A Comprehensive Investigation of Anomaly Detection Methods in Deep Learning and Machine Learning: 2019–2023 by Shalini Kumari, Chander Prabha, Asif Karim, Md. Mehedi Hassan, Sami Azam

“…Further, research is needed to create robust, efficient techniques that generalize datasets and detect anomalies in complex industrial images. …”
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The development of an intelligent comprehensive detection instrument for circuit breakers in power systems and its key technologies by Weimin Guan, Han Hu, Chao Sun, Jie Ji

“…Experimental results demonstrate that the intelligent detection instrument outperforms existing methods in terms of accuracy, detection efficiency, and anti-interference capabilities. …”
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Real-Time Vehicle Detection Using Cross-Correlation and 2D-DWT for Feature Extraction by Abdelmoghit Zaarane, Ibtissam Slimani, Abdellatif Hamdoun, Issam Atouf

“…Nowadays, real-time vehicle detection is one of the biggest challenges in driver-assistance systems due to the complex environment and the diverse types of vehicles. …”
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FEVT-SAR: Multicategory Oriented SAR Ship Detection Based on Feature Enhancement Vision Transformer by Minding Fang, Yu Gu, Dongliang Peng

“…Issues such as complex noise interference and the long-tail distribution of data present many challenges to the multicategory ship detection task in synthetic aperture radar (SAR) images. …”
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Attomolar electrochemical direct and sandwich immunoassays for the ultrasensitive detection of tomato brown rugose fruit virus by Negin Rezaei, Ahmad Moshaii, Mohammad Reza Safarnejad, Reza H. Sajedi, Mahsa Rahmanipour, Masoud Shams-Bakhsh

“…Electrochemical characterization confirmed the successful immobilization of TBRFV-CP-IgG, its specific interaction with the recombinant coat protein of TBRFV (rp-CP-TBRFV), the subsequent binding of TBRFV-CP-IgGHRP as the detection antibody, and the formation of the complete sandwich complex. …”
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Multi-Object Recognition and Motion Detection Based on Flexible Pressure Sensor Array and Deep Learning by Hao Zhang, Yanan Tao, Kai Shi, Jiali Li, Jianjun Shi, Shaofeng Xu, Ying Guo

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A Bio-Inspired Learning Dendritic Motion Detection Framework with Direction-Selective Horizontal Cells by Tianqi Chen, Yuki Todo, Zhiyu Qiu, Yuxiao Hua, Hiroki Sugiura, Zheng Tang

“…Comparisons with state-of-the-art (SOTA) models like vision transformers (ViTs) and convolutional neural networks (CNNs) demonstrate the HCdM’s robustness and efficiency. Additionally, in contrast to previous artificial visual systems (AVSs), our findings suggest that lateral geniculate nucleus (LGN) structures, though present in biological vision, may not be essential for motion direction detection. …”
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SDRFPT-Net: A Spectral Dual-Stream Recursive Fusion Network for Multispectral Object Detection by Peida Zhou, Xiaoyong Sun, Bei Sun, Runze Guo, Zhaoyang Dang, Shaojing Su

“…Multispectral object detection faces challenges in effectively integrating complementary information from different modalities in complex environmental conditions. …”
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Facilitating laboratory automation using a robot with a simple and inexpensive camera detection system by Rebecca Wienbruch, Nicole Rupp, Ruven Dreischke, Verena Mayer, Isabell Fenske, Rebecca Bauer, Thole Zuchner

“…Abstract Laboratory automation has transformed bioanalytical research, yet smaller research laboratories face challenges in adopting such technologies due to limited resources, time, and technical expertise, while already facing complex bioanalytical methods. To address these barriers, we developed a robotic-arm-based camera detection system featuring two software applications designed to simplify laboratory automation. …”
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A novel method of BiFormer with temporal-spatial characteristics for ECG-based PVC detection by Siyuan Chen, Zhen Wang, Hao Wang, Shuai Wang, Yang Li, Yang Li, Bing Wang

