Artificial Intelligence in Retail: Benefits and Risks Associated With Mobile Shopping Applications by Victoria Stanciu, Sînziana-Maria Rîndașu

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FPGA implementation of normalized correlation function by Krzysztof Mroczek

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LSM tree read-deletion operations optimization through the implementation of cuckoo filters by Humberto Cesar Villalta Valverde, KwangSik Kim, Kisu Kim, Jinman Kwon, Jaechoon Lim, Yongjoo Jun

“…Cuckoo filters are a perfect choice for saving space and also for deleting keys that are not needed in the algorithm so the filters are synchronized with the keys of all the SSTables. …”
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Software Project Scheduling Problem: A Review by Javad Pashaei Barbin, Mahdi Jalali

“…This article reviews SPSP using classical models and artificial intelligence algorithms.</p>…”
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B. D. Karvasarsky and psychotherapy establishment as a distinct discipline, homo faber, to the 90-th anniversary since birth by A. V. Vasileva, T. A. Karavaeva, E. B. Mizinova

“…The article describes the crucial points of this discipline development, presents the main key studies of this mental health field. The Leningrad-Saint-Petersburg psychotherapy school maid a serious impact in the modern Russian neurosology cornerstone issues, that allowed to consider the multidimensional aspects of this pathology. …”
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THE LIMITS OF THE APPLICABILITY OF ARTIFICIAL INTELLIGENCE TECHNOLOGIES IN THE ADMINISTRATION OF CRIMINAL JUSTICE by RUDENKO D.A.

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Integrating vision transformer-based deep learning model with kernel extreme learning machine for non-invasive diagnosis of neonatal jaundice using biomedical images by M. Eliazer, Sibi Amaran, K. Sreekumar, A. Vikram, Gyanendra Prasad Joshi, Woong Cho

“…Abstract Birth complications, particularly jaundice, are one of the leading causes of adolescent death and disease all over the globe. The main severity of these illnesses may diminish if scholars study more about their sources and progress toward effective treatment. …”
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An automated adaptive trading system for enhanced performance of emerging market portfolios by Cristiana Tudor, Robert Sova

“…Abstract One of the most notable developments in the asset management industry in recent decades has been the growth of algorithmic trading. At the same time, significant structural changes in the industry have occurred, with passive investing gaining momentum. …”
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Exploring the Impact of Artificial Intelligence on Healthcare Management: A Combined Systematic Review and Machine-Learning Approach by Vito Santamato, Caterina Tricase, Nicola Faccilongo, Massimo Iacoviello, Agostino Marengo

“…The scientific novelty of the study lies in its integrated approach, combining systematic review and predictive algorithms to provide a comprehensive understanding of AI’s role in improving healthcare management across different contexts. …”
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Electroencephalography Artifact Removal using Optimized Radial Basis Function Neural Networks by Shoorangiz Shams Shamsabad Farahani, Mohammad Mahdi Arefi, Amir Hossein Zaeri

“…Given the importance and the need for an automated method to remove artifacts, in this paper some intelligent automated methods are proposed which are composed of three main parts as extraction of effective input, filtering and filter optimization. …”
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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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Optimal scheduling and energy management of a multi-energy microgrid with electric vehicles incorporating decision making approach and demand response by Genfu Xiao, Huan Liu, Javad Nabatalizadeh

“…The main objective of the research is to minimize operational costs and emissions in the face of uncertain conditions. …”
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A reliable framework for supply chain management using cluster based blockchain for intelligent industrial automation by Eesa Alsolami, Mahmoud Ahmad Al-khasawenh, Ala Abdulsalam Alarood, Ahmed Omar Alzahrani, Ahmed Aalameen Ibraheem, Mazdak Zamani

“…In the modern era of industrial automation, technology entirely depends on intelligent computing algorithms. This paper proposes a reliable framework for supply chain management using cluster-based blockchain technology. …”
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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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