AIoT 2024
IEEE Annual Congress on Artificial Intelligence of Things (IEEE AIoT)
24-26 July 2024 · Melbourne, Australia
IEEE
IEEE Internet of Things

List of Accepted Papers

Main Conference Papers
  1. Drivers' Distraction Detection using Machine Learning Techniques
    Saad Al-Ahmadi (King Saud University, Saudi Arabia)

  2. Recruiting Trustworthy Crowdtesters in AIoT: A Cheat-Proof and Budget-Feasible Mechanism
    Yuntao Wang (Xi'an Jiaotong University, China), Qichao Xu (Shanghai University, China), Shaolong Guo (Xi'an Jiaotong University, China), Zhou Su (Xi’an Jiaotong University, China), Yiliang Liu (Xi’an Jiaotong University, China)

  3. Gossip Learning in Edge-Retentive Time-Varying Random Graphs with Node Churn
    Mina Aghaei Dinani (HES SO, Switzerland), Antonio Di Maio (University of Bern, Switzerland), Gianluca Rizzo (HES SO Valais and Universita' di Foggia, Italy)

  4. Application Placement via Actor-Coordinator-Critic Embedded Harris Hawks Optimization in Dynamic SAGIN Environments
    Nasrin Akhter (Swinburne University of Technology, Australia), Jiong Jin (Swinburne University of Technology, Australia), Redowan Mahmud (Curtin University, Australia), Jason But (Swinburne University of Technology, Australia), Longxiang Gao (Qilu University of Technology, China), Yong Xiang (Deakin University, Australia)

  5. Pump Cavitation Detection with Machine Learning: A Comparative Study of SVM and Deep Learning
    Mohammad Amin Hasanpour (Technical University of Denmark (DTU), Denmark), Rasmus Engholm (Grundfos Holding A/S, Denmark), Xenofon Fafoutis (Technical University of Denmark (DTU), Denmark)

  6. BatSort: Enhanced Battery Classification with Transfer Learning for Battery Sorting and Recycling
    Yunyi Zhao (Singapore Institute of Technology (SIT), Singapore), Zhang Wei (Singapore Institute of Technology (SIT), Singapore), Erhai Hu (Nanyang Technological University, Singapore), Qingyu Yan (Nanyang Technological University, Singapore), Cheng Xiang (National University of Singapore, Singapore), King Jet Tseng (Singapore Institute of Technology (SIT), Singapore), Dusit Niyato (Nanyang Technological University, Singapore)

  7. Potential of Deep Learning Technique to Enhance the Accuracy of ECG Heartbeats Arrhythmia Time Series
    Gurpreet Singh (Chandigarh University, India), Kumari Simran (Chandigarh University, India)

  8. NLP Enabled Autonomous Indoor Navigation Robot for Kannada in RHCs
    Kunal Kathare (PES University, India), Kushal Cg (PES University, India), Kevin Philip Kottukapally (PES University, India), Kshitij Sharma (PES University, India), Vadiraja Acharya (PES University, India)

  9. Decomposition and Correlation Analysis of Daily Time Series Data for New COVID-19 Cases in the Kansai Region of Japan
    Hideo Noda (Tokyo University of Science, Japan), Koki Kyo (Gifu Shotoku Gakuen University, Japan)

  10. Deep Learning for Blood Cells Classification Based on Multispectral Imaging for Improved Accuracy
    Thiha Aung (School of Engineering, RMIT University, Australia), James Brady (School of Engineering, RMIT University, Australia), Tetiana Hourani (Department of Medicine, The University of Melbourne, Australia), Aaron Elbourne (School of Engineering, RMIT University, Australia), Sumeet Walia (School of Engineering, RMIT University, Australia), Akram Hourani (School of Engineering, RMIT University, Australia)

  11. UAV-assisted Intelligent IoT Service Provisioning in Infrastructure-less Environments
    Qiushi Zheng (Swinburne University of Technology, Australia), Zhishu Shen (Wuhan University of Technology, China), Jiong Jin (Swinburne University of Technology, Australia), Zheng Lei (Swinburne University of Technology, Australia), Tommy Cheung (Swinburne University of Technology, Australia), Wei Xiang (La Trobe University, Australia)

