Methodology for determining and controlling the load capacity of integrated circuits by Gennady P. Shopin, Alina A. Denisyuk, Mikhail N. Piganov

“…Background. The relevance of the topic of this work is due to the need to increase the reliability of the quality of determination and control of the load capacity of microcircuits. …”
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Two-dimensional Sparse Antenna Array of a Passive Coherent Radar using a Parametric Algorithm of Signal Processing via the Section Method by V. M. Kutuzov, V. I. Veremyev, M. A. Ovchinnikov, G. V. Komarov

“…The section method based on the modified parametric Burg algorithm is a promising and relevant method for constructing directional characteristics. …”
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Interval valued inventory model with different payment strategies for green products under interval valued Grey Wolf optimizer Algorithm fitness function by Subhash Chandra Das, Md. Al-Amin Khan, Ali Akbar Shaikh, Adel Fahad Alrasheedi

“…To solve the optimization problem, a popular metaheuristic algorithm (viz., Grey Wolf Optimizer) is used and finally performed a post optimality analysis for making a fruitful conclusion.…”
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Evaluation of classification algorithms in the Google Earth Engine platform for the identification and change detection of rural and periurban buildings from very high-resolution i... by Alejandro Coca-Castro, Maycol A. Zaraza-Aguilera, Yilsey T. Benavides-Miranda, Yeimy M. Montilla-Montilla, Heidy B. Posada-Fandiño, Angie L. Avendaño-Gomez, Hernando A. Hernández-Hamon, Sonia C. Garzón-Martinez, Carlos A. Franco-Prieto

“…Three evaluation zones per study area were proposed to quantify the performance of the algorithms through the Intersection over Union (IoU) metric. …”
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Validation of Deep Learning–Based Automatic Retinal Layer Segmentation Algorithms for Age-Related Macular Degeneration with 2 Spectral-Domain OCT Devices by Souvick Mukherjee, PhD, Tharindu De Silva, PhD, Cameron Duic, BS, Gopal Jayakar, BS, Tiarnan D.L. Keenan, BM BCh, PhD, Alisa T. Thavikulwat, MD, Emily Chew, MD, Catherine Cukras, MD, PhD

“…However, this resource-intensive process has constrained the widespread application of such algorithms across diverse OCT devices. This work validates deep learning image segmentation models across multiple OCT devices by testing robustness in generating clinically relevant metrics. …”
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Assessment of Teaching Quality of Traditional Decorative Patterns in Colleges and Universities Using an MCDM Approach and Circular Intuitionistic Information by Zi Wang, Liping Pan

“…A case study demonstrates its practical relevance and highlights the advantages of applying fuzzy logic to assess the teaching quality of traditional decorative patterns in colleges and universities.…”
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Development of psychological and educational aspects of interaction between medical workers and patients by T. V. Ryabova, A. A. Mutigullina

“…To develop a patient education algorithm used by medical workers. The leading method for studying this problem is a pedagogical experiment, as well as a statistical processing of quantitative research results. …”
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Super-resolution reconstruction technology and its application on intelligent terminal device by Guqiao ZHU, Chao JIANG, Yuye XU

“…The development history of super-resolution reconstruction technology and its typical approaches were briefly introduced.An implementation solution of super-resolution reconstruction was proposed on one kind of intelligent terminal device.The image super-resolution approaches implemented by interpolation algorithms and deep learning algorithms were experimented and simulated, and their results on terminal’s processing performance and images’ quality of experience were evaluated and analyzed.The suggestions on appropriate scenarios of super-resolution implemented by the intelligent terminal device were proposed.Furthermore, some typical cases of super-resolution reconstruction technology in the fields of entertainment video services and home surveillance services were discussed.The possible research direction and the trend of convergence of this technology and relevant image processing technologies were also prospected.…”
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Personalized learning effect evaluation model for vocational education with cloud computing technology by Xiangyu Wang, Kang Cao

