SGD-TripleQNet: An Integrated Deep Reinforcement Learning Model for Vehicle Lane-Change Decision by Yang Liu, Tianxing Yang, Liwei Tian, Jianbiao Pei

“…This method integrates three types of deep Q-learning networks (DQN, DDQN, and Dueling DDQN) and uses the Stochastic Gradient Descent (SGD) optimization algorithm to dynamically adjust the network weights. …”
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Multi-controller balancing deployment strategy based on reliability evaluation in SDN by Tao HU, Jian-hui ZHANG, Teng MA, Wei ZHAO

“…The control plane has low reliability and controller loads were unbalanced in distributed software defined networks,and a multi-controller balancing deployment strategy based on reliability evaluation was proposed.Firstly,node reliability was evaluated by weighting node efficiency and path quality,optimizing the controller location with balancing factor.Then based on improved k-center clustering,the redundant functions was introduced and the switch allocation was completed according to node attractiveness degree and controller load balancing rate,achieving a reasonable SDN sub-domain planning.The simulations show that compared with the existing strategy the number of required controllers is reduced by an average of 22.1%.The control plane elasticity is enhanced,and the controller load balancing performance has been improved significantly.…”
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SHERA: SHAP-Enhanced Resource Allocation for VM Scheduling and Efficient Cloud Computing by Ashwin Singh Slathia, Abhiram Sharma, P. B. Krishna, Saksham Anand, Ayush Rathi, Linda Joseph, Xiao-Zhi Gao

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Optimisation and Modelling of the Wear Properties of Laser-Coated SiC-Blend Ni Welds on Steel Substrates by Dezheng WU, Canyu DING, MingDer JEAN

“…In the present work, a ceramic-metal matrix composite coating with the optimization and modelling of mechanical properties of Ni added SiC powders was studied on 45 steel by laser cladding. …”
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A Machine Learning Approach for User Behavior Analysis in Developing Websites by Aeesha Shaheen

“…In digit age, understand user behaviors with optimizing interactions on website crucial for achieve engaging and satisfactory. …”
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A new CNN deep learning model for computer-intelligent color matching by He Zhibin, Tan Yanmei, Li Sa

“…To solve the above problems, this study optimized the convolutional neural network (CNN) algorithm using the genetic algorithm (GA), extracted data through the GA, and then processed the information using the CNN algorithm. …”
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Utilization of a bioinspired algorithm for optimum reservoir operation in an altering climate a case study of China by Qiong Li, Hang Zhou, Ali Shirzad

“…A combined model is used in the present study for predicting inflows in the future with respect to climate change This research presents an innovative framework in the management of a climate-resilient reservoir combining the Soil and Water Assessment Tool (SWAT) with Capsule Neural Networks (Caps-Net), Modified Seagull Optimization Algorithms (MSOA). …”
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Hyperspectral identification of travertine state in Huanglong by the PSO-BPNN method by Menghui Xu, Weihong Wang, Jialun Cai, Qunwei Dai, Jing Fan, Sicheng Li

“…The PSO-BPNN classifier was developed by optimizing the back propagation neural network (BPNN) using the particle swarm optimization algorithm (PSO). …”
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Structural Characterization and Antioxidant Activity Analysis of Polysaccharides from Tartary Buckwheat Jinqiaomai 2 by XU Run-dong, FU Li-hong, YANG Zi-ting, CHANG Ying-ying, YANG Hong-yu, GUO Yun-e

“…Both exhibited characteristic FT-IR absorption peaks of polysaccharides and showed abundant cross-linked networks and porous structures under SEM observations. polysaccharides were composed of glucose, glucuronic acid, mannose, and galactose. …”
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Reducing Waiting Times to Improve Patient Satisfaction: A Hybrid Strategy for Decision Support Management by Jenny Morales, Fabián Silva-Aravena, Paula Saez

“…MLR was chosen for optimization due to its accuracy and efficiency, making it ideal for implementation. …”
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Study on pH-Responsive Delayed, Cross-Linking and Weighted Fracturing Fluid by Hao Bai, Fujian Zhou, Xinlei Liu, Xiaozhi Xin, Huimin Zhao, Zhiyuan Ding, Yunjin Wang, Xin Wang, Xingting Li, Wei Li, Erdong Yao