“…The use of deep learning models in electrocardiogram (ECG) analysis has aided more accurate and efficient PVC identification. These models automatically extract and analyze complex signal features, providing valuable clinical decision-making support. …”
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FFT-RDNet: A Time–Frequency-Domain-Based Intrusion Detection Model for IoT Security by Bingjie Xiang, Renguang Zheng, Kunsan Zhang, Chaopeng Li, Jiachun Zheng

“…Resource-constrained Internet of Things (IoT) devices demand efficient and robust intrusion detection systems (IDSs) to counter evolving cyber threats. …”
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A cost-effective protocol for detecting fluorescent microplastics in arable soils to study redistribution processes by Saunak Sinha Ray, David Zumr, Florian Wilken, Tomáš Dostál, Peter Fiener

“…It offers potential for enhancement through advanced imaging and machine learning, enabling more efficient and accessible detection in environmental research.…”
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FCDNet: A Lightweight Network for Real-Time Wildfire Core Detection in Drone Thermal Imaging by Linfeng Wang, Oualid Doukhi, Deok Jin Lee

“…The increasing number of wildfires damage nature and human life, making the early detection of wildfires in complex outdoor environments critical. …”
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Defect R-CNN: A Novel High-Precision Method for CT Image Defect Detection by Zirou Jiang, Jintao Fu, Tianchen Zeng, Renjie Liu, Peng Cong, Jichen Miao, Yuewen Sun

“…Additionally, we introduce a custom backbone, edge-prior net (EP-Net), to capture features across multiple spatial scales, enhancing the recognition of subtle and complex defect patterns. During inference, the multi-branch structure is consolidated into a single-branch equivalent to accelerate detection without compromising accuracy. …”
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Integration of Carbon Nanotubes into Manganese Dioxide Nanorods for Enhanced Enzymeless Electrochemical Glucose Sensing with High Sensitivity and Selectivity by Khawtar Hasan Ahmed, Alonso Moreno Zuria, Mohamed Mohamedi

“…These attributes are essential for accurate glucose detection in complex biological samples. The integration of MnO₂ nanorods with CNTs in freestanding nanostructures opens up exciting opportunities for developing high-performance, robust electrochemical sensors for diverse applications.…”
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DynaOOD-Net: Dynamic Progressive Feature Fusion and Energy Balancing for Robust Out-of-Distribution Detection by Jiting Zhou, Zhihao Zhou, Pu Zhang

“…Experimental results on seven datasets demonstrate that DynaOOD-Net significantly improves the mAP for known categories and consistently outperforms existing state-of-the-art methods in unknown object detection metrics. These findings establish DynaOOD-Net as a robust and efficient solution to the challenges inherent in open-set object detection. …”
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Integrated pixel-level crack detection and quantification using an ensemble of advanced U-Net architectures by Rakshitha R, Srinath S, N Vinay Kumar, Rashmi S, Poornima B V

“…Automated pavement crack detection faces significant challenges due to the complex shapes of crack patterns, their similarity to non-crack textures, and varying environmental conditions such as lighting and noise. …”
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An MSRE-Assisted Glycerol-Enhanced RPA-CRISPR/Cas12a Method for Methylation Detection by Zhiquan Lu, Zilu Ye, Ping Li, Yike Jiang, Sanyang Han, Lan Ma

“…Conventional methylation detection methods relying on bisulfite conversion have limitations such as time-consuming, complex processes and sample degradation; thus, a more rapid and efficient method is needed. …”
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Mathematical model of evaluation of rehabilitation efficiency increase with the help of personalized rehabilitation selection technology with the help of adapted virtual environmen... by A. V. Zakharov, S. S. Chaplygin, A. V. Kolsanov

“…The obtained results can be used as a way to improve the stability and accuracy of neurocomputer interface classifiers based on the detection of complex bilateral movements.…”
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Enhancing Human Detection in Occlusion-Heavy Disaster Scenarios: A Visibility-Enhanced DINO (VE-DINO) Model with Reassembled Occlusion Dataset by Zi-An Zhao, Shidan Wang, Min-Xin Chen, Ye-Jiao Mao, Andy Chi-Ho Chan, Derek Ka-Hei Lai, Duo Wai-Chi Wong, James Chung-Wai Cheung

“…Natural disasters create complex environments where effective human detection is both critical and challenging, especially when individuals are partially occluded. …”
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