Timeseries Fault Classification in Power Transmission Lines by Non-Intrusive Feature Extraction and Selection Using Supervised Machine Learning by Rab Nawaz, Hani A. Albalawi, Syed Basit Ali Bukhari, Khawaja Khalid Mehmood, Muhammad Sajid

“…A new strategy for non-intensive feature extraction is applied using relatively simpler techniques, eliminating computationally expensive techniques such as wavelets. …”
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Design Approach Based on EtherCAT Protocol for a Networked Motion Control System by Lei Wang, Muguo Li, Junyan Qi, Qun Zhang

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Application of the HIDRA2 deep-learning model for sea level forecasting along the Estonian coast of the Baltic Sea by A. Barzandeh, M. Ličer, M. Ličer, M. Rus, M. Rus, M. Kristan, I. Maljutenko, J. Elken, P. Lagemaa, R. Uiboupin

“…As a complementary alternative, data-driven machine learning models provide a computationally efficient solution with comparable accuracy. …”
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Design optimization and generating characteristics of a linear arc PM vernier machine for wave energy conversion system by Urooj Jadoon, Faisal Khan, Salar Ahmad Khalil, Hatim Alwadie, Adoalateef Alzhrani

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Pelvic Floor Health and Urinary Incontinence in Female Soccer Players: A Comparative Analysis Between Professionals and Physically Active Women: A Cross-Sectional Descriptive Proto... by Julia M. Sebastian-Rico, María Jesús Muñoz-Fernández, Luis Manuel Martínez-Aranda, África Calvo-Lluch, Manuel Ortega-Becerra

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Intelligent forecasting model for aquatic production based on artificial neural network by Junqiao Hu, Jingyu Yin, Chaohui Yang, Yanxi Zhou, Changqing Li, Changqing Li

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Emo-SL Framework: Emoji Sentiment Lexicon Using Text-Based Features and Machine Learning for Sentiment Analysis by Manar Alfreihat, Omar Saad Almousa, Yahya Tashtoush, Anas AlSobeh, Khalid Mansour, Hazem Migdady

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ML-Driven Transistor Self-Heating Analysis From TCAD to Large IP Circuits by Simon Thomann, Nico Mayr, Albi Mema, Hussam Amrouch

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Autonomous slip control inspired by human physiology for improved shared control strategy by Joana Matos, Patricia Capsi-Morales, Cristina Piazza

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A Hybrid Machine Learning-Based Framework for Data Injection Attack Detection in Smart Grids Using PCA and Stacked Autoencoders by Shahid Tufail, Hasan Iqbal, Mohd Tariq, Arif I. Sarwat

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Performance-Oriented and Sustainability-Oriented Design of an Effective Android Malware Detector by Sana Qadir, Amna Naeem, Mehdi Hussain, Huma Ghafoor, Aisha Hassan Abdalla Hashim

“…The design of malware detectors should prioritise high detection rate, efficient use of computational resources, and sustainability. Keeping these design priorities in mind, we develop and empirically evaluate four different classifiers. …”
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Topology-Guided Graph Masked Autoencoder Learning for Population-Based Neurodevelopmental Disorder Diagnosis by Yueying Li, Xiaotong Zhang, Shihan Guan, Guolin Ma, Youyong Kong

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Neuro-VGNB: Transfer Learning-Based Approach for Detecting Brain Stroke by Muhammad Usama Tanveer, Kashif Munir, Bharati Rathore, Abdulatif Alabdulatif, Rutvij H. Jhaveri, Maham Fatima

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Quasi-Experimental Design for Medical Studies with the Method of the Fuzzy Pseudo-Control Group by Kiril Tenekedjiev, Daniela Panayotova, Mohamed Daboos, Snejana Ivanova, Mark Symes, Plamen Panayotov, Natalia Nikolova

“…</i> Quasi-experimental studies are designed to evaluate the effect of <i>R</i> over <i>X</i> when forming a randomized control group (without the intervention) is impractical or/and unethical. …”
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Development of Integrated Neural Network Model for Identification of Fake Reviews in E-Commerce Using Multidomain Datasets by Saleh Nagi Alsubari, Sachin N. Deshmukh, Mosleh Hmoud Al-Adhaileh, Fawaz Waselalla Alsaade, Theyazn H. H. Aldhyani

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A Novel Hybrid Quantum-Crypto Standard to Enhance Security and Resilience in 6G-Enabled IoT Networks by Kranthi Kumar Singamaneni, Anil Kumar Budati, Shayla Islam, Raenu A. L. Kolandaisamy, Ghulam Muhammad

“…The system achieves a total computational overhead of 11.7 ms for KP-ABE combined with NTRUEncrypt-SIDH, outperforming other cryptographic combinations. …”
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Cloud-based optimized deep learning framework for automated glaucoma detection using stationary wavelet transform and improved grey-wolf-optimization with ELM approach by Debendra Muduli, Syed Irfan Yaqoob, Santosh Kumar Sharma, Anuradha S. Kanade, Mohammad Shameem, Harendra S. Jangwan, P.M. Ashok Kumar, Abu Taha Zamani

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Performance of single-agent and multi-agent language models in Spanish language medical competency exams by Fernando R. Altermatt, Andres Neyem, Nicolas Sumonte, Marcelo Mendoza, Ignacio Villagran, Hector J. Lacassie

“…These findings suggest potential for LLMs as efficient and scalable tools in Spanish-speaking healthcare, though computational optimization remains a key area for future research.…”
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System-Level Analysis of LED Retrofit Solutions for T8 Fluorescent Tubes: Harmonic Emissions, Photometric Impacts, and Compliance Considerations by Themistoklis L. Athanasiadis, Eleni P. Nicolopoulou, Evangelos-Nikolaos D. Madias, Aikaterini D. Polykrati, Christos A. Christodoulou, Lambros T. Doulos, Ioannis F. Gonos

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Spatial biomarkers of response to eribulin plus pembrolizumab in patients with metastatic triple negative breast cancer in the ENHANCE-1 trial by Yee Hoon Foong, Qi Wang, Matthew Kearney, Hortense Le, Hua Guo, Diane Chen, Michelle Garlin Politis, Courtney F. Connelly, Kevin Kalinsky, Rami S. Vanguri, Eileen P. Connolly

“…Abstract ENHANCE-1 was a phase Ib/II study which evaluated eribulin plus pembrolizumab as a treatment for metastatic triple negative breast cancer (mTNBC). …”
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