Optimization of dynamic incentive strategies for public transportation based on reinforcement learning and network synergy effect by Yifang Chen, Shunlin Wang

“…The model integrated reinforcement learning, user heterogeneity modeling and small-world network synergy mechanism, adjusted the carbon credit intensity in real time by dynamic incentive generator, quantified the diminishing marginal utility effect of incentives for high-income groups by combining elastic user identifiers, and designed weather attenuation coefficients to optimize the spread of social influence. …”
Get full text

A Hybrid Optimization Framework for Dynamic Drone Networks: Integrating Genetic Algorithms with Reinforcement Learning by Mustafa Ulaş, Anıl Sezgin, Aytuğ Boyacı

“…This paper proposes a hybrid optimization framework combining genetic algorithms and reinforcement learning (RL) to improve the deployment of drone networks. …”
Get full text

An Energy-Efficient Multipath Routing Algorithm Based on Ant Colony Optimization for Wireless Sensor Networks by Mengjun Tong, Yangli Chen, Fangxiang Chen, Xiaoping Wu, Guozhong Shou

Get full text

Optimal Routing in Urban Road Networks: A Graph-Based Approach Using Dijkstra’s Algorithm by Zarko Grujic, Bojana Grujic

“…This paper presents a new approach to optimizing route selection in urban road networks with sparsely placed traffic counters. …”
Get full text

Optimal operation model of ecological flow of hydropower station based on genetic algorithm and neural network by Yong Luo

“…This study establishes a reservoir flow regulation model with the objective functions of maximizing power generation and achieving optimal average ecological protection. The model, constrained by water balance, reservoir capacity, unit output, and unit overflow, was optimized and solved using the genetic algorithm-backpropagation neural network (GA-BPNN) approach. …”
Get full text

LHB-YOLOv8: An Optimized YOLOv8 Network for Complex Background Drop Stone Detection by Anjun Yu, Hongrui Fan, Yonghua Xiong, Longsheng Wei, Jinhua She

Get full text

A Distributed Energy Optimized Routing Using Virtual Potential Field in Wireless Sensor Networks by Haifeng Jiang, Yanjing Sun, Renke Sun, Wei Chen, Shanshan Ma, Jing Gao

“…Energy is an extremely critical resource for battery-powered wireless sensor networks. Since data transmission typically consumes more energy than any other activities on a sensor node, it is of great importance to design energy optimized routing algorithm to achieve both energy efficiency and energy balance together, in order to prolong the network lifetime. …”
Get full text

Simulation of Natural Gas Pipeline Networks Based on Roughness Optimization Algorithm and Global Mesh Refinement by Yi Yang

“…ABSTRACT Natural gas pipeline network simulation technology is the fundamental technology of system capacity analysis, pipeline design, operation planning and optimization as well as emergency decision‐making for the whole life cycle of a given pipeline network system. …”
Get full text

Optimization of Relay Node Deployment in Wireless Sensor Communication Networks Based on IGA-RNDP Algorithm by Shubo Xu, Cheng Zhong

“…Reasonably deploying wireless sensor communication network relay nodes can not only expand network coverage and ensure that signals can span longer distances, but also enhance signal strength and reduce loss and errors during data transmission. …”
Get full text

Intelligent Optimization of OSPF Path Selection Using Machine Learning Models for Adaptive Network Routing by Rebeen Rebwar Hama Amin

“… At the core of enterprise networks lies routing protocols that make forwarding decisions based on a set of rules and metrics. …”
Get full text

Optimizing Federated Learning on TinyML Devices for Privacy Protection and Energy Efficiency in IoT Networks by William Villegas-Ch, Rommel Gutierrez, Alexandra Maldonado Navarro, Aracely Mera-Navarrete

“…Federated learning is presented as an effective solution to train artificial intelligence models on the Internet of Things networks without centralizing data, thus preserving privacy and minimizing security risks. …”
Get full text

