Classification of SD-OCT Volumes Using Local Binary Patterns: Experimental Validation for DME Detection by Guillaume Lemaître, Mojdeh Rastgoo, Joan Massich, Carol Y. Cheung, Tien Y. Wong, Ecosse Lamoureux, Dan Milea, Fabrice Mériaudeau, Désiré Sidibé

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BengalDeltaFish: A local dataset for fish detection in Bangladeshi marketsMendeley Data by Sabrina Alim Dipa, Arjun Pal, Md. Shoaib Shahria, Md. Delwar Shahadat Deepu, Raiyan Rahman

“…The dataset contains 33 different fish species commonly found in local markets, including rare species that are not widely available in existing datasets. …”
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A New Transmissibility Based Indicator of Local Variation in Structure and Its Application for Damage Detection by X. Z. Li, Z. K. Peng, X. J. Dong, W. M. Zhang, G. Meng

“…In the study, a novel method is developed to detect and locate the local variation in stiffness and damping for structures based on transmissibility. …”
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Dim and Small Target Detection Based on Local Feature Prior and Tensor Train Nuclear Norm by Anqing Wu, Xiangsuo Fan, Lei Min, Wenlin Qin, Ling Yu

“…To solve the above problems, we propose an infrared dim and small target detection method that combines local feature prior and tensor train nuclear norm (TTNN). …”
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L-Sort: On-Chip Spike Sorting With Efficient Median-of-Median Detection and Localization-Based Clustering by Yuntao Han, Yihan Pan, Xiongfei Jiang, Cristian Sestito, Shady Agwa, Themis Prodromakis, Shiwei Wang

“…This paper introduces L-Sort, a novel on-chip spike sorting solution featuring median-of-median spike detection and localization-based clustering. By combining the median-of-median approximation and the proposed incremental median calculation scheme, our detection module achieves a reduction in memory consumption. …”
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How likely are you to observe non-locality with imperfect detection efficiency and random measurement settings? by Paweł Cieśliński, Tamás Vértesi, Mateusz Kowalczyk, Wiesław Laskowski

Subjects: “…Bell non-locality…”
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Real-time and resource-efficient banana bunch detection and localization with YOLO-BRFB on edge devices by Shuo Wang, Shuo Wang, Shuo Wang, Lijiao Wei, Danran Zhang, Danran Zhang, Ling Chen, Ling Chen, Weihua Huang, Dongjie Du, Kangmin Lin, Zhenhui Zheng, Zhenhui Zheng, Zhenhui Zheng, Jieli Duan

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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

“…However, they often overlook the spatial–spectral gradient information inherent in hyperspectral images, which can lead to decreased detection accuracy. To address this limitation, we propose a novel hyperspectral anomaly detection algorithm that incorporates both local sub-block contrast and spatial–spectral gradient features. …”
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Enhancing Fault Detection and Localization in MT-MVDC Networks Using Advanced Singular Spectrum Analysis by Hossam Sabra, Amr Kassem, Ahmed A. A. Ali, Karam M. Abdel-Latif, Ahmed F. Zobaa

“…This paper presents a novel methodology for fault detection, classification, and localization in Multi-Terminal Medium Voltage Direct Current (MT-MVDC) networks. …”
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Design and Prototype of a Local Relay Fault Detection System for Three Phase Power Lines. by Lutaama, Samuel

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Hardware-Accelerated Infrared Small Target Recognition Based on Energy-Weighted Local Uncertainty Measure by Xiaoqing Wang, Zhantao Zhang, Yujie Jiang, Kuanhao Liu, Yafei Li, Xuri Yao, Zixu Huang, Wei Zheng, Jingqi Zhang, Fu Zheng

“…In this paper, an uncertainty measurement method based on local component consistency is proposed to suppress the complex background and highlight the detection target. …”
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Accurate and Robust Train Localization: Fusing Degeneracy-Aware LiDAR-Inertial Odometry and Visual Landmark Correction by Lin Yue, Peng Wang, Jinchao Mu, Chen Cai, Dingyi Wang, Hao Ren

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Third Ventricle Width Measurements Based on YOLO and Localized Intensity Features by Xiao Zhou, Ao Wan, Xingang Mou, Hongling Gao, Zheng Xue

“…Firstly, to solve the problem of third ventricle detection in the complex background of TCS images, the YOLO-TV improvement model is proposed to improve the detection accuracy. …”
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Resonant Polysilicon Antenna for Terahertz Detection by Ze Shen, Xiaoli Ji, Yiming Liao, Ke Wang, Biaobing Jin, Feng Yan

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Bacteriological Quality Assessment of Kilishi Produced in Kunchi Local Government Area, Kano State, Nigeria by Dahiru A. T., Maigari A. K.

“…This study was aimed at determining the microbiological quality of Kilishi in Kunchi Local Government Area, being one of the well-known Kilishi production town in Kano State. …”
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Survey on community detection method based on random walk by Yang GAO, Hongli ZHANG

Subjects: “…local community detection…”
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Unsupervised SAR Image Change Detection Based on Curvelet Fusion and Local Patch Similarity Information Clustering by Yuhao Huang, Zhihui Xin, Guisheng Liao, Penghui Huang, Guangyu Hou, Rui Zou

“…To this end, we propose a novel unsupervised change detection method based on curvelet fusion and local patch similarity information clustering (CF-LPSICM). …”
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Local Dynamic Stability of Trunk During Gait Can Detect Dynamic Imbalance in Subjects with Episodic Migraine by Stefano Filippo Castiglia, Gabriele Sebastianelli, Chiara Abagnale, Francesco Casillo, Dante Trabassi, Cherubino Di Lorenzo, Lucia Ziccardi, Vincenzo Parisi, Antonio Di Renzo, Roberto De Icco, Cristina Tassorelli, Mariano Serrao, Gianluca Coppola

“…We aimed to assess the ability of largest Lyapunov’s exponent for a short time series (sLLE), which reflects the ability to cope with internal perturbations during gait, to detect differences in local dynamic stability between individuals with migraine without aura (MO) with an episodic pattern between attacks and healthy subjects (HS). …”
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Real-time detection and localization of honeycomb defects in concrete pillars using hybrid deep learning models by Sourav Kumar Das, Biswarup Yogi, Raj Majumdar, Pritha Ghosh, Satyabrata Roy

“…The approach combines the fast object detection feature of YOLOv5 with the precise instance segmentation feature of Mask R-CNN to effectively resolve and localize defect areas in structural images. …”
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Abnormal event detection based on local topology and l_1/2norm regularize by Qing YU, Ken CHEN, Meng LI, Fei LI

“…A new dictionary learning method was proposed by introducing a local topology term to describe structural information of video events and using the l_1/2norm as the sparsity constraint to the representation coefficients based on the traditional analysis dictionary learning method.In feature extraction,a histogram of interaction force(HOIF) containing rich motion information and a histogram of oriented gradient(HOG) containing texture information were merged.Then,the improved dictionary was used to train the feature data.Finally,the reconstruction error of the testing sample under the dictionary was used to determine whether the testing sample was an abnormal sample.Experiments on UMN show the high performance of the algorithm.Compared with the state-of-the-art algorithms,the analysis dictionary classification algorithm based on local topology and l_1/2norm has made more effective detection on the abnormal events in the crowd.…”
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