Retracted: VR Panorama Mosaic Algorithm Based on Particle Swarm Optimization and Mutual Information by Zhonggao Yang, Dan Xiang, Yili Cheng

“…This algorithm is based on particle swarm optimization, combined with the advantages of traditional mutual information algorithm, according to the characteristics of virtual reality imaging, a new model is established. …”
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Constant force grinding controller for robots based on SAC optimal parameter finding algorithm by Chosei Rei, Qichao Wang, Linlin Chen, Xinhua Yan, Peng Zhang, Liwei Fu, Chong Wang, Xinghui Liu

“…To verify the algorithm's feasibility, a simulation model of a grinding robot with sensible force information is established, and the simulation results show that the controller trained with the algorithm can achieve constant force grinding of the robot. …”
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TurboPixels: A Superpixel Segmentation Algorithm Suitable for Real-Time Embedded Applications by Abiel Aguilar-González, Alejandro Medina Santiago, Jorge Antonio Orozco Torres, J. A. de Jesús Osuna-Coutiño, Madaín Pérez Patricio, Néstor A. Morales-Navarro

“…This makes it possible to reduce algorithmic complexity and increases processing speed. …”
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Modified rainflow algorithm for temperature-time-dependent counting in lifetime estimation of power devices by Renata O. de Sousa, Rodrigo C. de Barros, William C. S. Amorim, Allan F. Cupertino, Heverton Augusto Pereira, Lenin M. F. Morais

“…Among the available options, the rainflow algorithm is the most widely used. Since the rainflow algorithm was originally designed for fatigue analysis, it faces challenges when applied to power devices. …”
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INDIVIDUAL PROGNOSTIC ALGORITHM FOR ESTIMATING THE RISK OF ESOPHAGEAL CANCER PROGRESSION AFTER SURGICAL TREATMENT by O. I. Kit, E. Yu. Zlatnik, A. L. Bazaev, A. A. Demidova, I. A. Novikova

“…The development of laboratory criteria for predicting esophageal cancer (EC) prognosis is of great importance due to the need to achieve personalized approach to cancer treatment. Since the role of lymphocytic infiltration in EC remains controversial, our goal was to develop a prognostic algorithm for estimating the risk of esophageal squamous cell carcinoma progression, considering its lymphocytic microenvironment.Material and Methods. …”
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A Track Segment Association Method Based on Heuristic Optimization Algorithm and Multistage Discrimination by Yiming Chen, Zhikun Zhang, Hui Zhang, Weimin Huang

“…This paper proposes a new track segment association (TSA) algorithm that integrates optimal tracklet assignment, iterative discrimination, and multi-stage association. …”
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Application of Machine Learning Algorithms to Predict Gas Sorption Capacity in Heterogeneous Porous Material by Tasbiha Ibad, Syed Muhammad Ibad, Haylay Tsegab, Rabeea Jaffari

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Arrhythmia detection with transfer learning architecture integrating the developed optimization algorithm and regularization method by Fatma Akalın, Pınar Dervişoğlu Çavdaroğlu, Mehmet Fatih Orhan

“…Therefore, the optimization algorithm that minimizes the loss function and the regularization method that controls the complexity of the model are proposed. …”
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Implementation of a Second-Order TVD Transport Algorithm in the General Ocean Model (GOM) by Jungwoo Lee, Jun Lee, Sang-Leen Yun, Seog-Ku Kim

“…This study presents the implementation of a scalar transport algorithm in the recently developed General Ocean Model (GOM), a three-dimensional, unstructured grid, finite volume/finite difference model. …”
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Automated Detection of Aberrant Episodes in Epileptic Conditions: Leveraging EEG and Machine Learning Algorithms by Uddipan Hazarika, Bidyut Bikash Borah, Soumik Roy, Manob Jyoti Saikia

