Analysis and modeling of COVID-19 epidemic dynamics in Saudi Arabia using SIR-PSO and machine learning approaches by Rafat Zrieq, Sahbi Boubaker, Souad Kamel, Mohamed Alzain, Fahad D. Algahtani

“…Results: The forecasts provided by the investigated models had high coefficient of determination values of more than 0.97 and low mean absolute percentage errors (around 7% on average). Conclusions: Both the Susceptible-Infected-Recovered-Particle-Swarm-Optimization and feed-forward artificial neural network models were efficient in modeling COVID-19 dynamics in Saudi Arabia. …”
Get full text

Research on herd sheep facial recognition based on multi-dimensional feature information fusion technology in complex environment by Fu Zhang, Fu Zhang, Xiaopeng Zhao, Shunqing Wang, Yubo Qiu, Sanling Fu, Yakun Zhang

“…Additionally, model compression techniques were applied to optimize the facial expression analysis network for improved efficiency. …”
Get full text

Vigorous technique for augmented lifetime in WSNs by Sardar Jaffar Ali, Javed Iqbal, Faheem Khan, Yeon-Kug Moon

“…In static environments, ViTAL achieves average improvements of 80.9%, 62%, and 58% in network lifetime compared to LEACH, EE-LEACH, and I-LEACH respectively, when using optimized deployment. …”
Get full text

Evaluation of Scalability and Resilience of Hyperledger Fabric in Blockchain Implementation for Diploma Management by Cahyani Pebriyanti, Galura Muhammad Suranegara

“…The system is tested using the Caliper benchmark tool in various network and scalability scenarios, including normal conditions (baseline), network delay of 50ms, 100ms, 200ms, and 500ms; packet loss of 1%, 5%, 10%, and 15%; bandwidth limitation of 5 Mbps; high transaction load (scalability standard and scalability optimized); and extreme conditions in the form of Byzantine attacks with malicious nodes of 10%, 30%, and 50%. …”
Get full text

Fatigue life prediction of the drilling mast for rotary drilling rig using an improved hybrid algorithm by Heng Yang, Qing Lu, Yuhang Ren, Gening Xu, Wenxiao Guo, Qianbin Geng

“…The BP neural network is optimized to obtain the IAOAVOA-BP prediction model. …”
Get full text

Fog node intrusion detection and response based on SVMIF and INSGA-II algorithm by Zhuojun Luo

“…Additionally, modified particle swarm optimization was employed to optimize the model's parameters. …”
Get full text

Hyperspectral Imaging for Non-Destructive Moisture Prediction in Oat Seeds by Peng Zhang, Jiangping Liu

“…Subsequently, a dual-optimized neural network model, termed Bayes-ASFSSA-BP, was developed by incorporating Bayesian optimization and the Adaptive Spiral Flight Sparrow Search Algorithm (ASFSSA). …”
Get full text

Research on intelligent routing with VAE-GAN in the internet of body. by Song Qian, Tianping Zhang, Siping Hu

“…It achieves load balancing of the entire network and avoids network congestion. The average throughput is much higher than that of traditional routing, and the advantage is more obvious under high load.…”
Get full text

Data poisoning attack detection approach for quality of service aware cloud API recommender system by Zhen CHEN, Wenchao QI, Taiyu BAO, Limin SHEN

“…To solve the problem that existing studies usually assumed that the QoS data of cloud API recommender system was reliable, ignoring the data poisoning attack on cloud API recommender system by malicious users in open network environment, a data poisoning attack detection approach based on multi-feature fusion was proposed.Firstly, a user connected network graph was constructed based on the designed similarity function, and users’ neighborhood features were captured using Node2vec.Secondly, sparse auto-encoder was used to mine user QoS deep feature, and user interpretation feature based on QoS data weighted average deviation was designed.Furthermore, a fake user detection model based on support vector machine was established by integrating user neighborhood feature, QoS deep feature, and interpretation feature, the model parameters were learned using grid search and alternating iterative optimization strategy to complete fake user detection.Finally, the effectiveness and superiority of the proposed approach were verified through extensive experiments, realizing the poison attack defense against QoS aware cloud API recommender system at the data side.…”
Get full text

Method for Calculating Productivity of Water Imbibition Based on Volume Fracturing Stimulations of Low Permeability Reservoirs by Lisha Zhao, Xin Li, Shuhong Wu, Zhongbao Wu, Min Tong

“…The equation for the water imbibition productivity considering the fracture network is obtained. A numerical model is constructed to verify the validity of the average capillary diffusivity coefficient and the results of the analytical model. …”
Get full text