Optimization of Table Tennis Swing Action Supported by the Temporal Convolutional Network Algorithm in Deep Learning by Shaoxuan Sun, Hongyu Zheng, Zhixin Lin

“…The research effectively addresses the vanishing gradient problem by replacing the traditional Rectified Linear Unit (ReLU) activation function with Leaky ReLU, while simplifying the network structure through the use of a Global Average Pooling layer to reduce model complexity. …”
Get full text

Public Space Optimization Strategy Through Social Network Analysis in Shenzhen’s Gongming Ancient Fair by Hang Ma, Mohan Wang, Jinqi Li, Han Liu

“…However, existing studies predominantly focus on the physical environment and neglect activity-driven optimization perspectives. This study first employed social network analysis (SNA) to construct two networks of Gongming Ancient Fair, using the software Ucinet 6.755, including a public space network based on spatial connectivity and a public activity network based on pedestrian flow. …”
Get full text

Optimizing the Location of 5G Network Base Stations Taking into Account Intra-System Interference by Serhii Siden, Roman Tsarоv, Mohammed Jamal Salim, Kateryna Shulakova, Saad Malik Talha, Liliia Bodnar

“…This work is devoted to the structural optimization of 5G networks, specifically addressing the problem of base station (BS) placement optimization in indoor network deployment. …”
Get full text

Multiobjective Route Optimization for Multimodal Cold Chain Networks Considering Carbon Emissions and Food Waste by Yong Peng, Yali Zhang, Dennis Z. Yu, Yijuan Luo

“…To tackle these objectives, we propose a high-dimensional multiobjective route optimization model for multimodal cold chain networks. …”
Get full text

Coverage and connectivity maximization for wireless sensor networks using improved chaotic grey wolf optimization by Muhammad Suhail Shaikh, Chang Wang, Senlin Xie, Gengzhong Zheng, Xiaoqing Dong, Shuwei Qiu, Mohd Ashraf Ahmad, Saurav Raj

“…One of the key challenges is the optimal placement of sensor nodes, which directly impacts network performance and deployment costs. …”
Get full text

MRI-Driven Alzheimer’s Disease Diagnosis Using Deep Network Fusion and Optimal Selection of Feature by Muhammad Umair Ali, Shaik Javeed Hussain, Majdi Khalid, Majed Farrash, Hassan Fareed M. Lahza, Amad Zafar

“…To remove the redundant features from the CCA-based fused feature vector, the binary-enhanced WOA was utilized for optimal feature selection, which yielded an average accuracy of 98.12 ± 0.52 (mean ± standard deviation) with only 953 features. …”
Get full text

CAGNet: A Network Combining Multiscale Feature Aggregation and Attention Mechanisms for Intelligent Facial Expression Recognition in Human-Robot Interaction by Dengpan Zhang, Wenwen Ma, Zhihao Shen, Qingping Ma

“…CAGNet employs a deep learning-based hierarchical convolutional architecture, enhancing the extraction of features at multiple scales through stacked convolutional layers. The network integrates the Convolutional Block Attention Module (CBAM) and Global Average Pooling (GAP) modules to optimize the capture of both local and global features. …”
Get full text

The Optimal Design of an Inclined Porous Plate Wave Absorber Using an Artificial Neural Network Model by Senthil Kumar Natarajan, Seokkyu Cho, Il-Hyoung Cho

“…This study seeks to optimize the shape of a wave absorber with an inclined porous plate using an artificial neural network (ANN) model to improve the operating efficiency and experimental accuracy of a square wave basin. …”
Get full text

Effects of Decision Variables Selection on Sewer Optimization Problem by Tulin Cetin, Mustafa Erkan Turan, Mumin Emre Senol

“…This paper presents the study of decision variables selection in the optimization of sewer network systems. A mathematical model is presented that considers an objective of minimizing the total cost of sewer network comprising all pipe costs, manhole costs, and excavation cost. …”
Get full text