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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Research on small target ship recognition based on feature fusion method and hybrid attention model by Ronghui YAN, Qian GUO, Ming LEI, Yanxiang CAI, Jianfeng YANG

“…ObjectiveThis paper addresses a problem affecting small target ship detection in which network models have a low recognition rate caused by the insignificance of features in small target ships. …”
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PUE Attack Detection in CWSN Using Collaboration and Learning Behavior by Javier Blesa, Elena Romero, Alba Rozas, Alvaro Araujo, Octavio Nieto-Taladriz

“…Cognitive Wireless Sensor Network (CWSN) is a new paradigm which integrates cognitive features in traditional Wireless Sensor Networks (WSNs) to mitigate important problems such as spectrum occupancy. …”
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Detection of Abnormal Item Based on Time Intervals for Recommender Systems by Min Gao, Quan Yuan, Bin Ling, Qingyu Xiong

“…To solve the problem, an approach for the detection of abnormal item is proposed in this paper. …”
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ECG Paper Digitization and R Peaks Detection Using FFT by Ibraheam Fathail, Vaishali D. Bhagile

“…It is employed to investigate particular varieties of aberrant heart activity, such as arrhythmias and conduction problems. One of the most essential tools for detecting heart problems is the electrocardiogram (ECG). …”
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Joint feature representation optimization and anti-occlusion for robust multi-vessel tracking in inland waterways by Shenjie Zou, Jin Liu, Xiliang Zhang, Zhongdai Wu, Jing Liu, Bing Han

“…Previous studies have typically integrated object detection and trajectory association techniques to address this problem, but they still face some significant challenges. …”
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Using pseudo-AI submissions for detecting AI-generated code by Shariq Bashir

“…Previous studies have explored ways to detect AI-generated text, such as analyzing structural differences, embedding watermarks, examining specific features, or using fine-tuned language models. …”
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A SVM Approach of Aircraft Conflict Detection in Free Flight by Xu-rui Jiang, Xiang-xi Wen, Ming-gong Wu, Ze-kun Wang, Xi Qiu

“…In this article, aircraft conflict detection is considered as a binary classification problem; therefore, it can be solved by a pattern recognition method. …”
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Robust audio authenticity detection based on One-Class learning by LIANG Ziqi, ZHANG Xulong, WANG Jianzong, XIAO Jing

“…In response to the harm of voice forgery, many voice deception detection technologies have emerged to improve the reliability of speaker verification systems. …”
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Object Detection Method of Inland Vessel Based on Improved YOLO by Yaoqi Wang, Jiasheng Song, Yichun Wang, Rongjie Wang, Hongyu Chen

“…In order to solve the problems of low accuracy of the current mainstream target detection algorithms in identifying small target ships, complex background interference such as coastline buildings and trees, and the influence of ship occlusion on ship target detection, an inland river ship detection method based on improved YOLOv10n: CDS-YOLO is proposed under the premise of keeping the model lightweight. …”
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Traffic sign detection method based on improved YOLOv8 by Gaihua Wang, Peng Jin, Zhiwei Qi, Xiaohuan Li

“…Aiming at the current traffic sign detection problems of leakage, misdetection and low detection accuracy of small targets, a traffic sign detection method based on improved YOLOv8n is proposed. …”
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Broiler Behavior Detection and Tracking Method Based on Lightweight Transformer by Haixia Qi, Zihong Chen, Guangsheng Liang, Riyao Chen, Jinzhuo Jiang, Xiwen Luo

“…Detecting the daily behavior of broiler chickens allows early detection of irregular activity patterns and, thus, problems in the flock. …”
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A cascaded autoencoder unmixing network for Hyperspectral anomaly detection by Kun Li, Yingqian Wang, Qiang Ling, Yaoming Cai, Yao Qin

“…However, since abundance feature extraction and anomaly detection are decoupled, the learned features are not well-suitable for the subsequent detection. …”
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Intrusion detection model based on fuzzy theory and association rules by Jianwu ZHANG, Jiasen HUANG, Di ZHOU

“…An intrusion detection model based on fuzzy theory and improved Apriori algorithm was proposed.The BV-Apriori algorithm was used to generate the matching rule base,and the problem of excessive boundary in the continuous data partitioning process was solved by fuzzy set technology.The real-time analysis of the relationship between features and the update of the rule base were completed,and the intrusion detection model BVA-IDS (Boolean vector Apriori-intrusion detection system) was built.The results show that the mining efficiency of the BV-Apriori algorithm is significantly improved when compared with the existing Apriori-BR algorithm,in addition,the BVA-IDS model also performs well on intrusion detection indicators with high detection accuracy,and low false positive rate and false negative rate.…”
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A Hybrid Vision-Map Method for Urban Road Detection by Carlos Fernández, David Fernández-Llorca, Miguel A. Sotelo

“…A hybrid vision-map system is presented to solve the road detection problem in urban scenarios. The standardized use of machine learning techniques in classification problems has been merged with digital navigation map information to increase system robustness. …”
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Intrusion detection model based on fuzzy theory and association rules by Jianwu ZHANG, Jiasen HUANG, Di ZHOU

“…An intrusion detection model based on fuzzy theory and improved Apriori algorithm was proposed.The BV-Apriori algorithm was used to generate the matching rule base,and the problem of excessive boundary in the continuous data partitioning process was solved by fuzzy set technology.The real-time analysis of the relationship between features and the update of the rule base were completed,and the intrusion detection model BVA-IDS (Boolean vector Apriori-intrusion detection system) was built.The results show that the mining efficiency of the BV-Apriori algorithm is significantly improved when compared with the existing Apriori-BR algorithm,in addition,the BVA-IDS model also performs well on intrusion detection indicators with high detection accuracy,and low false positive rate and false negative rate.…”
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BLSTM based night-time wildfire detection from video. by Ahmet K Agirman, Kasim Tasdemir

“…Distinguishing fire from non-fire objects in night videos is problematic if only spatial features are to be used. Those features are highly disrupted under low-lit environments because of several factors, such as the dynamic range limitations of the cameras. …”
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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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Green Apple Detector Based on Optimized Deformable Detection Transformer by Qiaolian Liu, Hu Meng, Ruina Zhao, Xiaohui Ma, Ting Zhang, Weikuan Jia

“…Aiming at the problems existing in green apple detection, this study takes green apples as the research object, and proposes a green apple detection model based on optimized deformable DETR. …”
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Robotic arm target detection algorithm combined with deep learning by ZHANG Lei, ZHANG Wang, YUAN Yuan

“…To address these problems, an improved YOLOv5 target detection algorithm was proposed. …”
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