Routing and Clustering of Sensor Nodes in the Honeycomb Architecture by Amine Rais, Khalid Bouragba, Mohammed Ouzzif

“…In this article, we choose to use a hybrid routing protocol named Efficient Honeycomb Clustering Algorithm (EHCA), which is at the same time hierarchical and geographical protocol by using honeycomb clustering. …”
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Comparing the Linear and Quadratic Discriminant Analysis of Diabetes Disease Classification Based on Data Multicollinearity by Autcha Araveeporn

“…However, the MVE and t-distribution methods focus on the resampling algorithm, a reliable tool for high resistance. This paper starts by explaining the concepts of linear and quadratic discriminant analysis and then presents the four other methods used to create the decision boundary. …”
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A safe-enhanced fully closed-loop artificial pancreas controller based on deep reinforcement learning. by Yan Feng Zhao, Jun Kit Chaw, Mei Choo Ang, Yiqi Tew, Xiao Yang Shi, Lin Liu, Xiang Cheng

“…It employed ten tricks to enhance the proximal policy optimization (PPO) algorithm, improving training efficiency. Additionally, a dual safety mechanism of 'proactive guidance + reactive correction' was introduced to reduce the risks of hyperglycemia and hypoglycemia and to prevent emergencies. …”
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Research on the integration of MEMS and reliable transmission of deep space networks based on time-sensitive networking by Kejun Sheng, Ziyang Xing

“…Experimental results have shown that the proposed algorithm has fast convergence, strong applicability, and can achieve reliable and efficient data transmission while meeting the requirements of higher priority data transmission. …”
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Network and Agent Dynamics with Evolving Protection against Systemic Risk by Chulwook Park

“…In this paper, we show how to construct a large variety of behaviors by applying a simple algorithm to networked agents, which could, conceivably, offer a straightforward way out of the complexity. …”
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An Artistic Image Fusion Method with Improved Cartoon-Texture Decomposition by Zhou Meng

“…According to the oscillation component’s strong repetitiveness and structural directionality, the image texture part is filtered by combining the improved directional diffusion algorithm. Using the sparse coefficients of the fused cartoon component and the sparse coefficients of the texture component, the cartoon and texture of the image is inverse transformed and weighted and summed to obtain the recovered image after fusion. …”
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Interoperability of Multimedia Network Public Opinion Knowledge Base Group Based on Multisource Text Mining by Yanru Zhu

“…The results of the case analysis show that the multisource text mining algorithm can provide a strong basis for the construction of a multimedia network public opinion knowledge base group.…”
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Application Effect Analysis of the Mie Scattering Theory Based on Big Data Analysis Technology in the Optical Scattering Direction by Suting Chen

“…Under the assumed mathematical model of bubble group scattering, the scattered light intensity of wake can be measured experimentally, and then, the velocity, diameter, and density distribution of the bubble group can be calculated by using the mathematical inversion algorithm. The experimental results show that the diameter of the main bubbles in the bubble group is about 240, accounting for about 50% of the whole bubble group in number, the bubbles with a diameter of about 140 account for 24% of the whole bubble group, and the bubbles with a diameter of about 350 account for 24% of the whole bubble group. …”
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Muscle Strength Weighting Based on Deep Learning and Wavelet Packet and Muscle Fatigue Analysis Based on L-Z Complexity by Zhizhong Liu

“…The wavelet packet weighting algorithm makes the muscle strength and the weight-bearing well in line with the linear relationship, and the application of muscle strength map can better reflect the load of muscle. …”
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Artificial Intelligence-Based Prediction of Individual Differences in Psychological Occupational Therapy Intervention Guided by the Realization of Occupational Values by Hongmei Jin, Yu Pang, Xiaohui Du, Leilei Shi

“…Finally, the predicted results of different groups of employees were compared, revealing the effectiveness of our algorithm.…”
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Accurate identification of oxygen desaturation status in COPD by using classifier ensemble. by Yue-Fang Wu, Xin Shu, Shiqi Wang, Xiaojun Xu, Pei-Li Sun

