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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Early Detection of Parkinson's Disease: Ensemble Learning for Improved Diagnosis by Raut Komal, Balpande Vijaya

“…The SMOTE technique addresses the problem of misbalancing the data. The decision tree extracts the relevant features from the dataset. …”
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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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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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Optical Prior-Based Underwater Object Detection with Active Imaging by Jie Shen, Zhenxin Xu, Zhe Chen, Huibin Wang, Xiaotao Shi

“…To address this problem, this paper proposes an optical prior-based underwater object detection approach that takes advantage of optical principles to identify optical collimation over underwater images, providing valuable guidance for extracting object features. …”
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Application of machine learning methods for automated detection of network intrusions by M. V. Babicheva, I. A. Tretyakov

“…It is shown that a machine learning-based network intrusion detection system can solve the problem of flexible protection that could adapt to the ever-changing nature of network attacks, since one of the most important advantages of machine learning in detecting network intrusions is the ability to learn the signs of attacks and identify cases that are uncharacteristic of those that were observed earlier.…”
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Anomaly Detection for Suspension Systems Based on the Gaussian Distribution of Hyperspheres by Ping WANG, Zi MEI, Zhiqiang LONG

“…Although an empirical threshold based on the suspension gap can be obtained according to the "Technical Conditions for the Suspension Control System of Middle-low Speed Maglev Trains CJ/T458—2014", it is affected by the non-unique rated suspension gap and external disturbances, which will cause false negatives in engineering applications. Meanwhile, the problem of the balance of suspension gap data increases the dif ficulty of anomaly detection. …”
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Analysis for Detecting Banana Leaf Disease Using the CNN Method by Nita Helmawati, Ema Utami

“…To solve this problem, fast and accurate automated detection is needed to help farmers effectively identify diseases on banana leaves. …”
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Unsupervised Anomaly Detection of Forceps Force by Localizing the Region of Interest by Wenhui Zhuang, Kimihiko Masui, Naoto Kume, Megumi Nakao

“…In this study, we propose an alternative approach by formulating the force feedback problem as an image-based anomaly detection task. …”
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Detection of conveyor belt defects using unified diagnostic criteria. by Gerike P.B., Gericke B.L.

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Features of human papillomavirus infection frequency in different regions of the Russian Federation (literature review) by E. V. Belyaeva, O. A. Tokarskaya, T. A. Bairova

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Subtelomeric screening in Serbian children with dysmorphic features and unexplained developmental delay/intellectual disabilities by Tatjana Damnjanovic, Vladimir Kostic, Ida Jovanovic, Valerija Dobricic, Tatjana Varljen, Vera Bunjevacki, Ljiljana Lukovic, Biljana Jekic, Vesna Mitic, Nikola Dimitrijevic, Nela Maksimovic, Goran Cuturilo, Ivana Novakovic

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Object detection and tracking in video sequences: formalization, metrics and results by R. P. Bohush, S. V. Ablameyko

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An Effective Feature Extraction Method for Tomato Leafminer - Tuta Absoluta (Meyrick) (Lepidoptera: Gelechiidae) Classification by Tahsin Uygun, Serhat Kiliçarslan, Cemil Közkurt, Mehmet Metin Ozguven

“…These results highlight the potential of combining deep learning-based feature extraction with conventional machine learning for early pest detection. …”
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Features of Surgical Correction of Spontaneous Luxation of the Complex “IOL Posterior Chamber – Capsular Bag” by O. P. Mishchenko, N. A. Senchenko, A. G. Shchuko

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Clinical features and molecular genetic risk factors for the development of chronic bronchitis in adolescent smokers. by S. I. Ilchenko, A. А. Fialkovska

“…Chronic bronchitis (СB) remains one of the most pressing problems of pediatric pulmonology. This is due to the high prevalence of this disease and the possible transformation into chronic obstructive pulmonary disease (COPD) in adults. …”
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Features of the organizational concept of airspace management planning in the Russian Federation on the example of the Moscow airspace by V. K. Pechenezhsk, E. K. Chuvikovskaya

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Feature Selection for Hypertension Risk Prediction Using XGBoost on Single Nucleotide Polymorphism Data by Lailil Muflikhah, Tirana Noor Fatyanosa, Nashi Widodo, Rizal Setya Perdana, Solimun, Hana Ratnawati

“…It is a chronic medical issue that, if left unaddressed, can lead to severe health complications, including kidney problems, heart disease, and stroke. This study aims to develop a feature selection model using the XGBoost algorithm to identify specific single nucleotide polymorphisms (SNPs) as biomarkers for detecting hypertension risk. …”
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FEATURES OF FUNCTIONALITY OF CARDIOVASCULAR SYSTEM OF UNIVERSITY STUDENTS, LIVING IN THE INDUSTRIAL CITIES OF EASTERN SIBERIA by O. Yu. Katulskaya

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Self-collision Detection and Motion Planning of Hydraulic Quadruped Robot by SHAO Junpeng, CHI Hanwei, SUN Guitao

“…Aiming at the selfcollision problem in the motion of fourlegged robots， the distance function method is adopted， the feature points are selected for the legs， and the distance between the feature points is detected to plan the trajectory of the foot In the research process， the threedimensional model of the quadruped robot was established， and four selfcollision position detection models were given The analysis of the leg motion space was performed Two feature points were selected on each leg， and the feature points were used to solve the feature points Control the distance between the legs to control the legs Through simulation analysis and experiment， the distance function method can be used to control the minimum distance between the two ends at 3472mm， effectively avoiding the collision problem between the legs during the running of the robot…”
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