  12. Demystify Adult Learning: A Social Network and Large Language Model Assisted Approach
    Fang Liu (Singapore University of Social Sciences, Singapore), Bosheng Ding (Nanyang Technological University, Singapore), Chong Guan (Singapore University of Social Sciences, Singapore), Wei Zhang (Singapore Institute of Technology (SIT), Singapore), Dusit Niyato (Nanyang Technological University, Singapore), Justina Tan (Singapore University of Social Sciences, Singapore)

  13. Kubernetes Enhanced Stateful Service Migration of ML-Driven Applications for Real I4.0 Environments
    Paolo Bellavista (University of Bologna, Italy), Simon Dahdal (University of Ferrara, Italy), Luca Foschini (University of Bologna, Italy), Davide Tazzioli (University of Bologna, Italy), Mauro Tortonesi (University of Ferrara, Italy), Riccardo Venanzi (University of Bologna, Italy)

  14. Model Sharing Mechanisms For Distributed Learning
    Sisui Ngoh (Singapore University of Technology and Design, Singapore), Hongbo Li (Singapore University of Technology and Design, Singapore), Lingjie Duan (Singapore University of Technology and Design, Singapore)

  15. Multi-MedChain: Multi-Party Multi-Blockchain Medical Supply Chain Management System
    Akanksha Saini (School of AISCC, RMIT University, Australia), Arash Shaghaghi (School of Computer Science and Engineering, UNSW, Australia), Zhibo Huang (School of Computer Science and Engineering, UNSW, Australia), Salil Kanhere (School of Computer Science and Engineering, UNSW, Australia)

  16. Two-tier Multi-zone Consensus: Enable Intelligence Sharing for AIoT with Enhanced Security
    Weikang Liu (Beijing University of Posts and Telecommunications, China), Bin Cao (Beijing University of Posts and Telecommunications, China), Mugen Peng (Beijing University of Posts and Telecommunications, China)

  17. An Effective Vehicle Trajectory Restorat on Multi-Camera Tracking
    Wei-Chieh Wang (National Sun Yat-sen University, Taiwan), Yung-Hao Shiau (National Sun Yat-sen University, Taiwan), Chun-Wei Tsai (National Sun Yat-sen University, Taiwan)

  18. Decentralized Anonymous Crowdsourcing with Blockchain and Anonymous Payments
    Hanwei Zhu (Australian National University, Australia), Sid Chau (CSIRO's Data61, Australia)

  19. Intelligent Edge Caching for Metaverse Applications Based on Grover Search
    Guoquan Wu (State Key Laboratory of Public Big Data at Guizhou University, China and Southern University of Science and Technology, China), Jianhang Tang (Guizhou University, China), Yang Zhang (Nanjing University of Aeronautics and Astronautics, China), Bo Wang (Singapore University of Technology and Design, Singapore), Wenchao Jiang (Singapore University of Technology and Design, Singapore), Zehui Xiong (Singapore University of Technology and Design, Singapore), Yixiong Feng (Guizhou University, China)

  20. Research on State-Based Bluetooth Multi-Protocol Fuzzing
    Benyan Hou (Xidian University, China), Chenglong Huang (Xidian University, China), Ting Yang (Xidian University, China), Gaofei Wu (Xidian University, China), He Wang (Xidian University, China), Yuqing Zhang (University of Chinese Academy of Sciences, China)

  21. Empirical Distribution Ranking based Decision Tree Algorithm for building Intrusion Detection System in the Internet of Medical Things
    Laura Tileutay (Ajou University, South Korea), Jisi Chandroth (Ajou University, South Korea), Keun-Woo Lim (Institut Polytechnique de Paris, France), Young-Bae Ko (Ajou University, South Korea), Byeong-Hee Roh (Ajou University, South Korea)

  22. Design and Implementation of Vulnerability Platform Based on Knowledge Graph
    Zaiqi Huang (Xidian University, China), Yujie Chen (Xidian University, China), Xudong Cao (University of Chinese Academy of Sciences, China), Xuejun Li (Xidian University, China), Yuqing Zhang (University of Chinese Academy of Sciences, China)

  23. Deep Reinforcement Learning-Empowered Federated Learning for Wireless Clients with Energy and Bandwidth Constraints
    Sili Wu (The University of Sydney, Australia), Sheng Shen (The University of Sydney, Australia), Phee Lep Yeoh (University of the Sunshine Coast, Australia), Teng Joon Lim (The University of Sydney, Australia)

