INTELLIGENT TECHNOLOGY FOR OPTIMIZING THE PROJECT-BASED APPROACH TO TEACHING STUDENTS USING LEARNING MANAGEMENT SYSTEMS by Volodymyr Sokol, Mykhaylo Godlevskyi, Mariia Bilova, Roman Tupkalenko

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Machine Learning for Predicting Required Cross-Sectional Dimensions of Circular Concrete-Filled Steel Tubular Columns by Anton Chepurnenko, Samir Al-Zgul, Vasilina Tyurina

“…This problem has not been solved by machine learning methods before. The main focus is on automating the design process of CFST columns using the CatBoost algorithm and artificial neural networks. …”
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Iris Recognition System Using Advanced Segmentation Techniques and Fuzzy Clustering Methods for Robotic Control by Slim Ben Chaabane, Rafika Harrabi, Hassene Seddik

“…Then, the bald eagle search (BES) algorithm is employed to locate and isolate the iris region. …”
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Optimal Allocation of Hydrogen Storage Capacity Based on Improved Cat Swarm Optimization by Zhenda HU, Wenjin JIANG, Linyao ZHANG, Xiaodong YANG, Yichao ZOU, Kai WANG

“…Based on the hydrogen energy storage system, a hybrid microgrid system with wind power generation and hydrogen energy storage system as the main components has been constructed. This article optimizes the capacity configuration of electrolytic cells, fuel cells, and hydrogen storage tanks in hydrogen energy storage systems. …”
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Machine learning methods in the differential diagnosis of difficult-to-classify types of diabetes mellitus by N. V. Rusyaeva, I. I. Golodnikov, I. V. Kononenko, T. V. Nikonova, M. V. Shestakova

“…This manuscript presents an analysis of the main automated algorithms for the differential diagnosis of diabetes, developed in recent years.…”
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Measurement of spatial heterogeneity in street restorative perceptions and street refinement design by Yalun Lei, Qingqing Li, Jingwen Tian, Jia Hu, Jixiang Jiang

“…Using the random forest (RF) algorithm and restorative component scales (RCS), we assessed residents’ perceptions of street restoration in Shanghai’s Huangpu District. …”
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Using Artificial Intelligence in Employment: Problems and Prospects of Legal Regulation by D. A. Novikov

“…Objective: to identify the legal problems of using artificial intelligence in hiring employees and the main directions of solving them.Methods: formal-legal analysis, comparative-legal analysis, legal forecasting, legal modeling, synthesis, induction, deduction.Results: a number of legal problems arising from the use of artificial intelligence in hiring were identified, among which are: protection of the applicant’s personal data, obtained with the use of artificial intelligence; discrimination and unjustified refusal to hire due to the bias of artificial intelligence algorithms; legal responsibility for the decision made by a generative algorithm during hiring. …”
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IGWO-MSVR model for predicting stress in coal seam during drilling process by Jian Tan, Yanfeng Geng, Liangke Xu

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Methodology for the development of identification criteria of stone fruit brandy by L. N. Krikunova, S. M. Tomgorova, V. A. Zaharova

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Optimization of OPM-MEG Layouts with a Limited Number of Sensors by Urban Marhl, Rok Hren, Tilmann Sander, Vojko Jazbinšek

“…We applied a sequential selection algorithm (SSA), originally developed for body surface potential mapping in electrocardiography, which requires a large database of full-head MFMs. …”
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An efficient privacy-preserving multilevel fusion-based feature engineering framework for UAV-enabled land cover classification using remote sensing images by S. Nagadevi, G. Abirami, R. Brindha, T. Prabhakara Rao, Gyanendra Prasad Joshi, Woong Cho

“…UAVs have numerous manifest benefits over traditional manned aircraft, mainly regarding operator safety, operational expense, and the possibility of complex/hazardous environments such as land cover classification and accessibility for civil applications. …”
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A Two-Tiered Bidirectional Atrous Spatial Pyramid Pooling-Based Semantic Segmentation Model for Landslide Classification Using Remote Sensing Images by G. NaliniPriya, E. Laxmi Lydia, Reem Alshenaifi, Radhika Kavuri, Mohamad Khairi Ishak

