IEEE Access

Innovation starts with bold ideas. Share yours with the world—submit your research to IEEE Access today! 📥 https://lnkd.in/eFnU_wDi

🎉 Exciting News! 🎉 Our manuscript, "A Federated Learning Framework for Enhanced Data Security and Cyber Intrusion Detection in Distributed Network of Underwater Drones," has been officially accepted for publication in IEEE Access! 🚀 This research was a collaborative effort by Mansahaj Singh Popli, Dr. Navneet Kaur Popli, Ph.D., PEng., and Dr. Mohammad Mamun. We are incredibly grateful for the support from the National Research Council Canada / Conseil national de recherches Canada (NRC), which made this project possible. Thanks to the reviewers for their thoughtful and constructive feedback, helping us refine our manuscript. A big shoutout to the SOLIDS Lab, the University of Victoria and the UVic Engineering and Computer Science for providing the tools, environment, and encouragement to succeed. I'm grateful for the opportunity to contribute to this work and am excited to see how this research can inspire further innovations in secure underwater drone technology. Looking forward to sharing more details and insights from this research soon! Stay tuned! 📚✨ #Research #Cybersecurity #UnderwaterDrones #FederatedLearning #IEEEAccess #SOLIDSLab #UVicECE #Collaboration #UVic

I’m happy to share that our latest paper, titled “Cooperative Identification of Prolonged Motor Movement from EEG for BCI without Feedback”, has been accepted for publication in IEEE Access 🎉🎊 The pre-print is already available on: https://lnkd.in/eYcXN559 In this work, we propose a novel technique for the recognition of prolonged motor movements from EEG. I would like to thank my co-authors, Prof. Saeid Sanei and Dr. João Filipe Ferreira, for their contribution and help with this paper. Nottingham Trent University Department of Computer Science at NTU NTU Research #BCI #EEG #motormovements #signalprocessing #diffusionadaptation #openresearch #ntu #thesis

In the 2025 edition of IEEE Access, read about Robotic Process Automation (RPA) and how it assists with routine, rules-based tasks. When coupled with AI, RPA systems can analyze data, identify patterns, classify information, and forecast, ultimately leading to a more productive workplace. Read more here: 🔗 https://loom.ly/vobuJJs  #IEEE #IEEEAccess #RoboticProcessAutomation #AI #Robotics #Automation

🌟 Excited to Share a New Milestone! 🚀 I’m thrilled to announce that our research article, "DeepReinforcementLearning-Based Speed Predictor for Distributionally Robust Eco-driving," has been published in IEEE Access! This marks another step in advancing eco-driving strategies, Intelligent Transportation Systems, and Sustainable Mobility. 🎯 Article Highlights 🔍 Objective: Proposes a DRL-based eco-driving technique for non-communicating HDVs, achieving 95.4% prediction accuracy and 12.5% energy savings, validated for real-world ITS applications. 📚 Access Early Version: IEEE Xplore Link: https://lnkd.in/d5mqj9sC This achievement wouldn't have been possible without the incredible support and guidance of my genius Supervisors🙏. 🙌 Grateful for all the support from my peers, mentors, and the research community. Let’s keep driving innovation forward! #Research #IEEEAccess #EcoDriving #ReinforcementLearning #ITS #Sustainability💡

Introducing BERT-NAR-BERT (BnB) — a non-autoregressive sequence-to-sequence model that leverages BERT checkpoints for faster natural language tasks! ⚡️ With 10x faster inference speeds and minimal quality loss, BnB sets a new standard in text generation. Learn more in this featured IEEE Access article ⬇️ https://lnkd.in/eaSzAdU6

#Journal #IEEE #IEEEAccess #Top10% #Q1 #Publication #2025 Kickstarted with #2024 Research Efforts... 🚀 Breaking New Ground! 🚀 Excited to share our latest research publication: **Enhanced YOLOv10 Framework Featuring DPAM and DALSM for Real-Time Underwater Object Detection** in IEEE Access, IEEE Xplore, IEEE. 🌊🌟 Our study introduces two innovative techniques—Dynamic Parallel Attention Module (DPAM) and Depth-Adaptive Lidar-Sonar Matching (DALSM)—integrated into the Enhanced YOLOv10 framework. This advancement significantly boosts the accuracy and efficiency of underwater object detection, opening new doors for exploration and monitoring in challenging underwater environments. Dr. Suthir Sriram, Aburvan P, Arun Kaarthic T P, Nivethitha V Amrita School of Computing, AMRITA Vishwa Vidyapeetham, Chennai Campus, Chennai, India & Dr. Thangavel Murugan United Arab Emirates University IEEE Access, doi: 10.1109/ACCESS.2025.3527315. Read the full publication here: https://lnkd.in/dnivqpQS #Research #UnderwaterDetection #IEEEAccess #YOLOv10 #DPAM #DALSM #AI #DeepLearning #MachineLearning #Innovation

I am thrilled to announce that my solo research paper, titled "A Novel Generic Autonomous Synchronization Method for Microgrids," has been published in IEEE Access, which has an Impact Factor of 3.4! https://lnkd.in/e9_CgkeD This paper presents a novel synchronization approach that effectively synchronizes islanded microgrids (IMs) with grid-connected microgrids (GCMs). It enables seamless reconnection of distributed generation (DG)-based converters or isolated microgrids after intentional disconnections and facilitates re-synchronization during abnormal conditions, such as short circuits. Key Contributions: Generic Synchronization Technique: Operates effectively across various scenarios without the need for a phase-locked loop (PLL). Robust Performance: Works under short-circuit conditions while maintaining system stability. Autonomous Functionality: Enables synchronization of both balanced and unbalanced utilities, allowing for autonomous disconnection and resynchronization of Microgrids.

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🌟 New Publication 🌟 Title: Enhancing Physical Layer Security in WPCNs with IRS and Controlled Jamming for 6G IoT Applications 📜 Published in: IEEE Access 🔗 https://lnkd.in/gR797niC ✨ This work is a step forward in securing low-power IoT devices in energy-constrained environments, crucial for the future of 6G applications. 👨🔬 Authors: Iqra Hameed Abid Afridi Myung-Sun Baek Hyoung-Kyu Song We are grateful to all collaborators and mentors who supported this research. 📌 Hashtags: #6G #IoT #WirelessPoweredCommunication #PhysicalLayerSecurity #IRS #Innovation #EnergyEfficiency #IEEE