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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Modern concept of treatment of biliary peritonitis complicated by abdominal sepsis (<i>Review of the literature</i>) by O. A. Tereshchenko, A. A. Botashev, Yu. V. Pomeschik, E. A. Petrosyan, V. I. Sergiyenko

“…Features of each method in algorithm of essential medical actions are stressed.Conclusion. …”
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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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Optimization and Design of Wideband Antenna Based on Q Factor by Han Liu, Chengyou Yin, Weidong Gao, Yulong Sun

“…Firstly, the volume-surface integral equations (VSIEs) and self-adaptive differential evolution algorithm (DEA) are introduced as the basic theories to optimize antennas. …”
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Rough Set Approach for Group Evacuation Behavior Analysis in Passenger Transport Hub Area by Peng Chen, Xiaofeng Ma, Shunying Zhu

“…In the approach, improved tabu search-based attribute reduction is proposed to find the minimal subset of attributes required to fully describe the information of group evacuation decision-making, and value reduction algorithm based on knowledge granulation is used to generate rules of group evacuation decision-making. …”
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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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Compressed Sensing Based on the Characteristic Correlation of ECG in Hybrid Wireless Sensor Network by Weiwei Li, Ting Jiang, Ning Wang

“…Experimental results show that its recovery quality is better than some existing CS-based ECG compression algorithms and sufficient for practical use.…”
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Enhancing Railway Maintenance Safety Using Open-Source Computer Vision by Donghee Shin, Jangwon Jin, Jooyoung Kim

“…A recognition and detection algorithm for railway signs, tracks, and maintenance workers was constructed to improve the accuracy of the developed prevention system.…”
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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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Multiple-Model Cardinality Balanced Multitarget Multi-Bernoulli Filter for Tracking Maneuvering Targets by Xianghui Yuan, Feng Lian, Chongzhao Han

“…By integrating the cardinality balanced multitarget multi-Bernoulli (CBMeMBer) filter with the interacting multiple models (IMM) algorithm, an MM-CBMeMBer filter is proposed in this paper for tracking multiple maneuvering targets in clutter. …”
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Modeling and Simulation of Complex Network Attributes on Coordinating Large Multiagent System by Yang Xu, Xiang Li, Ming Liu

“…We have theoretically analyzed that the characters of complex network make a significant difference with both random and intelligent coordination strategies, which may contribute to future multiagent algorithm design.…”
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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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Satisfaction-Based Multiobjective Optimization of the Design of a 65 GHz Millimeter-Wave Connector by Xiang Li, Lijun Tong, Zheng Kong, Wenju Lu, Qian Xie

“…The model is optimized by innovatively using the multiobjective chaotic optimization algorithm in microwave finite-element simulations. …”
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The Holling Type II Population Model Subjected to Rapid Random Attacks of Predator by Jevgeņijs Carkovs, Jolanta Goldšteine, Kārlis Šadurskis

“…We propose a stochastic approximation algorithm for quantitative analysis of the above model based on the probabilistic limit theorem. …”
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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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Multicooperation of Turtle-inspired amphibious spherical robots by Liang Zheng, Yuke Ma, Hui Yu, You Tang

“…First, a novel underwater kinematic model using the unit quaternion (UQ) algorithm is proposed based on attitude interpolation to realize MDOF movement. …”
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Adjusting U-Net for the aortic abdominal aneurysm CT segmentation case by R.U. Epifanov, N.A. Nikitin, A.A. Rabtsun, L.N. Kurdyukov, A.A. Karpenko, R.I. Mullyadzhanov

“…We explored different augmentation styles and showed the importance of applying intensity augmentation style to improve segmentation algorithm robustness in conditions of clinical data diversity. …”
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