Urban Multi-Scenario Land Use Optimization Simulation Considering Local Climate Zones by Jie Chen, Zikun Dong, Ruijie Shi, Geng Sun, Ya Guo, Zhuopeng Peng, Min Deng, Kaiqi Chen

“…The urban heat island (UHI) effect, a significant environmental challenge within the global urbanization process, poses severe threats to human health, ecological security, and life safety while also impacting the achievement of the United Nations Sustainable Development Goals. This study proposes a multi-scenario optimization method for urban thermal environments based on local climate zones (LCZs) in Changsha City. …”
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The application of the algorithm of the individualization of students’ physical education process by L.N. Barybina, N.A. Kolomiec, V.A. Komotskaja

“…Purpose: theoretically and experimentally justify the use of the algorithm of physical education process individualization in universities taking into account the psychophysiological features of students. …”
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Flower fertilization optimization algorithm with application to adaptive controllers by Hazim Albedran, Shaymaa Alsamia, Edina Koch

“…The FFO emulates the behavior of pollen grains navigating through the search space to fertilize ovules, effectively balancing exploration and exploitation mechanisms. The developed FFO is theoretically introduced through the article and rigorously evaluated on a diverse set of 32 benchmark optimization problems, encompassing unimodal, multimodal, and fixed-dimension functions. …”
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The Impact of AI-Personalized Recommendations on Clicking Intentions: Evidence from Chinese E-Commerce by Jiwang Yin, Xiaodong Qiu, Ya Wang

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Development of <i>OptiCon</i>: A Mathematical Model with a Graphical User Interface for Designing Sustainable Portland Cement Concrete Mixes with Budget Constraint by Angie Pineda, Rita Peñabaena-Niebles, Gilberto Martínez-Arguelles, Rodrigo Polo-Mendoza

“…Thus, <i>OptiCon</i> is operationalized through an algorithm, offering a replicable approach that can be adapted to various contexts, providing both a theoretical framework and a practical tool for state agencies, engineers, suppliers, and other stakeholders to adopt more environmentally friendly practices in concrete production. …”
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Didactic potential of using systems for visualization of algorithms in the process of teaching programming by V. D. Moglan

“…In order to increase the effectiveness of the educational process, it is proposed to use the visualizer of algorithms for teaching algorithms and programming for students of the “Applied Informatics” direction as future specialists in the information technologies.The purpose of the study is to increase the efficiency of the development of algorithmic thinking among students of the specialty “Computer Science”, due to the support and active use of the algorithm visualizer as an additional visual tool for learning when studying the course “Fundamentals of Programming”.Materials and research methods include the analysis of scientific and methodological literature on the subject under study, the analysis of the problem of developing algorithmic thinking by students, the practical implementation of the learning process of the basics of algorithmization and programming using the developed algorithms visualizer, the analysis of students’ survey results.Results. …”
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Applicability of Different Assimilation Algorithms in Crop Growth Model Simulation of Evapotranspiration by Jingshu Wang, Ping Li, Rutian Bi, Lishuai Xu, Peng He, Yingjie Zhao, Xuran Li

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Application of Genetic Algorithms for Finding Edit Distance between Process Models by Anna A. Kalenkova, Danil A. Kolesnikov

“…Recently, with the development of process mining techniques, it became important to adapt and apply existing graph analysis methods to examine process models (annotated graphs) discovered from event data. …”
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Theoretical investigation of the free fall of a spherical particle in a viscous fluid using continuous piecewise linearization method by Akuro Big-Alabo, Joseph Chukwuka Ofodu

“…Consequently, the integro-differential equation of the BBO model was transformed to a first-order nonlinear ordinary differential equation that accounts for the Basset force effect and was solved using the continuous piecewise linearization method (CPLM). The CPLM algorithm was developed based on the jerk-velocity relationship and is applicable to zero and non-zero initial conditions, steady motion, increasing or decreasing velocities and the corresponding acceleration and jerk responses. …”
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Least square algorithm for correcting high voltage arc edge discharge parameters by Zhixin Ou

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The possibilities of debtor segmentation algorithmic modeling in the context of commercial lending by Chernichenko S., Kotov R.