Edge Cloud Resource Scheduling with Deep Reinforcement Learning by Y. Feng, M. Li, J. Li, Y. Yu

“…To tackle this issue, we propose a novel deep reinforcement learning-based resource allocation method called Decima#, which offers an effective resource optimization solution for edge cloud data centers. We utilize a transformer architecture to capture resource states on directed acyclic graphs (DAGs), accelerating the aggregation speed of the Graph Neural Network (GNN). …”
Get full text

Application of Immunological and Swarm Intelligence Learning-Based Algorithm for Industrial Grade Computer Sales Prediction by Zhen-Yao Chen

“…This paper strives to raise the imitating effectiveness of radial basis function-based neural network (RNNet) through biological learning (BL) and swarm intelligence (SI) optimization algorithms. …”
Get full text

A novel lightweight YOLOv8-PSS model for obstacle detection on the path of unmanned agricultural vehicles by Zhijian Chen, Yijun Fang, Jianjun Yin, Shiyu Lv, Farhan Sheikh Muhammad, Lu Liu

“…This adjustment preserves accuracy while reducing the complexity of the model. After optimization, the bounding box loss function is finally upgraded to Shape-IoU (Shape Intersection over Union), which improves both model accuracy and generalization.ResultsThe experimental results demonstrate that the improved YOLOv8_PSS model achieves a precision of 85.3%, a recall of 88.4%, and an average accuracy of 90.6%. …”
Get full text

Port terminal mobile recognition based on combined YOLOv5s-DeepSort. by Chengzhi Wang, Donghong Chen, Zhen Liu, Yuanhao Li, Yifei Wang, Sanglan Zhao

“…The findings indicate that incorporating multi-scale convolution into YOLOv5s improved the robustness of multi-scale object detection, resulting in a 0.4% increase in mean Average Precision (mAP). Furthermore, the integration of an efficient pyramid segmentation attention (EPSA) network enhanced the accuracy of multi-scale feature fusion representation. …”
Get full text

Personalized learning effect evaluation model for vocational education with cloud computing technology by Xiangyu Wang, Kang Cao

“…To achieve more efficient and accurate evaluation of learning effect, an adjustable variation genetic algorithm-backpropagation neural network (AGA-BP) is proposed. The model introduces an adjustable mutation approach, which adapts the mutation probability in real-time in accordance with the progress of the genetic algorithm in the search process, so as to prevent entering into local optimization and ensure the maintenance of diversity. …”
Get full text

A deep learning model integrating domain-specific features for enhanced glaucoma diagnosis by Jie Xu, Erkang Jing, Yidong Chai

Get full text

Precise wind allocation scheme decision based on attraction-repulsion algorithm by NI Jingfeng, CHEN Dunwei, LIU Yujiao

“…When solving the Ackley function, AROA required fewer iterations to obtain the optimal and average optimal solutions compared to GA, SA-IPSO, and MBH. …”
Get full text

Intelligent Renewable Energy Agent-Based Distributed Control Design for Frequency Regulation and Economic Dispatch by Amjad Khan, Amjad Ullah Khattak, Bilal Khan, Sahibzada Muhammad Ali, Zahid Ullah, Faisal Mehmood

“…To address the above challenges, this research employs a machine learning-based distributed multiagent consensus design that offers a rapid and robust approach, mitigating the limitations associated with the Distributed Average Integral (DAI) control design. The proposed multiagent scheme empowers the successful implementation of ELD and frequency regulation, accommodating the intermittent DRES, diverse network topologies, and the dynamic plug-and-play activities of prosumers. …”
Get full text

Precision in Tear Fluid Biomarker Discovery: Quantitative Proteomic Profiling of Small-Volume, Individual Samples Using Capillary Tube Collection by Kyla Frenia, Yunxiang Fu, Maria A. Beatty, Kathleen C. Garwood, Jeremy Kimmel, Veena Raiji, Dipanjan Pan, David Bartlett, Leanne T. Labriola, Kunhong Xiao

Get full text

Transmit Antenna Selection for Sum-Rate Maximization with Multiclass Scalable Gaussian Process Classification by Xiaofeng Yang

“…Simulation results show that the average sum-rate obtained by SGPC is 1. 9 bps/Hz more than that obtained by conventional optimization driven user-centric antenna selection (UCAS) algorithm and 1 bps/Hz more than that obtained by the up-to-date learning scheme based on a deep neural network (DNN) when signal-to-noise ratio (SNR) is 10 dB, the number of total antennas at BS is 6, the number of selected antennas is 4, and the number of single-antenna users is 4. …”
Get full text