Biomarker Investigation Using Multiple Brain Measures from MRI Through Explainable Artificial Intelligence in Alzheimer’s Disease Classification by Davide Coluzzi, Valentina Bordin, Massimo W. Rivolta, Igor Fortel, Liang Zhan, Alex Leow, Giuseppe Baselli

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Bayesian-Optimized Multi-Task Gaussian Process Regression With Composite Kernels for Soybean Oil Futures Forecasting by Hui-Dong Yin, Yi-Yang Li

“…Results confirm the model’s capacity to disentangle complex market patterns while maintaining computational tractability. This work advances agricultural price forecasting by bridging theoretical Bayesian methods with practical trading applications, offering policymakers and market participants a robust tool for hedging and supply chain optimization.…”
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Early detection of Alzheimer’s disease in structural and functional MRI by Rudrani Maity, Vellupillai Mariappan Raja Sankari, Umapathy Snekhalatha, Umapathy Snekhalatha, Shubashini Velu, Tahani Jaser Alahmadi, Zaid Ali Alhababi, Hend Khalid Alkahtani

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An attention based hybrid approach using CNN and BiLSTM for improved skin lesion classification by Ayesha Shaik, Shivanya Shomir Dutta, Ishaan Milind Sawant, Shreyas Kumar, Ananthakrishnan Balasundaram, Kanjar De

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Unmanned aerial vehicle based multi-person detection via deep neural network models by Mohammed Alshehri, Laiba Zahoor, Yahya AlQahtani, Abdulmonem Alshahrani, Dina Abdulaziz AlHammadi, Ahmad Jalal, Ahmad Jalal, Hui Liu, Hui Liu, Hui Liu

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Use of a convolutional neural network for direct detection of acid-fast bacilli from clinical specimens by Paul English, Muir J. Morrison, Blaine Mathison, Elizabeth Enrico, Ryan Shean, Brendan O'Fallon, Deven Rupp, Katie Knight, Alexandra Rangel, Jeffrey Gilivary, Amanda Vance, Haleina Hatch, Leo Lin, David P. Ng, Salika M. Shakir

“…While the model’s current performance requires further improvement to be clinically useful in our lab, we detail our approach and share our expertly annotated data set to support future advancements in this area. By building on our work, researchers can develop better algorithms to improve the diagnosis of AFB, reducing the burden on laboratory staff and improving diagnostic speed and accuracy of these medically important organisms.…”
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Optimizing Group Multi-Factor Authentication for Secure and Efficient IoT Device Communications by Salem AlJanah, Ning Zhang, Siok Wah Tay

“…The communication and computation overheads of the protocols are also analyzed and compared with those of IoT group authentication solutions and Kerberos. …”
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System for the Acquisition and Analysis of Maintenance Data of Railway Traffic Control Devices by Mieczysław Kornaszewski, Waldemar Nowakowski, Roman Pniewski

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A Unified Machine Learning Framework for Li-Ion Battery State Estimation and Prediction by Afroditi Fouka, Alexandros Bousdekis, Katerina Lepenioti, Gregoris Mentzas

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A review of deep-learning-based models for afaan oromo fake news detection on social media networks by Kedir Lemma Arega, Kula Kekeba Tune, Asrat Mulatu Beyene, Wegderes Tariku, Nurhussen Menza Bune

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Enhanced Lightweight Quantum Key Distribution Protocol for Improved Efficiency and Security by Ashutosh Bhatia, Sainath Bitragunta, Kamlesh Tiwari

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Technostress and its associated factors: Burnout and fatigue among Malaysian healthcare workers (HCWs) in state hospitals. by Nor Asiah Muhamad, Nur Hasnah Ma'amor, Nurul Hidayah Jamalluddin, Izzah Athirah Rosli, Fatin Norhasny Leman, Tengku Puteri Nadiah Tengku Baharudin Shah, Nurul Syazwani Misnan, Norni Abdullah, Mohammad Zabri Johari, Norliza Chemi, Norashikin Ibrahim, Member of Technostress Study

“…Technostress has become more common after the COVID-19 pandemic in 2020 drastically altered working conditions and made remote work using information and communication technologies (ICT) a necessity rather than a luxury. …”
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The YouGovern Secure Blockchain-Based Self-Sovereign Identity (SSI) Management and Access Control by Nikos Papatheodorou, George Hatzivasilis, Nikos Papadakis

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Encoding local label correlations in multi-instance multi-label learning with an improved multi-objective particle swarm optimization by Xiang Bao, Fei Han, Qinghua Ling

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Hidden social and emotional competencies in autism spectrum disorders captured through the digital lens by Elizabeth B. Torres, Elizabeth B. Torres, Elizabeth B. Torres, Joe Vero, Neel Drain, Richa Rai, Theodoros Bermperidis

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A novel machine learning architecture to improve classification of intermediate cases in health: workflow and case study for public health by Bassel Hammoud, Aline Semaan, Lenka Benova, Imad H. Elhajj

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A Comprehensive Survey of Super-Resolution Remote Sensing Image Datasets: Evolution, Challenges, and Future Directions by Anh Vu-Duc, Khang Nguyen-Vi, Bao Bui-Quoc, Nidal Kamel

“…Despite significant progress in SR algorithms—particularly those driven by deep learning—the supporting datasets have received comparatively little attention. …”
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SMART Based Multi-Point Matching Assisted Approximation of Renewable Interconnected Power System by Umesh Kumar Yadav, V. P. Singh, Luigi Fortuna, Umesh Kumar Sahu

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Using Chemical Precipitation to Recover Struvite from Household Wastewater for Agricultural Fertilizer Utilization by Reya Issac, Muthukumar Lakshmi Prabha, Robinson Emilin Renitta, Sevanan Murugan, Jincy Ann George, Theena Jemima Jebaseeli, Subramanium Vijayanand

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Conical Double-Core Structure LP_mn Mode Converter by Chuan Ma, Dongya Shen, Xiupu Zhang

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