Investigation on Evolutionary Computation Techniques of a Nonlinear System by Tran Trong Dao

“…The main aim of this work is to show that such a powerful optimizing tool like evolutionary algorithms (EAs) can be in reality used for the simulation and optimization of a nonlinear system. …”
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Artificial Neural Network Framework for Hybrid Control and Monitoring in Turning Operations by Bogdan Felician Abaza, Vlad Gheorghita

“…In the era of Industry 4.0 and the transition toward Industry 5.0, advanced manufacturing is increasingly driven by data analytics, artificial intelligence, and cyber-physical systems. The integration of intelligent monitoring systems and self-learning algorithms is reshaping machining processes, enabling higher efficiency, precision, and sustainability. …”
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The Talent Cultivation Model of Study Travel Majors in Universities Based on the Internet of Things and Deep Learning by Yanjie Zhan

“…This study integrates Internet of Things (IoT) technology with deep learning algorithms to propose a novel Educational Intelligent Multimodal Optimization System (EIMOS) model. …”
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A Software-Defined Networking Roadside Unit Cloud Resource Management Framework for Vehicle Ad Hoc Networks by Hongming Li, Dongxiu Ou, Iftikhar Rasheed, Meiting Tu

“…Multipath is also enabled to forward data flow for balancing network links utilization rate and SDN is thus utilized to achieve the minimum cloud delay with the least number of hosts, which can be summarized as a mixed-integer linear programming (MILP) problem. The joint optimization (JO) algorithm is proposed and in contrast to the two single-objective algorithms which are the delay optimization (DO) algorithm and host optimization (HO) algorithm, respectively. …”
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Machine learning and transfer learning techniques for accurate brain tumor classification by Seyed Matin Malakouti, Mohammad Bagher Menhaj, Amir Abolfazl Suratgar

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Integrating Tiny Machine Learning and Edge Computing for Real-Time Object Recognition in Industrial Robotic Arms by Nian-Ze Hu, Bo-An Lin, Yen-Yu Wu, Hao-Lun Huang, You-Xin Lin, Chih-Chen Lin, Po-Han Lu

“…The model provides a technical reference and ideas for future factories that require high levels of automation and intelligence.…”
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Power Allocation for 5G Mobile Multiuser Cooperative Networks by Fagen Yin, Wencai Du

“…To improve the OP performance, we study the power allocation optimization problem. To solve the optimization problem, we propose an intelligent power allocation optimization algorithm based on grey wolf optimization (GWO). …”
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Energy-Efficient Coverage of Rechargeable UAV Networks in Forest Scenarios by Chi Zheng, Ting Su, Jianming Liu, Kuo Chi, Yongqin Yang

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Cooperative Path Planning for Multi-UAVs with Time-Varying Communication and Energy Consumption Constraints by Jia Guo, Minggang Gan, Kang Hu

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Review of Agricultural Machinery Seat Semi-Active Suspension Systems for Ride Comfort by Xiaoliang Chen, Zhelu Wang, Haoyou Shi, Nannan Jiang, Sixia Zhao, Yiqing Qiu, Qing Liu

“…Furthermore, key technical challenges in current research are summarized, including dynamic characteristic optimization design, adaptability to complex operating environments, and the robustness of control algorithms. …”
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Service Function Chain Migration: A Survey by Zhiping Zhang, Changda Wang

“…Traditional optimization algorithms often fall short in large-scale, heterogeneous networks due to limited computational efficiency and scalability. …”
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Advances in Multi-Source Navigation Data Fusion Processing Methods by Xiaping Ma, Peimin Zhou, Xiaoxing He

“…In recent years, the field of multi-source navigation data fusion has witnessed substantial advancements, propelled by the rapid development of multi-sensor technologies, Artificial Intelligence (AI) algorithms and enhanced computational capabilities. …”
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Failure Management Overview in Optical Networks by Sergio Cruzes

“…LLMs significantly advance network management by improving network design, diagnosis, security, and autonomous optimization through the integration of comprehensive domain resources and intelligent agents. …”
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Rolling Cargo Management Using a Deep Reinforcement Learning Approach by Rachid Oucheikh, Tuwe Löfström, Ernst Ahlberg, Lars Carlsson

“…The objective is to teach an autonomous tug master to manage rolling cargo and perform loading and unloading operations while avoiding collisions with static and dynamic obstacles along the way. The artificial intelligence agent, representing the tug master, is trained and evaluated in a challenging environment based on the Unity3D learning framework, called the ML-Agents, and using proximal policy optimization. …”
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Ecological and Real-Time Route Selection Method for Multiple Vehicles in Urban Road Network by Liping Yan, Yue Tang, Chan Peng, Yu Cai, Wenbo Zhang, Jing Wang

“…Compared with three non-negotiated optimization algorithms based on swarm technology, EMR2SM is verified by experiments that it improves the efficiency and accuracy of the optimal route selection for multiple vehicles and reduces vehicle emissions, which can effectively reduce traffic congestion and environmental pollution.…”
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A New Method for Solving Supervised Data Classification Problems by Parvaneh Shabanzadeh, Rubiyah Yusof

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D2D assisted cooperative computational offloading strategy in edge cloud computing networks by Yanyan Wang, Dechuan Kong, Haojie Chai, Hongzhou Qiu, Ran Xue, Shuhang Li

“…Then, the stochastic optimization algorithm and the back-pressure algorithm are used to develop the offloading strategy, which ensures the stability of the system and reduces the computing cost to the greatest extent, so as to obtain the optimal offloading decision. …”
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Large language models in the management of chronic ocular diseases: a scoping review by Jiatong Zhang, Xiaoxi Song, Bocheng Tian, Mingke Tian, Zhichang Zhang, Jing Wang, Ting Fan

“…Future directions emphasize the need for specialized model training, multimodal algorithm optimization, the establishment of a multinational multicenter clinical validation platform, and the construction of an ethical framework for dynamic regulation. …”
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A QoS-based network planning method for power fiber to the home by Shuai SHAO, Zhijun SHANG, Zhongfeng WANG, Guoliang XIN, Yueyue LI, Xiangyu KONG, Xujing PENG

“…A QoS-based network planning method for power fiber to the home was proposed.Firstly,the distribution structure of different buildings was combined to carry out targeted ODN line path design.Secondly,in the ONU packet cluster planning stage,in order to meet the QoS requirements of multi-service differentiation,the communication cost as the optimization goal was uesd,and the optimization problem model was established with the constraints of access capacity,reliability and delay.At the same time,intelligent algorithms were used to solve the optimization problem model.Finally,the optical path attenuation of the planned network was calculated to meet the actual application needs.The simulation results show that the proposed QoS-based network planning method for power fiber to the home can save network construction cost while ensuring service reliability and delay requirements.…”
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Maximizing spatial–temporal coverage in mobile crowd-sensing based on public transports with predictable trajectory by Chaowei Wang, Chensheng Li, Cai Qin, Weidong Wang, Xiuhua Li

“…The results show that our algorithm achieves a near optimal coverage and outperforms existing algorithms.…”
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