Detection of Deaths Caused by Hyperkalemia by Małgorzata Żulicka, Kamila Sobczak, Dominik Kowalczyk, Sylwia Sikorska, Wioletta Arendt, Marta Hałas-Wiśniewska

“…The disruption of this transcellular process leads to elevated potassium ion levels in the extracellular space, and thus in the blood, a condition known as hyperkalemia. …”
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SFFNet: Shallow Feature Fusion Network Based on Detection Framework for Infrared Small Target Detection by Zhihui Yu, Nian Pan, Jin Zhou

“…Infrared small target detection (IRSTD) is the process of recognizing and distinguishing small targets from infrared images that are obstructed by crowded backgrounds. …”
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A SAM-Based Detection Method for the Distance Between Air-Craft Fire Detection Lines by Mo Chen, Sheng Cheng, Yan Liu, Qifan Yin, Hongfu Zuo

“…Checking the distance between aircraft fire detection lines is a crucial task in the conformity inspection process of civil aircraft manufacturing. …”
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Enhanced Face Detection Using Multi-Cascade Face Detection and Deep Ladder Neural Network by Pande Anshul, Voditel Priti

“…Among these technologies, the MTCNN and deep ladder imputation network have emerged as pivotal tool in advancing the accuracy and reliability of face recognition, by employing a three-stage cascade framework that enhances feature detection capabilities. During this deep ladder imputation network point out the provocation of missing data and ensure that incomplete dataset should not hamper the recognition process. …”
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A Model for Detecting <i>Xanthomonas campestris</i> Using Machine Learning Techniques Enhanced by Optimization Algorithms by Daniel-David Leal-Lara, Julio Barón-Velandia, Lina-María Molina-Parra, Ana-Carolina Cabrera-Blandón

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Research of phishing detection technology by Xi ZHANG, Zhi-wei YAN, Hong-tao LI, Guang-gang GENG

“…The current status of phishing scams were analyzed and the data sets and evaluation indicators commonly used in phishing detection were summaried.On this basis,a detailed overview of the typical methods of phishing detection was given,which included blacklist strategies,heuristic methods,visual matching methods,and methods based on machine learning and natural language processing.The comparison and analysis of those methods were given,and furtherly,the challenges and future trends of phishing detection were discussed.…”
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Detection of inhibitor residues in milk by Blyumskaya S.N., Naumov M.M.

“…The results indicate a high prevalence of antibiotic residues in milk, which may adversely affect its processing and safety. The Delvotest T and Eclipse tests were found to be the most effective in detecting a wide range of inhibitory substances, confirming their importance for monitoring. …”
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Innovation in the Processing of Native Round Fish: A Readjustment of the Processing Workflow for <i>Salmonella</i> spp. Control in a Fish Processing Plant in the State of Mato Gros... by Jaqueline Oliveira Reis, Nathaly Barros Nunes, Yuri Duarte Porto, Adelino Cunha Neto, Sara Rodrigues de Souza, Washington da Guia Fonseca, Alexsandro da Silva Siqueira, Luciana Kimie Savay-da-Silva, Eduardo Eustáquio de Souza Figueiredo

“…<i>Salmonella</i> spp. is a pathogen detected in fish, although it is not part of its microbiota; the production and processing environment is the main source of contamination. …”
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Ringworm Detection and Diagnosis System. by Asiimwe, Joab, Barigye, Deus Dedet

“…This report presents a novel ringworm detection system utilizing deep learning and image processing. …”
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Detection of «Telegram Rat» virus by A. I. Dubrovina, M. H. Alkordi

“…Practical methods of threat detection and neutralization are stipulated. The method of «Telegram Rat» virus threat detection is based on the analysis of active processes, network activity and file system. …”
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Blur Feature Extraction Plus Automatic KNN Matting: A Novel Two Stage Blur Region Detection Method for Local Motion Blurred Images by Minghua Zhao, Dan Li, Zhenghao Shi, Shuangli Du, Peng Li, Jing Hu

“…First, blur feature discriminant criteria in frequency domain and spatial domain is defined to generate blur feature image; then, binarization is used on the blur feature image to obtain the coarse blur region detection map; subsequently, morphological methods are used to process the clear and blur areas and the trimap is obtained. …”
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Disease Detection Algorithm for Tea Health Protection Based on Improved Real-Time Detection Transformer by Zhijie Lin, Zilong Zhu, Lingling Guo, Jingjing Chen, Jiyi Wu

“…The enhanced RT-DETR model achieves a detection precision of 89.20% and a processing speed of 346.40 FPS. …”
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Framelet transform based edge detection for straight line detection from remote sensing images by Vidhya Rangasamy, Sulochana Subramaniam

“… Edge detection has been widely used as a pre-processing step for image processing applications such as region segmentation, feature extraction and object boundary description. …”
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Dual-Branch Diffusion Detection Model for Photovoltaic Array and Hotspot Defect Detection in Infrared Images by Ruide Li, Wenjun Yan, Chaoqun Xia

“…The proposed model encodes infrared images to extract semantic features, which are then processed through an PV array detection branch and a hotspot detection branch. …”
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HSF-DETR: Hyper Scale Fusion Detection Transformer for Multi-Perspective UAV Object Detection by Yi Mao, Haowei Zhang, Rui Li, Feng Zhu, Rui Sun, Pingping Ji

“…Further validation across multiple public remote sensing datasets confirms the robust generalization capability of HSF-DETR in diverse aerial scenarios, offering a practical solution for resource-constrained UAV applications where both detection quality and processing speed are crucial.…”
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Selecting change image for efficient change detection by Rui Huang, Ruofei Wang, Yuxiang Zhang, Yan Xing, Wei Fan, Kai Leung Yung

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Applying Robotic Process Automation to Monitor Business Processes in Hospital Information Systems: Mixed Method Approach by Adam Park, Se Young Jung, Ilha Yune, Ho-Young Lee

“…The increasing complexity within health care systems necessitates enhanced process reengineering and system monitoring approaches. …”
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OCAFI: observation centric appearance free interpolation technique for multi-object tracking by Shavantrevva Bilakeri, Karunakar A. Kotegar

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Evaluating Deep Learning Networks Versus Hybrid Network for Smart Monitoring of Hydropower Plants by Fatemeh Hajimohammadali, Emanuele Crisostomi, Mauro Tucci, Nunzia Fontana

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Method of joint wavelet thresholding and F-NLM de-noising for high-resolution SAR ship detection by Liang TONG, Dan LIU, Zhongbo PENG, Han ZOU, Lumeng WANG, Chunyu ZHANG

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