Classification of multi-lead ECG based on multiple scales and hierarchical feature convolutional neural networks by Feiyan Zhou, Duanshu Fang

“…However, current deep learning-based classification methods often encounter difficulties in effectively integrating both the morphological and temporal features of Electrocardiograms (ECGs). …”
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Development of a Guidance System for an Agricultural Wheeled Robotic Platform in Row Crop Fields by Hossein Behfar, Fahime Hashemi, Arezu Nobakht

“…The Hough transform method was used to determine the position of the crop rows. …”
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GAN-Based Driver’s Head Motion Using Millimeter-Wave Radar Sensor by Hong Nhung Nguyen, Yong-Hwa Kim

“…The recognition of driver behavior is critical for enhancing road safety, with a particular focus on monitoring driver attention. Radar-based recognition systems offer distinct advantages over traditional computer vision methods, including enhanced user privacy, reduced power consumption, and greater flexibility in sensor deployment. …”
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A File-Statement Approach for Bug Localization: Optimizing IRBL and Combination Strategy by Zhonghao Guo, Xinyue Xu, Xiangxian Chen, Chenge Geng

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Perception of Light Environment in University Classrooms Based on Parametric Optical Simulation and Virtual Reality Technology by Zhenhua Xu, Jiaying Chang, Cong Han, Hao Wu

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Medical Image Segmentation Algorithm Based on Optimized Convolutional Neural Network-Adaptive Dropout Depth Calculation by Feng-Ping An, Jun-e Liu

“…Traditional machine learning methods have achieved certain beneficial effects in medical image segmentation, but they have problems such as low classification accuracy and poor robustness. …”
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Robust Feature Matching of Multi-Illumination Lunar Orbiter Images Based on Crater Neighborhood Structure by Bin Xie, Bin Liu, Kaichang Di, Wai-Chung Liu, Yuke Kou, Yutong Jia, Yifan Zhang

“…The method integrates deep-learning based crater detection, Crater Neighborhood Structure features (CNSFs) construction, CNSF similarity-based matching, and outlier removal. …”
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Effects of lockdown during corona pandemic on children with neurodevelopmental disorders-A questionnaire-based survey by Jyotindra Narayan Goswami, Vishal Sondhi, Ashish Kumar Simalti, Manu Bamal, Shuvendu Roy

“…Results. 135/188 (71.8%) parents of children with Autism Spectrum Disorder (ASD)(n=104), Attention Deficit Hyperactivity Disorder (ADHD) (n=26) and Learning Disability (LD)(n=5) responded. Pre-lockdown, 133 (99%) children were receiving regular institution-based therapy, which ceased intra-lockdown. …”
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Intrusion Detection in IoT Networks Using Dynamic Graph Modeling and Graph-Based Neural Networks by William Villegas-Ch, Jaime Govea, Alexandra Maldonado Navarro, Pablo Palacios Jativa

“…Experimental results demonstrate that our GNN-based model significantly outperforms traditional machine learning methods, achieving an F1-Score of 0.95 and an AUC-ROC of 0.98, compared to values between 0.84 and 0.91 for Support Vector Machines and Random Forests. …”
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Designing a model for the development of questioning skills based on the school context in primary school students by motahare Khosravi Rad, Ahmad Akbari, Mohammad karimi, Moslem Cherabin

“…AbstractThe purpose of the current research is to design a model for the development of questioning skills in elementary school students of Razavi Khorasan Province based on the school context. The research method of data-based theory and qualitative approach has been used to answer this question in the qualitative part. 2020 MaxQDA software was used for data analysis. …”
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Contribution of A.V. Zaporozhets and L.A. Venger to the Solution of Methodological Issues in Child and General Psychology by Nikolay E. Veraksa

“…Venger in the analysis of three problems: the role of assimilation in perception, the transformation of the non-mental into the mental, and the relationship between learning and development. Methods. The work is of a theoretical nature. …”
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Applying state-of-the-art artificial intelligence to grading in simulation-based education: assessment, feedback, and ROI by Krystle K. Campbell, Michael J. Holcomb, Sol Vedovato, Lenora Young, Gaudenz Danuser, Thomas O. Dalton, Andrew R. Jamieson, Daniel J. Scott

“…Abstract Objective Accreditation bodies are driving competency-based education in healthcare, prompting curriculum reform. …”
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Data-driven soil salinization mapping: risk prediction and uncertainty quantification based on Bayesian inference by Yujian Yang, Ying Zhao, Rongjiang Yao, Xueqin Tong

“…KDE of 100 groups of predicted values showed a good fit based on data-driven soil EC, higher levels of uncertainty associated with soil EC correspond to areas where the gaussian distributions overlap using Theano, as PyMC3 core component based on deep learning principles.…”
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Status and perceptions of ChatGPT utilization among medical students: a survey-based study by Na Hu, Xiao Qin Jiang, Yi Da Wang, Yan Ming Kang, Zhen Xia, Hao Hui Chen, Sai Nan Duan, Dong Xu Chen

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EDUCATIONAL ROADMAPS AS A MEANS OF STUDENT-CENTERED EDUCATION by Nikolay I. Pak, Yelena G. Doroshenko, Ludmila B. Khegai

“…The purpose of article is to justify the implementation studentcentered education based on educational roadmaps. The projective strategy to model the educational system aimed at results from the position of studentcentered education is applied in order to construct a methodical system of subject preparation of students. …”
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Facilitators and barriers to implementing and sustaining facility-based stillbirth reviews in India: a qualitative study by Yebeen Ysabelle Boo, Rupanjali Deka, Aliki Christou, Uchenna Gwacham-Anisiobi, Jenny Gong, Monica Lakhanpaul, Jennifer J. Kurinczuk, Manisha Nair

“…This study aimed to identify the facilitators and barriers to implementing and sustaining facility-based stillbirth reviews as reported by Indian healthcare professionals. …”
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Off-grid hydroacoustic signal orientation estimation based on interpolation and subspace fitting in coprime arrays. by Chuanxi Xing, Guangzhi Tan, Qiang Meng, Yanling Ran, Mao Lu

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Multimodal diagnosis of Alzheimer’s disease based on resting-state electroencephalography and structural magnetic resonance imaging by Junxiu Liu, Junxiu Liu, Shangxiao Wu, Shangxiao Wu, Shangxiao Wu, Qiang Fu, Qiang Fu, Xiwen Luo, Xiwen Luo, Yuling Luo, Yuling Luo, Sheng Qin, Sheng Qin, Yiting Huang, Yiting Huang, Zhaohui Chen, Zhaohui Chen

“…This research stands as the inaugural exploration into the amalgamation of deep learning and EEG multimodality for AD diagnosis. Concurrently, this work strives to bolster the use of EEG in multimodal AD research, thereby positioning itself as a hopeful prospect for future advancements in AD diagnosis.…”
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Computer Vision-Based Drowsiness Detection Using Handcrafted Feature Extraction for Edge Computing Devices by Valerius Owen, Nico Surantha

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Enhanced CNN-BiLSTM-Attention Model for High-Precision Integrated Navigation During GNSS Outages by Wulong Dai, Houzeng Han, Jian Wang, Xingxing Xiao, Dong Li, Cai Chen, Lei Wang

“…To enhance positioning accuracy during GNSS outages, this paper proposes an error compensation method based on CNN-BiLSTM-Attention. …”
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