A network-based approach on detecting dredgers’ illegal behavior of dumping dredged sediments by Rongxin Zhang, Fei Yuan, En Cheng

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Optimal Poisson Cognitive System with Markov Learning Model by A. A. Solodov

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Optimization of Communication Signal Adversarial Examples by Selectively Preserving Low-Frequency Components of Perturbations by Yi Zhang, Lulu Wang, Xiaolei Wang, Dianxi Shi, Jiajun Bai

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A Multiobjective Mathematical Model for Truck Scheduling Problem in Multidoor Cross-Docking System by Mahziar Taghizadeh, Amir Abbas Shojaie, Amir Homayoun Sarfaraz, Sadigh Raissi

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Game-Theoretic Cooperative Task Allocation for Multiple-Mobile-Robot Systems by Lixiang Liu, Peng Li

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Carbon market and emission reduction: evidence from evolutionary game and machine learning by Keyang Zhan, Zhengning Pu

“…This paper establishes an evolutionary game model to analyze the interaction between the government and enterprises and applies the Gradient Boosting Decision Tree (GBDT) algorithm to identify carbon emission reduction effects of the carbon market based on carbon emission data from 2000 to 2019. …”
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Increasing the efficiency of teaching the topic "Burns, frostbites, electric traumas" by means of modern educational technology by Nor N.N.

“…After the discussion the proper decision on the common features of the first aid, treatment, and the algorithm of action is made. …”
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Monthly Electric Energy Consumption Forecasting Using Multiwindow Moving Average and Hybrid Growth Models by Ming Meng, Wei Shang, Dongxiao Niu

“…Monthly electric energy consumption forecasting is important for electricity production planning and electric power engineering decision making. Multiwindow moving average algorithm is proposed to decompose the monthly electric energy consumption time series into several periodic waves and a long-term approximately exponential increasing trend. …”
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A Comprehensive Comparison between Multi-Objective Optimization Methods for Composite Hexagonal-Triangle Grid Structure using FSDT under External Hydrostatic Pressure by Mahsa Soheil Shamaee

“…To optimize the design, three multi-objective optimization algorithms are employed: Nondominated Sorting Genetic Algorithm II (NSGAII), Multiobjective Particle Swarm Optimization (MOPSO), and a hybrid method that combines NSGAII and MOPSO. …”
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Deep reinforcement learning approach for real-time airport gate assignment by Haonan Li, Xu Wu, Marta Ribeiro, Bruno Santos, Pan Zheng

“…The methodology combines a tailored Markov Decision Process (MDP) formulation with the Asynchronous Advantage Actor–Critic (A3C) architecture. …”
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The Eve of Global Conflict or Contra Spem Spero? by O. V. Gaman-Golutvina

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Multiobjective TOU Pricing Optimization Based on NSGA2 by Huilan Jiang, Bingqi Liu, Yawei Wang, Shuangqi Zheng

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A Hybrid Grey Based KOHONEN Model and Biogeography-Based Optimization for Project Portfolio Selection by Farshad Faezy Razi, Abbas Toloie Eshlaghy, Jamshid Nazemi, Mahmood Alborzi, Alireza Pourebrahimi

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A New Approach Based on the Learning Effect for Sequence-Dependent Parallel Machine Scheduling Problem under Uncertainty by Maryam Ebrahimi, Parviz Dinari, Mohamad Samaei, Rouhollah Sohrabi, Soheil Sherafatianfini

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Machine-learning models for differentiating benign and malignant breast masses: Integrating automated breast volume scanning intra-tumoral, peri-tumoral features, and clinical info... by Meixue Dai, Yueqiong Yan, Zhong Li, Jidong Xiao

“…Background Differentiating between benign and malignant breast masses is critical for clinical decision-making. Automated breast volume scanning (ABVS) provides high-resolution three-dimensional imaging, addressing the limitations of conventional ultrasound. …”
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Driving Pattern Analysis, Gear Shift Classification, and Fuel Efficiency in Light-Duty Vehicles: A Machine Learning Approach Using GPS and OBD II PID Signals by Juan José Molina-Campoverde, Juan Zurita-Jara, Paúl Molina-Campoverde

“…In future work, we propose integrating this algorithm into driver assistance systems (ADAS) and exploring its applicability in autonomous vehicles to enhance real-time decision making. …”
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Research on Long-Term Scheduling Optimization of Water–Wind–Solar Multi-Energy Complementary System Based on DDPG by Zixing Wan, Wenwu Li, Mu He, Taotao Zhang, Shengzhe Chen, Weiwei Guan, Xiaojun Hua, Shang Zheng

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Predicting patients’ sentiments about medications using artificial intelligence techniques by Amir Sorayaie Azar, Samin Babaei Rikan, Amin Naemi, Jamshid Bagherzadeh Mohasefi, Uffe Kock Wiil

“…This study used a large medication review dataset to perform a SA of medications. Three scenarios were considered for classification, including two, three, and ten classes. …”
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Neural operators for hydrodynamic modeling of underground gas storage facilities by D. D. Sirota, K. A. Gushchin, S. A. Khan, S. L. Kostikov, K. A. Butov

“…The described method is shown to be capable of successful application to problems of three-dimensional gas filtration in a Cartesian coordinate system at objects with many wells. …”
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Integrated Carbon Flow Tracing and Topology Reconfiguration for Low-Carbon Optimal Dispatch in DG-Embedded Distribution Networks by Rao Fu, Guofeng Xia, Sining Hu, Yuhao Zhang, Handaoyuan Li, Jiachuan Shi

“…To efficiently solve this complex constrained model, a novel Q-learning enhanced Moth Flame Optimization (QMFO) algorithm was proposed. QMFO synergized the global search capability of the Moth Flame Optimization (MFO) algorithm with the adaptive decision-making of Q-learning, embedding an adaptive exploration strategy to significantly enhance solution efficiency and accuracy for multi-objective problems. …”
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