Using Sensor Network in Motion Detection Based on Deep Full Convolutional Network Model by Qichang Xu

“…Aiming at the shortcomings of traditional moving target detection methods in complex scenes such as low detection accuracy and high complexity, and not considering the overall structure information of the video frame image, this paper proposes a moving-target detection based on sensor network. …”
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Dual Fine-Grained network with frequency Transformer for change detection on remote sensing images by Zhen Li, Zhenxin Zhang, Mengmeng Li, Liqiang Zhang, Xueli Peng, Rixing He, Leidong Shi

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NeuroSight: A Deep‐Learning Integrated Efficient Approach to Brain Tumor Detection by Shafayat Bin Shabbir Mugdha, Mahtab Uddin

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ASD-YOLO: a lightweight network for coffee fruit ripening detection in complex scenarios by Baofeng Ye, Baofeng Ye, Renzheng Xue, Renzheng Xue, Haiqiang Xu, Haiqiang Xu

Subjects: “…object detection…”
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Molecular detection of Babesia canis vogeli and Hepatozoon canis in dogs in the department of Magdalena (Colombia) by Thomas R. S., A. M. Santodomingo, L. R. Castro

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Transformer-Based Person Detection in Paired RGB-T Aerial Images With VTSaR Dataset by Xiangqing Zhang, Yan Feng, Nan Wang, Guohua Lu, Shaohui Mei

Subjects: “…Aerial-based person detection…”
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Functional Movement Screen Detected Asymmetry & Normative Values Among College-Aged Students by Craig R Triplett, Bryan S Dorrel, Matthew L Symonds, Corey A Selland, Daniel D Jensen, Christopher N Poole

“…In addition, participants without FMS™-detected asymmetries played significantly more seasons and more sports than their peers that presented asymmetries (U = 946.5, z = -1.98, p = 0.047). …”
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Evaluating YOLOv5s and YOLOv8s for Kitchen Fire Detection: A Comparative Analysis by Norisza Dalila Ismail, Rizauddin Ramli, Mohd Nizam Ab Rahman

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Mt or not Mt: Temporal variation in detection probability in spatial capture-recapture and occupancy models by Sollmann, Rahel

“…Accounting for imperfect and variable detection is important for obtaining unbiased estimates of state variables. …”
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Texture Detection of Aluminum Foil Based on Top-Hat Transformation and Connected Region Segmentation by Fei He, Yuxing Hu, Jian Wang

“…A new method of texture detection for aluminum foil based on digital image processing technology is proposed. …”
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Enhancing voice spoofing detection in noisy environments using frequency feature masking augmentation by Soyul Han, Jaejin Seo, Sunmook Choi, Taein Kang, Sanghyeok Chung, Seungeun Lee, Seoyoung Park, Seungsang Oh, Il-Youp Kwak

Subjects: “…Voice spoofing detection…”
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Usage of Modified Holt-Winters Method in the Anomaly Detection of Network Traffic: Case Studies by Maciej Szmit, Anna Szmit

“…This paper is devoted to the application of extended versions of these models for development of predicted templates and intruder detection.…”
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Optimal Dual RNA-Seq Mapping for Accurate Pathogen Detection in Complex Eukaryotic Hosts by Infanta Eden M., Umashankar Vetrivel

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Ultra-wideband (UWB) antennas for breast cancer detection with microwave imaging: A review by Tale Saeidi, Sarmad Nozad Mahmood, Sahar Saleh, Nick Timmons, Ahmed Jamal Abdullah Al-Gburi, Faroq Razzaz

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Improving wet-laboratory procedures toward ancient epigenome characterization and ancient pathogens detection by Andaine Seguin-Orlando, Pierre Clavel, Ludovic Orlando

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Structural Damage Detection under Short Time Load Using Cascade-Forward Network by Seyed Sina Kourehli

“…Damage identification in structures is one of the most important problems in structural engineering because early damage detection prevents a catastrophic event in structures. …”
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Single-Frame Infrared Small Target Detection Network Based on Multibranch Feature Aggregation by Ziqiang Hao, Zheng Jiang, Xiaoyu Xu, Zhuohao Wang, Zhicheng Sun

Subjects: “…infrared small target detection (ISTD)…”
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Drone Video Anomaly Detection by Future Segmentation Prediction and Spatio- Temporal Relational Modeling by Ahmed Fakhry, Janghoon Lee, Jong Taek Lee

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Deep learning solutions for inverse problems in advanced biomedical image analysis on disease detection by Amal Alshardan, Hany Mahgoub, Nuha Alruwais, Abdulbasit A. Darem, Wafa Sulaiman Almukadi, Abdullah Mohamed

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Vision transformers for automated detection of diabetic peripheral neuropathy in corneal confocal microscopy images by Chaima Ben Rabah, Ioannis N. Petropoulos, Rayaz A. Malik, Ahmed Serag

“…Early detection and management of diabetic peripheral neuropathy (DPN) are critical to reducing associated morbidity and mortality. …”
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