A Bio-Inspired Visual Network That Fuses Motion and Contrast Features for Detecting Small Moving Objects in Dynamic Complex Environments by Jun Ling, Hecheng Meng, Deming Gong

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Sewer Cleaning Robot: A Visually Assisted Cleaning Robot for Sewers by Bo Xiong, Lei Zhang, Zhaoyang Cai

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Fusing Gradient, Intensity Accumulation, and Region Contrast for Robust Infrared Dim-Small Target Detection by Liqi Liu, Rongguo Zhang, Xinyue Ni, Liyuan Li, Xiaofeng Su, Fansheng Chen

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COMPARATIVE ANALYSIS OF STANDARD AND ENHANCED SWARM INTELLIGENT DEEP BELIEF NETWORK ON MAIZE DISEASE DETECTION by Kehinde Sotonwa, Adebisi Oluwatosin, Adesesan Adeyemo, Micheal Adenibuyan

“…Deep Belief Network (DBN) and some other Artificial Neural Network (ANN) have been used for the detection and classification of diseases in plant but have been known for over-fitting problem. …”
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A comparative study on the detection and localization of interictal epileptiform discharges in magnetoencephalography using optically pumped magnetometers versus superconducting quantum interference devices by Jiechuan Ren, Ming Ding, Yuming Peng, Chang Sun, Chunqing Yang, Shuxian Zhou, Jiayin Tian, Qun Wang, Zhimei Li

“…This study aims to explore the consistency of interictal epileptiform discharge (IED) detection and source localization between OPM-MEG and SQUID-MEG in a large cohort of patients with epilepsy. …”
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Multi-Dimensional Anomaly Detection and Fault Localization in Microservice Architectures: A Dual-Channel Deep Learning Approach with Causal Inference for Intelligent Sensing by Suchuan Xing, Yihan Wang, Wenhe Liu

Subjects: “…anomaly detection…”
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Hybrid Artificial-Intelligence-Based System for Unmanned Aerial Vehicle Detection, Localization, and Tracking Using Software-Defined Radio and Computer Vision Techniques by Pablo López-Muñoz, Luis Gimeno San Frutos, Christian Abarca, Francisco José Alegre, Jose Luis Calle, Jose F. Monserrat

“…Experimental results demonstrate high detection accuracy, a significant reduction in false positives for both methods, and remarkable effectiveness in UAV localization and tracking with the PTZ camera. …”
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Comparative study of multiple algorithms classification for land use and land cover change detection and its impact on local climate of Mardan District, Pakistan by Farnaz, Narissara Nuthammachot, Muhammad Zeeshan Ali

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A hybrid hierarchical health monitoring solution for autonomous detection, localization and quantification of damage in composite wind turbine blades for tinyML applications by Nikhil Holsamudrkar, Shirsendu Sikdar, Akshay Prakash Kalgutkar, Sauvik Banerjee, Rakesh Mishra

“…Further, Damage detection and localization are challenging in curved composites due to their anisotropic nature, edge reflections, and generation of higher harmonics. …”
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Model updating method for detect and localize structural damage using generalized flexibility matrix and improved grey wolf optimizer algorithm (I-GWO) by Sina Sadraei, Majid Gholhaki, Omid Rezaifar

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High-Impedance Fault Detection in Electric Power Distribution Network Using Local Pattern Transformation Methods and Bidirectional Long Short–Term Memory by Rini Varghese P, M. S. P. Subathra, S. Thomas George, Geno Peter, Albert Alexander Stonier, Sairamya N, Ananthi A, Vivekananda Ganji

“…The paper analyses current signals from radial and mesh distribution networks and features extracted during HIF and non-HIF conditions by using the local binary pattern (LBP), local neighbor gradient pattern (LNGP), local neighbor descriptive pattern (LNDP), and local gradient pattern (LGP). …”
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RHCrackNet: Refined Hierarchical Feature Fusion and Enhancement Network for Pixel-Level Pavement Anomaly Detection by Wenjing Liu, Zhenhua Li, Ji Wang, Qingjie Lu

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Room Security System with Face Recognition using Local Binary Pattern Histogram Algorithm based on the Internet of Things by Turkhamun Adi Kurniawan, Istiqomah Sumadikarta, Sukarno Bahat Nauli, Faizal Zuli, Teguh Budi Santoso, Muhammad Roufiqi Desma

“…An Internet of Things-based security system and OpenCV technology have been developed to improve the efficiency and ease of monitoring video footage from CCTV. The face detection process is carried out using the Haar Cascade method, while facial recognition is carried out using the Local Binary Pattern Histogram algorithm. …”
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A Low Computational Cost Deep Learning Approach for Localization and Classification of Diseases and Pests in Coffee Leaves by Clecio Elias Silva E. Silva, Jonatan Borges Fragoso, Thuanne Paixao, Ana Beatriz Alvarez, Facundo Palomino-Quispe

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LiDAR-Based Optimized Normal Distribution Transform Localization on 3-D Map for Autonomous Navigation by Abhishek Thakur, P. Rajalakshmi

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Cellular-local Algorithm for Localizing and Estimating Changes in Binary Images by A. A. Korotkin, A. A. Maksimov

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Anomaly detection using unsupervised machine learning algorithms: A simulation study by Edmund Fosu Agyemang

Subjects: “…Anomaly detection…”
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A Review on Current Technologies and Future Direction of Water Leakage Detection in Water Distribution Network by Mohammed Rezwanul Islam, Sami Azam, Bharanidharan Shanmugam, Deepika Mathur

Subjects: “…Leakage detection…”
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Three-component detection technology of down-hole TEM for hidden geological anomalies in coal mines by Xiaowei GAO

“…Both theoretical models and experimental data show that the borehole transient electromagnetic three-component anomaly localization technique is an effective method for detecting geological anomalies around boreholes in coal mines.…”
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Detection of Steel Reinforcement in Concrete Using Active Microwave Thermography and Neural Network-Based Analysis by Barbara Szymanik, Maja Kocoń, Sam Ang Keo, Franck Brachelet, Didier Defer

“…This study explores the combined use of active microwave thermography and deep learning to detect and localize steel reinforcement within concrete elements. …”
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