A Novel Linearly Complex Extended Signed Response-Based Node Authentication Scheme for Internet of Medical Things by Muhammad Saud Khan, Muhammad Sardaraz, Muhammad Tahir, Abdullah Alourani

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GBiL: A hybrid gated recurrent units (GRU) and bidirectional long short-term memory (BiLSTM) model with Particle Swarm Optimization for a Robust VANET IDS by G. Shobana, A. Thillai Nathan, Dhev Sabharish Sivakumar, R. Arockia Xavier Annie

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Analysis and Prediction of Coverage and Channel Rank for UAV Networks in Rural Scenarios With Foliage by Donggu Lee, Ozgur Ozdemir, Ram Asokan, Ismail Guvenc

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EEG-based functional and effective connectivity patterns during emotional episodes using graph theoretical analysis by Majid Roshanaei, Hamzeh Norouzi, Julie Onton, Scott Makeig, Alireza Mohammadi

“…These findings enhance our understanding of emotional processing and have practical applications in mental health, biomarker identification, and human-computer interaction.…”
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Smart Organization of Imbalanced Traffic Datasets for Long-Term Traffic Forecasting by Mustafa M. Kara, H. Irem Turkmen, M. Amac Guvensan

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The Volume-Based Pollution-Routing Problem with Time Windows: A Case Study by Bilal Bencharif, Mohamed Amine Beghoura, Emrah Demir

“…Computational experiments reveal a significant difference of over 20% between fixed and variable speed assumptions. …”
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Power Management Controller for Microgrid Integration of Hybrid PV/Fuel Cell System Based on Artificial Deep Neural Network by Abdulbaset Abdulhamed Mohamed Nureddin, Javad Rahebi, Adel Ab-BelKhair

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Leveraging Neural Trojan Side-Channels for Output Exfiltration by Vincent Meyers, Michael Hefenbrock, Dennis Gnad, Mehdi Tahoori

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Graph Learning-Based Power System Health Assessment Model by Koji Yamashita, Nanpeng Yu, Evangelos Farantatos, Lin Zhu

“…The proposed machine learning models accurately predict frequency and angle stability indicators, essential for evaluating grid health considering various contingencies, even when dealing with limited PMU deployment in transmission grids. …”
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A Few‐Shot Learning Approach for a Multilingual Agro‐Information Question Answering System by Fiskani Ella Banda, Vukosi Marivate, Joyce Nakatumba‐Nabende

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Urdu Lip Reading Systems for Digits in Controlled and Uncontrolled Environment by Amanullah Baloch, Mushtaq Ali, Lal Hussain, Touseef Sadiq, Badr S. Alkahtani

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Cardiovascular Disease Detection through Innovative Imbalanced Learning and AUC Optimization by Karthikeyan Palanisamy, Krishnaveni Krishnasamy, Praba Venkadasamy

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Discovering User Sentiment Patterns in Libraries with a Hybrid Machine Learning and Lexicon-Based Approach by Dini Nurmalasari, Dini Hidayatul Qudsi, Nessa Chairani, Heri R Yuliantoro

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Organic Multibit Phototransistor Memories with High External Quantum Efficiency by Shaoling Bai, Katherina Haase, Mike Hambsch, Stefan C. B. Mannsfeld

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Bounded Model Checking of Dense-Timed Deontic Interpreted Systems: A Satisfiability Modulo Theories Approach by Bożena Woźna-Szcześniak, Ireneusz Szcześniak, Ireneusz Olszewski

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Optimizing learning outcomes: a deep dive into hybrid AI models for adaptive educational feedback by Hafiz Muhammad Qadir, M. Taseer Suleman, Rafaqat Alam Khan, Muhammad Sohaib, Md Junayed Hasan, Syed Abid Hussain

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Performance Analysis: Discovering Semi-Markov Models From Event Logs by Anna Kalenkova, Lewis Mitchell, Matthew Roughan

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GNNMutation: a heterogeneous graph-based framework for cancer detection by Nuriye Özlem Özcan Şimşek, Arzucan Özgür, Fikret Gürgen

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MNeuralTab: Integrating meta-modeling and neural networks for customer churn prediction in e-commerce by Arif Mohammad Asfe, Md. Rashadur Rahman, Md. Sabir Hossain

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A novel approach for the detection of brain tumor and its classification via end-to-end vision transformer - CNN architecture by K. Chandraprabha, L. Ganesan, K. Baskaran

“…The models performance is evaluated according to various criteria, such as sensitivity, precision, recall, and specificity. …”
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