Research on machine learning methods for detecting objects in difficult shooting conditions by Vitalii Serdechnyi, Olesia Barkovska, Andriy Kovalenko, Anton Havrashenko, Vitalii Martovytskyi

“…The goal of this research is to identify the most effective deep learning models based on convolutional neural networks for object detection tasks under challenging imaging conditions, considering the practical requirements for accuracy and processing speed. …”
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Improved Hypernymy Detection Algorithm Based on Heterogeneous Graph Neural Network by Li Ren, Jing Huang, Hai-Tao Jia, Shu-Bao Sun, Kai-Shi Wang, Yi-Le Wu

“…These relations are primarily used to describe the hierarchical and categorical relationships between different concepts or entities. The detection of hyponymy–hypernymy semantic relations is an important task in the field of natural language processing, crucial to many downstream tasks such as information extraction, automatic reasoning, and personalized recommendations. …”
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Detection of frictional meltwater on snow surface using a humidity indicator by Shiraz Ahmed Siddiqui, Michael Hasler, Martin Mössner, Joost van Putten, Kurt Schindelwig, Werner Nachbauer

“…Strausky et al. (1998) used fluorescence spectroscopy to detect the meltwater layer. However, they concluded to have observed no water layer above their detection limit of 0.05 µm at speeds up to 0.1 m/s (an unrealistic speed of skiing). …”
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SincVAE: A new semi-supervised approach to improve anomaly detection on EEG data using SincNet and variational autoencoder by Andrea Pollastro, Francesco Isgrò, Roberto Prevete

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Ultra‐low LOD H2O2 Sensor Based on Synergistic Nernst Potential Effect by Zhaoqun Wang, Wen Gao, Xiaorong Niu, Yuhang Liu, Zichen Jin, Fan Zhang, Zhengdong Cheng, Xiaoning Jiang, Wendong Zhang, Ting Wang, Jianlong Ji, Xiaojie Chai, Shengbo Sang

“…Abstract The food processing industry and biomedical science research are relying on the low limit of detection (LOD) for hydrogen peroxide (H2O2). …”
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A novel deep learning model based on YOLOv5 optimal method for coal gangue image recognition by Tongkai Gu, Haiyan Zhao, Yasheng Chang, Sitong Yan, Feihan Cao, Wei Liu

“…The advent of deep learning techniques has introduced novel solutions for automating and online coal gangue processing. Despite the potential of deep learning models, challenges such as overfitting and the need for extensive labeled datasets hinder their effectiveness. …”
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Applications of surface enhanced Raman scattering (SERS) spectroscopy for detection of nucleic acids by Michałowska Aleksandra, Kudelski Andrzej

“…Nucleic acids (deoxyribonucleic acid – DNA and ribonucleic acid – RNA) are essential components of all living organisms, with DNA encoding genetic information and RNA facilitating vital biological processes. The detection of nucleic acids having a specific sequence is crucial for identifying organisms and diagnosing genetic diseases. …”
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Distinct neural bases of subcomponents of the attentional blink by Swagata Halder, Deepak Velgapuni Raya, Devarajan Sridharan

“…The attentional blink reflects a ubiquitous bottleneck with selecting and processing the second of two targets that occur in close temporal proximity. …”
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SDFA-Net: Synergistic Dynamic Fusion Architecture With Deformable Attention for UAV Small Target Detection by Yunsong Qi, Hengwei Cao

“…This study proposes an enhanced detection algorithm based on a real-time detection transformer framework (RT-DETR). …”
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A Scale Normalized Generalized LoG Detector Approach for Retinal Vessel Segmentation by Mohammad A. U. Khan, Faizan Daud, Awais Akram, Rizwan Ali Naqvi, Mehwish Mehmood, Dildar Hussain, Toufique Ahmed Soomro

“…Laplacian of Gaussian (LoG) detectors is a popular choice method for edge detection adapted for detecting circular blob detection. …”
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DRCO: Dense-Label Refinement and Cross Optimization for Semi-Supervised Object Detection by Yunlong Qin, Yanjun Li, Feifan Ji, Yan Liu, Yu Wang, Ji Xiang

“…In semi-supervised object detection (SSOD), the methods based on dense pseudo-labeling bypass complex post-processing while maintaining competitive performance compared to the methods based on sparse pseudo-labeling. …”
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Image information optimization processing based on fractional order differentiation and WT algorithm. by Qiong Long

“…Image edge detection and image fusion are important technologies in the field of image processing, with wide application value. …”
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Recent Progress in Ocean Intelligent Perception and Image Processing and the Impacts of Nonlinear Noise by Huayu Liu, Ying Li, Tao Qian, Ye Tang

“…Deep learning network models are crucial in processing images acquired from optical, laser, and acoustic sensors in ocean intelligent perception and target detection. …”
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A Novel Nonlinear Stochastic-Resonance-Enhanced Acceleration Data Processing Approach by X. Gao, D. He, X. Chen, Y. Xiang, D. Zou, L. Pei

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Global information aware network with global interaction graph attention for infrared small target detection by Ruimin Yang, Yidan Zhang, Guangshuai Gao, Liang Liao, Chunlei Li

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Expressway Information Collection Processing and Control Technology Based on RFID Internet of Things by Zhenbang He

“…In order to solve the problems of highway traffic congestion and frequent traffic accidents, a technology method for highway information collection, processing, and control based on RFID Internet of Things is proposed. …”
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Flight Performance Analysis of an Image Processing Algorithm for Integrated Sense-and-Avoid Systems by Lidia Forlenza, Giancarmine Fasano, Domenico Accardo, Antonio Moccia

“…This paper is focused on the development and the flight performance analysis of an image-processing technique aimed at detecting flying obstacles in airborne panchromatic images. …”
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Statistical bayesian algorithm for processing thermographic images of the cow udder for diagnosing mastitis by I. I. Hirutsky, A. G. Senkov, Y. A. Rakevich

“…The article presents results of our experiments carried out to study the invariance of the digital description of the imageThere in the paper is formulated a mathematical problem of multi-hypothetical detection of subclinical and clinical mastitis in dairy cows by the maximum values of udder temperature measured by digital processing of the udder thermal images. …”
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Feature Extraction and Identification of Rheumatoid Nodules Using Advanced Image Processing Techniques by Azmath Mubeen, Uma N. Dulhare

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For the security of telecommunication networks on the application program package OPNET Modeler v.14.5 and the use of the «NetDoctor» module by М.З. Якубова, Т.Г. Сериков

“…Wireless communications, therefore, should be considered not a complete alternative to cable networks, but only an alternative technology for the implementation of individual segments or even entire levels of the designed, extensible or modernizing computer network. Detection of used erroneous technologies in the process of building and modeling of telecommunication networks ensures the security of their functioning and predicts their reliable building structure at their design. …”
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