Electric Bus Charging Schedules Relying on Real Data-Driven Targets Based on Hierarchical Deep Reinforcement Learning by Jiaju Qi, Lei Lei, Thorsteinn Jonsson, Lajos Hanzo

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An Improved Particle Swarm Optimization for Solving Bilevel Multiobjective Programming Problem by Tao Zhang, Tiesong Hu, Yue Zheng, Xuning Guo

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Detect Flame Fire Using Fractal Geometry in Color Digital Images by Laheeb Ibrahim, Khalil Alsaif, Hasan Alnima

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MPMFFT based DCA-DBT integrated probabilistic model for face expression classification by Kapil Juneja

“…To acquire the features, three local region extraction models are used on both broad and responsive facial areas. …”
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Multi-Agent Optimizing Traffic Light Signals Using Deep Reinforcement Learning by Zahra Fereidooni, Luciano Alessandro Ipsaro Palesi, Paolo Nesi

“…Deep Reinforcement Learning (DRL) has emerged as a promising approach to sequential decision-making, offering adaptive and efficient solutions for traffic management. …”
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Predicting Weather Disruptions for the ICC Champions Trophy 2025 in Pakistan Using Machine Learning and Data Analytics by Syeda Faiza Nasim, Umm-e-Kulsoom, Syeda Alishba Fatima, Salka Naushad

“…Our approach comprised combining real-time analytics with historical weather data from Open-Meteo, as well as using Python tools and the Machine Learning algorithm to predict rain during a game. Power BI is used to show the results, giving a thorough understanding of the climatic trends in three important cities: Karachi, Lahore, and Rawalpindi. …”
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CDBR: A semi-automated collaborative execute-before-after dependency-based requirement prioritization approach by Ankita Gupta, Chetna Gupta

“…The presented approach targets three major constraints rarely addressed in existing work, namely dependencies among requirements, communication among stakeholder and developers and the issue of scalability. …”
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A Hybrid MCDM-Grey Wolf Optimizer Approach for Multi-Objective Parametric Optimization of μ-EDM Process by Partha Protim Das

“…This paper attempts to demonstrate the applicability of three well-known multi-criteria decision-making (MCDM) techniques, including the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), multi-attributive border approximation area comparison (MABAC), and complex proportional assessment (COPRAS) methods, separately hybridized with the grey wolf optimization (GWO) algorithm. …”
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An approach to forecast production profiles, oil-gas ratio and water contamination probabilistic assessment by D. V. Balin, O. V. Balina, E. I. Mamchistova

“…The variants of variables implementation were studied, the review of experimental designs and optimiza­tion algorithms was done. At the first step, the simulation model was history matched using Differential Evolution algorithm, since its initial version had problems with phase withdrawals and pressure dynamics. …”
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Research on cultivating students’ creative thinking ability in art design teaching based on machine learning by Ke Xue

“…By analyzing system requirements and employing AI visual elements, the three models: the user, the window, and the display, are utilized to create a robust system hierarchy. …”
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Online Intelligent Monitoring System and Key Technologies for Dam Operation Safety by Shuangping Li, Bin Zhang, Guangqin Tong, Yonghua Li, Zuqiang Liu, Bo Shi, Jun Geng, Dingming Liu, Huawei Wang, Qingsong Ai, Jianxin Ding, Zheng Gan

“…Leveraging our proprietary innovations, including a GIS + BIM digital base, smart algorithm matrix, and BIM-based finite element computing system, we successfully developed the Three Gorges Dam intelligent monitoring platform, delivering five core value propositions: (1) Achieve real-time and historical aggregation of comprehensive data with dam safety management as the core, fully encompassing various types of environmental monitoring data. (2) Utilizing “GIS + BIM” as the technical foundation, construct a digital twin geometric model of the hub monitoring physical world, enabling intuitive and precise representation of engineering status. (3) Implement online rapid structural calculation, analysis, and early warning based on “BIM + Finite Element” technology, providing timely and reliable support for safety decision-making. (4) Establish a monitoring data analysis model through machine learning intelligent algorithms, deeply mining data value to enable intelligent prediction of potential safety hazards. (5) Promote digital transformation of manual inspection workflows using “IOT + Micro-INS” technology, enhancing inspection efficiency and accuracy. …”
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APPROXIMATELY SINGULAR WAVELET by V. M. Romanchak

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A Battery Electric Vehicle Transportation Network Design Model with Bounded Rational Travelers by Xu Xin, Tao Zhang, Cui Li, Yanran Liu, Lingyu Gao, Yuchuan Du

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CUSTOMER BEHAVIOR TRANSFORMATION: HISTORY AND TODAY by N. V. Barinova

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Risk prediction and effect evaluation of complicated appendicitis based on XGBoost modeling by Sunmeng Chen, Jianfu Xia, Beibei Xu, Yi Huang, Miaomiao Teng, Juyi Pan

“…Methods Patient data from 773 appendectomies were retrospectively collected, important features were selected using random forests, and the data were divided into training and test sets in a 3:1 ratio. An integrated learning algorithm, Extreme Gradient Boosting (XGBoost), was introduced to predict the risk of CAP and compared with Support Vector Machine (SVM), Random Forest (RF), and Decision Tree (CART) algorithms. …”
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Reconstruction and identification of pairs of collimated $$\tau $$ τ -leptons decaying hadronically using $$\sqrt{s}=13$$ s = 13 TeV pp collision data with the ATLAS detector by ATLAS Collaboration

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On energy-balanced backpressure routing mechanisms for stochastic energy harvesting wireless sensor networks by Zheng Liu, Xinyu Yang, Peng Zhao, Wei Yu

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Modified Immediate Sequential Bilateral Cataract Surgery (Clinical Cases) by I. B. Medvedev, D. F. Pokrovsky

“…The modification (compared to the traditional one) of the technology of surgical intervention was based on the inclusion in the algorithm of a long (at least 60 minutes) break between operations for the purpose of a comprehensive ophthalmological examination with a further decision to perform an operation on the second eye.Results. …”
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Cooperative control method for multi-agent ground fracturing truck group based on offline reinforcement learning by RuYi Wang, HuiShen Jiao, YingCheng Tian, Yi Zhao, SiQi Wang, Ke Zhang, Bo Huang, QinRui Sun, DanDan Zhu

“…The core of this method is an improved algorithm based on the TD3, which is enhanced by the incorporation of the CQL algorithm to improve the stability of the collaborative control strategy. …”
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Multi-Armed Bandit Approaches for Location Planning with Dynamic Relief Supplies Allocation Under Disaster Uncertainty by Jun Liang, Zongjia Zhang, Yanpeng Zhi

“…The new algorithm is compared with two widely used multi-armed bandit algorithms: the <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi>ϵ</mi></semantics></math></inline-formula>-Greedy algorithm and the Upper Confidence Bound (UCB) algorithm. …”
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