Smart governance in Poland: The case study of the city of Łódź by Monika Namysłowska, Aleksandra Olbryk

“…It explores the possibilities for future implementation, providing timely and relevant insights for academia and practice alike. …”
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APPROACH TO BUILDING A GLOBAL MOBILE AGENT WAY BASED ON Q-LEARNING by Vitalii Martovytskyi, Oleksandr Ivaniuk

“…The purpose of the work is to create an algorithm for planning the route of autonomous mobile systems in space using the Q-learning algorithm. …”
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Parameter Estimation of a Partially Observed Hypoelliptic Stochastic Linear System by Nilton O. B. Ávido, Paula Milheiro-Oliveira

“…In this article, we address the problem of the parameter estimation of a partially observed linear hypoelliptic stochastic system in continuous time, a relevant problem in various fields, including mechanical and structural engineering. …”
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Research on the configuration scheme and system parameter optimization of pumps in the component cooling system and sea water system for HPR1000 by Weiguang Zhao, Pei Yu, Xiaobo Zeng, Guangming Fan, Zhaoming Meng, Changqi Yan

“…Based on a mathematical model for CCS and SWS that can be utilized for optimization calculations, we propose and validate an Improved Non-dominated Sorting Genetic Algorithm II (INSGA-II) with good algorithm performance, optimizing for system design costs and total operational costs as objectives, and provide a sensitivity analysis of relevant variables. …”
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Single-index logistic model for high-dimensional group testing data by Changfu Yang, Wenxin Zhou, Wenjun Xiong, Junjian Zhang, Juan Ding

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Evaluation Method of Water Injection Development Effects in Fractured Vuggy Carbonate Reservoirs: Case Study of F_I7 Strike-Slip Fault Zone by Jie Geng, Long Xiao, Ping Yue, Yun Xiao, Hongnan Yang, Simin Qu, Xia Wang

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A hybrid deep learning-based intrusion detection system for EV and UAV charging stations by Rosebell Paul, Mercy Paul Selvan

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Short-interval interhemispheric inhibition does not originate from the motor hotspot by David Emanuel Vetter, Andreas Jooß, Tuomas P. Mutanen, Gábor Kozák, Ulf Ziemann

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GPU-Accelerated Fock Matrix Computation with Efficient Reduction by Satoki Tsuji, Yasuaki Ito, Haruto Fujii, Nobuya Yokogawa, Kanta Suzuki, Koji Nakano, Victor Parque, Akihiko Kasagi

“…To address this issue, we propose a parallel algorithm that efficiently and suitably distributes the atomic operations; and significantly reduces the memory contention by decomposing the Fock matrix into multiple replicas, allowing each GPU thread to contribute to different replicas. …”
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Deep Learning-Based Feature Extraction Technique for Single Document Summarization Using Hybrid Optimization Technique by Jyotirmayee Rautaray, Sangram Panigrahi, Ajit Kumar Nayak, Premananda Sahu, Kaushik Mishra

“…Vectorization is performed using Term Frequency-Inverse Document Frequency (TF-IDF) to represent sentences in vector form. The hybrid CSO-HHO algorithm is subsequently applied to generate summaries. …”
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Improving machine learning models through explainable AI for predicting the level of dietary diversity among Ethiopian preschool children by Gizachew Mulu Setegn, Belayneh Endalamaw Dejene

“…The Ethiopian demographic health survey collected a dataset consisting of dietary information and relevant socioeconomic variables. The data were preprocessed to obtain quality data that are suitable for the ensemble ML algorithms to develop a model. …”
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Machine-Learning Assisted Prediction of Spectral Power Distribution for Full-Spectrum White Light-Emitting Diode by Jiajie Fan, Yutong Li, Irena Fryc, Cheng Qian, Xuejun Fan, Guoqi Zhang

“…Firstly, the continuous SPDs of a full-spectrum white LED driven by an electrical-thermal loading matrix are discretized by the multi-peak fitting with Gaussian model as the relevant spectral characteristic parameters. Then, the Back Propagation (BP) and Genetic Algorithm-Back Propagation (GA-BP) NNs are proposed to predict the spectral characteristic parameters of LEDs operated under any usage conditions. …”
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D-optimal candexch algorithm-enhanced machine learning UV-spectrophotometry for five-analyte determination in novel anti-glaucoma formulations and ocular fluids: four-color sustain... by Omkulthom Al kamaly, Lateefa A. Al-Khateeb, Michael K. Halim, Noha S. katamesh, Galal Magdy, Ahmed Emad F. Abbas

“…The key novelty was using the D-optimal design generated by MATLAB's candexch algorithm to construct a robust validation set, overcoming random data splitting limitations in machine learning chemometric methods and ensuring unbiased evaluation across concentrations. …”
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Quantum Computing in Medicine by James C. L. Chow

“…Additionally, key quantum techniques such as quantum algorithms, quantum machine learning (QML), and quantum-enhanced imaging are explained, highlighting their relevance in healthcare. …”
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Effects of Matching on Evaluation of Accuracy, Fairness, and Fairness Impossibility in AI-ML Systems by Phillip Honenberger, Omolade Ola, William Mapp, Pilhwa Lee

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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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Formation of the model for the commercialization of the company's digital intellectual assets by O. V. Loseva

“…Conclusions and Relevance: the algorithmic model of commercialization of new types of assets, digital intellectual assets, proposed in the article takes into account their specifi cs and factors aff ecting the initial cost and commercial potential. …”
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A surrogate approach to model groundwater level in time and space based on tree regressors by Pedro Martínez-Santos, Víctor Gómez-Escalonilla, Silvia Díaz-Alcaide, Manuel Rodríguez del Rosario, Héctor Aguilera

“…Certain dynamic variables also include a subset of lag periods to depict seasonality. Algorithms are tested on a set of climatic scenarios in order to observe their ability to predict stable, declining and recovering groundwater trends. …”
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CT-Derived Features as Predictors of Clot Burden and Resolution by Quentin Auster, Omar Almetwali, Tong Yu, Alyssa Kelder, Seyed Mehdi Nouraie, Tamerlan Mustafaev, Belinda Rivera-Lebron, Michael G. Risbano, Jiantao Pu

“…<b>Conclusions</b>: Our analysis suggests that cardiopulmonary and demographic features hold prognostic value for predicting PE resolution, whereas body composition and baseline clot burden do not. <b>Clinical Relevance</b>: Our identified prognostic factors may facilitate the follow-up procedures for patients diagnosed with acute PE.…”
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Institutional Features of the Development of Competitive Cryptocurrency by V. P. Bauer, V. V. Smirnov

“…The conclusions show that the most promising are the hybrid consensus algorithms which may include both the logic of two or more known algorithms and the original logic of a new algorithm. …”
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