  24. A Hybrid Frequency Offset Estimation Combining Data-Driven Method and Model-Driven Method for 6G OFDMA Systems
    Haesik Kim (VTT Technical Research Centre of Finland, Finland)

  25. Harnessing machine learning in AIoT Environment to Support Evidence-Based Medicine Using Transformers
    Sabah Mohammed (Lakehead University, Canada), Jinan Fiaidhi (Lakehead University, Canada)

  26. Integer-only Quantized Transformers for Embedded FPGA-based Time-series Forecasting in AIoT
    Tianheng Ling (Singapore University of Technology and Design, Singapore), Chao Qian (Singapore University of Technology and Design, Singapore), Gregor Schiele (University of Duisburg-Essen, Germany)

  27. Dynamic Data Indication: Designing Service-Based PHR Frames for UWB Systems
    Zhifan Ye (Tsinghua University, China), Yapeng Gao (Tsinghua University, China), Liuguo Yin (Tsinghua University, China)

  28. Low-Resolution Image Enhancement using Generative Adversarial Networks
    Melvin Ajuluchukwu (Federal University of Technology Owerri, Nigeria), Atef Shalan (The American University in Cairo, Egypt), Lei Chen (University of Houston, USA), Yiming Ji (University of Houston, USA), Emmanuel Balogun (Federal University of Technology Owerri, Nigeria)

  29. Sleep Monitoring Systems based on Edge Computing and Microservices Caching
    Nico Surantha (Tokyo City University, Japan), David Jayaatmaja (Bina Nusantara University, Indonesia), Sani Muhamad Isa (Bina Nusantara University, Indonesia)

  30. Vision-Based Gait Analysis for the Detection of Drug-Induced Parkinsonism
    Chun Hung Lee (Taoyuan Psychiatric Center ,MOHW, Taiwan), Andrew An-Zhe Lee (National Cheng Kung University, Taiwan), Yu-Hsin Liu (King's College London, UK), Guan-Hsiung Liaw (I-Shou University, Taiwan), Wu-Chuan Yang (I-Shou University, Taiwan)

  31. Online Prediction of Transient Stability Status Using Steady-State Features in Renewable Energy-Rich Smart Grids
    Emenike Ugwuagbo (University of Nigeria, Nigeria), Biplob Ray (University of New South Wales, Australia), Jay Sul (University of New South Wales, Australia), Nurun Nabi (University of New South Wales, Australia), Ujjwal Datta (University of New South Wales, Australia)

  32. FedNav: A Federated Learning Approach for Secure AIoT-enabled Inertial Odometry
    Omer Tariq (Korea Advanced Institute of Science and Technology, South Korea), Muhammad Bilal (Lancaster University, UK), Dongsoo Han (Korea Advanced Institute of Science and Technology, South Korea)

  33. Semantic Communication Networks Empowered Artificial Intelligence of Things
    Yuntao Wang (Xi'an Jiaotong University, China)

  34. Simulating sensor noise model for real-time testing in a virtual underwater environment
    Junwen Deng (Southern University of Science and Technology, China), Andrew Filisetti (Southern University of Science and Technology, China), Hui Sheng Lim (Southern University of Science and Technology, China), Du Yong Kim (Southern University of Science and Technology, China), Akram Al-Hourani (Southern University of Science and Technology, China)

  35. Fine Tuning YOLO for Detecting Inflammatory Bowel Diseases
    Jinan Fiaidhi (Lakehead University, Canada), Sabah Mohammed (Lakehead University, Canada)

Short Papers
  1. Facial Expression Classification using Deep Learning
    Shalu Kumari (Chandigarh University, India), Nitika Kapoor (Chandigarh University, India), Ravinder Saini (Chandigarh University, India)

  2. A Hybrid Convolutional Neural Networks and Logistic Regression Framework for Robust Cyber Attack Detection in Artificial Intelligence of Things (AIoT)
    Brij B. Gupta (Asia University, Taiwan), Akshat Gaurav (Ronin Institute, USA), Varsha Arya (Asia University, Taiwan), Kwok Tai Chui (Hong Kong Metropolitan University (HKMU), Hong Kong)

