Adaptive multichannel detection-resolution of stochastic signals in conditions of parametric prior uncertainty by A. V. Filonovich, I. V. Vornacheva, N. A. Tuyakbasarova, A. S. Chernyshev

“…The purpose of the study is to improve the quality indicators of adaptive multichannel detection-resolution-measurement parameters of stochastic signals under parametric a prior uncertainty.Materials and methods. …”
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Simulation of automatic intrusion detection in university networks by using neural network algorithms by Houdun Xu

“…Using appropriate training methods and optimization algorithms, train and optimize the neural network model to achieve high accuracy and robustness. …”
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Enhancing the Sustainability of Machine Learning-Based Malware Detection Techniques for Android Applications by Seyeon Park, Hojun Lee, Daeun Kim, Hyeun Jun Moon, Seong-Je Cho, Youngsup Hwang, Hyoil Han, Kyoungwon Suh

“…Future research will explore non-machine-learning-based release year prediction methods to further optimize training efficiency and improve adaptability to the rapidly evolving malware detection landscape.…”
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Grey wolf optimization technique with U-shaped and capsule networks-A novel framework for glaucoma diagnosis by Govindharaj I, Ramesh T, Poongodai A, Senthilkumar K. P, Udayasankaran P, Ravichandran S

“…Our system addresses these difficulties through an automated glaucoma screening platform which combines advanced segmentation methods with classification approaches. A hybrid segmentation method combines Grey Wolf Optimization Algorithm with U-Shaped Networks to obtain precise extraction of the optic disc regions in retinal fundus images. …”
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Electrocardiogram Abnormality Detection Using Machine Learning on Summary Data and Biometric Features by Kennette James Basco, Alana Singh, Daniel Nasef, Christina Hartnett, Michael Ruane, Jason Tagliarino, Michael Nizich, Milan Toma

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Essay Answer Detection System Uses Cosine Similarity and Similarity Scoring in Sentences by Siti Yuliyanti, Diah Hidayatul Ula

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A lightweight deep-learning model for parasite egg detection in microscopy images by Wenbin Xu, Qiang Zhai, Jizhong Liu, Xingyu Xu, Jing Hua

“…Compared with some state-of-the-art detection methods, YAC-Net achieves the best performance in precision, F1 score, mAP_0.5, and parameters. …”
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Detecting eavesdropping nodes in the power Internet of Things based on Kolmogorov-Arnold networks. by Rong Wang, Weibin Jiang, Yanjin Shen, Qiqing Yue, Kan-Lin Hsiung

“…Traditional eavesdropping detection methods struggle to adapt to complex and dynamic attack patterns, necessitating the exploration of more intelligent and efficient anomaly localization approaches. …”
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Novel Deep Learning-Based Facial Forgery Detection for Effective Biometric Recognition by Hansoo Kim

“…This study presents a novel deep learning framework optimized for texture analysis to detect facial forgeries effectively. …”
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Quantum Edge Detection and Convolution Using Paired Transform-Based Image Representation by Artyom Grigoryan, Alexis Gomez, Sos Agaian, Karen Panetta

“…We demonstrate that our approach achieves improved processing speed compared to classical methods while maintaining comparable accuracy. The successful implementation of real-world images highlights the potential of this research for large-scale quantum image processing, architecture-specific optimizations, and applications beyond edge detection.…”
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Detection of Aflatoxin B1 in Wheat Based on Nucleic Aptamer Chemiluminescence Sensor by Zebing Zhang, Caizhang Wu, Zhike Zhao

“…The sensor possesses characteristics of low detection limits, simple manufacturing methods, and affordability, providing a novel solution for the development of low-cost and high-sensitivity AFB₁ detection equipment.…”
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Graph neural network approach with spatial structure to anomaly detection of network data by Hao Zhang, Yun Zhou, Huahu Xu, Jiangang Shi, Xinhua Lin, Yiqin Gao

“…Results demonstrate that optimizing edge weights yields greater improvements in anomaly detection performance compared to optimizing node attributes, achieving twice the contribution. …”
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A Weakly Supervised Network for Coarse-to-Fine Change Detection in Hyperspectral Images by Yadong Zhao, Zhao Chen

“…In recent years, deep-learning based HSI-CD methods have made remarkable progress due to their powerful nonlinear feature learning capabilities, yet they face several challenges: mixed-pixel phenomenon affecting pixel-level detection accuracy; heterogeneous spatial scales of change targets where coarse-grained features fail to preserve fine-grained details; and dependence on high-quality labels. …”
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Fusion of Deep and Time–Frequency Local Features for Melanoma Skin Cancer Detection by Hamidreza Eghtesaddoust, Morteza Valizadeh, Mehdi Chehel Amirani

“…There are several methods based on machine learning to detect MEL from dermoscopic images. …”
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Enhancing Anti-Money Laundering Detection with Self-Attention Graph Neural Networks by Yu Qian, Wang Sizhe, Tao Yixin

“…The paper also discusses potential strategies for further optimizing precision and recall, such as advanced graph architectures, oversampling methods, and enhanced node embedding techniques. …”
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Design of an Underwater Robot System for Detecting Defects in Hydraulic Structures at Hydropower Stations by ZHANG Yi, ZHU Jun, YUAN Qingqing, WENG Yewei, PENG Shidong, SHEN Weige

“…Current defect detection techniques for hydraulic structures at hydropower stations are conducted by inspection robots or divers, facing challenges such as limited inspection methods and the impact of water currents. …”
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DDFNet: A Dual-Domain Fusion Network for Robust Synthetic Speech Detection by Jing Lu, Qiang Zhang, Jialu Cao, Hui Tian

“…The detection of synthetic speech has become a pressing challenge due to the potential societal risks posed by synthetic speech technologies. …”
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Small object detection algorithm based on improved YOLOv10 for traffic sign by Yukang Zou, Scarlett Liu

“…LTS-YOLOv10 provides a promising solution for practical traffic sign detection, with future work focusing on further enhancing the model’s real-time capabilities and optimizing its application in edge computing environments.…”
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CHDPL-Net: a lightweight network for Chinese herbal decoction pieces detection by Chuhe Lin, Zhijun Xie, Xing Jin, Hangjuan Lin, Renguang Shan

“…To address this, we have constructed a diverse CHDP dataset and proposed a lightweight network for CHDP detection, named CHDPL-Net. Based on YOLOv8, this model introduces a new network scaling factor to reduce redundant channels in deep feature maps and optimizes the Neck and Head structures to better accommodate CHDP detection, which primarily involves medium and large targets. …”
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An Improved YOLOv7-Tiny-Based Algorithm for Wafer Surface Defect Detection by Mengyun Li, Xueying Wang, Hongtao Zhang, Xiaofeng Hu

“…To address the shortcomings of manual inspection and the limitations of existing machine learning methods, this paper proposes a wafer defect detection algorithm based on an improved YOLOv7-tiny. …”
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