The Isaac Newton Telescope Monitoring Survey of Local Group Dwarf Galaxies. VII. Long-period Variable Stars in the Nearest Starburst Dwarf Galaxy, IC 10 by Mahtab Gholami, Atefeh Javadi, Hamidreza Mahani, Jacco Th. van Loon, Habib Khosroshahi, Elham Saremi, Iain McDonald, Samaneh Eftekhari, Yi Ren, Hamed Altafi

“…To identify long-period variable (LPV) stars in IC 10—the nearest starburst galaxy of the Local Group—we conducted an optical monitoring survey using the 2.5 m Isaac Newton Telescope with the wide-field camera (WFC) in the i band and V band from 2015 to 2017. …”
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Cross-Modal Collaboration and Robust Feature Classifier for Open-Vocabulary 3D Object Detection by Hengsong Liu, Tongle Duan

“…Given the complexity of real-world environments, research into open-vocabulary 3D object detection is essential. Therefore, this paper aims to address two key issues in this area: how to localize and classify novel objects. …”
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Prefix oriented N4WA coding scheme for improved tampering detection in relational data by Waqas Haider, Muhammad Sharif, Hadia Bashir, Mudassar Raza, Mussarat Yasmin

“…In this paper, a memory efficient N4WA coding scheme (breifed in section 3.1) ispresented to detect tampering and restoring modified data values in relational data.The existing watermarking schemes for tampering detection do not provide necessarycomponents, such as accurate localization and restoration in cooperation. …”
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Enhancing crack detection in railway tracks through AI-optimized ultrasonic guided wave modes by Jianjun Liu, Huan Luo, Han Hu, Jian Li

“…The utilization of ultrasonic guided wave technology for detecting cracks in railway tracks involves analyzing echo signals produced by the interaction of cracks with guided wave modes to achieve precise crack localization, which is extremely important in a real-time railway crack robotic detection system. …”
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Damage Detection of Seismically Excited Buildings Using Neural Network Arrays with Branch Pruning Optimization by Jau-Yu Chou, Chia-Ming Chang, Chieh-Yu Liu

“…To improve damage localization, many studies have investigated and implemented deep learning into damage detection frameworks. …”
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Automated Detection of Kaposi Sarcoma–Associated Herpesvirus–Infected Cells in Immunohistochemical Images of Skin Biopsies by Iftak Hussain, Juan Boza, Robert Lukande, Racheal Ayanga, Aggrey Semeere, Ethel Cesarman, Jeffrey Martin, Toby Maurer, David Erickson

“…The framework generates interpretable heatmaps for cell localization and provides quantitative values for the percentage of positive tiles. …”
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Power transmission system’s fault location, detection, and classification: Pay close attention to transmission nodes by Chiagoziem C. Ukwuoma, Dongsheng Cai, Olusola Bamisile, Ejiyi J. Chukwuebuka, Ekong Favour, Gyarteng S.A. Emmanuel, Acen Caroline, Sabirin F. Abdi

“…This study, therefore, presents a fault localization, detection, and classification model for transmission systems that concentrate on the key distribution nodes. …”
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Enhanced Crack Detection in Composite Plates: Integrating Haar Wavelet Transform with Convolutional Neural Networks by Mehrparvar Marmar, Majak Jüri, Karjust Kristo

“…The Haar wavelet method is employed to preprocess vibration data, extracting key features that improve CNN's ability to identify and localize cracks. The proposed approach establishes high accuracy in detecting crack locations and intensities, showcasing its potential for real-time structural health monitoring.…”
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Utilization of Cable Screen Earthing Current for Detection and Location of Earth Faults in Medium Voltage Networks by Krzysztof Łowczowski, Józef Lorenc, Magdalena Czerniak, Józef Zawodniak

“…The presented relations are the basis of the developed algorithm of detection and localization of earth faults. The presented considerations were confirmed by an experiment performed in the MV network.…”
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Detection and analysis of MSX1 gene mutations in two families with non-syndromic tooth agenesis by DING Tingting, LIU Haochen