  3. Harnessing IoT for Intelligent Attendance Tracking
    Kotha Sai Chandan (JNTU-H, India), Mss Bhargav (JNTU-H, India), R Anirudh Reddy (JNTU-H, India), K Maniraj (JNTU-H, India)

  4. Stroke Prediction Using Advance Machine Learning Algorithms
    Vinod Jain (GLA University, India), Anuj Mangal (GLA University, India)

  5. ClimaQuest: An AI-Enhanced Gamified Journey for Empowering Students in Climate Change and Renewable Energy Education
    Mohammed Saleh (Higher Colleges of Technology, UAE)

  6. Workforce Connect: A Digital Platform for Daily Wage Laborers to find daily jobs from employers
    Mohd Sameer (Chandigarh University, India), Maneesh Siyol (Chandigarh University, India), Anjali Singh (Chandigarh University, India)

  7. Exploring the Pros and Cons of API-Based Background Screening: A Comprehensive Review
    Rohit Chaudhary (Chandigarh University, India)

  8. Facial Expression Recognition Using Deep Convolution Neural Networks
    Mohammed Almulla (Kuwait University, Kuwait)

  9. Sustainable ecosystem with AIoT and Blockchain
    Hiroshi Watanabe (National Yang Ming Chiao Tung University, Taiwan), Atsuhiro Kinoshita (Fixstars, Japan), Shu Torisawa (Beyond Blockchain, Japan)

  10. Intelligent tool cabinet management system integrating AI technology and IoT technology
    Ting Liu (Xidian University, China), Hang Ju (Xidian University, China), Ting Liu (Xidian University, China)

  11. Trustworthy Hierarchical Federated Learning for Digital Healthcare
    Sarhad Arisdakessian (Polytechnique Montréal, Canada), Omar Abdel Wahab (Polytechnique Montréal, Canada), Osama Wehbi (Polytechnique Montréal, Canada), Azzam Mourad (Lebanese American University, Lebanon), Hadi Otrok (Khalifa University, UAE)

  12. Artificial Intelligence in the African Countryside: Tackling Data Scarcity in Rural Agricultural Fields
    Bhekisisa Dube (Stellenbosch University, South Africa)

  13. Optimizing Crop Yields With Multilayer Perceptrons: A Data-Driven Approach
    Nivetha N (Anna University, India), Usharani R (Anna University, India)

  14. Identification of Different Medical Plants through image processing Using Machine Learning
    Nithish G (IFET College of Engineering, India), Rajakuru P M (IFET College of Engineering, India), Leema Roselin G (IFET College of Engineering, India)

  15. Enhancing Quadrotor Tracking with Unknown and Variable Payloads Using Adaptive Sliding Mode Techniques
    Khaled Telli (University Mohamed Khider Biskra, Algeria), Okba Kraa (University Mohamed Khider Biskra, Algeria), Yassine Himeur (University of Dubai, UAE), Shadi Atalla (University of Dubai, UAE), Wathiq Mansoor (University of Dubai, UAE)

  16. Towards Predicting School Garden Yield using IoT
    Robert Frencham (La Trobe University, Australia)

  17. Desigm of Optimal Machine Learning based Pancreatic Tumor and Nontumor Classification Model Using Computed Tomography Scans
    Nandhini V (Anna University, India), Karthik V (Anna University, India), Shanmugapriya D (Anna University, India)

  18. TinyML for Predictive Maintenance: A Systematic Review and Future Directions
    Samson O. Ooko (University of Nairobi, Kenya), Simon M. Karume (University of Nairobi, Kenya)

  19. A Secure Spectrum Resource Sharing Mechanism for UAV-Aided Vehicular Networks in AIoT
    Qichao Xu (Shanghai University, China)

  20. Model-Independent Approach For Long-Tail Object Detection In Aerial Imagery
    Halar Haleem (University of Plymouth, UK), Igor Bisio (University of Plymouth, UK), Chiara Garibotto (University of Plymouth, UK), Fabio Lavagetto (University of Plymouth, UK), Andrea Sciarrone (University of Plymouth, UK)

  21. EEG Brain Signal Emotion Classification Using AI
    Sonvi Tyagi (Shiv Nadar University, India), Ashita Chauhan (Shiv Nadar University, India), Sanatan Ratna (Shiv Nadar University, India)

