Investigating the Switching Dynamics of Antiferroelectric Capacitor Using Multidomain Phase-Field Approach by Muhammad Mainul Islam, Mohammad Adnaan, Sou-Chi Chang, Hai Li, Ian A. Young, Azad Naeemi

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Effective Solution of University Course Timetabling using Particle Swarm Optimizer based Hyper Heuristic approach by Zahid Iqbal, Rafia Ilyas, Huah Yong Chan, Naveed Ahmed

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Knowledge Graph Completion With Pattern-Based Methods by Maryam Sabet, Mohammadreza Pajoohan, Mohammad Reza Moosavi

“…We conducted experiments on the link prediction task and evaluated the training time on two benchmark datasets, WordNet and Freebase. …”
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DFL topology optimization based on peer weighting mechanism and graph neural network in digital twin platform by Nguyen Anh Tuan, Atif Rizwan, Sa Jim Soe Moe, Anam Nawaz Khan, Do Hyeun Kim

“…Additionally, comparative evaluations under IID and Non-IID data distributions substantiate the robustness and adaptability of the approach in heterogeneous learning environments, underscoring its potential to advance decentralized learning paradigms.…”
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Novel GSIP: GAN-based sperm-inspired pixel imputation for robust energy image reconstruction by Gamal M. Mahmoud, Wael Said, Magdy M. Fadel, Mostafa Elbaz

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Driver drowsiness shield (DDSH): a real-time driver drowsiness detection system by Archita Bhanja, Dibyajyoti Parhi, Dipankar Gajendra, Kreetish Sinha, Arup Kumar Sahoo

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Detection of AI-Generated Texts: A Bi-LSTM and Attention-Based Approach by John Blake, Abu Saleh Musa Miah, Krzysztof Kredens, Jungpil Shin

“…This combination is then fed into dense layers for final classification, effectively balancing feature richness and computational efficiency. The proposed model was evaluated on two benchmark datasets, achieving 85.00% and 88.00% accuracy, respectively.…”
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Enhancing Engineering and STEM Education With Vision and Multimodal Large Language Models to Predict Student Attention by Luis Marquez-Carpintero, Diego Viejo, Miguel Cazorla

“…However, widespread adoption is hindered by significant barriers such as high computational demands and the limited availability of high-quality datasets. …”
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A Comprehensive Methodological Survey of Human Activity Recognition Across Diverse Data Modalities by Jungpil Shin, Najmul Hassan, Abu Saleh Musa Miah, Satoshi Nishimura

“…Human Activity Recognition (HAR) systems aim to understand human behavior and assign a label to each action, attracting significant attention in computer vision due to their wide range of applications. …”
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A Predictive Approach for Enhancing Accuracy in Remote Robotic Surgery Using Informer Model by Muhammad Hanif Lashari, Shakil Ahmed, Wafa Batayneh, Ashfaq Khokhar

“…The method is evaluated using the JIGSAWS dataset, achieving a prediction accuracy of over 90% under various network scenarios. …”
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Image region semantic enhancement and symmetric semantic completion for text-to-image person search by Ting Tuo, Lijun Guo, Rong Zhang, Yirui Wang, Jiangbo Qian, Shangce Gao

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Generative adversarial DacFormer network for MRI brain tumor segmentation by Muqing Zhang, Qiule Sun, Yutong Han, Mingli Zhang, Wei Wang, Jianxin Zhang

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Hyperbolic multi-channel hypergraph convolutional neural network based on multilayer hypergraph by Libing Bai, Feng Hu, Chunyang Tang, Zhangyu Mei, Chuang Liu

“…Abstract In recent years, hypergraph neural networks have achieved remarkable success in tasks such as node classification, link prediction, and graph classification, thanks to their powerful computational capabilities. However, most existing hypergraph neural networks are restricted to singlelayer hypergraph, making it challenging to effectively capture the intricate intra-layer higher-order relationships and inter-layer interactions in multilayer hypergraph. …”
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DepthRL: a weakly supervised approach for monocular depth estimation using deep reinforcement learning by Han Chen, Yongxiong Wang, Jiayi Zhang, Jiapeng Zhang, Zhiqun Pan, Shuwen Jia, Shuai Huang

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Multimodal Fall Detection Using Spatial–Temporal Attention and Bi-LSTM-Based Feature Fusion by Jungpil Shin, Abu Saleh Musa Miah, Rei Egawa, Najmul Hassan, Koki Hirooka, Yoichi Tomioka

“…However, existing unimodal systems that rely solely on skeleton or sensor data face challenges such as poor robustness, computational inefficiency, and sensitivity to environmental conditions. …”
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Ransomware Attacks in Cyber-Physical Systems: Countermeasure of Attack Vectors Through Automated Web Defenses by Muhammad Usman Rana, Munam Ali Shah, Mohammad Abdulaziz Al-Naeem, Carsten Maple

“…The resilience of a web browser to deal with the malware attack is of significance importance, however, evaluating the performance of a browser to tackle these attacks is a challenging task. …”
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Spatiotemporal Downscaling Model for Solar Irradiance Forecast Using Nearest-Neighbor Random Forest and Gaussian Process by Shadrack T. Asiedu, Abhilasha Suvedi, Zongjie Wang, Hossein Moradi Rekabdarkolaee, Timothy M. Hansen

“…Additionally, the computational speed of NNRF was 2.5 times faster than the NNGP. …”
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EmotionNet-X: An Optimized CNN Architecture for Robust Facial Emotion Analysis by Syed Muhammad Aqleem Abbas, Qaisar Abbas, Syed Muhammad Naqi

“…Facial emotions are expressions of people’s inner feelings. A computer’s ability to recognize emotions is known as emotion recognition (ER), which involves extracting facial characteristics or expressions from a person’s face in order to enable the computer to communicate emotionally with them. …”
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3D reconstruction from 2D multi-view dental 2D images based on EfficientNetB0 model by Waleed Mohamed, Nermeen Nader, Yasmin M. Alsakar, Naira Elazab, Mohamed Ezzat, Mohammed Elmogy

“…Applying three-dimensional (3D) reconstruction from two-dimensional (2D) dental images, such as X-rays, is a potential development field. 3D reconstruction technology converts real-world goals into mathematical models that are compatible with computer logic expressions. It’s been commonly used in dentistry. …”
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On a zonal polynomial integral by A. K. Gupta, D. G. Kabe

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