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. …”
Get full text

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. …”
Get full text

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

Get full text

Ankylosing spondylitis morbidity trends in Russia and Saturday spondyloarthritis schools by Shandor Fedorovich Erdes, R M Balabanova

“…The countrywide detection and notification of ankylosing spondylitis (AS) are not only late, but are frequently not even done not least due to the undertraining of physicians in this area. …”
Get full text

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.…”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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.…”
Get full text

Special aspects in tuberculosis teaching based on reviews of medical malpractice cases by Ye. V. Nekrasov, O. V. Filinyuk, L. N. Buinova, O. V. Kolokolova, O. V. Anastasov, I. G. Felker, D. Yu. Schegertsov, G. V. Yanova

“…In the educational program of the Chair of Tuberculosis and Pulmonology of Siberian State Medical University (Tomsk), there is a special consideration towards tuberculosis alarm, the ways of TB detection, diagnostics and differential diagnostics of pulmonary and extra-pulmonary TB. …”
Get full text

Preliminary results of the implementation of the program to reduce morbidity and prevent mortality from diseases of the circulatory system in workers of locomotive crews by E. A. Zhidkova, E. M. Gutor, V. B. Pankova, M. F. Vilk, I. A. Popova, K. G. Gurevich, O. M. Drapkina

“…To study the first implementation results of a Targeted comprehensive program to reduce morbidity and prevent mortality from circulatory system diseases and early cancer detection in employees of JSC "Russian Railways" for the period from 2019 to 2023.Material and methods. …”
Get full text

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. …”
Get full text

Selecting change image for efficient change detection by Rui Huang, Ruofei Wang, Yuxiang Zhang, Yan Xing, Wei Fan, Kai Leung Yung

Get full text

OCAFI: observation centric appearance free interpolation technique for multi-object tracking by Shavantrevva Bilakeri, Karunakar A. Kotegar

Subjects: Get full text

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

Subjects: Get full text