palsaniya:
Artificial Intelligence (AI) Standards and QA in Semiconductor Manufacturing. 1475-1479 - Shuguang Qi, Lin Niu, Zilong Wu:
Study on AI Data Center Infrastructure Sustainable Deployment and Standardization. 1480-1487 - Aseem Khanna, Anuradha Bhusri:
Navigating AI Adoption - An "AI Verse" Framework for Enterprises. 1488-1491 - Shuguang Qi, Xingfang Ye:
Study on Energy Efficiency Metrics for Environmental Sustainable Computing. 1492-1499 - Owen J. Daniels, Mina Narayanan, Cole McFaul:
Analyzing the Global AI Governance Ecosystem. 1500-1501 - Sayma Akther:
Visualization Driven AI Ensuring Quality in Wearable Time-Series Sensor Data for Healthcare. 1502-1510 - Zhiqiang Lao, Heather Yu:
Scene Perceived Image Perceptual Score (SPIPS): Combining Global and Local Perception for Image Quality Assessment. 1511-1519 - Yongfeng Shan, Christy Jie Liang:
3D Neural Light Quantum Fields for Photo-Realistic 3D Reconstruction from 2D Images. 1520-1527 - Artemis Stefanidou, Panagiotis I. Radoglou-Grammatikis, Vasileios Argyriou, Panagiotis G. Sarigiannidis, Iraklis Varlamis, Georgios Th. Papadopoulos:
State of Play and Future Directions in Industrial Computer Vision AI Standards. 1528-1533 - Ayodeji Adeyemo, Albert H. Carlson, Michael W. Totaro:
Sexing Orcas: Classification Using Convolution Neural Networks. 1534-1539 - Sai Charan Dekkata, Hrishikesh Tawade, Vamsidhar Reddy Kamanuru, Santhosh Kusuma Kumar Parimi, Surendra Rathod:
Strengthening AI Validation and Verification in Autonomous Vehicles: Comprehensive Analysis and Improvements to Key Standards. 1540-1549 - Christopher T. Nenebi, Sally Acquaah, Andrews Tang, Kourtney Tucker, Issa W. AlHmoud, Balakrishna Gokaraju:
LiDAR-Driven Steering Command Prediction for Autonomous Vehicles Using Machine Learning. 1560-1567 - Gaojian Huang, Wei-Hsiang Lo, Guannan Liu, Yue Luo, Yantong Jin:
Toward AI Standardization: A Triadic Human-AI Collaboration Framework for Multi-Level Autonomous Mobility. 1568-1577 - Aditya Mushyam, Oliver Böttcher, Franz Andert:
PCLane: Accurate Lane Localization with LiDAR and Abstract Data. 1578-1581 - Richard J. Tong, Marina Cortês, Jeanine A. DeFalco, Mark Underwood, Janusz Zalewski:
A First-Principles Based Risk Assessment Framework and the IEEE P3396 Standard. 1588-1595 - Tayyba Haider, Numan Shafi, Nazeef UI Haq:
AI-Driven Mental Health Chatbot: Empowering Well-Being with Conversational AI and Retrieval-Augmented Generation. 1596-1602 - Richard Jiarui Tong, Haoyang Li, Sridhar Raghavan, Qingsong Wen, Shannon Gray, Anand Paul, Joleen Liang, Janusz Zalewski, Yacheng Yang, George Tambouratzis, Bong Chong Ang:
IEEE AI Standards for Agentic Systems. 1603-1609 - Bin Xu, Richard Jiarui Tong, Yanyan Li, Penghe Chen, Hanming Li, Joleen Liang, Xing Fan, Jessie Tong:
An Architectural Framework for Educational Knowledge Graphs (IEEE P2807.6): Ontology Design, Llm Integration, and Adaptive Learning Applications. 1610-1616 - Fatos Peci, Enver Hamiti, Ishtiaq Khan:
Agentic AI with Chatops for Large Scale Network Operations. 1617-1626 - Sridharan Sankaran:
Ensuring Trust and Security in AI-Powered Chatbots: A Framework for Standardization. 1627-1632 - Joëd Ngangmeni, Danda B. Rawat:
GraphRAG Makes it Possible to Digest Convoluted Legal Jargon. 1633-1638 - Qaiser Khan, Pantea Keikhosrokiani:
Ensemble Learning-Based Seizure Classification with Quality Assurance and Regulatory Alignment in AI-Driven Healthcare. 1639-1648 - Priyan Malarvizhi Kumar, Abhignya Jagathpally, Wael Korani, Balasubramanian Prabhu Kavin:
Leveraging Advanced Artificial Intelligence Paradigms for Proactive Prediction and Diagnostic Analysis of Alzheimer's Disease Pathogenesis. 1649-1655 - Vinod Nithin K. Rachakonda, Jothsna Praveena Pendyala, Naveena Chatti, Sai Nithisha Marripelly, Ahmed El Sayed, Khald Aboalayon:
Multinomial Classification Deep Learning Approach for Knee Osteoporosis. 1656-1662 - Kunal Malhan, Keerthana Goka, Khald Aboalayon, Ahmed ElSayed, Shail Jyala, Shubhika Jain, Prathamesh Kulkarni:
Deep Learning-Based CAD System for ECG Image Classification. 1663-1669 - Pranjali Gajbhiye, Manjeet Rege, Shravani Wanjari, Vineet Singh, Hemachandran K:
XGBoost-Based Emotion Classification in Healthcare Using Electroencephalogram Signals. 1670-1675 - Jane Mugunghwa Kim, Christopher J. MacLellan, Leandro Miletto Tonetto:
Design Requirements for AI-Enabled Progressive Web Applications to Decrease Risk of Breast Cancer. 1676-1681 - Daniel Jimenez, Natalia Castano-Villegas, Isabella Llano, Julian Martinez, Laura Ortiz, Laura Velasquez, Jose Zea:
Pandora: an Ai Model for the Automatic Extraction of Clinical Unstructured Data and Clinical Risk Score Implementation. 1682-1688 - Tia Pope, Ahmad Patooghy:
BioChk: A Regulation-Aligned Quality Assurance Framework for AI-Generated Biologics. 1689-1694
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