“…In the proposed method, five different features of each data point from the time series of SpO2 and pulse are extracted and then combined to form the discriminative feature of the corresponding data point; then, multiple base classifiers with different balanced training subsets are trained and then integrated by using AdaBoost Algorithm. The comparative computational results on the 6-min walk test (6MWT) of the recruited participants show that the proposed method achieved the best global performance with AUC (Area Under Curve) value of 0.8532, indicating that the proposed method can be effectively used for the identification of EIOD and could assist the clinic diagnosis of COPD.…”
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Tourism Demand Forecasting Based on Grey Model and BP Neural Network by Xing Ma

“…Secondly, in the structure algorithm of the BP neural network, the BP neural network model is established using the data series of travel time and the number of people. …”
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Throughput optimization of multi-hop and multi-path cooperation in WPSNs with hardware noises by Lina Yuan, Huajun Chen, Jing Gong

“…To enhance the minimum achievable data rate, we propose a multi-hop communication protocol based on time-division-multiple-access and an optimal throughput path algorithm. We formulate the time allocation optimization problem about energy and information transmission of the proposed multi-hop cooperation, and confirm through abundant simulation experiments that the proposed scheme can availably improve user unfairness and spectral efficiency, and thus enhance its throughput performance.…”
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Cloud-Assisted Scalable Video Delivery Solution over Mobile Ad Hoc Networks by Lujie Zhong, Shijie Jia

“…A novel supplier scheduling algorithm that assigns resource suppliers for fast responding user request in terms of their load and serving capacity is proposed. …”
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Development and application of machine learning models in US consumer price index forecasting: Analysis of a hybrid approach by Yunus Emre Gur

“…The data were combined with key economic indicators of the US, and the hyperparameters of the forecasting models were optimized using genetic algorithm and Bayesian optimization methods. According to the VAR model results, variables such as past values of CPI, oil prices (OP), and gross domestic product (GDP) have strong and significant effects on CPI. …”
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A Crude Oil Spot Price Forecasting Method Incorporating Quadratic Decomposition and Residual Forecasting by Yonghui Duan, Ziru Ming, Xiang Wang

“…Additionally, this work proposes to optimize the support vector regression model (SVR) by the seagull optimization algorithm (SOA). Ultimately, the empirical investigation created the feature-variable system and predicted the filtered features. …”
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Fault Diagnosis of PV Array Based on Time Series and Support Vector Machine by Ying Zhong, Bo Zhang, Xu Ji, Jieping Wu

“…Using the time series values as input data for a “one-to-one” multiclass classifier, we can identify and classify typical operational faults such as random shading, fixed shading, and aging degradation of PV arrays. The developed algorithmic model is trained and tested for different fault conditions using the data sets generated by the PV array simulation device. …”
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Investigation into effective mechanical properties of porous material produced by the additive manufacturing method by Seyed Mohammad Javad Tabatabaee, Mahdi Fakoor

“…Additive manufacturing techniques offer opportunities to create complex structures, and in this paper, we investigate the effective mechanical properties of porous material produced by the Fused Displacement Modeling (FDM) technique. We also propose an algorithm for generating a porous body containing irregularly shaped holes with arbitrary distributions in size and location while maintaining specific porosity. …”
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A stochastic artificial neural network model for investigating street vendor behavior in a night market by Pao-Kuan Wu, Tsung-Chih Hsiao, Ming Xiao

“…The artificial neural network model, which is renowned for its pattern classification abilities, is a type of deterministic algorithm. However, combining artificial neural network with Bayesian probability can convert the deterministic artificial neural network model into a stochastic artificial neural network model that is useful for conducting dynamic simulations. …”
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Application of deep residual networks to predict the effective properties of fiber-reinforced composites with voids by Mahdi Karimian, Seyed Ali Hosseini Kordkheili

“…In order to generate mechanical properties and image data for learning, appropriate RVEs together with periodic boundary conditions are used in FEMs. Using a random algorithm in RVEs, voids and fiber with different diameters are generated; the resulted composites consist of void and fiber volume fractions in the range of 0.00–0.03 and 0.40–0.65, respectively. …”
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