IEEE Access

On 21 September, as the world observes World Gratitude Day, the IEEE Foundation takes a moment to reflect on the immense power of gratitude. This day offers an opportunity to express our deepest thanks to the volunteers, donors, and supporters whose dedication drives IEEE’s mission to advance technology for the benefit of humanity. Read about the origins of World Gratitude Day and hear from IEEE leadership and program leaders in our latest blog article: https://lnkd.in/e8vrjSdU #WorldGratitudeDay

Congratulations to the winners of the IEEE Access 2023 Best Video Award (Part 2) for the video submitted with their published IEEE Access article "Mobile Software Development Kit for Real Time Multivariate Blood Glucose Prediction." Check out the video below, and view the full article for free on IEEE Xplore at https://lnkd.in/euYQ6DbT

A team of scientists from the University of Texas are diving deep into Greenland’s underwater glaciers to better predict future sea level rise! This groundbreaking mission could change our understanding of climate impact. Read the full article below. ⬇️ https://lnkd.in/ey9G8Nz3

"Words are powerful; they can either build bridges or walls. Let’s choose to build a world without hate." 📜 𝐑𝐞𝐬𝐞𝐚𝐫𝐜𝐡 𝐓𝐢𝐭𝐥𝐞: "Enhancing Multilingual Hate Speech Detection: From Language-Specific Insights to Cross-Linguistic Integration" Excited to announce that our research article has been published in the early access section of IEEE Access. This research extends our previous work on hate speech detection, which has been explored within unilingual contexts published by Springer Nature Group: https://lnkd.in/eXiXZTa6, and bilingual contexts, available in IEEE Xplore: https://lnkd.in/d4u7d8uw. This new study expands our scope to 13 languages: English, German, Chinese, Arabic, Russian, Turkish, Roman Urdu, Korean, Italian, Spanish, Portuguese, French, and Indonesian expanding the limits of what AI can understand and handle in our diverse global community. 𝐈𝐧𝐧𝐨𝐯𝐚𝐭𝐢𝐯𝐞 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬 𝐌𝐞𝐭𝐡𝐨𝐝𝐬: - Prompt-based Fine-Tuning customizes the learning process to enhance the interpretation of nuanced language usage. - Transfer Learning with N-1 Strategy and Incremental Learning to help our models learn efficiently and effectively, adapting to new languages and contexts. - The Unified multilingual hate speech Detection framework integrates advanced techniques into a single, robust model. - Benchmark testing involves rigorous evaluation of our multilingual hybrid model against benchmarks like GermEval-2018, GermEval-2021, AMI 2018, HateEval-2019, and the Roman Urdu hate speech dataset highlighting its robustness and adaptability across diverse linguistic contexts. - Integration of Explainable AI (XAI) with LIME, enhancing transparency and understanding in AI decision-making. Link to the journal article: https://lnkd.in/d2R4NcrN This work, part of the SOCYTI project: https://lnkd.in/dJbyH3uU led by Rajendra Akerkar and funded by the Research Council of Norway (NFR), explores the complexities of online hate speech. Thanks to all the co-authors for their contributions to the work. Sule Yildirim Yayilgan, Ibrahim A. Hameed, Muhammad Mudassar Yamin, Mohib Ullah, Mohamed Abomhara Norwegian University of Science and Technology (NTNU), NTNU Fakultet for informasjonsteknologi og elektroteknikk, MRPET Research Group

Machine Learning Pipeline for Power Electronics State of Health Assessment and Remaining Useful Life Prediction Power electronic devices are integral to numerous applications in modern technology. The non-linear degradation and subsequent abrupt failure of these devices demand regular State of Health (SoH) checkups as well as accurate prediction of their Remaining Useful Life (RUL). Our open IEEE Access paper proposes a computationally efficient machine-learning pipeline capable of accurately predicting the SoH and RUL of power electronic devices. To evaluate the effectiveness of the proposed approach, we conduct an exploratory analysis of MOSFET (Metal Oxide Field Effect Transistor) device degradation data. https://lnkd.in/eVSFWWRU Beyond power electronic devices the proposed pipeline can be adapted to determine the RUL of other electronic devices with non-linear degradation behaviour, thus becoming a methodology for future studies in this domain. Congratulations to the authors: Civan Lezgin Kahraman, Ph.D., Jonathan Swingler, Darius Roman , and Lucas Kirschbaum. A great collaboration across Heriot-Watt University and University of Glasgow. #electronics #machinelearning #prognostics

I am thrilled to announce that our recent paper, "A Single-Layer Planar Array Antenna Using Circularly-Polarized Reconfigurable Elements for Conical-Beam Radiation," has been published in IEEE Access. This work highlights the effectiveness of reconfigurable element-to-array design technology, streamlining antenna design by reducing component complexity and enhancing performance for the target operation. Therefore, this work paves the way for simpler and more efficient design approach. I would also like to thank my supervisor, Prof. Ichihiko Toyoda, my co-supervisor Dr. Eisuke Nishiyama and all my lab members from Saga University for their support.

🚀 New Publication Alert! 🚀 I'm excited to share that my research paper, co-authored with Dr. Omid Fatahi Valilai Fatahi Valilai, has been published in the IEEE Access Journal! 📑 Our paper, titled "Influencer-Driven Paradigm Shifts: Analyzing Sustainability and Customer Behavior in Cell Phone and E-Auto Industries via Social Media Analytics," explores how social media influencers shape consumer behavior and drive sustainability in the mobile phone and electric vehicle industries. This study uses Machine Learning through a System Dynamics Approach to investigate the powerful role of influencers in shaping consumer loyalty and behavior across product lifecycle management (PLM) cycles. We focus on sustainability and how influencer-driven trends can shift consumer behaviors in the direction of eco-friendly practices. 🌱📱🚗 A special thanks to Constructor University University for the unwavering support throughout this research journey. I’m grateful for the opportunity to continue exploring the intersection of sustainability, consumer behavior, and social media analytics. 💡 Feel free to read the full paper in IEEE Access. DOI: 10.1109/ACCESS.2024.3449113 https://lnkd.in/dVcCnG3Q #IEEEAccess #SocialMediaAnalytics #InfluencerMarketing #Sustainability #ConsumerBehavior #MachineLearning #SentimentAnalysis #SystemDynamics #PLM #EAuto #Research #Innovation #ConstructorUniversity

I am pleased to announce that our research on EMI Simulation of PMSM Drive Systems is already available in IEEE Access journal. 📖 I would like to thank the co-authors Gaizka Almandoz Larralde, Aritz Egea, Imanol Eguren Alustiza and Ander Urdangarin Lasa for their work on this publication.

Read about a framework researchers are using to develop a system for unmanned aerial vehicles (UAVs) to read International Maritime Organization(IMO) identification numbers on ships. Find out how it's done in the latest issue of IEEE Access. 🔗 https://loom.ly/fnUO8RI #IEEE #IEEEXplore #IEEEAccess #Shipping #UAVs #IMONumber #Transportation