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Small Target Detection Algorithm for UAV Aerial Images Based on Improved YOLOv7-tiny by ZHANG Guanghua, LI Congfa, LI Gangying, LU Weidang

“…Finally, the coupled detection head of YOLOv7-tiny is replaced with a more efficient decoupled head, which separates feature channels for localization and classification tasks and enhances both classification and localization accuracy. …”
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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

“…First, utilizing the spatial-temporal coupling property of the ground clutter, array steering vectors are well estimated by fine Doppler localization of the mainlobe clutter. Then, the robust subspace detector spanned by these estimated array steering vectors is developed, which can improve the detection performance for the targets not located in the look direction. …”
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Research and Application of a Multitarget Detection Algorithm Based on Improved YOLOv8 for Indoor Objects by Yanzhen Wang, Wei Wang, Xiaolong Zhou, Xubin Dong, Jianyong Li, Qi Zhao, Xinyu Yang, Yao Wang

“…A comparison with other popular models shows that YOLOv8 - CBW3 has strong generalizability, localization performance, detection ability and robustness. …”
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Eddy current modelling using multi-layer perceptron neural networks for detecting surface cracks by S. Harzallah, R. Rebhi, M. Chabaat, A. Rabehi

“…Simultaneous use of ANN by MLP can be very helpful for the localization and the shape classification of defects. …”
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Diagnostic value of nuclear medicine modaities for the detection of sentinel lymph nodes in patients with breast cancer by E. A. Nikolaeva, A. S. Krylov, A. D. Ryzhkov, Kh. Kh. Batyrov, A. A. Parokonnaya, M. E. Bilik, T. V. Zakharova, A. V. Svetlyakova, A. I. Pronin

“…SPECT and SPECT/CT can identify more lymph nodes than planar scintigraphy, improving their anatomical localization, and reducing the false negative rate. The diagnostic performance of SPECT/CT and SPECT is believed to be superior to that of planar lymphoscintigraphy and intraoperative navigation in detecting SLN.…”
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A Multimodal Data Fusion and Embedding Attention Mechanism-Based Method for Eggplant Disease Detection by Xinyue Wang, Fengyi Yan, Bo Li, Boda Yu, Xingyu Zhou, Xuechun Tang, Tongyue Jia, Chunli Lv

“…A novel eggplant disease detection method based on multimodal data fusion and attention mechanisms is proposed in this study, aimed at improving both the accuracy and robustness of disease detection. …”
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Practical Implementation of Federated Learning for Detecting Backdoor Attacks in a Next-word Prediction Model by Jimmy K. W. Wong, Ki Ki Chung, Yuen Wing Lo, Chun Yin Lai, Steve W. Y. Mung

“…Abstract This article details the development of a next-word prediction model utilizing federated learning and introduces a mechanism for detecting backdoor attacks. Federated learning enables multiple devices to collaboratively train a shared model while retaining data locally. …”
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YOLO11m-SCFPose: An Improved Detection Framework for Keypoint Extraction in Cucumber Fruit Phenotyping by Huijiao Yu, Xuehui Zhang, Jun Yan, Xianyong Meng

“…To address the issues of low efficiency and large errors in traditional manual cucumber fruit phenotyping methods, this paper proposes the application of keypoint detection technology for cucumber phenotyping and designs an improved lightweight model called YOLO11m-SCFPose. …”
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Machine learning techniques in ultrasonics-based defect detection and material characterization: A comprehensive review by Boris I, Kseniia Barashok, Yongjoon Choi, Yeongil Choi, Mohammed Aslam, Jaesun Lee

“…Emphasis is placed on case studies and real-world applications, highlighting ML’s role in defect detection, localization, and material property assessment. …”
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Research on Concrete Crack Detection in Hydropower Station Burial Engineering Based on Quantum Particle Technology by Yuanjiang Ma, Jun Fu, Qingsong Zhang, Xiaobing Liu, Bingxu Chen, Gang Yan, Hua Shi

“…Cracking in hydraulic buried engineering can cause localized damage or complete structural failure, potentially resulting in catastrophic project outcomes. …”
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