“…At last, the pelican optimization algorithm (POA) methodology is implemented to fine-tune the parameters involved in the RNN model. …”
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A Double Resistive–Capacitive Approach for the Analysis of a Hybrid Battery–Ultracapacitor Integration Study by Adrian Chmielewski, Piotr Piórkowski, Krzysztof Bogdziński, Paweł Krawczyk, Jakub Lorencki, Artur Kopczyński, Jakub Możaryn, Ramon Costa-Castelló, Stepan Ozana

“…Limitations of the proposed models are also discussed. Finally, the main advantages of HESSs are highlighted in terms of energy and open-circuit voltage (OCV) characteristics.…”
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Identification of genes associated with resistance trait to VPAHPND in Pacific white shrimp (Litopenaeus vannamei) using Bulk Segregation Analysis (BSA) by Zhenning Bao, Yang Yu, Pengfei Lin, Fuhua Li

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Accurate and robust prediction of Amyloid-β brain deposition from plasma biomarkers and clinical information using machine learning by Jiayuan Xu, Andrew J. Doig, Sofia Michopoulou, Sofia Michopoulou, Petroula Proitsi, Petroula Proitsi, Fumie Costen, The Alzheimer's disease neuroimaging initiative

“…Amyloid-β (Aβ) accumulation in the brain is the main hallmark of AD pathophysiology. Positron Emission Tomography (PET) imaging is the most accurate method to identify Aβ deposits in the brain, but it is expensive and not widely available. …”
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Design and simulation of reduced switch converter based solar PV and energy storage fed shunt active power filter with butterfly optimization by Koganti Srilakshmi, Sravanthy Gaddameedhi, Alapati Ramadevi, Praveen Kumar Balachandran, J. Ganesh Prasad Reddy, Ramprasad Vangalapudi

“…The gain values of the proportional integral controller for the shunt and energy storage system are considered as control parameters and properly adjusted utilizing a nature-inspired butterfly optimization algorithm. This proposed work seeks to accomplish the following main goals: (1) stabilizing DC bus voltage within a short period of time (sec) during load and sun irradiation variations (2) suppressing harmonics in current waveforms thereby improving power factor. …”
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Reduced-dose deep learning iterative reconstruction for abdominal computed tomography with low tube voltage and tube current by Shumeng Zhu, Baoping Zhang, Qian Tian, Ao Li, Zhe Liu, Wei Hou, Wenzhe Zhao, Xin Huang, Yao Xiao, Yiming Wang, Rui Wang, Yuhang Li, Jian Yang, Chao Jin

“…This study investigated the feasibility of a deep learning iterative reconstruction algorithm (Deep IR) in reducing the radiation dose while improving the image quality for abdominal computed tomography (CT) with low tube voltage and current. …”
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Malware Classification Using Few-Shot Learning Approach by Khalid Alfarsi, Saim Rasheed, Iftikhar Ahmad

“…Hardware Performance Counter data are used by machine learning algorithms in security mechanisms, such as hardware-based malware detection, to categorize and detect malware. …”
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Unveiling geological complexity in the Serra Dourada Granite using self-organizing maps and hierarchical clustering: Insights for REE prospecting in the Goiás Tin Province, Brasíli... by Guilherme Ferreira da Silva, Marcos Vinícius Ferreira, Lucy Takehara Chemale, Igor Vasconcelos Santana, Nilson Francisquini Botelho

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What is known about the health of location-based and online web-based digital labour platform workers? A scoping review of the literature by Nuria Matilla-Santander, Filippa Lundh, Signild Kvart, Sherry L. Baron, Theo Bodin, Jessie Gevaert, Carin Håkansta, Julio C. Hernando, Carles Muntaner, Bertina Kreshpaj

“…Limited evidence suggests a correlation between business practices—algorithmic management and rating systems—and poor mental health. …”
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