Artificial Intelligence based Multi-sensor COVID-19 Screening Framework by Rakesh Chandra-Joshi, Malay Kishore-Dutta, Carlos M. Travieso

“…Instead of relying on one single method, artificial intelligence and multiple sensors based approaches can be used to decide the prediction of the health condition of the patient. …”
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A survival prediction network based on multi-scale hypergraph enhancement and cross-modal refinement by Chaofeng Yang, Yongjie Liang, Fan Qin, Yulong Cao, Peiyuan Wang, Jiaying Fan, Bizhong Wei

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Study on the effect of pulsed eddy current lift-off characteristics for feeding metallic foreign objects detection in coal mine crushers by Benchang Meng, Zezheng Zhuang, Jiahao Ma, Sihai Zhao

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A Continuous Space Path Planning Method for Unmanned Aerial Vehicle Based on Particle Swarm Optimization-Enhanced Deep Q-Network by Le Han, Hui Zhang, Nan An

“…Additionally, we introduce a novel feature matrix as the state space for DQN, providing more accurate environmental and positional representations. Furthermore, we incorporate a mechanism into the base prioritized experience replay (PER) and N-step updates, which combines the current temporal difference error (TD-error) with historical priorities and includes a policy entropy penalty term, thereby enhancing DQN’s ability to learn long-term dependencies. …”
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Accuracy of an articulated head-and-neck motion model using deep learning-based instance segmentation of skeletal bones in CT scans for image registration in radiotherapy by Alexandra Walter, Cornelius J. Bauer, Ama Katseena Yawson, Philipp Hoegen-Saßmannshausen, Sebastian Adeberg, Jürgen Debus, Oliver Jäkel, Martin Frank, Kristina Giske

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Innovative and Interactive Technologies in Creative Product Design Education: A Review by Ioanna Nazlidou, Nikolaos Efkolidis, Konstantinos Kakoulis, Panagiotis Kyratsis

“…These technologies are primarily integrated as supportive tools throughout different stages of the design process within learning environments. This study suggests that integrating such technologies alongside pedagogical methods positively impacts education, offering numerous opportunities for further research and innovation. …”
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Designing a Platform for Additional Subject Training of Schoolchildren Based on Professional Requests of Teachers by P. S. Lomasko, A. L. Simonova, D. A. Barkhatova, L. B. Khegay

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Indian SUMO traffic scenario-based misbehaviour detection dataset for connected vehicles by Umesh Bodkhe, Sudeep Tanwar

“…The proposed dataset includes cases of false data injections affecting the vehicle position, heading, and speed information within BSMs. …”
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A Novel Cross-Attention-Based Pedestrian Visual–Inertial Odometry With Analyses Demonstrating Challenges in Dense Optical Flow by Ilari Pajula, Niclas Joswig, Aiden Morrison, Nadia Sokolova, Laura Ruotsalainen

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A Deformation Field-Based Approach for Expression Processing in Head Motion Correction by Jiaqi Zhao, Jiaxu Zheng, Qun Chen

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Geo-Statistics and Deep Learning-Based Algorithm Design for Real-Time Bus Geo-Location and Arrival Time Estimation Features with Load Resiliency Capacity by Smail Tigani

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The Effect of Digital Literacy, Soft Skills, and Learning Motivation on Student Learning Achievement by Uli Aznikhah, Suci Fitriyani, Edy Hartono

“…Based on these results, it can be concluded that digital literacy and soft skills have a positive and significant effect on student learning achievement at private universities in Cirebon. …”
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Three-Dimensional CKANs: UUV Noncooperative Target State Estimation Approach Based on 3D Convolutional Kolmogorov–Arnold Networks by Changjian Lin, Dan Yu, Shibo Lin

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Risk prediction and effect evaluation of complicated appendicitis based on XGBoost modeling by Sunmeng Chen, Jianfu Xia, Beibei Xu, Yi Huang, Miaomiao Teng, Juyi Pan

“…An integrated learning algorithm, Extreme Gradient Boosting (XGBoost), was introduced to predict the risk of CAP and compared with Support Vector Machine (SVM), Random Forest (RF), and Decision Tree (CART) algorithms. …”
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Research on the Influence of Virtual Reality on the Learning Effect of Technical Skills of Science and Engineering College Students: Meta-Analysis Based on 32 Empirical Studies by Yan Ma, Lu Zhang, Min Wu

“…Virtual reality technology (VR) has been widely used in education and teaching, but the results of a large number of experimental studies on the impact of VR on students’ technical skill learning are not consistent. In this study, a meta-analysis method was used to conduct in-depth quantitative analysis of 32 experimental or quasi-experimental research literatures based on virtual reality in the past 20 years. …”
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A study on how to improve students' continuance intention in landscape architecture conservation course within a virtual learning environment based on SVVR by Yang Li, Yi Yang, Silu Bao

“…While university curricula begin to focus on this area, the shortcomings of conventional teaching methods are apparent, especially in technology-supported learning. …”
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Deep learning-based fully automated detection and segmentation of pelvic lymph nodes on diffusion-weighted images for prostate cancer: a multicenter study by Zhaonan Sun, Pengsheng Wu, Tongtong Zhao, Ge Gao, Huihui Wang, Xiaodong Zhang, Xiaoying Wang

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Optimizing timing and cost-effective use of plasma biomarkers in Alzheimer’s disease by Hsin-I Chang, Mi-Chia Ma, Kuo-Lun Huang, Chung-Gue Huang, Shu-Hua Huang, Chi-Wei Huang, Kun-Ju Lin, Chiung-Chih Chang

“…Abstract Background and objectives Early and cost-effective identification of amyloid positivity is crucial for Alzheimer’s disease (AD) diagnosis. …”
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Embodying the “Patient” Role: How Immersive Simulation Enhances Surgical Positioning Skill Acquisition? by leila sadati, Rana Abjar, Zahra Nouri Khaneghah, Fatemeh Edalattalab, Sahar Karami

“… According to importance in correct surgical positioning on surgical outcomes by surgical team members, this study was done to evaluate the effects of simulation-based learning (SBL) on surgical technologist students’ knowledge and clinical skill in surgical positioning. …”
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Major depressive disorder recognition based on electronic handwriting recorded in psychological tasks by Chong Li, Kunxue Zhang, Qunxing Lin, Shan Huang, Wanying Cheng, Yueshiyuan Lei, Xinyu Zhao, Jiubo Zhao

“…Methods A total of 130 patients and 117 healthy controls completed 21 psychology-related handwriting tasks. …”
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