Method for assessing rodent infestation in plateau based on SegFormer. by Xiangjie Huang, Guoying Zhang, Chunmei Li, Yaosheng Han, Qing Dong, Hao Wang

“…Meanwhile, integrating the multi-kernel convolution feed-forward network (MCFN) into the decoder optimizes the problem of detail recovery and fusion of multi-scale features. …”
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Computerized Interactive Gaming via Supporting Vector Machines by Y. Jiang, J. Jiang, I. J. Palmer

“…In comparison with existing techniques, such as rule-based and neural networks, and so forth, our SVM-based interactive gaming algorithm has the features of (i) high-speed processing, providing instant response to the players, (ii) winner selection and control by one parameter, which can be predesigned and adjusted according to the needs of interaction and game design or specific level of difficulties, and (iii) detection of interaction points is adaptive to the input changes, and no labelled training data is required. …”
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SSTMNet: Spectral-Spatio-Temporal and Multiscale Deep Network for EEG-Based Motor Imagery Classification by Albandari Alotaibi, Muhammad Hussain, Hatim Aboalsamh

“…Finally, these features are deeply analyzed by a sequential block to extract high-level features, which are used to detect an MI task. …”
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Two-dimensional spatial orientation relation recognition between image objects by Gong Peiyong, Zheng Kai, Jiang Yi, Zhao Huixuan, Huai Honghao, Guan Ruijie

“…A dedicated fusion module synthesizes features from both branches, generating a structured triple list that documents detected objects, their inter-object spatial orientations, and associated confidence scores. …”
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Analyzing social psychological impact on emotional expression through peer communication using crayfish optimization algorithm with deep learning model by Umkalthoom Alzubaidi

“…Emotional recognition in the text document is primarily a content-based classification problem containing ideas from natural language processing (NLP). …”
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A Transfer Learning Approach for Toe Walking Recognition Using Surface Electromyography on Leg Muscles by Andrea Manni, Gabriele Rescio, Anna Maria Carluccio, Andrea Caroppo, Alessandro Leone

“…This study proposes a new approach to detect toe walking using surface Electromyography (sEMG) on lower limbs. sEMG sensors, by measuring the electrical activity of muscles, can see signals before the movement corresponding to muscle activation, contributing to an early detection of a possible problem. …”
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ADWNet: An improved detector based on YOLOv8 for application in adverse weather for autonomous driving by Xinyun Feng, Tao Peng, Ningguo Qiao, Haitao Li, Qiang Chen, Rui Zhang, Tingting Duan, JinFeng Gong

“…To address the problem of information loss in fused features, Neck has been replaced with RepGDNeck. …”
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A fast and fully automated system for segmenting retinal blood vessels in fundus images by Alqassab Ans Ibrahim Mahameed, Luque-Nieto Miguel-Ángel

“…The problem of segmenting retinal blood vessels in fundus images arises from the challenges of accurately detecting and delineating vessels due to their complex structures, varying sizes, and overlapping features. …”
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Job absorption and its relationship with the spirit of challenge of some volleyball coaches from the players' point of view by M. Afrah Baqir, Dr. Luma Sameer, Dr. Muslim Mohammed

“… The importance of the current study lies in the psychological preparation of coaches, their abilities and skills that can be measured for them and the possibility of being distinguished by them by coaches, and thus its reflection on their players because the players always derive challenge, enthusiasm and other psychological skills from their coaches and their characteristics that encourage players to perform well, The research problem is that there are basic and distinct features that should characterize the personality of the trainer and control most of his behaviors in different life situations because of their great and effective role in making him able to face the difficulties and challenges of life and at the same time lead to the development of his personality and as a result of the poor availability of information about job absorption. …”
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Research into the Application of ResNet in Soil: A Review by Wenjie Wu, Lijuan Huo, Gaiqiang Yang, Xin Liu, Hongxia Li

“…ResNet outperforms traditional methods by effectively mitigating the vanishing gradient problem, enabling deeper network training, enhancing feature extraction, and improving accuracy in complex pattern recognition tasks. …”
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Fault diagnosis of MMC-MTDC based on traveling wave characteristics and KOA-CNN-BiGRU-AM by Bo YU, Xuejun GAO, Can WANG, Ruiling LI, Yanbin XU, Mengjie RONG

