Hybridization of the Snake Optimizer and Particle Swarm Optimization for continuous optimization problems by Abdülkadir Pektaş, Mehmet Hacıbeyoğlu, Onur İnan

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A Review on Sub-0.21-V Ultra-Low-Supply-Voltage Analog-to-Digital Converters by Eric Christie, Jared Marchant, Shea Smith, Long Kong, Chia-Hung Chen, Shiuh-Hua Wood Chiang

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A Preference Model-Based Surrogate-Assisted Constrained Multi-Objective Evolutionary Algorithm for Expensively Constrained Multi-Objective Problems by Yu Sun, Yifan Ma, Bei Hua

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Matrix Pencil for RFID Collision Recovery by Hamed Salah, Reza Hassanpour, Georgi Gaydadjiev

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A Biologically Inspired Program-Level Imitation Approach for Robots by Pourya Aliasghari, Moojan Ghafurian, Chrystopher L. Nehaniv, Kerstin Dautenhahn

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NeuroFuzDetect–A Neural and Fuzzy Inference System for Fake News Classification by Borra Vineetha, Munirathinam Nirmala

“…NeuroFuzDetect leverages advanced computational reasoning to analyze uncertainty and ambiguity in textual data by evaluating critical linguistic features, including credibility, emotional tone, and language patterns, ensuring interpretability by providing justifications for its predictions. …”
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Intrusion Detection and Real-Time Adaptive Security in Medical IoT Using a Cyber-Physical System Design by Faeiz Alserhani

“…ML-CCPS is capable of outperforming benchmark classifiers with an acceptable computational cost, as evidenced by its macro F1-score of 97.8% and an AUC of 99.1% when evaluated with the ToN-IoT dataset. …”
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Enhancing lung disease diagnosis with deep-learning-based CT scan image segmentation by Rima Tri Wahyuningrum, Achmad Bauravindah, Indah Agustien Siradjuddin, Budi Dwi Satoto, Amillia Kartika Sari, Anggraini Dwi Sensusiati

“…The criteria used to evaluate model performance included the Dice coefficient and IoU metrics, most efficient computational time, and minimal resource requirements (measured by trainable parameters). …”
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CriSALAD: Robust Visual Place Recognition Using Cross-Image Information and Optimal Transport Aggregation by Jinyi Xu, Yuhang Ming, Minyang Xu, Yaqi Fan, Yuan Zhang, Wanzeng Kong

“…Specifically, we adapt pre-trained VFMs for VPR by incorporating a parameter-efficient adapter inspired by Xception, ensuring effective task adaptation while preserving computational efficiency. Additionally, we employ the Sinkhorn Algorithm for Locally Aggregated Descriptors (SALAD) as a global descriptor to enhance place recognition accuracy. …”
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MTGNet: Multi-Agent End-to-End Motion Trajectory Prediction with Multimodal Panoramic Dynamic Graph by Yinfei Dai, Yuantong Zhang, Xiuzhen Zhou, Qi Wang, Xiao Song, Shaoqiang Wang

“…Efficiently and accurately predicting the future trajectories of multiple agents is key to evaluating the reliability and safety of autonomous driving vehicles. …”
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Performance Testing and Analysis of a New GNSS Spoofing Detection Method in Different Spoofing Scenarios by Li Junzhi, Wu Haitao, Gao Jinfeng, Liu Fang, Zhang Yu, Li Gangqiang, He Yu

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Predicting Diabetes Risk Using Machine Learning: A Comparative Study on the Yazd Health Study (YaHS) by Fateme Sefid, Nazanin Norouzi-Ghahjavarestani, Malihe Soleymani-Tabasi, Jamal Zarepour-Ahmadabadi, Ghasem Azamirad, Mohamah yahya Vahidi Mehrjardi, Masoud Mirzaei, Seyed Mehdi Kalantar

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A Multiconstrained QoS Aware MAC Protocol for Cluster-Based Cognitive Radio Sensor Networks by Mir Mehedi Ahsan Pritom, Sujan Sarker, Md. Abdur Razzaque, Mohammad Mehedi Hassan, M. Anwar Hossain, Abdulhameed Alelaiwi

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A construction method of a multidimensional and multilingual association network for earth surface system science data by Qinjun Qiu, Mengqi Hao, Liufeng Tao, Jiandong Liu, Weijie Li, Yang Wang, Zhong Xie

“…The method quantitatively computes one-dimensional and multidimensional similarities using five primary indicators of multilingual data, enabling semantic interconnection and facilitating knowledge discovery within open scientific data related to the Earth surface system. …”
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Alignment-free viral sequence classification at scale by Daniel J. van Zyl, Marcel Dunaiski, Houriiyah Tegally, Cheryl Baxter, Tulio de Oliveira, Joicymara S. Xavier, The INFORM Africa research study group

“…Abstract Background The rapid increase in nucleotide sequence data generated by next-generation sequencing (NGS) technologies demands efficient computational tools for sequence comparison. Alignment-free (AF) methods offer a scalable alternative to traditional alignment-based approaches such as BLAST. …”
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Towards precision agriculture: metaheuristic model compression for enhanced pest recognition by Sana Parez, Norah Saleh Alghamdi, Tahir Mahmood, Waseem Ullah, Muhammad Attique Khan, Taha Houda, Naqqash Dilshad

“…The proposed model was rigorously evaluated on the CropDP-181 dataset, outperforming several state-of-the-art methods in both classification accuracy and computational efficiency. …”
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Drug repurposing for Alzheimer’s disease using a graph-of-thoughts based large language model to infer drug-disease relationships in a comprehensive knowledge graph by Zhiping Paul Wang, Xi Li, Nicholas Matsumoto, Mythreye Venkatesan, Jui-Hsuan Chang, Jay Moran, Hyunjun Choi, Binglan Li, Yufei Meng, Miguel E. Hernandez, Jason H. Moore

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Data Transfer Schemes in Rotorcraft Fluid-Structure Interaction Predictions by Young H. You, Deokhwan Na, Sung N. Jung

“…For a CFD (computation fluid dynamics)/CSD (computational structural dynamics) coupling, appropriate data exchange strategy is required for the successful operation of the coupling computation, due to fundamental differences between CFD and CSD analyses. …”
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Practical Comparison Between the CI/CD Platforms Azure DevOps and GitHub by Vladislav Manolov, Daniela Gotseva, Nikolay Hinov

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Discover your potential: The influence of kinematics on a muscle's ability to contribute to the sit-to-stand transfer. by Sarah A Roelker, Laura C Schmitt, Ajit M W Chaudhari, Robert A Siston

“…The new method required 4-10s to compute muscle potentials per kinematic state and computed potentials were consistent with simulated potentials. …”
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