Prediction method of gas emission in working face based on feature selection and BO-GBDT by MA Wenwei

“…Comparison with random forest, support vector machine, and neural network models showed that the BO-GBDT model achieved the highest accuracy and generalization, with an average relative error of 2.61%. …”
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Design of an evolutionary model for international trade settlement based on genetic algorithm and fuzzy neural network. by Jiaqing Huang, Yang Liu, Miaomiao Tu, Osama Sohaib

“…This study proposes a hybrid model-Genetic Algorithm-optimized Fuzzy Neural Network (GA-FNN)-to enhance bank risk identification within this context. …”
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Cross-Layer Path Configuration for Energy-Efficient Communication over Wireless Ad Hoc Networks by Hong-Chuan Yang, Kui Wu, Wu-Sheng Lu

“…Numerical results demonstrate that the path configuration methods can either significantly reduce the average energy consumption per packet delivery or considerably extend the average lifetime of the multihop route.…”
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Multi objective reinforcement learning driven task offloading algorithm for satellite edge computing networks by Sai Xu, Jun Liu, Jiawei Tang, Xiangjun Liu, Zhi Li

“…This algorithm improves the DQN algorithm by incorporating a satellite resource clustering module, a DDQN algorithm, and a competitive network mechanism module. The offloading decision-making process comprehensively considers three optimization objectives: task latency, resource utilization, and load-balancing degree, to achieve dynamic multi-objective optimization. …”
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Design of 3D Environment Combining Digital Image Processing Technology and Convolutional Neural Network by Xiaofei Lu, Shouwang Li

“…To enhance 3D reconstruction accuracy, this study proposes a digital image processing technology that combines binocular camera calibration, stereo correction, and a convolutional neural network (CNN) algorithm for optimization and improvement. …”
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Outage reduction in 5G uplink cooperative NOMA using PSO-optimized relay selection and successive interference cancelation by David S. Bhatti, M. Asif Haroon, Haeung Choi, Seungmin Kim, Heung-No Lee

“…The inclusion of PSO-based relay selection demonstrates a substantial improvement in network performance. We compared the performance of particle swarm optimization (PSO) with that of the genetic algorithm (GA) and deep reinforcement learning (DRL). …”
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The Parameter-Optimized Recursive Sliding Variational Mode Decomposition Algorithm and Its Application in Sensor Signal Processing by Yunyi Liu, Wenjun He, Tao Pan, Shuxian Qin, Zhaokai Ruan, Xiangcheng Li

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A human activity recognition model based on deep neural network integrating attention mechanism by Feng Xu, Xuchen Gao, Weigang Wang

“…With multi-scale feature extraction, residual and skip connections, and dual attention mechanisms, along with a series of optimization strategies like dropout, batch normalization, and AdamW optimizer, the model achieves an average accuracy of 99.03% in five-fold cross-validation. …”
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Prediction of vibration in milling of thin-walled aluminum alloy parts using neural network model by Junming Hou, Baosheng Wang, Dongsheng Lv, Changhong Xu

“…In this study, a method for establishing a particle swarm optimization-back propagation (PSO-BP) neural network model is proposed to predict the modal parameters of thin-walled parts and the surface vibration of machined parts. …”
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Optimization of a Semiflexible Demand-Responsive Feeder System in Suburban Areas Using a Memetic Algorithm by Fabio Sartori Vieira, Kenneth Sorensen, Pieter Vansteenwegen

“…A memetic algorithm is developed to optimize this demand-responsive system. For a network with 25 bus stops served hourly by three lines and with an average demand of 20 requests per hour, the memetic algorithm is demonstrated to reduce the passenger waiting time with almost 50% in comparison with a traditional system operating in the same network with fixed routes and timetable.…”
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An Enhanced Starfish Optimization Algorithm via Joint Strategy and Its Application in Ultra-Wideband Indoor Positioning by Yu Liu, Maosheng Fu, Zhengyu Liu, Huaiqing Liu, Wei Peng, Ling Li, Yang Yang, Xiancun Zhou, Chaochuan Jia

