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ACM Southeast Conference 2024: Marietta, GA, USA
- Proceedings of the 2024 ACM Southeast Conference, ACM SE 2024, Marietta, GA, USA, April 18-20, 2024. ACM 2024
Full Papers
- Riya Kakkar, Sachi Chaudhary, Rajesh Gupta, Sudeep Tanwar, Suman Kumar:
Blockchain-based Decentralized Application for Electric Vehicle Scheduling at Charging Station. 2-8 - Kun Suo, Long Vu, Md. Romyull Islam, Nobel Dhar, Tu N. Nguyen, Selena He, Xiaofeng Wu:
A Systematic Investigation of Hardware and Software in Electric Vehicular Platform. 9-17 - Long Vu, Kun Suo, Md. Romyull Islam, Nobel Dhar, Tu N. Nguyen, Selena He, Yong Shi:
Living on the Electric Vehicle and Cloud Era: A Study of Cyber Vulnerabilities, Potential Impacts, and Possible Strategies. 18-26 - Robert Lowe:
A Flexible and Broad Operating System Project. 27-34 - Cindy Robertson, Anca Doloc-Mihu:
Effect of LMS Course Structure on Student Success in Asynchronous Online Courses. 35-42 - Cindy Robertson, David Kerven:
Assessing Mini-Learning Communities in General Education Computing Classes. 43-49 - Katerina Vilkomir, Nic Herndon:
Challenges of Automatic Document Processing with Historical Data. 50-59 - William Stigall, Md Abdullah Al Hafiz Khan, Dinesh Chowdary Attota, Francis Nweke, Yong Pei:
Large Language Models Performance Comparison of Emotion and Sentiment Classification. 60-68 - Nobel Dhar, Bobin Deng, Dan C. Lo, Xiaofeng Wu, Liang Zhao, Kun Suo:
An Empirical Analysis and Resource Footprint Study of Deploying Large Language Models on Edge Devices. 69-76 - Sultan Asiri, Yang Xiao, Saleh Alzahrani:
Towards Improving Phishing Detection System Using Human in the Loop Deep Learning Model. 77-85 - Jared Sheldon, Scott Ross, Thomas Morris, Isabelle Brown, Feng Zhu, Patrick Pape, Phillip Whitlow:
Genomics Cybersecurity Concerns, Challenges, and a Modular Test Lab. 86-94 - Md. Romyull Islam, Long Vu, Nobel Dhar, Bobin Deng, Kun Suo:
Building a Resilient and Sustainable Grid: A Study of Challenges and Opportunities in AI for Smart Virtual Power Plants. 95-103 - Jacob Cappi, Jacob D. Hauenstein:
A Multi-Agent System Approach for Mitigating Partial Display Failures. 104-112 - Daniel Tebor, Eli Headley, Mahmut Karakaya:
Impact of Blinking on Deep Learning Based Iris Recognition. 113-120 - Emily Jackson, Faye Le, Je'Dae I. Lisbon, Max Coleman, Jordyn Burman, Astrid Wonderley, Sepehr Eshaghian, Sanghoon Lee:
Comprehensive Experiments on Breast Cancer Hematoxylin and Eosin-stained Images Using UNet. 121-128 - Md Shakil Hossain, Andrew A. Allen, Noushin Gauhar, Rushmila Shabneen:
Leveraging Eye Tracking and Targeted Regions of Interest for Analyzing Code Comprehension. 129-137 - Eric Gamess, Mausam Parajuli:
Image-Processing Workloads and DDoS Attack Resilience: Evaluating Docker and Podman Containers on Raspberry Pi and ODROID. 138-147 - Christina Trotter, Yixin Chen:
Exploring Fairness-Accuracy Trade-Offs in Binary Classification: A Comparative Analysis Using Modified Loss Functions. 148-156 - Hazim Shatnawi, Jamil Saquer:
Encoding Feature Models in Neo4j Graph Database. 157-166 - Bharath Reddy, Richard Fields:
Performance Analysis of Multiple Sequence Alignment Tools. 167-174
Short Papers
- Sanjaikanth E. Vadakkethil Somanathan Pillai, Wen-Chen Hu:
Privacy-Preserving Mobile Advertising Using ElGamal Encryption and Private Proximity Testing. 176-181 - Sanjaikanth E. Vadakkethil Somanathan Pillai, Wen-Chen Hu:
Privacy-Preserving Gross Domestic Product (GDP) Calculation Using Paillier Encryption and Differential Privacy. 182-187 - Steven Benzel, Ana Stanescu, Ping Ye:
