Cherry defect and classification detection based on improved YOLOX model by LIU Jing-yu, PEI Yue-kun, CHANG Zhi-yuan, CHAI Zhi, CAO Pei-pei

“…The detection accuracy of the inconspicuous defect was improved by setting the appropriate fusion factor for the feature pyramid network, and in order to solve the problem of imbalance between various types of real samples, Focal Loss was integrated into the loss function. …”
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Morphological features of the structure of the cerebellar cortex of rats in the norm and under prolonged exposure to the opioid by A. M. Bekesevych

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Rumor Detection Based on Knowledge Enhancement and Graph Attention Network by Wanru Wang, Yuwei Lv, Yonggang Wen, Xuemei Sun

“…Presently, most of the existing rumor detection methods focus on learning and integrating various features for detection, but due to the complexity of the language, these models often rarely consider the relationship between the parts of speech. …”
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Detection of cervical cell based on multi-scale spatial information by Gang Li, Xinyu Fan, Chuanyun Xu, Pengfei Lv, Ru Wang, Zihan Ruan, Zheng Zhou, Yang Zhang

“…To tackle this problem effectively, we propose a cervical cell detection method that utilizes multi-scale spatial information. …”
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ScaleFormer architecture for scale invariant human pose estimation with enhanced mixed features by Congying Ge, Wei Fu Qin

“…This paper proposes ScaleFormer, a novel scale-invariant pose estimation framework that effectively addresses multi-scale pose estimation problems by innovatively combining the hierarchical feature extraction capabilities of Swin Transformer with the fine-grained feature enhancement mechanisms of ConvNeXt. …”
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Features of Creativity and Conceptual Thinking of Students Studying in the Direction of "Software Engineering "(Engineers-Kognitologs) by Ivakhnenko O.N., Smolyaninova V.A.

“…The necessity to study the features of the creativity of students of cognitive engineers for their future professional activities in the modern world determines the problem of research. …”
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An Algorithm for Simplifying 3D Building Models with Consideration for Detailed Features and Topological Structure by Zhenglin Li, Zhanjie Zhao, Wujun Gao, Li Jiao

“…To tackle problems such as the destruction of topological structures and the loss of detailed features in the simplification of 3D building models, we propose a 3D building model simplification algorithm that considers detailed features and topological structures. …”
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YOLO-WAD for Small-Defect Detection Boost in Photovoltaic Modules by Yin Wang, Wang Yun, Gang Xie, Zhicheng Zhao

“…Subsequently, an additional detection layer is added to the neck, and C2f is replaced by C2f-EMA (CSP bottleneck with two convolutions–efficient multi-scale attention mechanism), which can redistribute feature weights and prioritize relevant features and spatial details across image channels to improve feature extraction. …”
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Research progress of abnormal user detection technology in social network by Qiang QU, Hongtao YU, Ruiyang HUANG

“…In social networks,the problem of anomalous users detection is one of the key problems in network security research.The anomalous users conduct false comments,cyberbullying or cyberattacks by creating multiple vests,which seriously threaten the information security of normal users and the credit system of social networks ,so a large number of researchers conducted in-depth study of the issue.The research results of the issue in recent years were reviewed and an overall structure was summarized.The data collection layer introduces the data acquisition methods and related data sets,and the feature presentation layer expounds attribute features,content features,network features,activity features and auxiliary features.The algorithm selection layer introduces supervised algorithms,unsupervised algorithms and graph algorithms.The result evaluation layer elaborates the method of data annotation method and index.Finally,the future research direction in this field was looked forward.…”
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Modern epidemiological features of viral acute intestinal infections in children and adolescents of Sakhalin region by E. Yu. Sapega, L. V. Butakova, O. E. Trotsenko

“…Age-adjusted rotavirus infection incidence showed predominance of the infection among preschool-aged children; norovirus infection was frequently detected among schoolchildren and adolescents. An increase in the focality index may indicate ongoing problems in the public catering sector, non-compliance with sanitary rules and hygiene standards, and untimely detection and isolation of patients with acute intestinal infections.Conclusion. …”
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Unveiling key pathomic features for automated diagnosis and Gleason grade estimation in prostate cancer by Valentina Brancato, Mario Verdicchio, Carlo Cavaliere, Francesco Isgrò, Marco Salvatore, Marco Aiello

