Editorial: Radiation detection and measurement in neutron capture therapy by Isao Murata, Alexander Winkler, Fuminobu Sato

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Unsupervised Machine Learning for Effective Code Smell Detection: A Novel Method by Ruchin Gupta, Narendra Kumar, Sunil Kumar, Jitendra Kumar Seth

“…The quality of source code is negatively impacted by code smells. …”
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Using Microphone Arrays to Detect Moving Vehicle Velocity by Ramón PERAL-ORTS, Emilio VELASCO-SANCHEZ, Nuria CAMPILLO-DAVÓ, Hector CAMPELLO-VICENTE

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Toward Compliance and Transparency in Raw Material Sourcing With Blockchain and Edge AI by Abderrahim Khiari, Anas Osman, Massimo Vecchio, Mattia Antonini, Miguel Pincheira

“…This low-power device enables real-time detection of shipment anomalies such as tampering or unauthorized access, even in offline and resource-limited environments. …”
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Thorium in Kilonova Spectra: Exploring the Heaviest Detectable Element by Nanae Domoto, Shinya Wanajo, Masaomi Tanaka, Daiji Kato, Kenta Hotokezaka

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Multimodal learning audio-visual detection for obtaining object-level sound sources in Japanese-language teaching room by Lu Li, Xiuxiu Bai, Junxiu Xu, Dingkang Wang, Tao Jiang

“…AVD can be effectively used to locate sounding objects (e.g. clapping, sneaking, organizing things, etc.) from unknown sources in online or physical classrooms. This study proposes a novel deep learning-based approach for audio-visual detection (AVD) in Japanese-language teaching rooms, combining audio and visual information to detect sound sources at the object level. …”
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Establishment of loop-mediated isothermal amplification for Brucella detection using a warmer pad as a heating source by Ye Yin-Bo, Li Dong-Liang, Yang Bo-Han, Zhang Zhao, Mei Si-Yao, Liu Bao-Shan, Chen Ze-Liang

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Surface Vessels Detection and Tracking Method and Datasets with Multi-Source Data Fusion in Real-World Complex Scenarios by Wenbin Huang, Hui Feng, Haixiang Xu, Xu Liu, Jianhua He, Langxiong Gan, Xiaoqian Wang, Shanshan Wang

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Tunnel Seismic Detection for Tunnel Boring Machine by Joint Active and Passive Source Method and Imaging Advanced Prediction by Xinglin Lu, Jun Wang, Wei Wang, Xuhua Liu, Chao Yang, Yufeng Liu, Zhihong Fu

“…The active source and the passive source detection methods are two commonly used for imaging advanced prediction of tunnel boring machine (TBM). …”
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Research on Speed and Position Detection Technology for Train Operation Control System Based on Multi-Source Information Fusion by YANG Chongfu

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Quality Control Technique for Ground-Based Lightning Detection Data Based on Multi-Source Data over China by Yongfang Xu, Yan Shen, Xiaowei Jiang, Fengyun Tian, Lei Cao, Nan Wang

“…Existing quality control (QC) schemes for millisecond-level lightning observation data from a single source are primarily limited by the instrument and equipment, leading to inadequate monitoring, forecasting, and early warning accuracy in severe convective weather. …”
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The probability of detecting host-specific microbial source tracking markers in surface waters was strongly associated with method and season by Claire M. Murphy, Daniel L. Weller, Tanzy M. T. Love, Michelle D. Danyluk, Laura K. Strawn

“…To understand how to best employ MST marker data for managing fecal contamination risks, the present study compiled previously collected MST marker data (N = 12,878 samples) from across North America; each sample in the data set had been tested for fecal contamination from one or more of five sources (avian, canine, human, ruminant, swine). Using these data, this study aimed to characterize associations between non-methodological and methodological factors and detection of host-specific MST markers and determine how methodological differences may complicate the interpretation of these associations between studies. …”
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Social Media as a Source of Information for the Detection of Adverse Drug Reactions in Post-Marketing Surveillance: A Review by E. K. Nezhurina, K. S. Milchakov, A. A. Abramova

“…According to the guidelines on Good Pharmacovigilance Practices, social media can be considered an important additional source of patient-derived information in post-marketing surveillance, but the effectiveness of their use in detecting adverse drug reactions (ADRs) is still being investigated.AIM. …”
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OCT-SelfNet: a self-supervised framework with multi-source datasets for generalized retinal disease detection by Fatema-E Jannat, Sina Gholami, Minhaj Nur Alam, Hamed Tabkhi

“…To address this, we have developed a self-supervised machine learning framework for detecting eye diseases from optical coherence tomography (OCT) images, aiming to achieve generalized learning while minimizing the need for large labeled datasets.MethodsOur framework, OCT-SelfNet, effectively addresses the challenge of data scarcity by integrating diverse datasets from multiple sources, ensuring a comprehensive representation of eye diseases. …”
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Comprehensive geohazard detection along the Qinghai-Tibet Plateau transportation corridor based on multi-sourced earth observations by Zhenhong Li, Chenglong Zhang, Chen Yu, Mingtao Ding, Wu Zhu, Trevor B. Hoey, Bo Chen, Jiantao Du, Xinlong Li, Jianbing Peng

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An Improved Software Source Code Vulnerability Detection Method: Combination of Multi-Feature Screening and Integrated Sampling Model by Xin He, Asiya, Daoqi Han, Shuncheng Zhou, Xueliang Fu, Honghui Li

Subjects: “…source code vulnerability detection…”
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IXPE Detection of Highly Polarized X-Rays from the Magnetar 1E 1841-045 by Michela Rigoselli, Roberto Taverna, Sandro Mereghetti, Roberto Turolla, Gian Luca Israel, Silvia Zane, Lorenzo Marra, Fabio Muleri, Alice Borghese, Francesco Coti Zelati, Davide De Grandis, Matteo Imbrogno, Ruth M. E. Kelly, Paolo Esposito, Nanda Rea

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Cluster Embedding Joint-Probability-Discrepancy Transfer for Cross-Subject Seizure Detection by Xiaonan Cui, Jiuwen Cao, Xiaoping Lai, Tiejia Jiang, Feng Gao

Subjects: “…Seizure detection…”
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A Novel Spectrum Sensing Method for Multiple Unknown Signal Sources Using Frequency Domain Energy Detection and DBSCAN by Rui Gao, Guanghui Yan, Ruiting Niu, Wenwen Chang, Tianfeng Yan, Chunyang Tang

“…Spectrum sensing is a fundamental aspect of cognitive radio technology, tasked with detecting spectrum holes and unknown signal sources to improve spectrum management and resource utilization. …”
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Testing OH Megamaser Identification Methods in H i Surveys: Updated Source-flagging Algorithms and New Detections in ALFALFA by Hayley Roberts, Jeremy Darling, Kelley M. Hess, Andrew J. Baker, Elizabeth A. K. Adams, Helga Dénes

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