Underwater Acoustic Signal Prediction Based on MVMD and Optimized Kernel Extreme Learning Machine by Hong Yang, Lipeng Gao, Guohui Li

“…Aiming at the chaotic characteristics of underwater acoustic signal, a prediction model of grey wolf-optimized kernel extreme learning machine (OKELM) based on MVMD is proposed in this paper for short-term prediction of underwater acoustic signals. …”
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Optimization of Train Operation Plans for Urban Rail Transit Based on Platform Crowding Degree by WANG Yeliu, LIU Yong, LIANG Ye

“…A multi-objective integer planning model was constructed for the multiple-route operation of trains, aiming to minimize the maximum platform crowding degree and achieve the optimal match between train capacities and transportation volumes. …”
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STRENGTH SIMULATION AND TOPOLOGY OPTIMIZATION DESIGN OF OFF-ROAD VEHICLES’ HUB MOTOR HOUSING by QI Chang, MA Yuanhang, YANG Lining, YANG Shu, WANG Bolong

“…Aiming at the issues of fracture and weight reduction in the wheel hub motor housing of an off-road vehicle, a structural strength finite element simulation analysis and structural topology optimization design were conducted. …”
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Optimizing CMV therapy: Population pharmacokinetics and Monte Carlo simulations for letermovir and maribavir dosage. by Yeleen Fromage, Hamza Sayadi, Sophie Alain, Pierre Marquet, Gilles Peytavin, Jean-Baptiste Woillard

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Optimizing sustainable solar panel recycling: A feasibility study of mechanical recycling method by Sukaviriya Sarakorn, Ratanakuakangwan Sudlop

“…A mixed-integer linear programming model is applied to optimize the equipment mix for each process, minimizing capital expenditure. …”
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Key performance indicators for optimizing academic performance and course design in online educational platforms by Sonia Val, Alejandro Quintas

“…These findings have practical implications for educators and institutions aiming to enhance adaptive learning systems, optimize student engagement, and design data-informed interventions in online education. …”
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Speed and Path Planning Optimization of Autonomous Vehicle to Minimize Lap Time in Racing Track by Young-Jin Roh, Ji-Ung Im, Jong-Hoon Won

“…This study proposes a trajectory optimization method for racing vehicles, aiming to maximize speed and path planning performance by estimating tire friction coefficients. …”
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Multi-Objective Path Optimization Method for Maritime UAVs Equipped with Inertial Navigation Systems by Zhao Li, Weihao Ma, Haixiang Pang

“…A multi-objective route planning model is then developed for a UAV, aiming to minimize both the flight distance and the number of positioning corrections. …”
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Traffic Structure Optimization in Historic Districts Based on Green Transportation and Sustainable Development Concept by Qiuping Wang, Hao Sun

“…By iterating the Nash equilibrium solution of the model, the optimal structure and the optimal share of the traffic modes in the historical districts can be predicted. …”
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Joint Optimization Design of UAV-Active RIS System Based on a Quadratic Transformation by Yi Peng, Haolin Li, Qingqing Yang

“…To solve the nonconvex fractional programming problem with highly coupled multiple variables, the objective function is split into three sub-problems: the transmit power allocation of the base station, the phase shift of active RIS, and the trajectory optimization of the UAV. The quadratic transformation method is used to incorporate the influence of thermal noise into the optimization framework. …”
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An Anti-Range-Deception-Jamming Method for Networked Moving Radar Based on Trajectory Optimization by Xiaofei Han, Huafeng He, Chuan He, Qi Zhang, Liyuan Wang, Tao Zhou, Xin Zhang

“…Aiming at the problem that the anti-range-deception-jamming effect of a networked moving radar system is severely affected by the spatial distribution of each radar, an anti-range-deception-jamming method for networked moving radar based on trajectory optimization is proposed. …”
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Chain hybrid feature selection algorithm based on improved Grey Wolf Optimization algorithm. by Xiaotong Bai, Yuefeng Zheng, Yang Lu, Yongtao Shi

“…Hybrid feature selection algorithm is a strategy that combines different feature selection methods aiming to overcome the limitations of a single feature selection method and improve the effectiveness and performance of feature selection. …”
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Optimization Method for Transit Signal Priority considering Multirequest under Connected Vehicle Environment by Song Xianmin, Yuan Mili, Liang Di, Ma Lin

“…Aiming at reducing per person delay, this paper presents an optimization method for Transit Signal Priority (TSP) considering multirequest under connected vehicle environment, which is based on the travel time prediction model. …”
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Detecting cyber attacks in vehicle networks using improved LSTM based optimization methodology by C. Jayasri, V. Balaji, C. M. Nalayini, S. Pradeep

“…Detection is executed through an Improved Long Short-Term Memory (ILSTM) model, whose parameters are optimized using the Crocodile Optimization Algorithm (COA), aiming to maximize classification accuracy. …”
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Enhancing Efficiency in Industrial Metal Roof Replacement: Utilizing Goal Programming for Cost Optimization by Wilson Sutanto, Stefanus Hanifa Prajitna, Christian Harito

“…Keywords: Goal Programming, Construction Industry, Project Management, Time-Cost Trade-off, Optimization…”
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Optimization of Simultaneous Delivery and Pickup Wagon Scheme on Hybrid Siding Network of Railway Terminal by Bing Li, Ce Yun, Guanglan Xu, Xiaoqian Zhou, Hua Xuan

“…Aiming at the local freight train transit system in railway terminal, the optimization of simultaneous delivery and pickup wagon scheme on hybrid siding network is presented. …”
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Green vehicle routing optimization based on dynamic constraint selection co-evolutionary algorithm by Lu-jie Zhou, Hai-fei Zhang, Jun-hao Fu

“…Abstract Aiming at the problems of single solution objective in the existing green vehicle routing optimization process and real-time speed change during vehicle travel, a multi-objective green vehicle routing problem with time window constraints in time-varying conditions(MOGVRPTW-TV) is established, then a co-evolutionary framework-based constrained multi-objective evolutionary algorithm for the solving of the model is proposed. …”
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Wind Turbines Around Cut-In Speed: Startup Optimization and Behavior Analysis Reported to MPP by Cristian Paul Chioncel, Elisabeta Spunei, Gelu-Ovidiu Tirian

“…The paper thus outlines essential elements concerning the functionality of high-power wind turbines that utilize wound rotor induction generators, aiming to guarantee optimal performance from the moment the wind speed reaches the cut-in threshold.…”
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Adaptive Handover Optimization in LEO Satellite Networks Using Energy-Aware Q-Learning by Unalido Ntabeni, Bokamoso Basutli, Hirley Alves, Joseph Chuma

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Improved Fuel Consumption Estimation for Sailing Speed Optimization: Eliminating Log Transformation Bias by Qi Hong, Xuecheng Tian, Yong Jin, Zhiyuan Liu, Shuaian Wang

“…Sailing Speed Optimization (SSO) is a crucial problem in shipping operations management, aiming to reduce both operating costs and carbon dioxide emissions. …”
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