An Extended Firefly Algorithm for Enhanced Information Diffusion with Multi-Factor Considerations by Amjad Alloush, Ghaida Rebdawi:, Mohammad Saeed Abou Trab

“…The proposed model is evaluated using multiple real-world datasets, including Twitter and Reddit, and compared against state-of-the-art optimization-based diffusion models such as PSO, ACO, and GWO. …”
Get full text

What Strategy Central Nervous System Uses to Perform a Movement Balanced? Biomechatronical Simulation of Human Lifting by Ali Leylavi Shoushtari

“…The human body with its whole numerous joints considered as a hyper redundant structure which caused to be seemed that it is impossible for CNS to control and signal such system. To solve the kinematic redundancy in previous studies it is hypothesize that CNS functions as an optimizer, such of that are the task-based algorithms which search to find optimal solution for each specific task. …”
Get full text

Secure communications for UAV relay networks: a MPC-based trajectory tracking approach by Shizhan Lan, Lei Zhong, Bin Tan, Yeyu Liang, Shan Chen, Hanghang Xie

“…To enhance system performance against environmental uncertainties, we employ a model predictive control (MPC)-based approach, which allows for real-time adaptive control of the UAV’s trajectory by considering future states and disturbances. …”
Get full text

Improving inverter efficiency for electric vehicles: Experimental validation of the neural network-based SHE technique using RT-LAB by Seyf Eddine Bechekir, Mokhtaria Jbilou, Mostefa Brahami, Fatima Zohra Boudjella, Imen Souhila Bousmaha, Mimouna Oukli, Said Nemmich

“…The simulator results validate the alignment of real and simulated control signals. …”
Get full text

Study on factors influencing sand migration in wellbores by Liu Shanshan

“…Accurate sand control design requires that the sand particles that break through the sand control facilities and enter the wellbore can be completely transported to the wellhead to prevent wellbore sand settling and blocking. …”
Get full text

A Scalable and Coordinated Energy Management for Electric Vehicles Based on Multiagent Reinforcement Learning Method by Ruien Bian, Xiuchen Jiang, Guoying Zhao, Yadong Liu, Zhou Dai

“…The proposed method can achieve close results to the traditional optimization methods, while it takes less than one second to take control actions, making it is more suitable for real-time online energy management. …”
Get full text

Assessment of Water Resources Carrying Capacity Based on Principal Component Analysis and System Dynamics: A Case Study of Qingyang City by WANG Qian, YUAN Bo, WU Jian, LIU Wen-shi, WU Yan

“…Their optimization effects on regional water resources carrying capacity were evaluated from the perspectives of water demand control, water supply efficiency improvement, and coordinated governance. …”
Get full text

Eliminating Effect of Moisture Content in Prediction of Lower Heating Value and Ash Content in Sugarcane Leaves Biomass by Kanvisit Maraphum, Kantisa Phoomwarin, Nirattisak Khongthon, Jetsada Posom

“…These findings suggest that the variables selected via GA in Method II were not relevant to MC; as Method II provided the best result, this indicates a low impact of MC, which may influence model construction in the future. Moreover, the findings also highlight the potential of NIR spectroscopy, combined with appropriate spectral preprocessing and wavelength optimization, as a rapid, non-destructive tool for evaluating biomass quality, enabling more precise control in bioenergy production and biomass trading.…”
Get full text

Prediction of COD Degradation in Fenton Oxidation Treatment of Kitchen Anaerobic Wastewater Based on IPSO-BP Neural Network by Tianpeng Zhang, Pengfei Ji, Dayong Tian, Rui Xu

Get full text

On the Use of an Improved Artificial Fish Swarm Algorithm-Backpropagation Neural Network for Predicting Dam Deformation Behavior by Bo Dai, Hao Gu, Yantao Zhu, Siyu Chen, E. Fernandez Rodriguez

“…Results demonstrate that the proposed model outperforms other models and may provide alarms for safety control.…”
Get full text

Estimating the travel distance of channelized rock avalanches using genetic programming method by Zhang Yong, Wang Tao, Deng Mingfeng, Chen Ningsheng

