Lithological Interface Detection Using an Impact Source by Xu Jian, Hongtao Li, Gao Li, Pan Fang, Xu Yang, Wei Qiao

“…An impact source equipped with the advantage of long detection distances can recognize lithological interfaces. …”
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The Eyes: A Source of Information for Detecting Deepfakes by Elisabeth Tchaptchet, Elie Fute Tagne, Jaime Acosta, Danda B. Rawat, Charles Kamhoua

“…And our experimental results on the CelebA dataset and images generated by ProGAN also demonstrated that our algorithm achieved a detection accuracy of 0.870 and a sensitivity of 0.901. …”
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Compact Source Detection in Multichannel Microwave Surveys: From SZ Clusters to Polarized Sources by Diego Herranz, Francisco Argüeso, Pedro Carvalho

“…We describe the state-of-the art status of multifrequency detection techniques for compact sources in microwave astronomy. …”
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Recent Advances and Perspectives on the Sources and Detection of Antibiotics in Aquatic Environments by Yanbo Zeng, Fengqin Chang, Qi Liu, Lizeng Duan, Donglin Li, Hucai Zhang

“…Additionally, the comprehensive quality evaluation of various detection methods, including the linear detection range, detection limit (LOD), and recovery rate, is discussed, and the future of this research field is also prospected.…”
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Astronomical Pointlike Source Detection via Deep Feature Matching by Ma Long, Xin Jiarong, Du Jiangbin, Zhao Jiayao, Wang Xiaotian, Zhang Yu

“…This study introduces PSDetNet, an innovative deep neural network tailored for the autonomous detection of pointlike astronomical sources by leveraging feature-matching techniques. …”
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How Much is the Source Mismatch an Important Problem for Deepfake Detection? by Antoine Mallet, Rémi Cogranne, Minoru Kuribayashi, Arthur Méreur

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The First Photometric Evidence of a Transient/Variable Source at z > 5 with JWST by Christa DeCoursey, Eiichi Egami, Fengwu Sun, Arshia Akhtarkavan, Rachana Bhatawdekar, Andrew J. Bunker, David A. Coulter, Michael Engesser, Ori D. Fox, Sebastian Gomez, Kohei Inayoshi, Benjamin D. Johnson, Mitchell Karmen, Conor Larison, Xiaojing Lin, Jianwei Lyu, Seppo Mattila, Takashi J. Moriya, Justin D. R. Pierel, Dávid Puskás, Armin Rest, George H. Rieke, Brant Robertson, Sepehr Salamat, Louis-Gregory Strolger, Sandro Tacchella, Christian Vassallo, Christina C. Williams, Yossef Zenati, Junyu Zhang

Subjects: “…Transient detection…”
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Voxel-based vegetation change detection using multi-source data by D. Acharya, B. Gorte, M. Zhang, D. Yang, W. Shi, S. Zlatanova, S. Zlatanova, M. Wachowicz

“…Other historical data sources, such as 2D shapefiles might also be available, however, the use of multi-source data presents challenges for vegetation change detection. …”
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Feature dependence graph based source code loophole detection method by Hongyu YANG, Haiyun YANG, Liang ZHANG, Xiang CHENG

Subjects: “…source code…”
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Feature dependence graph based source code loophole detection method by Hongyu YANG, Haiyun YANG, Liang ZHANG, Xiang CHENG

Subjects: “…source code;loophole detection;semantic information;dependence graph;neural network…”
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Detecting sources of anger in automated driving: driving-related and external factor by Jordan Maillant, Jordan Maillant, Christophe Jallais, Stéphanie Dabic

Subjects: “…anger sources…”
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Microplastics in aquatic ecosystems: Detection, source tracing, and sustainable management strategies by Baihui Wu, Haiyang Yu, Pengyu Lei, Jiaxuan He, Jia Yi, Wei Wu, Hanbing Wang, Qinsi Yang, Guoming Zeng, Da Sun

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NSDLib: A comprehensive python library for network source detection and evaluation by Damian Frąszczak, Edyta Frąszczak

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Sources, distribution, behavior, and detection techniques of microplastics in soil: A review by Yu-chen Yan, Zhong-fang Yang

“…This paper reviews the latest research progress in terms of the source, content and distribution characteristics, harm, and detection technology of soil microplastics by referring to the relevant literature on soil microplastics worldwide. …”
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Face morphing detection in the presence of printing/scanning and heterogeneous image sources by Matteo Ferrara, Annalisa Franco, Davide Maltoni

“…Despite the good performance obtained by state‐of‐the‐art approaches on digital images, no satisfactory solutions have been identified so far to deal with cross‐database testing and printed‐scanned images (typically used in many countries for document issuing).To solve this problem, the authors propose new approaches to train Deep Neural Networks for morphing attack detection: in particular the generation of simulated printed‐scanned images together with other data augmentation strategies and pre‐training on large face recognition datasets, allowed reaching state‐of‐the‐art accuracy on challenging datasets from heterogeneous image sources.…”
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The Impact of Polarized Extragalactic Radio Sources on the Detection of CMB Anisotropies in Polarization by Marco Tucci, Luigi Toffolatti

“…Recent polarimetric surveys of extragalactic radio sources (ERS) at frequencies  ν≳1 GHz are reviewed. …”
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Strong Directional Source Effect and Coping Strategy in Passive Data Detection by Yuefeng Yan, Shaodong Jing, Jiao Wang, Xuedong Ma, Xiaozhong Liu, Xu Zhang, Liu Liu, Wei Fang

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Electromagnetic target detection model for unmanned aerial vehicle platforms based on Bayesian detection by DENG Wenjie, CHEN Song, WU Di, LIU Kaiyue, XU Ziliang, HE Runze

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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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Go Source Code Vulnerability Detection Method Based on Graph Neural Network by Lisha Yuan, Yong Fang, Qiang Zhang, Zhonglin Liu, Yijia Xu

“…With the widespread application of the Go language, the demand for vulnerability detection in Go programs is increasing. Existing detection models and methods have deficiencies in extracting source code features of Go programs and mainly focus on detecting concurrency vulnerabilities. …”
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