FOA-BDNet: A behavior detection algorithm for elevator maintenance personnel based on first-order deep network architecture by Zengming Feng, Tingwen Cao

“…This paper proposes an elevator maintenance personnel behavior detection algorithm based on the first-order deep network architecture (FOA-BDNet). …”
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Heart Rate Detection and Classification from Speech Spectral Features Using Machine Learning by Mohammed USMAN, Mohammed ZUBAIR, Zeeshan AHMAD, Monji ZAIDI, Thafasal IJYAS, Muneer PARAYANGAT, Mohd WAJID, Mohammad SHIBLEE, Syed Jaffar ALI

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Improving Image Spam Detection Using a New Image Texture Features Selection by Azam Shekari Shahrak, Seyed javad Mirabedini, Nasser Mikaeilvand, Seyed Hamid Haj Seyed Javadi

“…The purpose of the research is to use image texture features to detect image spam. So far, 22 features of image texture have not been used in one place to detect image spam. …”
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Thermographic Data Processing and Feature Extraction Approaches for Machine Learning-Based Defect Detection by Alexey Moskovchenko, Michal Svantner

“…Infrared thermography is a non-destructive testing method used to detect defects in materials and structures. Machine learning algorithms have been applied to thermographic data to automate the defect detection process. …”
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AccFIT-IDS: accuracy-based feature inclusion technique for intrusion detection system by C. Rajathi, P. Rukmani

“…To address this, the study proposed AccFIT (Accuracy-based Feature Inclusion Technique) for IDS, combining two-stage Feature Selection Algorithms (FSA). …”
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Motion feature extraction using magnocellular-inspired spiking neural networks for drone detection by Jiayi Zheng, Jiayi Zheng, Yaping Wan, Xin Yang, Hua Zhong, Minghua Du, Gang Wang, Gang Wang

“…To address this, inspired by the magnocellular motion processing mechanisms, we proposed to utilize the spatial–temporal characteristics of the flying drones based on spiking neural networks, thereby developing the Magno-Spiking Neural Network (MG-SNN) for drone detection. The MG-SNN can learn to identify potential regions of moving targets through motion saliency estimation and subsequently integrates the information into the popular object detection algorithms to design the retinal-inspired spiking neural network module for drone motion extraction and object detection architecture, which integrates motion and spatial features before object detection to enhance detection accuracy. …”
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Defect detection in textiles using back propagation neural classifier by Subrata Das, Amitabh Wahi, Suresh Jayaram

“…This paper presents a classification method to detect defects such as holes and thick places in knitted fabric by applying artificial neural network algorithm. …”
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Acoustic-based machine learning approaches for depression detection in Chinese university students by Yange Wei, Yange Wei, Shisen Qin, Fengyi Liu, Rongxun Liu, Yunze Zhou, Yuanle Chen, Xingliang Xiong, Wei Zheng, Guangjun Ji, Yong Meng, Fei Wang, Fei Wang, Ruiling Zhang

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Automatic detection of fake reviews at marketplaces using expert-based features and consumers’ reactions by A. N. Borodulina, E. V. Mikhalkova

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Study on Few-Shot Object Detection Approach Based on Improved RPN and Feature Aggregation by Qiyu Pan, Keyi Fu, Gaocai Wang

“…Compared to some mainstream few-shot object detection algorithms, the IFA-FSOD algorithm can select more accurate candidate boxes, addressing issues of missed high IoU candidate boxes and incomplete feature information capture, resulting in higher precision.…”
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Detection of terrain feature points from digital elevation models using contour context by Jiapei Hu, Xuejun Liu, Bo Wu

“…The study provides a robust mathematical model of terrain feature points and an effective algorithm for their extraction. …”
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Fault detection for Li-ion batteries of electric vehicles with feature-augmented attentional autoencoder by Yunsheng Fan, Zhiwu Huang, Heng Li, Wei Yuan, Lisen Yan, Yongjie Liu, Zheng Chen

“…Then, the augmented features are input into the local outlier factor algorithm for battery fault detection. …”
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Integrating Handcrafted Features with Machine Learning for Hate Speech Detection in Albanian Social Media by Fetahi Endrit, Hamiti Mentor, Susuri Arsim, Zenuni Xhemal, Ajdari Jaumin

“…To improve accuracy, we carefully performed feature selection to identify the most relevant features for detecting hate speech in the Albanian language. …”
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An efficient privacy-preserving multilevel fusion-based feature engineering framework for UAV-enabled land cover classification using remote sensing images by S. Nagadevi, G. Abirami, R. Brindha, T. Prabhakara Rao, Gyanendra Prasad Joshi, Woong Cho

Subjects: “…Intrusion detection system…”
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Dental bur detection system based on asymmetric double convolution and adaptive feature fusion by HongLing Hou, Ao Yang, Xiangyao Li, Kangkai Zhu, Yandi Zhao, Zhiqiang Wu

“…Our approach outperforms current detection algorithms in terms of detection capability and efficiency, presenting a new method for the precise detection and counting of elongated objects such as dental burs.…”
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HAF-YOLO: Dynamic Feature Aggregation Network for Object Detection in Remote-Sensing Images by Pengfei Zhang, Jian Liu, Jianqiang Zhang, Yiping Liu, Jiahao Shi

“…The growing use of remote-sensing technologies has placed greater demands on object-detection algorithms, which still face challenges. …”
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Performance Evaluation of Intrusion Detection System using Selected Features and Machine Learning Classifiers by Raja Azlina Raja Mahmood, AmirHossien Abdi, Masnida Hussin

“…Deploying feature selection together with efficient classifiers in the detection system can overcome these problems.  …”
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A novel feature extractor based on constrained cross network for detecting sleep state by Chenlei Tian, Fei Song

“…Most existing methods that utilize wrist-worn devices data for detection rely on heuristic algorithms or traditional machine learning, which suffer from low classification efficiency and insufficient accuracy. …”
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A Hierarchical Feature Fusion and Dynamic Collaboration Framework for Robust Small Target Detection by Xu Yan, Junliang Du, Xuan Li, Xiaoye Wang, Xiaoxuan Sun, Pochun Li, Hongye Zheng

“…To address this, this paper proposes a novel small target detection algorithm that integrates hierarchical feature fusion with a spatial dynamic collaboration mechanism. …”
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A Self-Supervised Feature Point Detection Method for ISAR Images of Space Targets by Shengteng Jiang, Xiaoyuan Ren, Canyu Wang, Libing Jiang, Zhuang Wang

“…The experiments demonstrate that SFPD has better performance in feature point detection and feature point matching than usual algorithms.…”
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