“…Based on travelling wave features, a diagnostic method is proposed to address the complexity of manual threshold setting process and the difficulty of detecting high-resistance faults in the fault diagnosis of multi-terminal direct current grid based on modular multilevel converter （MMC-MTDC）. …”
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Defeat of the urinary system against the background of connective tissue dysplasia in a 7-year-old child (clinical observation) by T. I. Bikmetov, I. V. Zorin, R. A. Zorina, E. V. Nesterenko

“…Special attention is paid to the problems of nephrology in children in pediatrics. Early detection of a real lesion in children with connective tissue dysplasia is difficult. …”
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Intelligent recognition technology of high speed moving target contour in dynamic visual scene by Min Qiu

“…On the basis of extracting edge contours, the contour description method based on the increment of centroid height is used to extract the feature of contour centroid height increment, which not only considers the problem of motion blur but also incorporates the dynamic information of contour changes with target motion. …”
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Multitarget Tracking of Pedestrians in Video Sequences Based on Particle Filters by Hui Li, Shengwu Xiong, Pengfei Duan, Xiangzhen Kong

“…In order to improve the efficiency and accuracy of the detection, the algorithm firstly obtains target regions in training frames by combining the methods of background subtraction and Histogram of Oriented Gradient (HOG) and then establishes discriminative appearance model by generating patches and constructing codebooks using superpixel and Local Binary Pattern (LBP) features in those target regions. …”
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Enhanced U-Net with Multi-Module Integration for High-Exposure-Difference Image Restoration by Bo-Lin Jian, Hong-Li Chang, Chieh-Li Chen

“…This study adopts supervised learning to solve the problem of images under lighting discrepancies using a U-Net as our main architecture of the network and adding suitable modules to its encoder and decoder, such as inception-like blocks, dual attention units, selective kernel feature fusion, and denoising blocks. …”
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Redefining dental image processing: De-convolutional component with residual prolonged bypass for enhanced teeth segmentation by Prasun Kumar, Verma Anil, Mishra Rajiv

“…Therefore, different traditional techniques are employed for the detection of dental problems. However, these classical techniques such as X-Ray and CT scans are considered to be time-consuming, ineffective, and prone to errors due to human intervention. …”
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Research on Small-Sample Credit Card Fraud Identification Based on Temporal Attention-Boundary-Enhanced Prototype Network by Boyu Liu, Longrui Wu, Shengdong Mu

“…In this paper, we propose a credit card fraud detection method called the Time-Series Attention-Boundary-Enhanced Prototype Network (TABEP), which strengthens the temporal feature dependency between channels by incorporating a time-series attention module to achieve channel temporal fusion feature acquisition. …”
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Privacy-Oriented Successive Approximation Image Position Follower Processing by Ying Miao, Danyang Shao, Zhimin Yan

“…In this paper, we analyze the location-following processing of the image by successive approximation with the need for directed privacy. To solve the detection problem of moving the human body in the dynamic background, the motion target detection module integrates the two ideas of feature information detection and human body model segmentation detection and combines the deep learning framework to complete the detection of the human body by detecting the feature points of key parts of the human body. …”
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BLACKMAIL AS A METHOD OF EXTORTION by KHOMUTOVA RUSLANA, DAVTYAN DAVID

“…An important section is the analysis of the difficulties of detecting and investigating extortion, the features of latency, the use of new methods of criminology and interdepartmental interaction, as well as forecasting new threats. …”
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Validation of a machine learning model for indirect screening of suicidal ideation in the general population by Polona Rus Prelog, Teodora Matić, Peter Pregelj, Aleksander Sadikov

“…The primary goal of this study was to validate a machine-learning-based model for screening suicidality using indirect questions, developed on data collected during the early COVID-19 pandemic and to differentiate suicide risk among subgroups like age and gender. The detection of suicidal ideation (SI) was based on habits, demographic features, strategies for coping with stress, and satisfaction with three important aspects of life. …”
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