Prospects for development of graphic training of students of technical universities by Zh. A. Nazarova

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Digital technologies in education: the view of medical students by A. G. Zabolotniy, M. E. Mirgorodskaya, A. O. Moskalenko, A. I. Loseva

“…The relevance of the research of digital technologies in education is due to their increasing integration into the educational process. Researches in this area often focus on the views of teachers, which highlights the need for a more in-depth analysis of students' experiences and their perceptions of digital learning.The Materials and methods: review of literary sources; statistical analysis of the results of an online survey conducted from November 1 to 15, 2024 at the Kuban State Medical University.The Results. …”
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Modeling of an Industrial Incinerator for Refinery Wastes and Investigating the Effective Parameters for Performance Improvement by Mohsen Bahoosh, Bahareh Bidar, Mohammad Reza Sardashti Birjandi, Farhad Shahraki

“…Industrial waste incinerators in gas refineries or sulfur recovery units are responsible for eliminating the waste gases such as hydrogen sulfide (H2S) and carbon dioxide (CO2) produced in the process. Most of these units are facing problems such as incomplete combustion, lack of proper control systems for measurement, and the presence of pollutants such as carbon monoxide and nitrogen oxides, etc. …”
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DESIGN OF A SYSTEM FOR AUTOMATIC MONITORING OF MOBILE TERRITORIALLY SEPARATED OBJECTS by I.A. Kubasov, L.A. Lekar

“…Designing an automatic monitoring system for mobile geographically dispersed objects is a complex process that requires the involvement of specialists of various profiles: engineers, programmers, analysts and operators. …”

Monitoring the mean vector and the covariance ­matrix of multivariate processes with sample means and sample ranges Monitoramento do vetor de médias e da matriz de covariâncias de... by Antônio Fernando Branco Costa, Marcela Aparecida Guerreiro Machado

“…The joint <img src="/img/revistas/prod/2011nahead/aop_t6_0002_0329.jpg" /> and R charts and the joint <img src="/img/revistas/prod/2011nahead/aop_t6_0002_0329.jpg" /> and S² charts are the most common charts used for monitoring the process mean and dispersion. With the usual sample sizes of 4 and 5, the joint <img src="/img/revistas/prod/2011nahead/aop_t6_0002_0329.jpg" /> and R charts are slightly inferior to the joint <img src="/img/revistas/prod/2011nahead/aop_t6_0002_0329.jpg" /> and S² charts in terms of efficiency in detecting process shifts. …”
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Editorial: Smart biomedical signal analysis with machine intelligence by Tilendra Choudhary, Pulakesh Upadhyaya, Mohammad Zavid Parvez, Mohammad Zavid Parvez, Shaik Rafi Ahamed

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Authorship Classification in a Resource Constraint Language Using Convolutional Neural Networks by Md. Rajib Hossain, Mohammed Moshiul Hoque, M. Ali Akber Dewan, Nazmul Siddique, Md. Nazmul Islam, Iqbal H. Sarker

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A comprehensive review of deep learning approaches for rice disease detection: Datasets, methodologies, and future directions by Usman Idris Ismail, Hui Na Chua, Rosdiadee Nordin, Muhammed Kabir Ahmed

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Complex Full-Arch Treatment with Zygomatic Implants, Fully Digital Protocol with Scan Flag Intraoral Scanning, and 3D-Printed Temporary Reconstructions in a Periodontal Patient—A C... by Adam Nowicki, Karolina Osypko

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Leveraging spatial dependencies and multi-scale features for automated knee injury detection on MRI diagnosis by Jianhua Sun, Ye Cao, Ying Zhou, Baoqiao Qi

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Integrating IT and OT for Cybersecurity: A Stochastic Optimization Approach via Attack Graphs by Gonzalo Martinez Medina, Krystel K. Castillo-Villar, Tanveer Hossain Bhuiyan

“…We demonstrate the efficacy of this proposed approach in cybersecure digital manufacturing via a real-life Computer Numerical Control (CNC) machining process. …”
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Exposure to vibrotactile music improves audiometric performances in individuals with cochlear implants by Luca Turchet, Raffaele Rosaia, Alessandro Diodati, Marco Carner

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DESIGN AND DEVELOPMENT OF A LINEAR MOTORIZED SOFT ROBOTICS EXO-MUSCULAR (SMER) GLOVE by Nastaran Reza Nazar Zadeh, Jennifer Dela Cruz, Mohammad Tabibi

“…This test and evaluation process includes interacting with objects of various sizes and shapes with both vertical and horizontal positions. …”
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Radiomics Analysis of Whole-Kidney Non-Contrast CT for Early Identification of Chronic Kidney Disease Stages 1–3 by Guirong Zhang, Pan Zhang, Yuwei Xia, Feng Shi, Yuelang Zhang, Dun Ding

“…Background: The early stages of chronic kidney disease (CKD) are often undetectable on traditional non-contrast computed tomography (NCCT) images through visual assessment by radiologists. …”
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Hybrid Method for Point Cloud Classification by Abdurrahman Hazer, Remzi Yildirim

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Virtual tour for a municipal theater: The technology of creation by Svetlana V. Suprun, Tat'yana A. Tkachenko

“…Multimedia computer technologies can be considered as a modern way of giving information providing the ability to combine various types of data: video, sound, animation, text, 2d and 3d graphics. …”
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Design and Production of Interactive E-Learning Content Based on Need Assessment and its Impact on Self-Regulation Learning and Academic Performance of Pharmacy Students by Bahram Rostami, Parvin Zolghadri, Mansour Ojaghloo, Karimi Moghaddam, Alireza Yazdinezhad, Fahime Khaleghi

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Laser Welding of Micro-Wire Stent Electrode as a Minimally Invasive Endovascular Neural Interface by Bo Wen, Liang Shen, Xiaoyang Kang

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EEG-SKDNet: A Self-Knowledge Distillation Model With Scaled Weights for Emotion Recognition From EEG Signals by Thuong Duong Thi Mai, Duc-Quang Vu, Huy Nguyen Phuong, Trung-Nghia Phung

“…Electroencephalogram-based emotion recognition has garnered increasing attention due to its potential in human&#x2013;computer interaction and affective computing. While recent deep learning methods have achieved remarkable performance in this task, most approaches emphasize accuracy at the expense of computational efficiency, making them impractical for real-time applications or deployment on resource-constrained devices. …”
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Automated Overtake Assist System Using YOLOv4 and Mask R-CNN for Enhanced Autonomous Driving by Navya Thirumaleshwar Hegde, Kapileswar Rana, S. S. Barath, Florence Nishmitha, Vishnu G. Nair

“…The advent of computer vision technology has significantly advanced the development of automated driving systems, enabling more sophisticated and safer driving aids. …”
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