Robust Target Detection and Estimation for Airborne STAP Radar With Arbitrary Array Errors and Target Uncertainty by Jianxin Wu, Yang Zhao, Changxian Li, Peng Shen

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Effectiveness of Image Augmentation Techniques on Non-Protective Personal Equipment Detection Using YOLOv8 by Sungman Park, Jaejun Kim, Seunghyeon Wang, Juhyung Kim

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Lightweight detection and segmentation of crayfish parts using an improved YOLOv11n segmentation model by Wei Shi, Jun Zhang, YunFan Fu, DanWei Chen, JianPing Zhu, ChunFeng Lv

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Review of Acoustic Emission Detection Technology for Valve Internal Leakage: Mechanisms, Methods, Challenges, and Application Prospects by Dongjie Zheng, Xing Wang, Lingling Yang, Yunqi Li, Hui Xia, Haochuan Zhang, Xiaomei Xiang

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Main lobe deceptive jamming suppression based on blind source separation and energy detection for monopulse radar by Zhenhua Liu, Wei Liang, Ning Fu, Liyan Qiao, Jun Zhang

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Matrix Camera, Composed Television System for the Detection of the Contact Wire by V. I. Sirotinin, P. V. Stolbov, A. V. Voronin

Subjects: “…video capture and image processing…”
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Comparative analysis of BERT-based and generative large language models for detecting suicidal ideation: a performance evaluation study by Adonias Caetano de Oliveira, Renato Freitas Bessa, Ariel Soares Teles

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Advancing Real-Time Food Inspection: An Improved YOLOv10-Based Lightweight Algorithm for Detecting Tilapia Fillet Residues by Zihao Su, Shuqi Tang, Nan Zhong

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Research on Lightweight Algorithm Model for Precise Recognition and Detection of Outdoor Strawberries Based on Improved YOLOv5n by Xiaoman Cao, Peng Zhong, Yihao Huang, Mingtao Huang, Zhengyan Huang, Tianlong Zou, He Xing

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Image enhancement for detection of underwater moulted crabs in greenhouse soft-shell crab farming using deep learning by Mohammad Affaiq Bin Aini, Siow Hoo Leong, Yueh Tiam Yong, Beng Yong Lee, Xiaomin Zhao, Sharifah Raina Manaf, Firdaus Abdullah, Heng Yen Khong

Subjects: “…Image processing…”
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YOLOv8 vs RetinaNet vs EfficientDet: A Comparative Analysis for Modern Object Detection by Sana Fatima, Najmi Ghani Haider, Rizwan Riaz

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A Systematic Review of the Use of Electronic Nose and Tongue Technologies for Detecting Food Contaminants by Muhammad Zia Ul Haq, Baljit Singh, Xolile Fuku, Ahmed Barhoum, Furong Tian

“…This review examines 112 studies published from 2004 to 2025, and examines the functionalities and performance in detecting various food product-associated analytes. …”
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An X-ray image-based pruned dense convolution neural network for tuberculosis detection by Edna Chebet Too, David Gitonga Mwathi, Lucy Kawira Gitonga, Pauline Mwaka, Saif Kinyori

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Multiresidue Methods Analysis to Detect Contamination of Selected Metals in Honey and Pesticides in Honey and Pollen by Mattia Casula, Francesco Corrias, Alessandro Atzei, Massimo Milia, Nicola Arru, Alberto Satta, Ignazio Floris, Michelina Pusceddu, Alberto Angioni

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Development of a mobile application for rapid detection of meat freshness using deep learning by H. I. Kozan, H. A. Akyürek

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ElectroCom61: A multiclass dataset for detection of electronic componentsMendeley Data by Md. Faiyaz Abdullah Sayeedi, Anas Mohammad Ishfaqul Muktadir Osmani, Taimur Rahman, Jannatul Ferdous Deepti, Raiyan Rahman, Salekul Islam

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Passion Fruit Disease Detection Using Sparse Parallel Attention Mechanism and Optical Sensing by Yajie He, Ningyi Zhang, Xinjin Ge, Siqi Li, Linfeng Yang, Minghao Kong, Yiping Guo, Chunli Lv

Subjects: “…passion fruit disease detection…”
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JailbreakTracer: Explainable Detection of Jailbreaking Prompts in LLMs Using Synthetic Data Generation by Md. Faiyaz Abdullah Sayeedi, Maaz Bin Hossain, Md. Kamrul Hassan, Sabrina Afrin, Molla Md. Sabit Hossain, Md. Shohrab Hossain

“…The emergence of Large Language Models (LLMs) has revolutionized natural language processing (NLP), enabling remarkable advancements across various applications. …”
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Real-time damage detection of bridges using adaptive time-frequency analysis and ANN by V. Ahmadian, S. B. Beheshti Aval, E. Darvishan

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AI-driven UAV with image processing algorithm for automatic visual inspection of aircraft external surface by Mohammed A. H. Ali, Muhammad Zamil A. Zulkifle, Nik Nazri Nik Ghazali, Retna Apsari, M. M. F. Meor Zulkifli, Mohammad Alkhedher

“…Abstract This paper presents a novel AI-driven drone for automatic visual inspection based defects detection in the aircraft external surfaces. The defects on the aircraft surface are usually mixed with noise that are coming from unexpected sources such as aircraft’s background, the appearance of rivet on the aircraft’s surface and the surrounding environment like non-homogeneity of light intensity, shadow and weather changing, leading to difficulty in distinguishing between the defects and noise by merely applying an image processing algorithm. …”
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