Initial position detection scheme based on discrete pulse signal injection for PMSM by Weiping Duan, Chen Cen, Chen Zhang

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A deep learning approach for epilepsy seizure detection using EEG signals by Manoj Kaushik, Divyanshu Singh, Malay Kishore-Dutta, Carlos M. Travieso

“…EEG signals could be helpful in imminent seizure prediction if the machine could detect changes in EEG patterns. In this study, we have proposed a one-dimensional Convolutional Neural network (CNN) for the automatic detection of epilepsy seizures. …”
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Detection and Analysis of Tooth Profile Deviation of Cycloidal Gear based on Projection Method by Mo Jingyu, Luo Shanming, Mao Lingxia, Fan Jianming

“…Based on image measurement technology,a non-contact detection method for tooth profile deviation detection of cycloidal gear is proposed,in order to solve the problem of low detection efficiency and lack of sample detection in the process of cycloidal gear detection. …”
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Enhancing consistency of AHP-based expert judgements: A new approach and its implementation in an interactive tool by Shimon Frish, Irit Talmor, Omer Hadar, Maxim Shoshany, Aviad Shapira

“…To address this issue, this paper presents a novel interactive software tool designed to enhance the logical coherence of expert judgments during decision-making processes. Utilizing a sophisticated greedy algorithm, which is interactively run vis-à-vis the experts in real time, the tool detects inconsistencies and suggests minor adjustments to improve the CR while preserving the integrity of the original evaluations. …”
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Machine Learning Model for Early Detection of COVID-19 by Heart Rhythm Abnormalities by M. S. Mezhov, V. O. Kozitsin, Iu. D. Katser

“…The article describes the problem of detecting covid anomalies in rhythm strips. The work aims at creating a mathematical model based on machine learning algorithms to automate the process of detecting covid abnormalities in the heart rhythm. …”
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Application-Oriented Fault Detection and Recovery Algorithm for Wireless Sensor and Actor Networks by Jinglin Du, Li Xie, Xiaoyan Sun, Ruoqin Zheng

“…AFDR identifies critical actors and designates backups for them. A backup actor detects the critical node failure and initiates a recovery process via moving to the optimal position. …”
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A Study of Contact Detection between Noncircular Particles in Discrete Element Method by Chengbo Li, Qianqian Gao, Xianchang Li

“…One of the key points of modeling noncircular particles in the discrete element method is the contact detection of particles. In this study, a general contact detection algorithm of two-dimensional particles with analytic shape functions is provided. …”
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Multilevel Feature Fusion-Based GCN for Rumor Detection with Topic Relevance Mining by Shenyu Chen, Meng Li, Weifeng Yang

“…However, existing methods for detecting rumors generally only learn pattern features or text content features from the whole propagation process, which fall short in capturing multilevel features with topic relevance of text content from social media data. …”
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Wireless Multimedia Sensor Network Based Subway Tunnel Crack Detection Method by Bo Shen, Wen-Yu Zhang, Da-Peng Qi, Xiao-Yang Wu

“…We also designed a fast, easy to implement fracture identification and detection image processing algorithm that can solve the image identification and detection problem. …”
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Development of Molecular Markers to Detect Diaporthe spp. from Decayed Soybean Seeds by Seongho Ahn, Nguyen Thi Diem Thuy

“…Most diseased seeds are removed during the selection process; however, it is difficult to distinguish infected seeds that do not display symptoms. …”
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AI-Driven Fire Detection and Suppression System with Real-Time Remote Monitoring by Metahri Dhiyaeddine, Dekar Amina, SettingsKadi Halima Bouchra

“… Fire detection and suppression are essential for the safety of monitored environments. …”
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MOD E LING EXPLOSIVE ORDNANCE SEARCH AND DETECTION PROCEDURES BY RADAR TECHNIQUES by Volodymyr I. Kotsiuruba

“…Besides, it was found the dependence between the width of the main beam of the directivity diagram at the level of 0.5 from its maximum power settings and the parameters of the zone of guaranteed detection of the explosive devices. The suggested improvements of the mathematical model and the sequence of calculations will increase the accuracy of simulation results of the process of search and detection of explosive devices in environments harboring in the justification of requirements for clearance of this type.…”
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Detection system of multi-track intelligent inspection robot for urban rail vehicles by WU Hongbo, QIU Weiming, WANG Jing, ZHU Linsen

“…The multi-track intelligent inspection robot detection system of urban rail vehicles realized automatic detection of the bottom and both sides of subway vehicles by adopting intelligent robot technology, SLAM (Simultaneous Localization and Mapping) technology, multi-degree-of-freedom flexible cooperative manipulator control technology, high-definition optical imaging technology and AI (Artistic Intelligence) algorithm, as well as automatic early warning of abnormal situations such as deformation, looseness, missing and foreign bodies of key components of vehicle running gear. …”
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Steel Surface Defect Detection Algorithm Based on Improved YOLOv8 Modeling by Miao Peng, Sue Bai, Yang Lu

“…Detecting steel defects is a vital process in industrial production, but traditional methods suffer from poor feature extraction and low detection accuracy. …”
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Change Point Detection for Piecewise Envelope Current Signal Based on Wavelet Transform by Haiyan Wang, Feng Zhou, Chunyang Jiang, Ling Qin, Huaiqing Zhang

“…Discrete wavelet transform (DWT) modulus maxima method can detect change point, but the detection window of DWT will cause suspicious change point. …”
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Multimodal Network for Object Detection Using Channel Adjustment and Multi-Scale Attention by Yihang Ye, Mingxuan Chen

“…Object detection benefits greatly from multimodal image fusion, which integrates complementary data from different modalities like RGB and thermal images. …”
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An optimized stacking-based TinyML model for attack detection in IoT networks. by Anshika Sharma, Shalli Rani, Mohammad Shabaz

“…With the expansion of Internet of Things (IoT) devices, security is an important issue as attacks are constantly gaining more complex. Traditional attack detection methods in IoT systems have difficulty being able to process real-time and access limitations. …”
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Dead Broiler Detection and Segmentation Using Transformer-Based Dual Stream Network by Gyu-Sung Ham, Kanghan Oh

“…Improving productivity in industrial farming is crucial for precision agriculture, particularly in the broiler breeding sector, where swift identification of dead broilers is vital for preventing disease outbreaks and minimizing financial losses. Traditionally, the detection process relies on manual identification by farmers, which is both labor-intensive and inefficient. …”
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Artificial Neural Network and Latent Semantic Analysis for Adverse Drug Reaction Detection by Ahmed Adil Nafea, Nazlia Omar, Zohaa Mubarak Al-qfail

“…Yet, there are still many challenging issues that face ADR extraction, especially the accuracy of detection. The main aim of this study is to propose LSA with ANN classifiers for ADR detection. …”
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Quantum Edge Detection and Convolution Using Paired Transform-Based Image Representation by Artyom Grigoryan, Alexis Gomez, Sos Agaian, Karen Panetta

“…Classical edge detection algorithms often struggle to process large, high-resolution image datasets efficiently. …”
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