RACH Traffic Prediction in Massive Machine Type Communications by Hossein Mehri, Hani Mehrpouyan, Hao Chen

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Multi-objective optimization of HESS control for optimal frequency regulation in a power system with RE penetration by Ousama M.T. Ajami, Rodney H.G. Tan, Mithulan Nadarajah, Farah Adilah Jamaludin, Adlan Bagus Pradana

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Deepfake Detection Using Spatio-Temporal-Structural Anomaly Learning and Fuzzy System-Based Decision Fusion by Brindha Subburaj, R. Ragavendra

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Intrusion Detection in IoT and IIoT: Comparing Lightweight Machine Learning Techniques Using TON_IoT, WUSTL-IIOT-2021, and EdgeIIoTset Datasets by Shereen Ismail, Salah Dandan, Ala'a Qushou

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NoctuDroneNet: Real-Time Semantic Segmentation of Nighttime UAV Imagery in Complex Environments by Ruokun Qu, Jintao Tan, Yelu Liu, Chenglong Li, Hui Jiang

“…Nighttime semantic segmentation represents a challenging frontier in computer vision, made particularly difficult by severe low-light conditions, pronounced noise, and complex illumination patterns. …”
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Improved gray wolf harris hawk algorithm based feature selection for sentiment analysis by Tamara Amjad Al-Qablan, Mohd Halim Mohd Noor, Mohammed Azmi Al-Betar, Ahamad Tajudin Khader

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The Lightning Protection Assessment of Distribution Lines with Considering Frequency Grounding System by Aida Gholami, Masume Khodsuz, Valiollah Mashayekhi

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Transfer Learning-Based Ensemble of CNNs and Vision Transformers for Accurate Melanoma Diagnosis and Image Retrieval by Murat Sarıateş, Erdal Özbay

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Harmony Search Based Parameter Ensemble Adaptation for Differential Evolution by Rammohan Mallipeddi

“…In differential evolution (DE) algorithm, depending on the characteristics of the problem at hand and the available computational resources, different strategies combined with a different set of parameters may be effective. …”
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Screw pull-out force predictions in porcine radii using efficient nonlinear µFE models including contact and pre-damage by Pia Stefanek, J. D. Silva-Henao, J. D. Silva-Henao, Victoria Fiedler, A. G. Reisinger, A. G. Reisinger, Dieter H. Pahr, Alexander Synek

“…However, the detailed representation of bone microstructure, along with the inclusion of nonlinear material and contact, and pre-damage due to pre-drilling and screw-insertion, constitute significant computational demands and restrict model sizes. The goal of this study was to evaluate the agreement of screw pull-out predictions of computationally efficient, materially nonlinear µFE models with experimental measurements, taking both contact interface and pre-damage into account in a simplified way. …”
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In Silico Assessment of the Influence of Talus Osteochondral Lesion Size and Location on Ankle Joint Stability using Tilted Talar Dome Plane Orientations by Lercan Aslan MD, Omer Subasi PhD, Bedri Karaismailoglu MD, FEBOT, Cihad C. Gedik, Batuhan Yuruk, Soheil Ashkani-Esfahani MD, Ilker Eren

“…In this study, talus OLTs with different areas and locations are modeled to biomechanically evaluate the ankle joint stability. Our study aims to evaluate the stress distribution and joint stiffness effect of OLTs on all the 9-cell partition zones of the talar dome in three different ankle positions during gait. …”
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Sequential motor task (Luria's Fist-Edge-Palm Test) in children with benign focal epilepsy of childhood with centrotemporal spikes Tarefa motora sequencial (Teste de Lúria punho-la... by Carmen Silvia Molleis Galego Miziara, Maria Luiza Giraldes de Manreza, Letícia Mansur, Umbertina Conti Reed, Carlos Alberto Buchpiguel

“…The children with BECTS underwent interictal single photon emission computed tomography (SPECT) and School Performance Test (SPT). …”
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Harnessing deep learning to detect bronchiolitis obliterans syndrome from chest CT by Mateusz Koziński, Doruk Oner, Jakub Gwizdała, Catherine Beigelman-Aubry, Pascal Fua, Angela Koutsokera, Alessio Casutt, Argyro Vraka, Michele De Palma, John-David Aubert, Horst Bischof, Christophe von Garnier, Sahand Jamal Rahi, Martin Urschler, Nahal Mansouri

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Epigenetic age acceleration is associated with occupational exposures, sex, and survival in amyotrophic lateral sclerosisResearch in context by Yue Zhao, Xiayan Li, Kai Wang, Gayatri Iyer, Stacey A. Sakowski, Lili Zhao, Samuel Teener, Kelly M. Bakulski, John F. Dou, Bryan J. Traynor, Alla Karnovsky, Stuart A. Batterman, Eva L. Feldman, Maureen A. Sartor, Stephen A. Goutman

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Genetic Links Between Common Lung Diseases and Lung Cancer Progression: Bioinformatics and Machine Learning Insights by Md Ali Hossain, Tania Akter Asa, Md. Zulfiker Mahmud, AKM Azad, Mohammad Zahidur Rahman, Mohammad Ali Moni, Ahmed Moustafa

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WHA-Net: A Low-Complexity Hybrid Model for Accurate Pseudopapilledema Classification in Fundus Images by Junpeng Pei, Yousong Wang, Mingliang Ge, Jun Li, Yixing Li, Wei Wang, Xiaohong Zhou

“…This research provides a clinically valuable solution for the automated differential diagnosis of pseudopapilledema, with both computational efficiency and diagnostic reliability.…”
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Fine Recognition of MEO SAR Ship Targets Based on a Multi-Level Focusing-Classification Strategy by Zhaohong Li, Wei Yang, Can Su, Hongcheng Zeng, Yamin Wang, Jiayi Guo, Huaping Xu

“…However, due to the huge computational load required for imaging processing and the severe defocusing caused by ship motions, traditional ship recognition conducted in focused image domains cannot process MEO SAR data efficiently. …”
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Efficient, Robust, and Accurate CNN Predictor for Neuronal Activation in Directional Deep Brain Stimulation by Shunjing Wang, Ru Ma, Qunran Yuan, Hongda Li, Changqing Jiang

“…Additionally, the CNN reduced computation time by five orders of magnitude compared to standard axonal modeling methods. …”
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Constraint-aware wind power forecasting with an optimized hybrid machine learning model by Md. Omer Faruque, Md. Alamgir Hossain, S.M. Mahfuz Alam, Muhammad Khalid

“…The proposed GAMO outperformed these methods in computational efficiency, reducing computation time by 74.20% compared to BOP and 90.91% compared to PSO. …”
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A Finite Element Approach to the Upper-Bound Bearing Capacity of Shallow Foundations Using Zero-Thickness Interfaces by Yu-Lin Lee, Yu-Tang Huang, Chi-Min Lee, Tseng-Hsing Hsu, Ming-Long Zhu

“…This study presents a robust numerical framework for evaluating the upper-bound ultimate bearing capacity of shallow foundations in cohesive and C-phi soils using a self-developed finite element method. …”
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