  22. Rethinking Stochastic Optimization: A Meta-Heuristic Route to Enhanced Predictive Accuracy
    Anam Nawaz Khan (National University of Sciences and Technology, Pakistan), Qazi Waqas Khan (National University of Sciences and Technology, Pakistan), Rashid Ahmad (National University of Sciences and Technology, Pakistan), Do Hyeun Kim (Jeju National University, South Korea)

  23. An Analysis of Cybersecurity Mandates in the Context of Digital Reliance within Hybrid IT Models
    Mohammed Saleh (Higher Colleges of Technology, UAE)

Invited Papers
  1. Disaggregated Computing Access Network using Newly Structured Hollow-Core fiber for AIoT Platform
    Naoaki Yamanaka (Keio University, Japan), Takahiro Ishiyama (Keio University, Japan), Satoru Okamoto (Keio University, Japan), Hiroyuki Tsuda (Keio University, Japan), Kazunori Mukasa (Keio University, Japan)

  2. Domain Generalization for Time-Series Forecasting via Extended Domain-Invariant Representations
    Yunchuan Shi (University of Sydney, Australia), Wei Li (University of Sydney, Australia), Albert Zomaya (University of Sydney, Australia)

  3. A Privacy-Preserving Federated Learning Framework for IoT Environment Based on Secure Multi-party Computation
    Tieming Geng (University of South Carolina, USA), Jian Liu (University of South Carolina, USA), Chin-Tser Huang (University of South Carolina, USA)

  4. Navigating Uncertainty: Ambiguity Quantification in Fingerprinting-based Indoor Localization
    Junwei Ma, Xiangyu Wang (Auburn University, USA), Jian Zhang (Kennesaw State University, USA), Shiwen Mao, Senthilkumar Cg Periaswamy, Justin Patton (Auburn University, USA)

Posters
  1. Design and Implementation of Password and Fingerprint-Enabled Circuit Breaker using Arduino, Iot and GSM
    Kanagalakshmi K (Anna University, India), Aarthi R (Anna University, India), Devipriya S (Anna University, India), Gnanasambanthan S (Anna University, India)

  2. Transforming Agriculture: Enabling Informed Decision-Making with a Real-time Smart Scale Management System(AgriScale-Pro)
    Amruta Amune (Vishwakarma Institute of Technology, India), Shubham Lonare (Vishwakarma Institute of Technology, India), Roshan Madake (Vishwakarma Institute of Technology, India), Saurav Maghade (Vishwakarma Institute of Technology, India), Meghraj Ranaware (Vishwakarma Institute of Technology, India)

  3. Pregnancy detection on a smartphone using deep learning
    Kun-Chan Lan (National Cheng Kung University, Taiwan)

  4. Detecting The Seizure Conditions of Human with Dataset Using Deep Belief Network Algorithm
    Oviyaajanani S (University of Madras, India), Gunavathi M (University of Madras, India), Sudha S (University of Madras, India)

  5. Ethical Guidelines and Future Directions for AIoT in Healthcare: A Comparative Study of EU and Taiwan
    Chun Hung Lee (Taoyuan Psychiatric Center, MOHW, Taiwan), Andrew An-Zhe Lee (National Cheng Kung University, Taiwan), Yu-Hsin Liu (King's College London, UK), Guan-Hsiung Liaw (I-Shou University, Taiwan), Wu-Chuan Yang (I-Shou University, Taiwan)

  6. Multi-Reference Images Based on AI Identification to Complete Automatic Assembly Fasteners by Robot
    Wen-Yang Chang (National Taiwan University, Taiwan), Michael-Leandro Hartono (National Taiwan University, Taiwan)

  7. Towards Auto-Building of Embedded FPGA-based Soft Sensors for Wastewater Flow Estimation
    Tianheng Ling (Singapore University of Technology and Design, Singapore), Chao Qian (Singapore University of Technology and Design, Singapore), Gregor Schiele (University of Duisburg-Essen, Germany)







News

  • Feb 1, 2024

    Web site is up.

  • Feb 1, 2024

    Call for Papers published.

Important Days

  • March 25, 2024

    Paper Submission

  • April 20, 2024

    Paper Submission

  • May 8, 2024

    Paper Submission (FIRM)

  • June 10, 2024

    Notification of Acceptance

  • July 3, 2024

    Final Manuscript (Camera Ready)

Copyright © IEEE International Conference on Artificial Intelligence of Things (IEEE AIoT)