Robust Resilience Blocks Detection Problem in Dynamic Social Networks by Yuxin Gao, Jianming Zhu, Peikun Ni, Guoqing Wang

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Pitot Tube-Based Icing Detection: Effect of Ice Blocking on Pressure by Xianglian Lv, Jie Guan, Shengkun Wang, Haiyang Zhang, Shijie Xue, Qi Tang, Yang He

“…Toward this end, a pitot-based icing detection method is proposed, and the effect of different types of icing blocking on pressure is firstly reported. …”
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Object detection in high resolution images based on multiscale and block processing by R. P. Bohush, I. Yu. Zakharava, S. V. Ablameyko

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Utilize Data Augmentation and Flexi Corner Block for Road Damage Detection by Zhaohui Wu, Runjing Zhao, Xingliang Sun, Zhaojia Li

“…The Weather Trim Augment module leverages stable diffusion to generate weather-specific road damage datasets by adjusting prompt words and parameters, ensuring crack location and type remain unchanged, thus improving detection under various weather conditions. The Flexi Corner Block module enhances road damage detection by combining deformable convolutions with lightweight MLP and Learnable Local Attention, improving feature learning in corner areas. …”
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Generalized Likelihood Block Detection for SPAD-Based Underwater VLC System by Ya-Wei Ji, Guo-Feng Wu, Chao Wang

“…In this paper, the generalized likelihood block detection (GLBD) receiver is developed for practical SPAD-based underwater VLC system with on–off keying modulation. …”
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Tomato ripeness detection method based on FasterNet block and attention mechanism by Ming Chen, Yixuan Xu, Wanxiang Qin, Yan Li, Jiyang Yu

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Ta-YOLO: overcoming target blocked challenges in greenhouse tomato detection and counting by Yun Zhao, Yijia Chen, Xing Xu, Yong He, Hao Gan, Na Wu, Zhechen Wang, Xi Sun, Yali Wang, Petr Skobelev, Yanan Mi

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Integrating Explanations into CNNs by Adopting Spiking Attention Block for Skin Cancer Detection by Inzamam Mashood Nasir, Sara Tehsin, Robertas Damaševičius, Rytis Maskeliūnas

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Blind detection of orthogonal space-time block coding based on ICA schemes by GU Bo1, LIU Ju1, XU Hong-ji1

“…Two new schemes were proposed based on ICA blind detection by exploiting the orthogonality of OSTBC. …”
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Single-Tubed Wild-Type Blocking Quantitative PCR Detection Assay for the Sensitive Detection of Codon 12 and 13 KRAS Mutations. by Jun-Fu Huang, Dong-Zhu Zeng, Guang-Jie Duan, Yan Shi, Guo-Hong Deng, Han Xia, Han-Qing Xu, Na Zhao, Wei-Ling Fu, Qing Huang

“…Using DNA extracted by TrimGen kits as a template for tumor genotyping, a real-time wild-type blocking PCR (WTB-PCR) assay was subsequently developed to detect the aforementioned KRAS mutations in mCRC patients. …”
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Rare allele enrichment and detection by allele-specific PCR, competitive probe blocking and melting analysis by Luming Zhou, Ying Wang, Carl T. Wittwer

“…Protocol Summary We have combined allele-specific PCR, competitive probe blocking, asymmetric PCR, and melting analysis to enhance rare allele detection in a homogeneous system. …”
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JPEG recapture image tamper detection method based on block effect grid offset by Wei HUANG, Tian-qiang HUANG, Xue-li ZHANG, Hui XIAO

“…Recaptured images are captured original or distorted image shown on the intermediaries,a high-quality recapture image is difficult to distinguish the authenticity of the human eye.Aimed at the tampering operation of JPEG image,a method of detecting block effect grid offset due to re-compression was proposed.The original image was compressed multiple times did not produce the block effect of the grid offset,and the recapture image,because of the recapture process would introduce background information that was not related to the original image,the re-compression of the block effect grid with the original grid is mismatched,and the average information loss amount of the image was used to detect whether the block effect grid generates an offset or not to detect the recapture image.Experiments show that this method is more accurate than the existing recapture image detection method,and the average detection time is shorter.…”
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A Block Object Detection Method Based on Feature Fusion Networks for Autonomous Vehicles by Qiao Meng, Huansheng Song, Gang Li, Yu’an Zhang, Xiangqing Zhang

“…Moreover, the image pyramid is built to project all the blocks detection results at the original objects size as much as possible. …”
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On the Design of Near-Optimal Generalized Block-Based Spatial Modulation With Low Detection Complexity by Yen-Ming Chen, Wei-Lun Lin, Heng Lee, Tsung-Lin Chen

“…However, independently designing the constellation cardinality and TACs leads to limited performance gains and an exponential increase in complexity, particularly under maximum-likelihood (ML) detection. To address these limitations, the generalized block-based spatial modulation (GBSM) scheme was proposed, enabling greater flexibility by jointly designing GSM signals across a block of time indices. …”
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Role of Doppler ultrasound for the detection of ventral drug spread during cervical retrolaminar block by Amarjeet Kumar, Chandni Sinha, Ajeet Kumar, Poonam Kumari

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Block-chain abnormal transaction detection method based on adaptive multi-feature fusion by Huijuan ZHU, Jinfu CHEN, Zhiyuan LI, Shangnan YIN

Subjects: “…block-chain;residual network;abnormal detection;Logistic regression…”
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USING THE ADAPTED DLP SYSTEM FOR BLOCKING INFORMATION LEAKS by T. A. Andryianava, S. B. Salomatin

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Application of Message Compliance Detection and Intrusion Blocking Technology in Remote Operation and Maintenance System of Relay Protection by Jiang YU, Honghui GAO, Zebing SHI, Weiwei JIANG, Fangying WU, Qingcai ZHAN, Rui ZHANG

“…Therefore, a message compliance detection method and intrusion blocking technology have been proposed. …”
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Destabilized green fluorescent protein detects rapid removal of transcription blocks after genotoxic exposure by Nataliya Kitsera, Andriy Khobta, Bernd Epe

“…High stabilities of reporter proteins and their messenger RNAs (mRNAs) interfere with the detection of rapid transient changes in gene expression, such as transcriptional blocks posed by genotoxic DNA lesions. …”
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Local Sub-Block Contrast and Spatial–Spectral Gradient Feature Fusion for Hyperspectral Anomaly Detection by Dong Zhao, Xingchen Xu, Mingtao You, Pattathal V. Arun, Zhe Zhao, Jiahong Ren, Li Wu, Huixin Zhou

“…To effectively detect low-contrast targets, we introduce a novel local sub-block ratio-multiply contrast method that enhances anomalous regions while suppressing the background. …”
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