Smartphone-Based Sensing System for Identifying Artificially Marbled Beef Using Texture and Color Analysis to Enhance Food Safety by Hong-Dar Lin, Yi-Ting Hsieh, Chou-Hsien Lin

Subjects: “…artificially marbled beef detection…”
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Moving Object Detection for Video Surveillance by K. Kalirajan, M. Sudha

“…In this paper, a novel approach of object detection for video surveillance is presented. The proposed algorithm consists of various steps including video compression, object detection, and object localization. …”
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Microarray Core Detection by Geometric Restoration by Jimmy C. Azar, Christer Busch, Ingrid B. Carlbom

“…In this paper, we present a completely automated method for the accurate detection and localization of tissue cores that is based on geometric restoration of the core shapes without placing any assumptions on grid geometry. …”
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Fragile watermarking technique for detecting image by Yu-hong CHANG, Hui-fen HUANG, Zhi-hong WANG

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Driving Detection Based on the Multifeature Fusion by Qiufen Yang, Yan Lu

“…In order to solve the problems of facial feature localization and driver fatigue state identification methods in driving fatigue detection, a driving detection method based on the multifeature fusion was proposed. …”
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Workflow Detection with Improved Phase Discriminability by ZHANG, M., HU, H., LI, Z.

“…Workflow detection is a challenge issue in the process of Industry 4.0, which plays a crucial role in intelligent production. …”
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An Automatic Method for Interest Point Detection by I. G. Zubov

“…This method allows localization of interest points by analysing the inner layers of convolutional neural networks trained for the classification of images and detection of objects in an image. …”
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A Two-Stage Corrosion Defect Detection Method for Substation Equipment Based on Object Detection and Semantic Segmentation by Zhigao Wang, Xinsheng Lan, Yong Zhou, Fangqiang Wang, Mei Wang, Yang Chen, Guoliang Zhou, Qing Hu

“…This study presents a two-stage detection approach that combines YOLOv8 and DDRNet to achieve real-time and precise corrosion area localization. …”
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Multi-Scale Crack Detection and Quantification of Concrete Bridges Based on Aerial Photography and Improved Object Detection Network by Liming Zhou, Haowen Jia, Shang Jiang, Fei Xu, Hao Tang, Chao Xiang, Guoqing Wang, Hemin Zheng, Lingkun Chen

“…This method enables automatic crack detection, quantification, and localization in a 3D model, generating a bridge model that includes crack details and distribution. …”
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Ag‐Cu Nanoarchitecture for Enhanced LSPR Absorption: the Role of Surface Roughness and near‐field Interactions by Sanjay Kumar, Pavel Curda, Hana Maskova, Lenka Doudová, Pavel Pleskunov, Anna Kuzminova, Libor Hejduk, Jan Sterba, Ondřej Kylián, Ryan O. M. Rego, Vitezslav Stranak

Subjects: “…enhanced detection…”
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A Local Discrete Feature Histogram for Point Cloud Feature Representation by Linjing Jia, Cong Li, Guan Xi, Xuelian Liu, Da Xie, Chunyang Wang

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Local Classification Guiding Attention for <italic>Malania Oleifera</italic> Recognition by Yongke Sun, Yong Cao, Weili Kou, Chunjiang Yu, Ning Lu, Yi Yang, Lei Liu, Juan Wang

“…The method utilizes a Local Classification Guiding (LCG) attention mechanism and a pixel-based intersection over union (PIoU) loss function to improve the detection performance. …”
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Hybrid neural network method for damage localization in structural health monitoring by Fatahlla Moreh, Yusuf Hasan, Zarghaam Haider Rizvi, Sven Tomforde, Frank Wuttke

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Current status and outlook of UWB radar personnel localization for mine rescue by ZHENG Xuezhao, MA Jiawen, HUANG Yuan, LI Qiang, REN Jing, LIU Yu

“…Ultra-Wide Band (UWB) radar exhibits strong penetration capability and high resolution, enabling the detection and localization of trapped personnel behind coal-rock collapses in mine disasters. …”
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Vision-Based Localization Method for Picking Points in Tea-Harvesting Robots by Jingwen Yang, Xin Li, Xin Wang, Leiyang Fu, Shaowen Li

“…In the far-view test set, the detection accuracy of tea buds reached 80.8%; for the near-view test set, the mAP_0.5 values for tea stem detection in bounding boxes and masks reached 93.6% and 93.7%, respectively, showing improvements of 9.1% and 14.1% over the baseline model. …”
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ASVBM: Structural variant benchmarking with local joint analysis for multiple callsets by Peizheng Mu, Xiangyan Feng, Lanxin Tong, Jie Huang, Chaoqun Zhu, Fei Wang, Wei Quan, Yuanjun Ma, Yucui Dong, Xiao Zhu

“…Accurate benchmarking of structural variant (SV) detection is essential for advancing the development and application of human whole-genome sequencing (WGS). …”
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Optimization Algorithms for Cable Fault Localization and Assessment in Smart Power Systems by Wenxuan Wang, Yali Shi, Minghui Liu

“…Frequency domain reflection (FDR) has good detection and localization ability for defects or faults with weak impedance changes, and has been widely used in the field of cable fault diagnosis, however, in recent years, field experience has shown that this method cannot solve the problem of judging the fault type and severity yet. …”
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Evaluation of nanoparticle fabrication for improved localized surface plasmon resonance response by Mcoyi Michael, Mpofu Kelvin, Lugongolo Masixole, Williamson Carolyn, Ombinda-Lemboumba Saturnin, Mthunzi-Kufa Patience

“…In biosensing, light interacting with nanoparticles produces a collective oscillation of electrons known as the localized surface plasmon resonance (LSPR). However, noble nanoparticles in LSPR-based biosensors have limitations including The limit of detection and sensitivity remain the two major challenges. …”
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Functional brain networks develop from a "local to distributed" organization. by Damien A Fair, Alexander L Cohen, Jonathan D Power, Nico U F Dosenbach, Jessica A Church, Francis M Miezin, Bradley L Schlaggar, Steven E Petersen

“…We argue that this "local to distributed" developmental characterization has important implications for understanding the development of neural systems underlying cognition. …”
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Peritoneal Carcinomatosis in Patients with Locally Advanced Colon Cancer: Literature Review by S. Yu. Trishchenkov, O. V. Levina, V. M. Nekoval, V. V. Balaban, P. V. Tsarkov

“…Aim: to analyse and systematise available literature data on the diagnosis and treatment of patients with locally advanced colon cancer with peritoneal carcinomatosis.Key points. …”
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