“…Considering the advantages of machine learning in data processing, 49 channelized rock avalanche events and three machine learning methods (genetic programming (GP), support vector machine (SVM), and multilayer perceptron (MLP)) were selected for model optimization and establishment. It was found that the GP model outperforms both SVM and MLP, achieving the best fit alongside superior predictive accuracy and error control. …”
Get full text

LSOD-YOLOv8: Enhancing YOLOv8n with New Detection Head and Lightweight Module for Efficient Cigarette Detection by Yijie Huang, Huimin Ouyang, Xiaodong Miao

Get full text

Research on the Construction of Automobile Wheel Hub Intelligent Production Line Based on Digital Twin by Yanjun Chen, Min Zhou, Meizhou Zhang, Meng Zha

Get full text

Reliability Prediction of Mixed-Signal Module Based on Multi-Stress Field Failure Mechanisms by Wei Zheng, Mingtao Feng, Ruishi Lin, Yue Yu, Kaiwen Xiao, Guofu Zhai

“…Finally, the Physics of Failure models of components are integrated to derive the reliability curve of the module, and targeted optimization strategies are proposed. …”
Get full text

Academician V.S. Mikhalevich and His Department by Vasyl Biletskiy, Viktor Kuzmenko, Greta Chikrii

“…In general, scientific projects can be grouped into the following areas: development of transport networks and transportation; optimization of production; use of optimization in the design and construction of railways; modeling of the systemic development of civil aviation; placement problems; optimization theory; development of optimization program packages; other scientific areas. …”
Get full text

Machine Learning in Active Power Filters: Advantages, Limitations, and Future Directions by Khaled Chahine

“…For example, the marginal improvements in total harmonic distortion (THD) achieved by ML-based methods often do not justify the increased computational overhead compared to traditional control methods. This review then suggests future research directions to overcome these limitations, including lightweight ML models for faster and more efficient control, federated learning for decentralized optimization, and digital twins for real-time system monitoring. …”
Get full text

Electromagnetic emission mechanism analysis and filtering research for traction system in urban rail transit vehicle by YANG Deyong, ZHU Bingquan

“…Finally, the effectiveness of the proposed optimization method was verified by external radiation emission tests using trains.…”
Get full text

Drive Stability Analysis of Main Reducer of Forklift Drive Axle by Wei Liangbao, Yang Shasha, Zhao Guangyang, Zhao Xiaomin, Gong Guiliang

“…First of all,the 3Dmodeling of spiral bevel gear is conducted by using SolidWorks software.Then,based on Hertz contact theory,a virtual prototype model of spiral bevel gear for forklift main reducer is established by using ADAMS,through simulation experiment,and the change curve of gear meshing force amplitude fluctuations with the center distance change is got.Finally,through the inserting point method taking three typical installation,the further analysis of the dynamic meshing characteristic is carried out.By contrast,the control range of center distance of transmission stability more reasonable installation error is got and the optimal installation center distance is got,it can reduce vibration and improve the quality of gear meshing,the reference for the optimization design of installation center distance of the spiral bevel gear is provided.…”
Get full text

CROSS SCALE ANALYSIS FOR THE EFFECT OF PROCESS PARAMETERS ON THE GRAIN SIZE OF COLD ROLLING SPLINE by WANG Yong, YUAN HaiLin, ZHU ShiFan, ZHANG ZuFang, JIN Ping, ZHOU QingCheng

“…Multi field and cross scale analysis is helpful to improve the forming quality and analyze the evolution law of microstructure in the process of spline forming, which has a very important guiding significance for process optimization, quality prediction and control. The thermal mechanical coupling model of cold rolling forming were established and simulated. …”
Get full text

Design of Flexible Constant Force Manipulator based on Metamorphic Mechanism Transform by Chen Xiaodong Deng Zilong Gao Xingjun Hu Siya

“…Finally, the theoretical output force is calculated according to the principle of virtual work, and the constant force range is found by particle swarm optimization. The device does not need to install force sensors, and does not need a control system to achieve constant force clamping of the manipulator and has self-adaptability. …”
Get full text