“…The intent of this study is to precisely detect epileptic episodes by leveraging machine learning and deep learning algorithms on EEG inputs. The proposed approach aims to evaluate the feasibility of developing a novel technique that utilizes the Hurst exponent to identify EEG signal properties that could be crucial for classification. …”
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Prediction of contact resistance of electrical contact wear using different machine learning algorithms by Zhen-bing Cai, Chun-lin Li, Lei You, Xu-dong Chen, Li-ping He, Zhong-qing Cao, Zhi-nan Zhang

“…Machine learning (ML) algorithms were used to predict the electrical contact performance of different factors after wear to determine the correlation between different factors and contact resistance. …”
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Interior Point Algorithm in Multi-objective Portfolio Optimization: GlueVaR Approach by Elaheh Gohania, Gholamreza Mansourfar, Fahimeh Biglari

“…The major objective of this research is to apply the inner point mathematical algorithm to optimize the stock portfolio and to use this algorithm to address the multi-objective portfolio optimization problem. …”
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Application of machine learning algorithm incorporating dietary intake in prediction of gestational diabetes mellitus by Tianze Ding, Peijie Liu, Jie Jia, Hui Wu, Jie Zhu, Kefeng Yang

“…Conclusion: XGBoost and LightGBM algorithms outperform logistic regression in predicting GDM among Chinese pregnant women. …”
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Predicting the Likelihood of Operational Risk Occurrence in the Banking Industry Using Machine Learning Algorithms by Hamed Naderi, Mohammad Ali Rastegar Sorkhe, Bakhtiar Ostadi, Mehrdad Kargari

“…Both algorithms demonstrated comparable performance across other modes. …”
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Game-Theoretic Based Distributed Scheduling Algorithms for Minimum Coverage Breach in Directional Sensor Networks by Jin Li, Kun Yue, Weiyi Liu, Qing Liu

“…Third, we present the explicit bounds on the coverage performance of the proposed algorithms by theoretical analysis of the algorithms' coverage performance. …”
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K-Means Centroid Optimization with Genetic Algorithm for Clustering Micro, Small, Medium Enterprises in Yogyakarta by Muhammad Faris Akbar, Lisna Zahrotun

“…However, the weakness of K-Means is in determining the cluster centroid randomly, which can result in suboptimal clustering results, especially since it tends to get stuck on local solutions. This research aims to overcome this weakness by integrating the Genetic Algorithms (GA) into the K-Means process, optimizing the initial centroid, and improving clustering quality. …”
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Shear Strength Determination in RC Beams Using ANN Trained with Tabu Search Training Algorithm by Alireza Shahbazian, Hamidreza Rabiefar, Babak Aminnejad

“…This study tackles this challenge by employing Artificial Neural Network (ANN) models. Since, according to No Free Lunch theorem, the performance of optimization algorithms is problem-dependent, this paper aims to assess the feasibility of modeling the shear strength of RC beams using ANNs trained with the Tabu Search Training (TST) algorithm. …”
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Performance Comparison of Particle Swarm Optimization and Gravitational Search Algorithm to the Designed of Controller for Nonlinear System by Sahazati Md Rozali, Mohd Fua’ad Rahmat, Abdul Rashid Husain

“…This paper presents backstepping controller design for tracking purpose of nonlinear system. Since the performance of the designed controller depends on the value of control parameters, gravitational search algorithm (GSA) and particle swarm optimization (PSO) techniques are used to optimise these parameters in order to achieve a predefined system performance. …”
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A Genetic Algorithm Approach for Expedited Crossing of Emergency Vehicles in Connected and Autonomous Intersection Traffic by Qiang Lu, Kyoung-Dae Kim

“…This paper proposes an intersection control algorithm which aims to determine an efficient vehicle-passing sequence that allows the emergency vehicle to cross an intersection as soon as possible while the travel times of other vehicles are minimally affected. …”
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RGB Color Model Based the Fire Detection Algorithm in Video Sequences on Wireless Sensor Network by Yoon-Ho Kim, Alla Kim, Hwa-Young Jeong

“…Since the fire causes serious disasters, fire detection has been an important study to protect human life. …”
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