The ZTF Source Classification Project. III. A Catalog of Variable Sources by Brian F. Healy, Michael W. Coughlin, Ashish A. Mahabal, Theophile Jegou du Laz, Andrew Drake, Matthew J. Graham, Lynne A. Hillenbrand, Jan van Roestel, Paula Szkody, LeighAnna Zielske, Mohammed Guiga, Muhammad Yusuf Hassan, Jill L. Hughes, Guy Nir, Saagar Parikh, Sungmin Park, Palak Purohit, Umaa Rebbapragada, Draco Reed, Daniel Warshofsky, Avery Wold, Joshua S. Bloom, Frank J. Masci, Reed Riddle, Roger Smith

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Identification of immune-associated biomarkers in diagnosing allergic rhinitis by Qi Cheng, PhD, Jie Fei, MS, Yuanfen Liao, MS, Hang Lin, MD, Yubao Cui, PhD

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Land use changes and unsustainable development in the southern ranges of the Alborz ecosystem(case study: Darabad watershed by Razieh Barjandi, Hassan Esmaeilzadeh, Romina Sayyahnia

“…Satellite images of TM1990, ETM+ 2004 and IRS2014 in four classes covering vegetation, built-up areas, arid areas and roads have been used for identifying unsustainable land use changes and practices in the case study area by using the Brovey algorithm and the Maximum Likelihood Method for the supervised classification algorithm and image enhancement. …”
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A Blockchain Network Communication Architecture Based on Information-Centric Networking by Yufei Zhou, Rui Han, Yang Li

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THE MODEL OF MANAGEMENT OF TRANSPORT FLOWS IN MODERN CONDITIONS by E. A. Safronov, K. E. Safronov, E. S. Semenova

“…This article discusses a new model of traffic management through an integrated analysis of transport and passenger flows, which will reduce the load on the road network (UDS). Thus solves the following main tasks: justification of the indicators and criteria of the system of transport service of the population of the city is the development of algorithm of calculation and download of UDS city. …”
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Interpretable machine learning approaches for predicting prostate cancer by using multiple heavy metal exposures based on the data from NHANES 2003–2018 by Zu-Ming You, Yuan-Sheng Li, Fan-Shuo Meng, Rui-Xiang Zhang, Chen-Xi Xie, Zhijiang Liang, Ji-Yuan Zhou

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Application of the A-Star Method for Evacuation Routes Using the Long-Range Wide Area Network (LoRaWAN) by Charles Daniel, Moh Ali Romli

“…The research methodology includes the development of an A-Star algorithm optimized with an adaptive heuristic function, integration with LoRaWAN-based sensors for real-time road condition monitoring, and simulations in various disaster scenarios. …”
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Adaptive Super-Twisting Controller-Based Modified Extended State Observer for Permanent Magnet Synchronous Motors by Lili Pan, Chunyun Fu, Bin Chen

“…A novel sliding mode control (SMC) strategy incorporating an adaptive super-twisting algorithm is developed for permanent magnet synchronous motors (PMSMs), effectively mitigating high-frequency chattering while enhancing external disturbance rejection capabilities. …”
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Enhanced probabilistic prediction of pavement deterioration using Bayesian neural networks and cuckoo search optimization by Feng Xiao, Biying Shi, Jie Gao, Huapeng Chen, Di Yang

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A novel driving lane change intent prediction model based on image data mining approach and transformer by Junbo He, Wei Guan, Xuanyuan Gou, Zhiqing Zhang

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Transport Capacity Maximization in Rail Mass Transit Stations Under Uncertainty by Adrian Fernandez-Rodriguez, Maria Dominguez, Asuncion P. Cucala, Antonio Fernandez-Cardador

“…At the upper level, a genetic algorithm determines the optimal sequence of train services and platform assignments. …”
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Forecasting technique of transport need for population of cities with high tourist potential during peak seasons by N. N. Yakunin, N. V. Yakunina, A. F. Fattakhova, A. A. Postnikova, M. R. Yanuchkov

“…The technique contains a mathematical model and algorithm.Discussion and conclusion. The use of this methodology will enable the organizer of transportation in resort cities to optimize the organization of regular passenger transportation by road during peak seasons.…”
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Explainable AutoML models for predicting the strength of high-performance concrete using Optuna, SHAP and ensemble learning by Muhammad Salman Khan, Tianbo Peng, Tianbo Peng, Muhammad Adeel Khan, Asad Khan, Mahmood Ahmad, Mahmood Ahmad, Kamran Aziz, Mohanad Muayad Sabri Sabri, N. S. Abd EL-Gawaad

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Interpretable Machine Learning for Multi-Energy Supply Station Revenue Forecasting: A SHAP-Driven Framework to Accelerate Urban Carbon Neutrality by Zhihui Zhao, Minjuan Wang, Jin Wei, Xiao Cen, Shengnan Du, Ziwen Wu, Huanying Liu, Weiqiang Wang

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Land Use Structure Optimization in Rail Transit Station Area under TOD (Transit Oriented Development) Mode by HE Jun, WANG Junfeng, ZHANG Dongchi

“…Based on NSGA Ⅱ (Non-dominated Sorting Genetic Algorithm Ⅱ), the land use structure optimization of Chenghua South Road Station area in Quanzhou section of the Xiamen-Zhangzhou-Quanzhou Intercity Railway R1 Line is taken as a case study to verify the effect of land use structure optimization. …”
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Potentialities and development of groundwater resources applying machine learning models in the extended section of Manbhum-Singhbhum Plateau, India by Arijit Ghosh, Biswajit Bera

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Research on vehicle scheduling for forest fires in the northern Greater Khingan Mountains by Jie Zhang, Junnan He, Shihao Ren, Pei Zhou, Jun Guo, Mingyue Song

“…Abstract In the face of forest fire emergencies, fast and efficient dispatching of rescue vehicles is an important means of mitigating the damage caused by forest fires, and is an effective method of avoiding secondary damage caused by forest fires, minimizing the damage caused by forest fires to the ecosystem, and mitigating the losses caused by economic development. this paper takes the actual problem as the starting point, constructs a reasonable mathematical model of the problem, for the special characteristics of the emergency rescue vehicle scheduling problem of forest fires, taking into account the actual road conditions in the northern pristine forest area, through the analysis of the cost of paths between the forest area and the highway, to obtain the least obstructed rescue paths, to narrow the gap between the theoretical model and the problem of the actual. …”
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Method for Automatic Segmentation of Vehicles in Digital Images by Ilya G. Zubov

“…However, the problem of developing segmentation algorithms ensuring improved quality of image segmentation remains to be solved.Aim. …”
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Algorithm performance study pulse suppression of auto-oscillation phenomena in the electromechanical system of the electric traction drive in braking mode electric traction drive s... by A. V. Klimov

“…The developed algorithm can be used on vehicles of different classes equipped with individual traction electric drive of driving wheels.…”
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Prediction of Spatiotemporal Distribution of Electric Vehicle Charging Load Based on Multi-Source Information by WANG Qiang, BI Yuhao, GAO Chao, SONG Duoyang

“…Additionally， the Dijkstra algorithm is improved to plan charging paths more effectively by including real-time road condition data. …”
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