- Huber Nieto-Chaupis:
Principles of a Prospective Internet of Public Viral Surveillance. AIBThings 2023: 1-5 - Çagdas Özer, Mustafa Takaoglu, Taner Dursun:
Forecasting the Impact Of The News On Cryptocurrency via Machine Learning Algorithms. AIBThings 2023: 1-5 - Madan Parajuli, Amy W. Amara, Mohamed Shaban:
A Novel Deep-Learning Based Approach for Mild Cognitive Impairment Screening in Patients with Parkinson's Disease. AIBThings 2023: 1-4 - Hunter Phillips, Steven Lasch, Mahesh Maddumala:
American Sign Language Translation Using Transfer Learning. AIBThings 2023: 1-5 - Raneem Qaddoura, Mariam M. Biltawi, Hossam Faris:
A Metaheuristic Approach for Life Expectancy Prediction based on Automatically Fine-tuned Models with Feature Selection. AIBThings 2023: 1-7 - Ghazia Qaiser, Siva Chandrasekaran, Rifai Chai, Jinchuan Zheng:
Classification of DDoS traffic for Industrial Internet of Services using Deep learning approaches. AIBThings 2023: 1-9 - Mostafizur Rahman, Saiful Islam, Sadia Binta Sarowar, Meem Tasfia Zaman:
Multiple Disease Prediction using Machine Learning and Deep Learning with the Implementation of Web Technology. AIBThings 2023: 1-7 - Jorge Ramirez, Wen Yu:
Safe Exploration in Reinforcement Learning for Learning from Human Experts. AIBThings 2023: 1-5 - Charles S. Rawlins, Sarangapani Jagannathan:
Towards Robust Consensus for Intelligent Decision-making in IoT Blockchain Networks. AIBThings 2023: 1-5 - Charles C. Rawlins, Sarangapani Jagannathan:
Improved Intelligent Ledger Construction for Realistic IoT Blockchain Networks. AIBThings 2023: 1-5 - Nilanjana Raychawdhary, Nathaniel Hughes, Sutanu Bhattacharya, Gerry V. Dozier, Cheryl D. Seals:
A Transformer-Based Language Model for Sentiment Classification and Cross-Linguistic Generalization: Empowering Low-Resource African Languages. AIBThings 2023: 1-5 - Majd Safi, Brandon Simpson, Eric B. Clark, Haytham Idriss, Tarek A. Idriss:
Lightweight Random Obfuscation Protocol: A PUF-based Mutual Authentication Protocol for IoT Devices. AIBThings 2023: 1-5 - Serge Sandakly, Charbel Salem, Khalil Challita, Shuvalaxmi Dass, Joseph Azar, Jacques Bou Abdo, Jacques Demerjian:
XorshiftH128+: A hybrid random number generator for lightweight IoT. AIBThings 2023: 1-5 - Darshan Gangaram Sarkale, Vedant Jagdishbhai Gabani, Wandong Zhang, Thangarajah Akilan:
NLP-driven Content Classification Towards Fake News and Bully Detection. AIBThings 2023: 1-5 - Arpita Sarker, Alexander Jesser, Markus Speidel:
Advancing Decentralized IoT with Privacy-preserving AI: Harnessing Federated Learning and NLP Techniques. AIBThings 2023: 1-5 - Md. Abu Sayeed, Patrick Carr:
An Accurate and Low-power Sleep Apnea Detector in the Edge-IoT Platform. AIBThings 2023: 1-4 - Gerrit Schumann, Jan-Philipp Awick, Jorge Marx Gómez:
Natural Language Processing using Federated Learning: A Structured Literature Review. AIBThings 2023: 1-7 - Even Sekhri
, Mart Tamre, Rajiv Kapoor, Rahul Kumar:
A Novel Real-Time Parametric Tracking Approach for Robust Microwave Filter Tuning. AIBThings 2023: 1-5 - Saad Bin Shams, Andreas Kind, Florian Ansgar Jaeger, Gunter Beitinger, Ionut Alexandru Leonte, Maximilian Weinhold, Vinh Pham:
Trustworthy Supply Chain Exchange for Product Carbon Footprint. AIBThings 2023: 1-6 - Brett Sicard, Quade Butler, Patrick Korsieb, Yuandi Wu, Youssef Ziada, S. Andrew Gadsden:
IIoDT: Industrial Internet of Digital Twins for Hierarchical Asset Management in Manufacturing. AIBThings 2023: 1-5 - Brett Sicard, Quade Butler, Patrick Korsieb, Yuandi Wu, Youssef Ziada, S. Andrew Gadsden:
Design Considerations for Building an IoT Enabled Digital Twin Machine Tool Sub-System. AIBThings 2023: 1-5 - Faezeh Soleimani, Saeed Bidi, Omid Habibzadeh-Bigdarvish, Xinbao Yu:
Applications of Machine Learning in Predicting the Bridge Deck Surface Temperature. AIBThings 2023: 1-5 - John Swaim, Chad Workman, Jia Di, Xiaojiang Du:
An Internet of Things Testbed for Education and Community Research. AIBThings 2023: 1-5 - Hanan Thwany, Muhammad Alolaiwy, Mohamed Zohdy, William Edwards, Chris J. Kobus:
Machine Learning Approaches for EV Charging Management: A Systematic Literature Review. AIBThings 2023: 1-6 - Ayesha Zafar, Sardar Muneeb, Muazz Amir, Akhtar Jamil, Alaa Ali Hameed:
A Multi-modal Approach to Lung Tumor Detection using Deep Learning. AIBThings 2023: 1-6 - IEEE International Conference on Artificial Intelligence, Blockchain, and Internet of Things, AIBThings 2023, Mount Pleasant, MI, USA, September 16-17, 2023. IEEE 2023, ISBN 979-8-3503-2234-7 [contents]
