Optimal Allocation Method of Discrete Manufacturing Resources for Demand Coordination between Suppliers and Customers in a Fuzzy Environment by Wei Xu, Yinyun Yu

“…Next, the bilevel planning model for optimal configuration of manufacturing resources in discrete manufacturing environment is established under the consideration of the respective interests of both the customers and the suppliers, and the fast nondominated sorting genetic algorithm (NSGA-II) is used to solve the model. Finally, an example is given to verify the validity and feasibility of the model.…”
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Experimental assessment of damage and microplastic release during cyclic loading of clear aligners. by Claudia Barile, Claudia Cianci, Vimalathithan Paramsamy Kannan, Giovanni Pappalettera, Carmine Pappalettere, Caterina Casavola, Michele Laurenziello, Domenico Ciavarella

“…A dimensional analysis based on k-means image segmentation and edge detection algorithm is developed to analyse the MPs. The dimensional analysis of the MPs revealed that the ingestion of the MPs released by all the three aligners does not pose a health risk.…”
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Persistent Homology Combined with Machine Learning for Social Network Activity Analysis by Zhijian Zhang, Yuqing Sun, Yayun Liu, Lin Jiang, Zhengmi Li

“…The results show that the proposed algorithm can effectively classify social network users into different groups, which provides a good foundation for further research and application.…”
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Optimization Analysis of Automotive Asymmetric Magnetic Pole Permanent Magnet Motor by Taguchi Method by Wenchao Zhang, Liwei Shi, Kaiwen Liu, Lintao Li, Jianning Jing

“…The Taguchi method is used to be a multiobjective optimization algorithm. The total harmonic distortion of the air-gap flux density is the first optimization goal. …”
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Feedback control of an HBV model based on ensemble kalman filter and differential evolution by Junyoung Jang, Kihoon Jang, Hee-Dae Kwon, Jeehyun Lee

“…We derive a piecewise constant drug schedule by applying DE algorithm. Numerical simulations are performed using various weights in the objective functional to suggest optimal treatment strategies in different situations.…”
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Optimized Super-Twisting Sliding Mode Control with Parameter Estimation for Autonomous Vehicle Longitudinal Motion on Downhill Road by Kbrom Lbsu Gdey, Woo Young Choi

“…To enhance the controller’s performance, uncertain parameters are optimized using the gradient descent method, a linear regression-based technique. The OST-SMC algorithm shows enhanced robustness against disturbances and parameter uncertainties compared to conventional sliding mode controllers. …”
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Machine Learning for Predicting Distant Metastasis of Medullary Thyroid Carcinoma Using the SEER Database by Zhen-Tian Guo, Kun Tian, Xi-Yuan Xie, Yu-Hang Zhang, De-Bao Fang

“…Demographic data of MTC patients were extracted from the Surveillance, Epidemiology, and End Results (SEER) database of the National Institutes of Health between 2004 and 2015 to develop six ML algorithm models. Models were evaluated based on accuracy, precision, recall rate, F1-score, and area under the receiver operating characteristic curve (AUC). …”
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A Hybrid Constraints Handling Strategy for Multiconstrained Multiobjective Optimization Problem of Microgrid Economical/Environmental Dispatch by Xin Li, Jingang Lai, Ruoli Tang

“…Then, a hybrid constraints handling strategy (HCHS) based on nondominated sorting genetic algorithm II (NSGAII) is proposed to deal with the typical constraints, by which the constraints violations can be removed in several steps during the evolutionary process. …”
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Novel Unsupervised Machine Learning Method for Identifying Falling from Height Hazards in Building Information Models through Path Simulation Sampling by Yu Yan, Shen Zhang, Xingyu Wang, Xuechun Li

“…Unlike prior studies, we emphasized the spatial distribution of workers by incorporating site layout and construction schedule considerations. The algorithm generated a safe routing plan, which was validated in experiments, emphasizing its effectiveness in early detection and mitigation of FFH risks. …”
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Prediction of Mg Alloy Corrosion Based on Machine Learning Models by Zhenxin Lu, Shujing Si, Keying He, Yang Ren, Shuo Li, Shuman Zhang, Yi Fu, Qi Jia, Heng Bo Jiang, Haiying Song, Mailing Hao