“…Focusing on the problem of prostate cancer (PCa) diagnosis and grading, this study aims to detect which are the most discriminant features for distinguishing malignant from non-malignant tissue and Gleason patterns, leaving the evaluation of models’ classification performances as a secondary goal. …”
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A Method for Detecting Tomato Maturity Based on Deep Learning by Song Wang, Jianxia Xiang, Daqing Chen, Cong Zhang

“…Therefore, in this study, an improved YOLOv8 algorithm is proposed to address the problem of tomato fruit ripeness detection in complex scenarios, which is difficult to carry out accurately. …”
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EXPERIMENTAL STUDY OF IMMUNOMODULATORY FEATURES OF CEREBROSPINAL FLUID IN CASE OF BACTERIAL PURULENT MENINGITIS IN CHILDREN by L. A. Alekseeva, N. V. Skripchenko, G. F. Zheleznikova, N. E. Monakhova, A. A. Zhirkov, T. V. Bessonova

“…Pediatric Research and Clinical Center of Infectious Diseases under the Federal Medical Biological Agency, Saint Petersburg, Russia Investigation of the role of cerebrospinal fluid components in the processes of patho- and sanogenesis of central nervous system diseases is a fundamental problem of medicine and biology. The work aim was to study immunomodulatory features of cerebrospinal fluid in case of bacterial purulent meningitis (BPM) in children by an in vitro experiment.There were studied immunomodulatory features of high-molecular and low-molecular fractions of cerebrospinal fluid of 33 children with bacterial purulent meningitis of different etiology and 12 children without meningitis by phytohemagglutinin (PHA)-stimulated reaction of leukocyte blast transformation. …”
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Study on the Lightweighting Strategy of Target Detection Model with Deep Learning by Junli Hu

“…Firstly, the real-time and efficient target detection backbone network VoVNet is used to replace the feature extraction network VGG16. …”
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An Approach Based on Sum Product Networks for Code Smells Detection by Mostefai Abdelkader

“…Thus, many approaches have been proposed to detect and manage them. However, detecting code smells remains a challenging problem. …”
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A Lightweight Approach to Comprehensive Fabric Anomaly Detection Modeling by Shuqin Cui, Weihong Liu, Min Li

“…In order to solve the problem of high computational resource consumption in fabric anomaly detection, we propose a lightweight network, GH-YOLOx, which integrates ghost convolutions and hierarchical GHNetV2 backbone together to capture both local and global anomaly features. …”
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Automatic Detection of Motorcycle on the Road using Digital Image Processing by sutikno sutikno, Helmie Arif Wibawa, Ragil Saputra

“…One of them is traffic accidents on motorcyclist not wearing helmets. To overcome this problem, several researchers have developed detection system of motorcyclist not wear helmet. …”
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Multi-granularity Android malware fast detection based on opcode by Xuetao ZHANG, Meng SUN, Jinshuang WANG

“…The detection method based on opcode is widely used in Android malware detection,but it still contains some problems such as complex feature extraction method and low efficiency.In order to solve these problems,a multi-granularity fast detection method based on opcode for Android malware was proposed.Multi-granularity refers to the feature based on the bag of words model,and with the function as basic unit to extract features.By step-by-level aggregation feature,the APK multi-level information is obtained.The log length characterizes the scale of the function.And feature can be compressed and mapped to improve the efficiency and construct the corresponding classification model based on the semantic similarity of the Dalvik instruction set.Tests show that the proposed method has obvious advantages in performance and efficiency.…”
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Parameter Prediction for Metaheuristic Algorithms Solving Routing Problem Instances Using Machine Learning by Tomás Barros-Everett, Elizabeth Montero, Nicolás Rojas-Morales

“…Furthermore, we present an explainability analysis to detect which features are more relevant for the prediction of suitable parameter values.…”
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GA-PE-VMD and MSE Methods for Milling Chatter Feature Extraction of Thin-walled Parts by WANG Hanbin, LI Maoyue, LIU Xianli, WANG Zhixue, MENG Boyang

“…Chatter leads to poor surface quality, dimensional error and reducing the service life of tools and machines.Therefore, a reliable detection method is needed to identify chatter.Aiming at the problem of chatter detection in the milling process of thin-walled structures, a chatter feature extraction method of thin-walled parts based on optimal variational mode decomposition and multi-scale sample entropy is proposed.Firstly, in order to solve the problem of parameter selection in variational modal decomposition, a parameter adaptive method based on genetic algorithm optimization and minimum permutation entropy is proposed. …”
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