A Parametric Design Method for Hybrid Airfoils for Icing Wind Tunnel Test by Zhao Li, Guang-jun Yang, Xiao-yan Tong, Feng Jiang

“…Aiming at generating the full-scale flow field and ice accretion on the leading edge, multiobjective genetic optimization algorithm is used to design the hybrid airfoil under different conditions by combining the airfoil parameterization and solution of spatial constraint. …”
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Day-Ahead Crude Oil Price Forecasting Using a Novel Morphological Component Analysis Based Model by Qing Zhu, Kaijian He, Yingchao Zou, Kin Keung Lai

“…The significant performance improvement of the proposed algorithm incorporating the heterogeneous data characteristics, against benchmark random walk, ARMA, and SVR models, is also attributed to the innovative methodology proposed to incorporate this important stylized fact during the modelling process. …”
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Noniterative Localized and Space-Time Localized RBF Meshless Method to Solve the Ill-Posed and Inverse Problem by Mohammed Hamaidi, Ahmed Naji, Fatima Ghafrani, Mostafa Jourhmane

“…Then, the problem is solved by using either a developed numerical algorithm or a conventional optimization scheme. The convergence of the technique is achieved when the approximated solution is well compared to the unused data. …”
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An embedded intrusion detection and prevention system for home area networks in advanced metering infrastructure by Sahar Lazim Qaddoori, Qutaiba Ibrahim Ali

“…Also, it uses two machine learning models to detect the abnormality in periodic and daily data metering respectively. So, multiple algorithms have been used to find the suitable algorithm for each of the three anomaly detection models. …”
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Multiobjective Multistate System Preventive Maintenance Model with Human Reliability by Chao-Hui Huang, Chun-Ho Wang, Guan-Liang Chen

“…A customised version of the nondominated sorting genetic algorithm III is employed to ensure efficient solution of the PM model with human reliability—which is considered a constrained multiobjective combinatorial optimisation problem. …”
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Service Differentiated and Adaptive CSMA/CA over IEEE 802.15.4 for Cyber-Physical Systems by Feng Xia, Jie Li, Ruonan Hao, Xiangjie Kong, Ruixia Gao

“…To address this issue, this paper proposes a priority-based Service Differentiated and Adaptive CSMA/CA (SDA-CSMA/CA) algorithm to provide differentiated QoS for various Smart Grid applications as well as dynamically initialize backoff exponent according to traffic conditions. …”
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A Car-Following Model Based on Safety Margin considering ADAS and Driving Experience by Yugang Wang, Nengchao Lyu

“…Other four parameters (SMDL, SMDH, α1, and α2) were calibrated using a classical genetic algorithm, and the effects of ADAS and driving experience in these four parameters were analyzed using T-test. …”
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GIS and remote sensing based analysis for monitoring urban growth dynamics in Western Himalayan city of Dharamshala, India by Nishant Mehra, Janaki Ballav Swain

“…The geographical and topographical complexities of the region necessitated the use of spectral vegetation indices, ancillary data, and the Strahler order algorithm to accurately represent LULC classes in the form of post-classification correction measures. …”
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Rolling Bearing Diagnosis Based on Adaptive Probabilistic PCA and the Enhanced Morphological Filter by Yuanqing Luo, Changzheng Chen, Siyu Zhao, Xiangxi Kong, Zhong Wang

“…To solve this problem, a parameter adaptive PPCA method based on grasshopper optimization algorithm (GOA) is proposed. Finally, combining the advantages of the above algorithms, a comprehensive rolling bearing fault diagnosis method named APPCA-EMDF is proposed in this paper. …”
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Effect of Flow Attack Angle for V-Wavy Plate on Flow and Heat Transfer in a Square Channel Heat Exchanger by Amnart Boonloi, Withada Jedsadaratanachai

“…The finite volume method with SIMPLE algorithm is selected to solve the present problem. …”
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Texture Analysis and Classification using Local Binary Patterns and Statistical Features by Hasan Maher