“…The results showed that the SFOAL-BP neural network had a smaller average position error compared to the random BP neural network and the SFOA-BP neural network, so it can be used to solve practical application problems.…”
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Design of intelligent optimization of sports strategy and training decision support system based on deep reinforcement learning by Hua Xu, Bing Lin, Long Liu

“…The system adopts the DQN (Deep Q-Network) architecture and applies dual DQN technology to improve model stability. …”
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Research on routing strategy of wireless sensor network in intelligent substation based on improved EEUC algorithm by LIU Yuming, CUI Chen, SUN Yanzhi, LI Xu, TIAN Feng

“…Aiming at the problem of uneven distribution of node energy consumption in wireless sensor network routing strategy in intelligent substation, a non-uniform clustering algorithm based on dynamic clustering radius optimization is proposed for wireless sensor network routing in intelligent substation on the basis of auxiliary equipment monitoring system in intelligent substation. …”
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GSBYOLO: A lightweight Multi-Scale fusion network for road crack detection in complex environments by Yuhao Wang, Heran Zhu, Yirong Wang, Jianping Liu, Jun Xie, Bi Zhao, Siyue Zhao

“…Furthermore, through the optimization of the Path Aggregation Network (PAN) and the Bidirectional Feature Pyramid Network (BiFPN), efficient multi-scale feature fusion is achieved, further strengthening the model’s capacity to represent crack features at various scales. …”
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Real-time monitoring and optimization of machine learning intelligent control system in power data modeling technology by Qiong Wang, Zuohu Chen, Yongbo Zhou, Zhiyuan Liu, Zhenguo Peng

“…It used methods such as box plots and Kalman filters to preprocess power data and used Fourier transform and long short-term memory (LSTM) network to extract data features. Based on long-term and short-term memory networks, this paper constructed a deep neural network model to process data. …”
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Towards Efficient SAR Ship Detection: Multi-Level Feature Fusion and Lightweight Network Design by Wei Xu, Zengyuan Guo, Pingping Huang, Weixian Tan, Zhiqi Gao

“…Firstly, the backbone network integrates depthwise separable convolutions and a Convolutional Block Attention Module (CBAM) to suppress background clutter and extract effective features. …”
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An Enhanced Cycle Generative Adversarial Network Approach for Nighttime Pineapple Detection of Automated Harvesting Robots by Fengyun Wu, Rong Zhu, Fan Meng, Jiajun Qiu, Xiaopei Yang, Jinhui Li, Xiangjun Zou

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Surrogate modeling of electrospun PVA/PLA nanofibers using artificial neural network for biomedical applications by Reyhaneh Fatahian, Rasool Erfani

“…Analysis of Variance reveals flow rate as the most significant determinant of fiber diameter. The optimal electrospinning configuration yields nanofibers with an average diameter of 127.6 ± 19.8 nm. …”
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A CFD-informed barn-level swine disease dissemination model and its use for ventilation optimization by Maryam Safari, Christian Fleming, Jason A. Galvis, Aniruddha Deka, Felipe Sanchez, Gustavo Machado, Chi-An Yeh

“…Compared to the original barn ventilation settings, our optimized ventilation system significantly reduced disease spread by an average of 20%. …”
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Cloud–Edge Collaborative Model Adaptation Based on Deep Q-Network and Transfer Feature Extraction by Jue Chen, Xin Cheng, Yanjie Jia, Shuai Tan

“…To overcome these issues, this paper proposes a cloud-edge collaborative model adaptation framework that integrates deep reinforcement learning via Deep Q-Networks (DQN) with local feature transfer. The framework enables category-level dynamic decision making, allowing for selective migration of classification head parameters to achieve on-demand adaptive optimization of the edge model and enhance consistency between cloud and edge results. …”
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