“…The theoretical part has to provide the theoretical basis for the research, reflect the terms and definitions overview and show the development of the basic complex concept – algorithmic modeling of commercial debtor segmentation. …”
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A collinear shower algorithm for NSL non-singlet fragmentation by Melissa van Beekveld, Mrinal Dasgupta, Basem Kamal El-Menoufi, Jack Helliwell, Pier Francesco Monni, Gavin P. Salam

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Specifics of the Algorithmic Prescriptions in the Learning Process of the Gymnastics Exercises’ Techniques by Victor BUFTEA

“…Obviously, algorithmic prescriptions condition the development of a strictly determined scheme and the uninterrupted performance of various motor actions. …”
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Development and validation of a machine learning-based predictive model for compassion fatigue in Chinese nursing interns: a cross-sectional study utilizing latent profile analysis by Lijuan Yi, Ting Shuai, Jingjing Zhou, Liang Cheng, Maria F. Jiménez-Herrera, Xu Tian

“…Objectives This study aimed to develop and validate a predictive model for detecting the risk of compassion fatigue among nursing students during their placement. …”
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Understanding the flowering process of litchi through machine learning predictive models by SU Zuanxian, NING Zhenchen, WANG Qing, CHEN Houbin

“…The objective of this study was to develop regression models for litchi inflorescence development duration and flowering duration using machine learning algorithms including RF and STR and to analyze and assess the importance and relevance of selected features on the flowering duration according to RF algorithm in order to provide a theoretical basis for the prediction of litchi flowering period and realizing precise regulation. …”
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Extended Blahut–Arimoto Algorithm for Semantic Rate-Distortion Function by Yuxin Han, Yang Liu, Yaping Sun, Kai Niu, Nan Ma, Shuguang Cui, Ping Zhang

“…To address scenarios where synonymous mappings are unknown, we develop an optimization framework that combines the EBA algorithm with simulated annealing. …”
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An Extended Analysis of the Correlation Extraction Algorithm in the Context of Linear Cryptanalysis by Christoph Graebnitz, Valentin Pickel, Holger Eble, Frank Morgner, Hannes Hattenbach, Marian Margraf

“…In cryptography, techniques and tools developed in the subfield of linear cryptanalysis have previously successfully been used to allow attackers to break many sophisticated cryptographic ciphers. …”
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Fast recursive algorithm for implementation of MIMO ZF-SIC detection by Zuo-liang YIN, Xing-peng MAO, Qin-yu ZHANG, Nai-tong ZHANG

“…To reduce the complexity of the zero-forcing(ZF)detection with successive interference cancellation(SIC)in a Vertical Bell Labs layered space-time(V-BLAST)systems,a computationally efficient recursive algorithm was proposed.A fast implementation of the proposed algorithm was developed and its complexity was analyzed in detail.Theoretical analysis and simulations demonstrate significant advantages of the proposed algorithm over the fast recursive algorithm (FRA)on complexity,practicability and storage requirements.Moreover,its performance on symbol error rate(SER)is close to optimal under practical conditions.These advantages make the proposed algorithm more efficient and practical.…”
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RSU deployment planning based on approximation algorithm in urban VANET by Junyu ZHU, Chuanhe HUANG, Xiying FAN, Kuangyu QIN, Bin FU

“…To minimize the number of RSU deployed to cover a specific area,a c street model transforming the area covering problem to streets covering problem was designed,and a greedy-based polynomial (GBP) time approximation algorithm was developed to obtain the optimal RSU deployment for area coverage.For complex urban environments,a Cue model (complex urban environments model) was proposed.In this model,the target area was divided into different partitions.Then,based on shifting strategy,a polynomial time approximation scheme was designed.Theoretical analysis that include the approximation ratio and time complexity of the proposed algorithm were also presented.Simulation results show that GBP can efficiently solve the coverage problem in urban VANET.…”
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LRST: searching tree anti-collision algorithm with low-redundancy by Qiong HUANG, Jiang-tao LING, Min ZHANG, Xiao-long YANG

“…To resolve this problem, a searching tree anti-collision algorithm with low-redundancy on the basis of regressive-style dynamic searching tree algorithm was proposed. …”
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