“…The combined use of local and global texture information is helpful in the presented problem when prioritizing the recognition of complex texture patterns that cannot be deciphered by a single algorithm. To demonstrate the efficiency of the proposed hybrid method, several experiments are performed on several texture databases. …”
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Fault Diagnosis Method for Rolling Bearing Based on Sparse Principal Subspace Discriminant Analysis by Hongdi Zhou, Lin Zhu, Xixing Li

“…The experimental results demonstrated that the feasibility and effectiveness of the proposed fault diagnosis model based on a sparse principal subspace discriminant analysis algorithm can achieve higher recognition accuracy than fisher discriminant analysis and its extensions, and it is relatively insensitive to the impact of noise and outliers owing to the sparse property.…”
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A Roller Bearing Fault Diagnosis Method Based on LCD Energy Entropy and ACROA-SVM by HungLinh Ao, Junsheng Cheng, Kenli Li, Tung Khac Truong

“…This study investigates a novel method for roller bearing fault diagnosis based on local characteristic-scale decomposition (LCD) energy entropy, together with a support vector machine designed using an Artificial Chemical Reaction Optimisation Algorithm, referred to as an ACROA-SVM. First, the original acceleration vibration signals are decomposed into intrinsic scale components (ISCs). …”
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First in Vivo SPECT Imaging of Mouse Femorotibial Cartilage Using Tc-NTP 15-5 by Elisabeth Miot-Noirault, Aurélien Vidal, Philippe Auzeloux, Jean-Claude Madelmont, Jean Maublant, Nicole Moins

“…Tomographic reconstruction of SPECT data was performed with a three-dimensional ordered subset expectation maximization algorithm, and slices were reconstructed in three axes. 99m Tc-NTP 15-5 rapidly accumulated in the joint, with a peak of radioactivity being reached from 5 minutes postinjection and maintained for at least 90 minutes. …”
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On Calibration and Direction Finding with Uniform Circular Arrays by Stephan Häfner, Martin Käske, Reiner Thomä

“…Furthermore, local calibration, where array calibration measurements are incorporated in the DF algorithm, is considered as well. Common DF algorithms will be outlined, their assumptions regarding array properties will be addressed, and required preprocessing steps such as the beam-space transformation will be presented. …”
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Time-Dependent Transportation Network Design considering Construction Impact by Yi He, Ziqi Song, Lihui Zhang

“…A time-dependent DNDP (T-DNDP) model is developed with the objective of minimizing total weighted net user cost during the entire planning horizon. An active-set algorithm is applied to solve the model. A simple example network is first utilized to demonstrate the necessity of considering the construction process in T-DNDP and to illustrate the trade-off between the construction impact and the benefit realized through capacity extension. …”
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A Decision-Making Model Using Machine Learning for Improving Dispatching Efficiency in Chengdu Shuangliu Airport by Yingmiao Qian, Shuhang Chen, Jianchang Li, Qinxin Ren, Jinfu Zhu, Ruijia Yuan, Hao Su

“…The mathematical methods such as function equation, BP neural network algorithm, and queuing theory were used to establish a complete decision-making model for taxi drivers and an optimization model of dispatching efficiency at the airport. …”
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Bearing Fault Diagnosis Method Based on Multidomain Heterogeneous Information Entropy Fusion and Model Self-Optimisation by Renwang Song, Xiaolu Bai, Rui Zhang, You Jia, Lihu Pan, Zengshou Dong

“…Nineteen key model parameters that were required for HSMSF construction were selected by adaptive optimisation using the chaos elitist modified sparrow search algorithm (CEI-SSA), and a self-learning diagnostic model that is suitable for multiple detection points was constructed. …”
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Latency Improvement Strategies for Reliability-Aware Scheduling in Industrial Wireless Sensor Networks by Felix Dobslaw, Tingting Zhang, Mikael Gidlund

“…Moreover, SchedEx executes orders of magnitude faster than recent algorithms in the literature while producing schedules with competitive latencies. …”
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Using Propensity Score Matching Technique to Estimate Utilization and Costs of General Practitioners’ Services associated with Alzheimer’s Disease by Rajan Sharma, Elizaveta Sopina, Jan Sørensen

“…Propensity scores were then estimated using the generalized boosted model, a multivariate, nonparametric and automated algorithm technique. **Setting:** Observational data from Statistics Denmark registry. …”
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