Computationally efficient solution for finding the current density on the illuminated and shadow sides of an infinitely thin circular disk by Dmitry K. Ketukh

“…The article is devoted to the development of a computationally efficient numerical solution to the diffraction problem on an infinitely thin ideally conducting circular disk. The main attention is paid to the problem of finding the distribution of the surface current density on each side of the disk separately, which has remained undiscovered in other well-known studies. …”
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Advanced GIS-based Multi-Function Support System for Identifying the Best Route by Suhiar Mohammed Zeki Abd Alsammed

“…One of the main merits of this model is to be faster by removing the influence of non-processed data like null values and unlinked roads on offline google maps levels. …”
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On Methods in the Verification and Elaboration of Development Programs for Agricultural Territories by Jorge Vega Vice, Valery Mikhailov

“…In this paper, in order to solve the problem of verification of development programs for agricultural territories, a structural scheme of the program is first constructed, through which the axiomatic theory is created, using Hoare’s algorithmic logic system. The main problem in the construction of the axiomatic theory is the development of the axioms of the theory reflecting the preconditions and effects of the implementation of meaningful actions indicated in the text of the development program. …”
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Dynamic Multiobjective Optimization Based on Multi-Environment Knowledge Selection and Transfer by Wei Song, Jian Yu

“…<i>Background:</i> Dynamic multiobjective optimization problems (DMOPs) involve multiple conflicting and time-varying objectives, and dynamic multiobjective algorithms (DMOAs) aim to find Pareto optima that are closer to the real one in the new environment as soon as possible. …”
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Understanding students’ sentiment from feedback with a new feature selection and semantics networks by Tran Anh Tuan, Dao Thi Thanh Loan, Nichnan Kittiphattanabawon

“… Sentiment analysis of students’ feedback using machine learning algorithms has emerged as a valuable tool for understanding students’ sentiments and improving educational outcomes. …”
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Cutting through the noise: A Three-Way Comparison of Median, Adaptive Median, and Non-Local Means Filter for MRI Images by Raniya Ashraf, Roz Nisha, Fahad Shamim, Sarmad Shams

“…In order to overcome the denoising issues, various filtering techniques and smoothening algorithms have come forth to get an accurate image for better diagnosis while preserving the original image quality. …”
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Methods and software for anomalies searching in the telemetry data of a solar power plant based on the normalized power analysis by S. V. Vаlevich, K. S. Dzick, I. I. Pilecki, I. Kruse, R. M. Asimov, V. S. Asipovich

“…The search for anomalies in the operation of solar power plants is one of the main components of monitoring. The purpose of the study is to develop new methods and software algorithms for finding anomalies in the operation of solar panels based on the results of a digital twin created and trained according to the telemetry data of a solar power plant.Methods. …”
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Automated CATS system for distance learning by Yu. B. Popova

“…These mathematical methods made it possible to develop adaptability algorithms, their software implementation and testing in the educational process. …”
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Postulates of oncology alertness for an outpatient therapist: let’s look at the example of lung cancer by A. L. Vertkin, M. A. Rudnitskaya, Yu. V. Vakhabova, G. Yu. Knorring

“…The identification of complaints and symptoms characteristic of oncological diseases using algorithmized approaches and methodological support, followed by consultation of the patient with a pulmonologist or oncologist, are designed to improve the results of treatment.Results. …”
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The Future of Employment: Evaluating the Impact of STI Foresight Exercises by Ricardo Seidl da Fonseca

“…The core of the paper is dedicated to address the main question of how to identify and choose variables and indicators able to reflect vectors towards the future of employment. …”
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Computational Thinking in Elementary School Students: A Bibliometric Review by Swasti Maharani, Irna Tri Yuniahastuti, Ihtiari Prastyaningrum, Vera Dewi Susanti, Hendrisa Rizqie Romandoni

“…The development of CT skills, which include logical thinking, systematic problem-solving, decomposition, pattern recognition, abstraction, and algorithmic design, is essential to prepare students for navigating a technology-driven future. …”
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An Efficient Privacy-preserving Deep Learning Scheme for Medical Image Analysis by J. Andrew Onesimu, J Karthikeyan

“…An augmented convolutional layer and image morphing are two main components of MpLe scheme. Data providers morph the images without privacy information using image morphing component. …”
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Technology for Production of MSF-fuel – Direction Providing Transition to Circular Economy by B. M. Khroustalev, A. N. Pekhota, R. N. Vostrova, E. A. Pekhota

“…The paper provides characteristics of the main areas of use and processing of waste that have not found application in traditional technologies and energy. …”
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Machine Learning and Medical Data: Predicting ICU Mortality and Re-admission Risks by Runia Roy, Ulya Bayram

“…Four machine learning algorithms are applied to the finalized feature set to understand the difference between the binary and the multi-class classification problems. …”
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A Transformation of the Way of Thinking: Key Principles in Programming Education Inspired by Pascal by Valentina Dagienė, Gintautas Grigas, Tatjana Jevsikova

“…In this article, we provide a retrospective analysis of the Lithuanian experience driven by Pascal and discuss the main ideas about teaching programming originating from this experience. …”
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Profitability Indicators: Critical Analysis and Applicability in Modern Conditions by S. A. Bondarenko, S. V. Pupentsova

“…Many years of experience of the authors of this article in the field of business valuation allowed to systematize the techniques of calculation of the main profitability indicators, to present an updated system of their grouping, as well as to classify the factors affecting them. …”
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Mapping Cell Identity from scRNA-seq: A primer on computational methods by Daniele Traversa, Matteo Chiara

“…To this end, we classify existing tools in five main categories, and discuss their key strengths, limitations and range of application.…”
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SEN2NAIP: A large-scale dataset for Sentinel-2 Image Super-Resolution by Cesar Aybar, David Montero, Julio Contreras, Simon Donike, Freddie Kalaitzis, Luis Gómez-Chova

“…Abstract The increasing demand for high spatial resolution in remote sensing has underscored the need for super-resolution (SR) algorithms that can upscale low-resolution (LR) images to high-resolution (HR) ones. …”
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Investigating the Relationship Between Drought Parameters and Food Security Using Data Mining Methods (Case study: Alborz Province) by Mohammad Ansari Ghojghar

“…On the other hand, the recent droughts are one of the main reasons for the instability in food security and food production in different regions of the world. …”
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Dynamic Skin: A Systematic Review of Energy-Saving Design for Building Facades by Jian Wang, Shengcai Li, Peng Ye

“…The construction industry is one of the main areas of energy consumption and carbon emissions, and strengthening research on the thermal performance of building facades can effectively promote energy conservation and emission reduction. …”
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