The CORDIC algorithm for high-speed image rotation on FPGA platform by Gao Yujie, Li Wusen, Qi Yunfei, Chen Wenjian

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Maximum Power Point Tracking Algorithms for the Wind Energy Systems by Ersagun Kürşat Yaylacı

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Predicting Voluntary Auditor Change Using the Water Cycle Algorithm by Erfan Safdel, Hoda Eskandar, Hassan Yazdifar

“…In this regard, the purpose of this research is to predict voluntary auditor change (non-continuation of the relationship with the current client) using a meta-heuristic algorithm (Water Cycle Algorithm, WCA) and to compare the results with the logistic regression method.MethodsThe statistical sample is 185 companies listed on the Tehran Stock Exchange, selected by the systematic elimination method from 2017 to 2023, and their information was collected. …”
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Music Genre Classification Algorithm Based on Multihead Attention Mechanism by Peng Cheng

“…It can be seen from the experimental research that the music genre classification algorithm based on the multihead attention mechanism proposed in this paper has obvious advantages compared with the traditional algorithm, and it has a certain role in music genre classification.…”
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Multiobject Detection Algorithm Based on Adaptive Default Box Mechanism by Jinling Li, Qingshan Hou, Jinsheng Xing

“…Experimental results show that, compared with the traditional SSD algorithm, the improved algorithm has a better detection effect and higher accuracy in complex scenes.…”
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A Comparison of Four Classification Algorithms for Facial Expression Recognition by Hivi I. Dino, Maiwan B. Abdulrazzaq

“…Facial expression recognition (FER) has achieved an extreme role in research area since the 1990s. This paper provides a comparison approach for FER based on three feature selection methods which are correlation, gain ration, and information gain for determining the most distinguished features of face images using multi-classification algorithms which are multilayer perceptron, Naïve Bayes, decision tree, and K-nearest neighbor (KNN). …”
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Overcoming Data Scarcity in Calibrating SUMO Scenarios With Evolutionary Algorithms by Jakob Kappenberger, Heiner Stuckenschmidt

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Improvement of the Cross-Scale Multi-Feature Stereo Matching Algorithm by Nan Chen, Dongri Shan, Peng Zhang

“…With the continuous advancement of industrialization and intelligentization, stereo-vision-based measurement technology for large-scale components has become a prominent research focus. To address weak-textured regions in large-scale component images and reduce mismatches in stereo matching, we propose a cross-scale multi-feature stereo matching algorithm. …”
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Comparison of Detection and Classification Algorithms Using Boolean and Fuzzy Techniques by Rahul Dixit, Harpreet Singh

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Construction and Analysis of Macroeconomic Forecasting Model Based on Biclustering Algorithm by Chao Pang

“…The results of the class methods are compared. The research results show that the hierarchical clustering algorithm is relatively intuitive and easy to apply to the overall analysis of the national economic divisions. …”
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Metaheuristic Algorithms to Determine PID Controller Parameters for Mobile Robots by DINH Quy Long, NGUYEN Tuan Minh, NGUYEN The Dung

“…MATLAB simulation results indicate that metaheuristic algorithms significantly reduce errors and improve stability compared to other methods. …”
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Crocodile optimization algorithm for solving real-world optimization problems by Fu Yan, Jin Zhang, Jianqiang Yang

“…Abstract Nature-inspired bionic algorithms have become one of the most fascinating techniques in computational intelligence research, and have shown great potential in real-world challenging problems for their simplicity and flexibility. …”
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An improved YOLOv8n algorithm for dense pedestrian scenarios by Wang Lili, Fan Panpan, Zhang Shiyu

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Microservice combination optimisation based on improved gray wolf algorithm by Jingjing Hu, Xiaojun Xu, Jin Hao, Xiuqi Yang, Kefan Qiu, Yuanzhang Li

“…The experimental results verify that the error rate of the method is only 0.528% on the non-functional combination optimisation problem, and the computational efficiency of the algorithm increases by 97.29% when the complexity of the problem search space increases, while CGWO improves 65.97% and 81.25% respectively in the accuracy of optimisation compared to the prototype of the algorithm (GWO), and has a stable optimisation performance, aspect. …”
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An Interleaved Artificial Bee Colony algorithm for dynamic optimisation problems by Salwani Abdullah, Shams K. Nseef, Ayad Turky

“…The experimental results indicated that the proposed algorithm achieved better results than the compared methods for 8 out of 11 scenarios.…”
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Efficient Big Integer Multiplication and Squaring Algorithms for Cryptographic Applications by Shahram Jahani, Azman Samsudin, Kumbakonam Govindarajan Subramanian

“…Compared to the adopted classical and Karatsuba multiplication algorithms for squaring, the proposed squaring algorithm is 2 to 3.7 and 7.9 to 2.5 times faster for squaring 32-bit and 8-Kbit numbers, respectively. …”
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Internet Financial Risk Monitoring and Evaluation Based on GABP Algorithm by Yaqin Guang, Shunyong Li, Quanping Li

“…The financial risks are monitored and evaluated by the Internet financial system as the research object. Finally, GABP is further optimized by the simulated annealing (SA) algorithm. …”
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Retinal Vessel Segmentation Using Math-Inspired Metaheuristic Algorithms by Mehmet Bahadır Çetinkaya, Sevim Adige

“…Firstly, the segmentation results of each algorithm were obtained and compared with each other. …”
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A memetic algorithm for high‐strength covering array generation by Xu Guo, Xiaoyu Song, Jian‐tao Zhou, Feiyu Wang, Kecheng Tang, Zhuowei Wang

“…Abstract Covering array generation (CAG) is the key research problem in combinatorial testing and is an NP‐complete problem. …”
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A Novel Multiobjective Evolutionary Algorithm Based on Regression Analysis by Zhiming Song, Maocai Wang, Guangming Dai, Massimiliano Vasile

“…However, how to utilize the regularity to design multiobjective optimization algorithms has become the research focus. In this paper, based on this regularity, a model-based multiobjective evolutionary algorithm with regression analysis (MMEA-RA) is put forward to solve continuous multiobjective optimization problems with variable linkages. …”
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