“…Field tests confirm the formulation’s effectiveness, leading to lower operating pressures, stable sand transport, and notable production, averaging 107.57 m³ of oil and 276 m³ of gas per day. …”
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Development of Chiller Plant Models in OpenAI Gym Environment for Evaluating Reinforcement Learning Algorithms by Xiangrui Wang, Qilin Zhang, Zhihua Chen, Jingjing Yang, Yixing Chen

“…Furthermore, implementing the DQN algorithm across three different climatic zones led to an average energy savings of 4.0%, highlighting the toolkit’s ability to effectively utilize RL for optimal control in various environmental contexts.…”
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Real-Time Recognition and Localization of Kiwifruit Based on Improved YOLOv5s Algorithm by Jin-Sui Dai, Zhi-Qin He

“…First, data enhancement is implemented in the training strategy to ensure the model’s efficient learning and generalization ability in complex environments; then the Coordinate Attention mechanism is introduced to highlight the key features of the image and improve detail detection; Secondly, the Bidirectional Feature Pyramid Network structure is used to optimize the feature fusion and strengthen the information exchange between different layers through bidirectional connectivity; then, the loss function is optimized to improve the bounding box localization accuracy; and finally, the combined with the binocular vision stereo matching algorithm Semi-Global Block Matching to obtain the spatial location information of Kiwifruit. …”
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Novel logic mining incorporating log linear approach by Siti Zulaikha Mohd Jamaludin, Nurul Atiqah Romli, Mohd Shareduwan Mohd Kasihmuddin, Aslina Baharum, Mohd. Asyraf Mansor, Muhammad Fadhil Marsani

“…Based on the findings, several winning points for the proposed model where the proposed model dominates 3 metrics out of 5 in the average rank. The metrics that achieve the highest average rank are Accuracy (1.800), Precision (3.500), and Mathews Correlation Coefficient (2.700). …”
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Urban Fire Spatial–Temporal Prediction Based on Multi-Source Data Fusion by Haiyu Xiang, Lizhi Wu, Zidong Guo, Shaoyun Ren

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Spectrum resource allocation for high-throughput satellite communications based on behavior cloning by QIN Hao, LI Shuangyi, ZHAO Di, MENG Haowei, SONG Bin

“…In the second stage, the strategy network was further optimized using the proximal policy optimization (PPO), and a convolutional block attention module (CBAM) was employed to better extract the user traffic features, thereby enhancing overall algorithm performance. …”
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Autonomous scheduling mechanism based on energy awareness for improving resource allocation in serverless IoT edge by Mohsen Ghorbian, Mostafa Ghobaei-Arani, Leila Esmaeili

“…Abstract The energy-aware scheduling mechanism in serverless computing enables systems to be allocated to IoT devices connected to the network’s edge efficiently based on the energy status of active nodes. …”
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A Hybrid Strategy-Improved SSA-CNN-LSTM Model for Metro Passenger Flow Forecasting by Jing Liu, Qingling He, Zhikun Yue, Yulong Pei

“…To address the issues of slow convergence and large errors in existing metaheuristic algorithms when optimizing neural network-based subway passenger flow prediction, we propose the following improvements. …”
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Contrast-enhanced CT-based deep learning model assists in preoperative risk classification of thymic epithelial tumors by Xuhui Zhao, Lingyu Zhang, Li Liang, Qi Zhang, Wencan Wang, Junlin Li, Hua Zhang, Chunhai Yu, Lingjie Wang

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Chinese Word Sense Disambiguation Based on Word translation and Part of speech by ZHANG Chunxiang, ZHAO Lingyun, GAO Xueyao

“…We select disambiguation window of ambiguous word which contains two adjacent lexical units and word, partofspeech and translation are extracted as disambiguation features Based on disambiguation features, convolution neural network is used to construct word sense disambiguation (WSD) classifier Training corpus in SemEval-2007: Task#5 and semantic annotation corpus in Harbin Institute of Technology are used to optimize parameters of CNN Test corpus in SemEval-2007: Task#5 is applied to test word sense disambiguation classifier Experimental results show that compared with Bayes model and BP neural network, the proposed method in this paper can make average disambiguation accuracy improve 14.94% and 6.9%…”
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