“…The RF algorithm offered the most accurate predictions than the other three machine learning algorithms. …”
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The Intuitive Trap: Understanding Cognitive Bias in the Digital Age by Cansu Akoglan

“…The fast-paced, heuristic-driven nature of digital content - ranging from rapidly evolving news feeds to algorithm-driven information ecosystems - means that intuitive processes often dominate user engagement, leading to cognitive biases. …”
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Research on Cooperative Control of the Hydraulic System of Multiple Intelligent Vehicles Combined Transportation by Jianjun Wang, Jingyi Zhao

“…The simulation results show that adding the PID control algorithm can improve the speed stability of the transport vehicle. …”
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Effective First-Break Picking of Seismic Data Using Geometric Learning Methods by Zhongyang Wen, Jinwen Ma

“…Over the past few years, both unsupervised and supervised learning algorithms have been applied to 2D seismic arrival time picking and obtained good picking results. …”
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Evolutionary Computation with Spatial Receding Horizon Control to Minimize Network Coding Resources by Xiao-Bing Hu, Mark S. Leeson

“…The minimization of network coding resources, such as coding nodes and links, is a challenging task, not only because it is a NP-hard problem, but also because the problem scale is huge; for example, networks in real world may have thousands or even millions of nodes and links. Genetic algorithms (GAs) have a good potential of resolving NP-hard problems like the network coding problem (NCP), but as a population-based algorithm, serious scalability and applicability problems are often confronted when GAs are applied to large- or huge-scale systems. …”
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Integration and Fusion of Geologic Hazard Data under Deep Learning and Big Data Analysis Technology by Feng He, Chunxue Liu, Hongjiang Liu

“…The results show that the average score of the BRISQUE algorithm in Image Quality Assessment (IQA) is above 0.9, and the average running time is 0.1523 s. …”
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Refractured Well Selection for Multicriteria Group Decision Making by Integrating Fuzzy AHP with Fuzzy TOPSIS Based on Interval-Typed Fuzzy Numbers by Tiejun Li, Jianhua Jin, Chunquan Li

“…The fuzzy AHP is used to analyze the structure of the selection problem and to determine weights of the criteria with triangular fuzzy numbers, and fuzzy TOPSIS with interval-typed triangular fuzzy numbers is proposed to determine final ranking for all the alternatives. Furthermore, the algorithm allows finding the best alternatives. The feasibility of the proposed methodology is also demonstrated by the application of refractured well-selection problem and the method will provide a more effective decision-making tool for MCGDM problems.…”
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Intelligent Edge Computing Detection Vehicle and Detection Method Based on Tunnel Lining Concrete by Xiaoming You, Gongxing Yan, Zhengqiang Yang

“…Therefore, this article designs an intelligent edge algorithm system for cracks on the lining surface to detect the edges of the image, extract the edges of cracks, and remove useless interference information in the lining background. …”
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Formal Analysis of Fairness for Optimistic Multiparty Contract Signing Protocol by Xiaoru Li, Xiaohong Li, Guangquan Xu, Jing Hu, Zhiyong Feng

“…Furthermore, for solving or mitigating the state space explosion problem, we set a state reduction algorithm which can decrease the redundant states properly and reduce the time and space complexity greatly. …”
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Proactive Alleviation Procedure to Handle Black Hole Attack and Its Version by M. Rajesh Babu, S. Moses Dian, Siva Chelladurai, Mathiyalagan Palaniappan

“…Therefore this paper proposes an alleviation procedure which consists of timely mandate procedure, hole detection algorithm, and sensitive guard procedure to detect the maliciously behaving nodes. …”
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Estimation of potential field environments from heterogeneous behaviour of sensing agents by Anastasia Kadochnikova, Visakan Kadirkamanathan

“…An approximate expectation‐maximisation algorithm is employed for joint estimation of the global field and of the agent behavioural modes from observed agent trajectories. …”
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