SOTU: A Motivational Example for Data Science Courses. 188-192 - Ziliang Zhang, Jeff Gray:
Test Case Expression in a Low-Code Development Platform. 193-198 - Md. Mutasim Billah Abu Noman Akanda, Maruf Ahmed, AKM Shahariar Azad Rabby, Fuad Rahman:
Optimum Deep Learning Method for Document Layout Analysis in Low Resource Languages. 199-204 - Ethan Hunt:
Phase RAM: Phase Estimation's Application in QRAM. 205-210 - Janet Zulu, Bonian Han, Izzat Alsmadi, Gongbo Liang:
Enhancing Machine Learning Based SQL Injection Detection Using Contextualized Word Embedding. 211-216 - G. M. Biju, Gopinatha Pillai, Albin Jiji:
Enhancing Interpretability of Electrical Load Forecasting with Architecture Optimization. 217-222 - Stanislav Ustymenko, Abhishek Phadke:
Promise and Challenges of Generative AI in Healthcare Information Systems. 223-228 - Mahesh Jamdade, Yi Liu:
A Pilot Study on Secure Code Generation with ChatGPT for Web Applications. 229-234 - Chunlan Gao, Yong Shi:
Prediction Performance Analysis for ML Models Based on Impacts of Data Imbalance and Bias. 235-240 - Kelvin Ovabor, Travis Atkison:
Exploring Firefly and Greywolf Algorithms for Multi-objective Optimization in Wireless Sensor Networks. 241-246 - Christopher Dargan, Francis Nweke, Md Abdullah Al Hafiz Khan, Abm. Adnan Azmee, Yong Pei:
Automated Alphabet Detection from Brain Waves. 247-252 - Nabil Shawkat, Jamil Saquer, Hazim Shatnawi:
Evaluation of Different Machine Learning and Deep Learning Techniques for Hate Speech Detection. 253-258 - Xing Yin, Thai Le:
Benchmarking Machine Learning Techniques for Bankruptcy Prediction under Benign and Adversarial Behaviors. 259-265 - Herart Dominggus Nurue, Jeff Gray:
A Testing Extension for Scratch. 266-271 - Kangning Cui, Zishan Shao, Gregory Larsen, Victor Paúl Pauca, Sarra M. Alqahtani, David Segurado, João Pinheiro, Manqi Wang, David A. Lutz, Robert J. Plemmons, Miles Silman:
PalmProbNet: A Probabilistic Approach to Understanding Palm Distributions in Ecuadorian Tropical Forest via Transfer Learning. 272-277 - Arvinder Kang, Thai Le, Yixin Chen:
Toshakhana: A Multidimensional Panjabi Corpus in Gurmukhi Script. 278-283 - Pegah Ahadian, Yunhe Feng, Karl W. Kosko, Richard E. Ferdig, Qiang Guan:
MNIST-Fraction: Enhancing Math Education with AI-Driven Fraction Detection and Analysis. 284-290 - Yi Gu, Liang Zhao, Bobin Deng, Shaoen Wu:
Evaluation of Thermal Stress on IoT-based Federated Learning. 291-296 - Devin C. Jean, Suk Jai Seo:
Open-Locating-Dominating Sets with Error Correction. 297-301 - Misha Sharma, Arthur Choi:
On Provenance in Topic Models. 302-307
Posters
- Myles Lewis, Wesley Junkins, Chanakya Setty, Chris S. Crawford:
Towards a Brain-Computer Interface Framework for Multi-Party Robot Applications. 309-310 - Kelechi Ariwodo, Carina George, Thien Nghi Duong, Anca Doloc-Mihu, Cindy Robertson:
Teaching Art Creation with Augmented Reality and Aero. 311-312 - Shahrzad Sayyafzadeh, Hongmei Chi, Mark Weatherspoon:
Gemini's Multimodal Prowess: Robust Detection of Adversarial Patch Attacks through Text and Image Inputs. 313-314 - Kevin Rubio, Samuel Downs, Jasmine Roach, Ammar Mehicevic, Anca Doloc-Mihu, Cindy Robertson:
Teaching Sound Editing with Audacity and Makey Makey. 315-316 - Ziliang Zhang, Jeff Gray:
Enhanced Test Case Expression for End-User Developers. 317-318 - Lizi Zhu, Oleg Perchyk, Xiwei Wang:
An Augmented Machine Learning-Based Course Enrollment Recommender System. 319-320 - Aditi Saha, Mohammad Rahman, Fan Wu:
Evaluating LSTM Time Series Prediction Performance on Benchmark CPUs and GPUs in Cloud Environments. 321-322
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