GaitRGA: Gait Recognition Based on Relation-Aware Global Attention by Jinhang Liu, Yunfan Ke, Ting Zhou, Yan Qiu, Chunzhi Wang

“…Specifically, we introduce a Relational-aware Global Attention (RGA) module, which captures global structural information within gait sequences to enable more precise attention learning. Unlike traditional gait recognition methods that rely solely on local convolutions, we stack pairwise associations between each feature position in the gait silhouette and all other feature positions, along with the features themselves, using a shallow convolutional model to learn attention. …”
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A hybrid particle swarm optimization algorithm for solving engineering problem by Jinwei Qiao, Guangyuan Wang, Zhi Yang, Xiaochuan Luo, Jun Chen, Kan Li, Pengbo Liu

“…Abstract To overcome the disadvantages of premature convergence and easy trapping into local optimum solutions, this paper proposes an improved particle swarm optimization algorithm (named NDWPSO algorithm) based on multiple hybrid strategies. Firstly, the elite opposition-based learning method is utilized to initialize the particle position matrix. …”
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Design and Implementation of a Deep Learning-Based Hand Gesture Recognition System for Rehabilitation Internet-of-Things (RIoT) Environments Using MediaPipe by Nurul Hanis Mohd Dhuzuki, Ahmad Anwar Zainuddin, Nur Anis Sofea Kamarul Zaman, Alin Nur Maisarah Ahmad Razmi, Wonderful Shammah Kaitane, Asmarani Ahmad Puzi, Mohd Naqiuddin Johar, Maslina Yazid, Nor Azlin Mohd Nordin, Shahrul Naim Sidek, Hasan Firdaus Mohd Zaki

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Continuance Intention to Use AI Chatbots in Libraries: Mediation Based on Emotional Experience by Haiting MA, Chuansheng CHENG

“…[Method/Process] Based on U&G theory and the SOR framework, we developed a conceptual model of library AI chatbot users's willingness to continue using the chatbot. …”
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An Approach for Breast Cancer X-Ray Images Classification Based on Vision Transformer by Huong Hoang Luong, Kiet Tuan Pham, Dat Thanh Le, Danh Le Pham Thanh, Long Le Hoang Hai, Hoang Nhat Nguyen, Nguyen Thai-Nghe, Hai Thanh Nguyen

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PR-CLIP: Cross-Modal Positional Reconstruction for Remote Sensing Image–Text Retrieval by Jihong Guan, Yulou Shu, Wengen Li, Zihan Song, Yichao Zhang

“…To address this issue, we propose a novel cross-modal retrieval model named PR-CLIP, which leverages a cross-modal positional information reconstruction task to learn position-aware correlations between modalities. …”
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Structural Damage Detection Using an Unmanned Aerial Vehicle-Based 3D Model and Deep Learning on a Reinforced Concrete Arch Bridge by Mary C. Alfaro, Rodrigo S. Vidal, Rick M. Delgadillo, Luis Moya, Joan R. Casas

“…An 88.4% accuracy was achieved in crack detection, identifying 18 damage points, of which 3 turned out to be false positives. Additionally, it was determined that the left pillar in the southern area of the bridge presented the highest concentration of damage, which underlines the effectiveness of the method used.…”
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TSMixer- and Transfer Learning-Based Highly Reliable Prediction with Short-Term Time Series Data in Small-Scale Solar Power Generation Systems by Younjeong Lee, Jongpil Jeong

“…We present a transfer learning-based prediction system design that can maintain high prediction performance even in data-poor environments. …”
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Hybrid IoT-CAD system: optimized feature selection based gated recurrent residual deep learning for cyber attack detection in IoT networks by Susheela Vishnoi, Sunil Kumar, Saikat Samanta

“…In this work, a novel approach is introduced that combines deep learning (DL) and machine learning (ML) to improve cyber-attack detection in IoT networks, which solves cybersecurity issues. …”
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Machine learning based multi-stage intrusion detection system and feature selection ensemble security in cloud assisted vehicular ad hoc networks by C. Christy, A. Nirmala, A. Mary Odilya Teena, A. Isabella Amali

