Allergic diseases and pregnancy by A. V. Klemenov

“…The article discusses practical issues of pregnant women with allergic diseasesmanagement. …”
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Improved Deep Convolutional Generative Adversarial Network for Data Augmentation of Gas Polyethylene Pipeline Defect Images by Zihan Zhang, Yang Wang, Nan Lin, Shengtao Ren

“…Machine vision-based inspection methods have emerged as a key solution to these issues. Despite this, the method also encounters the problem of scarcity of defect samples and uneven data distribution in gas pipeline defect detection. …”
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A sports manager’s key competences model by I. A. Udzhukhu, F. A. Tuguz, E. S. Dvoynikova

“…A set of methods of scientific knowledge: analysis, classification, modeling, generalization, visual presentation of data has been used. …”
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Evolutionary learning in neural networks by heterosynaptic plasticity by Zedong Bi, Ruiqi Fu, Guozhang Chen, Dongping Yang, Yu Zhou, Liang Tian

“…Traditional training methods like backpropagation face challenges with complex models due to instability and gradient issues. We explore evolutionary algorithms (EAs) combined with heterosynaptic plasticity as a gradient-free alternative. …”
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PECULARITIES OF THE PROFESSIONAL DIALOGUE MEDIATED BY MODERN MEANS OF TELECOMMUNICATION IN THE PROCESS OF TRAINING FUTURE SPECIALISTS IN ECONOMICS by Tetiana V. Kramarenko

“…Features of dialogue on the basis of Internet technologies are considered. The classification of types of educational dialogue by means of information technologies on pedagogical orientation is given. …”
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GEO-STRATEGIC INTERESTS OF UKRAINE AND ECONOMIC PARTNERSHIP WITH TURKEY by N. Karasova, A. Mishchenko

“…Broadening the scope of economic interests, together with the involvement of the strategic partner to resolve security issues, brings the dialogue between Ukraine and Turkey to a new level. …”
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A Biologically Inspired Trust Model for Open Multi-Agent Systems That Is Resilient to Rapid Performance Fluctuations by Zoi Lygizou, Dimitris Kalles

“…This study proposes a novel algorithm, incorporating a self-classification mechanism for providers to detect performance drops that are potentially harmful for service consumers. …”
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An Intelligent Carbon-Based Prediction of Wastewater Treatment Plants Using Machine Learning Algorithms by Anwer Mustafa Hilal, Maha M. Althobaiti, Taiseer Abdalla Elfadil Eisa, Rana Alabdan, Manar Ahmed Hamza, Abdelwahed Motwakel, Mesfer Al Duhayyim, Noha Negm

“…To overcome this issue, this paper proposed fusion of B-KNN with the ELM algorithm that is used. …”
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Clinical and diagnostic aspects of non-suicidal self-harming behavior by R. V. Bisaliev

“…The analysis of the works confirms the importance of a deeper and more detailed study of the problem of non-suicidal selfharming behavior from the standpoint of research methodology, including issues of diagnosis, classification and differentiated measures for the prevention of autoaggressive behavior.…”
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Conjugate gradient neural network in prediction of clay behavior and parameters sensitivities by Hamed Memarian fard

“…The objective of this paper is to provide a general view to describe this method in predicting mechanical behavior and constitutive modeling issues in geo-mechanical behavior of cohesive soil to be used in geo-mechanics. …”
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Prediction of attention deficit hyperactivity disorder using the comprehensive attention test: a large-scale machine learning approach by Kwang Su Cha, Bongseog Kim, Jun-Young Lee, Hanik Yoo, Hanik Yoo

“…However, the process is often limited by issues of reliability and availability.ObjectiveThis study aims to develop a robust machine learning (ML) model using large-scale data from the Comprehensive Attention Test (CAT) to predict ADHD diagnoses.MethodsA total of 11,429 participants were recruited across South Korea and underwent the CAT. …”
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Advanced Diabetic Retinopathy Detection with the R–CNN: A Unified Visual Health Solution by Sravya Valluri Sri, Srinivasu Parvathaneni Naga, Shafi Jana, Hołubowski Waldemar, Zielonka Adam

“…Common screening methods for retinal issues include fundus photography, OCT, and fluorescein angiography. …”
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Opinion Mining and Perceptions of Self-Determination in Videoconference Classrooms Using Machine Learning and Multidimensional Sentiment Frameworks by Bosede Iyiade Edwards

“…AML provides a broad sentiment classification with confidence scores that are more relatable and reliable. …”
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The Concept and Criteria of Insignificance of the Committed Administrative Offense by A. V. Popov, I. A. Fomina

“…Kupeeva and others, in different years raised issues related to the insignificance of offenses in their scientific activities. …”
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Superfoods: exploring sustainability perspectives between nutrient synthesizers and accumulators by G. Santunione, G. Montevecchi, G. Montevecchi

“…This perspective explores sustainability of “superfoods” by proposing a new classification system, dividing them into “synthesizers” and “accumulators” based on their origin. …”
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Quantum Vision Theory in Deep Learning for Object Recognition by Cem Direkoglu, Melike Sah

“…Attempts to relate the microscopic quantum world to our macroscopic world led to philosophical issues and questions. But what if the objects in human-scale world such as cats, dogs and bicycles have wave functions as well? …”
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Comparative analysis of the gut microbiota composition and diversity in Erinaceus amurensis from the Wandashan Mountain range area based on metagenomics by Xiuqi Jia, Qiang Li, Xinyu Yang, Dianwei Li, Zhimin Jin

“…Our results revealed significant differences (P < 0.01) in the classification and diversity of gut microbiota between genders and between adult and fetal Erinaceus amurensis. …”
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Secure internet of medical things based electronic health records scheme in trust decentralized loop federated learning consensus blockchain by Megha Kuliha, Sunita Verma

“…Two technical challenges are addressed: motivating federated learning members to contribute their time and effort, and ensuring accurate aggregation of the global model by the centralized federated learning server. To overcome these issues and establish a decentralized solution, the integration of blockchain and federated learning proves effective, offering enhanced security and privacy for smart healthcare. …”
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Study on lithology identification using a multi-objective optimization strategy to improve integrated learning models: a case study of the Permian Lucaogou Formation in the Jimusae... by Xili Deng, Jiahong Li, Junkai Chen, Cheng Feng

“…The experimental results show that the ST-ARO-LightGBM model outperforms other classification models in terms of classification evaluation metrics for different lithologies, with an overall classification accuracy improvement of 9.13%. …”
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Uncertainty-Aware Deep Learning for Robust and Interpretable MI EEG Using Channel Dropout and LayerCAM Integration by Óscar Wladimir Gómez-Morales, Sofia Escalante-Escobar, Diego Fabian Collazos-Huertas, Andrés Marino Álvarez-Meza, German Castellanos-Dominguez

“…Our approach offers a unified solution for uncertainty-aware, and interpretable MI classification.…”
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