Remote Sensing-Based Detection and Analysis of Slow-Moving Landslides in Aba Prefecture, Southwest China by Juan Ren, Wunian Yang, Zhigang Ma, Weile Li, Shuai Zeng, Hao Fu, Yan Wen, Jiayang He

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Simulation Analysis of Void Defect Detection in Sandwich-Structured Immersed Tunnel Using Elastic Wave by Ruiqiang Liu, Songhui Li, Guoxin Zhang, Shenyou Song, Jianda Xin

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Leveraging Image Analysis and Deep Convolutional Neural Networks for Cutting-Edge Malware Detection and Mitigation by Mohammad Mahmood Otoom, Ahmad Mahmoud Etoom

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An Attention-Enhanced 3D-CNN Framework for Spectrogram-Based EEG Analysis in Epilepsy Detection by Ziaullah Khan, Aakanksha Dayal, Hee-Cheol Kim

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Performance Testing and Analysis of a New GNSS Spoofing Detection Method in Different Spoofing Scenarios by Li Junzhi, Wu Haitao, Gao Jinfeng, Liu Fang, Zhang Yu, Li Gangqiang, He Yu

“…This paper addresses the vulnerability of Global Navigation Satellite Systems (GNSS) to spoofing signal attacks by proposing a spoofing detection method based on multi-parameter features and an optimized random forest algorithm. …”
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A Comparative Analysis of YOLOv9, YOLOv10, YOLOv11 for Smoke and Fire Detection by Eman H. Alkhammash

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Cross-modality fusion with EEG and text for enhanced emotion detection in English writing by Jing Wang, Ci Zhang

“…Traditional approaches to emotion detection primarily leverage textual features, using natural language processing techniques such as sentiment analysis, which, while effective, may miss subtle nuances of emotions. …”
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Spatiotemporal chest wall movement analysis using depth sensor imaging for detecting respiratory asynchrony by Masaru Mitsuya, Hiroki Nishine, Hiroshi Handa, Masamichi Mineshita, Masaki Kurosawa, Tetsuo Kirimoto, Shohei Sato, Takemi Matsui, Guanghao Sun

“…Background and objective: This study aimed to enhance point-of-care pulmonary function tests by developing a novel method for the spatiotemporal analysis of chest wall movements using a sequence of depth sensor images. …”
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A Critical Review of Artificial Intelligence Based Approaches in Intrusion Detection: A Comprehensive Analysis by Salman Muneer, Umer Farooq, Atifa Athar, Muhammad Ahsan Raza, Taher M. Ghazal, Shadman Sakib

“…Intrusion detection (ID) is critical in securing computer networks against various malicious attacks. …”
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Ocean Target Electric Field Signal Analysis and Detection Using LOFAR Based on Basis Pursuit by Huiwen Hu, Xuepeng Sun, Guocheng Wang, Lintao Liu

“…An ocean target electric field signal is an effective approach for analyzing the ocean environment and is widely used for detecting ocean targets, extracting their features, and tracking them. …”
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Comparative analysis of single-board computers for the development of a microarchitectural computing system for fire detection by D. A. Paulenka

“…The method of comparative analysis is used to select a computing platform. A series of performance tests and comparative analysis (benchmarking) are performed on the selected equipment. …”
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Early Detection and Age-Comparative Analysis of Colorectal Cancer Screening: Insights from the Turkish Population by Cem Batuhan Ofluoğlu, Fırat Mülküt, İsa Caner Aydın, Mehmet Karahan

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Haralick Texture Analysis for Differentiating Suspicious Prostate Lesions from Normal Tissue in Low-Field MRI by Dang Bich Thuy Le, Ram Narayanan, Meredith Sadinski, Aleksandar Nacev, Yuling Yan, Srirama S. Venkataraman

“…This study evaluates the feasibility of using Haralick texture analysis on low-field, T2-weighted MRI images for detecting prostate cancer, extending current research from high-field MRI to the more accessible and cost-effective low-field MRI. …”
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A deep learning model integrating domain-specific features for enhanced glaucoma diagnosis by Jie Xu, Erkang Jing, Yidong Chai

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Rhythm-Based Attention Analysis: A Comprehensive Model for Music Hierarchy by Fangzhen Zhu, Changhao Wu, Qike Huang, Na Zhu, Tuo Leng

“…Deciphering the structural hierarchy of musical compositions is indispensable for a range of music analysis applications, encompassing feature extraction, data compression, interpretation, and visualization. …”
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Research on Region Noise Reduction and Feature Analysis of Total Focus Method Ultrasound Image Based on Branch Pipe Fillet Weld by Yuqin Wang, Yong Li, Yangguang Bu, Shaohua Dong, Haotian Wei, Jingwei Cheng

“…The full matrix acquisition (FMC) and total focus method (TFM) ultrasonic detection technology are used for detection and defect image feature analysis. …”
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Advancing precision agriculture: A comparative analysis of YOLOv8 for multi-class weed detection in cotton cultivation by Ameer Tamoor Khan, Signe Marie Jensen, Abdul Rehman Khan

“…The enhanced architecture of YOLOv8, featuring anchor-free detection, an advanced Feature Pyramid Network (FPN), and an optimized loss function, enables accurate detection even under challenging conditions. …”
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Motif clustering and digital biomarker extraction for free-living physical activity analysis by Ya-Ting Liang, Charlotte Wang

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Historical Manuscripts Analysis: A Deep Learning System for Writer Identification Using Intelligent Feature Selection with Vision Transformers by Merouane Boudraa, Akram Bennour, Mouaaz Nahas, Rashiq Rafiq Marie, Mohammed Al-Sarem

“…The initial preprocessing phase involves thorough document refinement using bilateral filtering for denoising and Otsu thresholding for binarization, ensuring document clarity and consistency for subsequent feature detection. We utilize the FAST detector for feature detection, extracting keypoints representing handwriting styles, followed by clustering with the k-means algorithm to obtain meaningful patches of uniform size. …”
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An Improved Model for Detecting the Presence of Pesticide Residues in Edible Parts of Tomatoes, Cabbages, Carrots, and Green Pepper Vegetables Using Batch Image Analysis by Nabaasa, Evarist, Natumanya, Deborah, Mabirizi, Vicent

“…The model employs the following preprocessing techniques, that is, adaptive histogram equalization and Gaussian filtering, to enhance image quality before feature extraction through color analysis, edge detection, and texture measurement using the Gray Level Co-occurrence Matrix. …”
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