“…To achieve more efficient and accurate evaluation of learning effect, an adjustable variation genetic algorithm-backpropagation neural network (AGA-BP) is proposed. …”
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Enhancement of Breast Cancer Classification Using Bat Feature Selection with Recurrent Deep Learning by Ali Nafaa Jaafar

“…The goals of the study were to improve the accuracy of classification and to enhance the effectiveness of feature selection; the basic principle was to select the best features from the original datasets. The bat algorithm assists in selecting the best relevant feature when integrated with recurrent deep learning models, which improves breast cancer classification by leveraging training datasets. …”
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Research on Slope Stability Prediction Based on MC-BKA-MLP Mixed Model by Yan Lu, Hongze Zhao

“…Subsequently, a novel Black Kite Algorithm (BKA) was developed to enhance the prediction model of a multilevel perceptron neural network. …”
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Software implementation of the system for learning to write Chinese characters by N. V. Gubanov

“…However, the developed software applications are based only on the creation of a neural network and cannot provide recognition, taking into account all the features of the language, which is so important when studying, therefore this topic is still relevant.Method. The neural network training model is based on the use of artificial neural networks using the backpropagation algorithm.Result. …”
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A Method for Compressing Event Log Data Based on Combinatorial Generation Using AND/OR Tree Structures by Yuriy Shablya

“…Due to the large amount of archival data and its rare use, it is relevant to store such data in compressed form. This article discusses the problem of developing a method for compressing archival data using the example of event log data by applying combinatorial generation algorithms. …”
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BOOTSTRAPPING METHODS FOR CONSTRUCTING CONFIDENCE INTERVALS FOR THE ESTIMATION OF MODEL PARAMETERS OF THE ZONAL DISINTEGRATION OF ROCKS AROUND UNDERGROUND EXCAVATIONS by Alexsandr S. Losev

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Identification of intracranial solitary fibrous tumor and atypical meningioma by multi-parameter MRI-based radiomics model by Yanghua Fan, Panpan Liu, Junting Zhang, Liang Wang, Zhen Wu

“…Employing the elastic net algorithm, relevant features were identified to form the fusion radiomic model. …”
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Copyright Research Protocol for Comprehensive Assessment of the Dento-Alveolar Complex in Patients with Temporomandibular Joint Disorders: Clinical Cases by S. V. Tekucheva, E. A. Bazikyan, Ya. I. Afanasyeva, M. A. Postnikov

“…The authors present the algorithm they developed for comprehensive assessment of dentoalveolar injuries in patients with temporomandibular joint disorders.Case descriptions. …”
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Artificial Intelligence Methods Applied to Catalytic Cracking Processes by Fan Yang, Mao Xu, Wenqiang Lei, Jiancheng Lv

“…This paper will sort out the relevant research results of the existing Artificial Intelligence (AI) algorithms applied to the analysis and optimization of catalytic cracking processes, with a view to providing help for the follow-up research. …”
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Runtime–Coherence Tradeoffs for Hybrid Satisfiability Solvers by Vahideh Eshaghian, Soren Wilkening, Johan Aberg, David Gross

“…Many search-based quantum algorithms that achieve a theoretical speedup are not practically relevant since they require extraordinarily long coherence times, or lack the parallelizability of their classical counterparts. …”
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Counting touching wheat grains in images based on elliptical approximation by D. R. Avzalov, E. G. Komyshev, D. A. Afonnikov

“…In the first case, the simplest binarization/segmentation algorithms, such as the watershed algorithm, can achieve high accuracy in segmentation and counting grains in an image. …”
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Differential diagnosis of ovarian neoplasm using contrast-enhanced ultrasound (clinical case) by N. Е. Safonova, N. М. Podzolkova, V. В. Osadchev, K. V. Babkov, I. Е. Fadeev

“…That’s why an important task is to create optimal algorithms for diagnosing and routing patients in case of suspicion of an adnexal tumor. …”
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