“…Solving these issues will require an advanced Intrusion Detection System (IDS) with real-time threat recognition and neutralization capabilities. A new method for improving VANET security, a multi-stage Lightweight IntrusionDetection System Using Random Forest Algorithms (MLIDS-RFA), focuses on feature selection and ensemble models based on machine learning (ML). …”
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High-performance machine-learning-based calibration of low-cost nitrogen dioxide sensor using environmental parameter differentials and global data scaling by Slawomir Koziel, Anna Pietrenko-Dabrowska, Marek Wojcikowski, Bogdan Pankiewicz

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An explainable web application based on machine learning for predicting fragility fracture in people living with HIV: data from Beijing Ditan Hospital, China by Bo Liu, Bo Liu, Qiang Zhang, Qiang Zhang, Xin Li, Xin Li

“…PurposeThis study aimed to develop and validate a novel web-based calculator using machine learning algorithms to predict fragility fracture risk in People living with HIV (PLWH), who face increased morbidity and mortality from such fractures.MethodWe retrospectively analyzed clinical data from Beijing Ditan Hospital orthopedic department between 2015 and September 2023. …”
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Revisiting Abnormalities of Ventricular Depolarization: Redefining Phenotypes and Associated Outcomes Using Tree‐Based Dimensionality Reduction by Mehak Gurnani, Konstantinos Patlatzoglou, Joseph Barker, Derek Bivona, Libor Pastika, Ewa Sieliwonczyk, Boroumand Zeidaabadi, Paolo Inglese, Lara Curran, Ahran D. Arnold, Declan O'Regan, Zachary Whinnett, Kenneth C. Bilchick, Nicholas S. Peters, Daniel B. Kramer, Jonathan W. Waks, Arunashis Sau, Fu Siong Ng

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Non-formal Science Education: Moving Towards More Inclusive Pedagogies for Diverse Classrooms by Genco Guralp, Martin McHugh, Sarah Hayes

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Facing depression: evaluating the efficacy of the EmpkinS-EKSpression reappraisal training augmented with facial expressions – protocol of a randomized controlled trial by Marie Keinert, Lena Schindler-Gmelch, Lydia Helene Rupp, Misha Sadeghi, Klara Capito, Malin Hager, Farnaz Rahimi, Robert Richer, Bernhard Egger, Bjoern M. Eskofier, Matthias Berking

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Usability Evaluation of a Digital Teleradiology Case Study Using the System Usability Scale in the WFDT Project by Anna BOEHM, Thomas LUX

“…The teleradiology content is presented through case studies oriented towards case-based learning. Aim: The objective of usability testing is to identify potential areas for improvement and ensure these are incorporated into subsequent development and quality assurance processes. …”
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Leveraging an Arts-Based Approach to Foster Engagement, Nurture Kindness, and Prevent Violence by Yok-Fong Paat, Diego Garcia Tovar, Nathan W. Myers, Max C. E. Orezzoli, Anne M. Giangiulio, Sarah L. Ruiz, Angela V. Dorado, Luis R. Torres-Hostos

“…Drawing from the insights of community partners, this study explored the roles and benefits of arts-based approaches to foster civic learning, critical media literacy, and community engagement. …”
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A Texture-Enhanced Deep Learning Network for Cloud Detection of GaoFen/WFV by Integrating an Object-Oriented Dynamic Threshold Labeling Method and Texture-Feature-Enhanced Attentio... by Bo Zhong, Xiao Tang, Xiaobo Luo, Shanlong Wu, Kai Ao

“…Additionally, the efficiency of collecting training samples for prevalent deep learning-based methods heavily relies on large-scale pixel-level annotations, which are both time-consuming and labor-intensive. …”
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Improving Critical Thinking Abilities on HOTs Questions through PJBL Model for Students of Elementary School Teacher Education by Putri Nuraini Sari, Wuri Wuryandani, Rahayu Condro Murti

“…Based on the research results, the two studies increased critical thinking skills by 66.66% pre-action and 16.66% post-action, increasing to 85.3% in the method Project Based Learning. …”
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Evaluating INSTALL as an instructional model to enhance EFL pre-service teachers’ TPACK: a case of three Indonesian universities by Maulana Mualim, Margana Margana, Agus Widyantoro, Hoang Huu Nguyen, Khristianto Khristianto, Faisal Faisal, Nisa Roiyasa

“…PurposeThis study investigates the effects of an instructional model incorporating inquiry-based, technology saturated, and flipped learning (INSTALL) on EFL pre-service teachers’ TPACK in Indonesia and finds out their responses about it.Design/approach/methodThis is an explanatory mixed method research where quantitative data were further explained by qualitative data. …”
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