Algorithm of athletes’ fitness structure individual features’ determination with the help of multidimensional analysis (on example of basketball) by Zh.L. Kozina, M. Cieslicka, K. Prusik, R. Muszkieta, I.N. Sobko, O.A. Ryepko, T.A. Bazilyuk, S.B. Polishchuk, A.V. Osiptsov, S.A. Korol

Get full text

Automatic cutting and suturing control system based on improved FP16 visual recognition algorithm by Jiayin Wang, Weidong Zhao

“…The DarkPose image key point localization algorithm and the Yolov5 image detection algorithm are utilized to accurately determine the positions of surgical instruments, suture needles, and target points. …”
Get full text

Prediction Model of Phosphorus Content at the End Point of Electroslag Remelting Based on MI and XGBoost Algorithms by Liu　Yuxiao, Dong　Yanwu, Jiang　Zhouhua, Chen　Xi

Get full text

Optimizing Goods Placement in Logistics Transportation using Machine Learning Algorithms based on Delivery Data by Moh Husnus Syawab, Yunifa Miftachul Arief, Fresy Nugroho, Ririen Kusumawati, Cahyo Crysdian, Agung Teguh Wibowo Almais

Get full text

Lithium-ion battery RUL prediction based on optimized VMD-SSA-PatchTST algorithm by Pei Tang, Zetao Qiu, Zhongran Yao, Jiahao Pan, Dashuai Cheng, Xiaoyong Gu, Changcheng Sun

“…To enhance decomposition quality, the Whale Optimization Algorithm (WOA) optimizes the number of modes K and penalty factor α by minimizing mean envelope entropy. …”
Get full text

Modeling Compressive Strength of Self-Compacting Concrete (SCC) Using Novel Optimization Algorithm of AOA by Francisca Blanco, Ye Woo

“…This paper presents a novel approach by combining a Support Vector Machine (SVM) with advanced optimization algorithms to estimate the CS of SCC mixtures accurately. …”
Get full text

Optimization of lubricating oil change intervals for marine internal combustion engines: algorithm research and design by Justas Žaglinskis, Laurynas Jagėla

“…The main objective of the algorithm is to reasonably extend the service life of the lubricating oil in accordance with the recommendations of the engine manufacturers and while maintaining a reminiscent operating condition of the machinery. …”
Get full text

A hybrid differential evolution based on gaining‑sharing knowledge algorithm and harris hawks optimization. by Xuxu Zhong, Meijun Duan, Xiao Zhang, Peng Cheng

“…In addition, DEGH is compared with eight state-of-the-art DE algorithms on 32 benchmark functions. Experimental results show that the proposed DEGH algorithm is significantly superior to the compared algorithms.…”
Get full text

Construction of Social Security Fund Cloud Audit Platform Based on Fuzzy Data Mining Algorithm by Yangting Huai, Qianxiao Zhang

“…Guided by the theories of system theory, synergetic theory, and other disciplines and based on fuzzy data mining algorithm, this article constructs a three-tier social security fund cloud audit platform. …”
Get full text

A Genetic Algorithm Approach for Expedited Crossing of Emergency Vehicles in Connected and Autonomous Intersection Traffic by Qiang Lu, Kyoung-Dae Kim

“…Since the number of possible vehicle-passing sequences increases rapidly with the number of vehicles, finding an efficient sequence of vehicles in a short time is the main challenge of the study. A genetic algorithm is proposed to solve the optimization problem which finds the optimal vehicle sequence that gives the emergency vehicles the highest priority. …”
Get full text

Artificial Neural Network Algorithm for Condition Monitoring of DC-link Capacitors Based on Capacitance Estimation by Hammam Abdelaal Hammam Soliman, Huai Wang, Brwene Salah Abdelkarim Gadalla, Frede Blaabjerg

“…A capacitance estimation method based on Artificial Neural Network (ANN) algorithm is therefore proposed in this paper. The implemented ANN estimated the capacitance of the DC-link capacitor in a back-toback converter. …”
Get full text

A Novel Rolling Bearing Fault Diagnosis Method Based on the NEITD-ADTL-JS Algorithm by Shi Zhuo, Xiaofeng Bai, Junlong Han, Jianpeng Ma, Bojun Sun, Chengwei Li, Liwei Zhan

“…The innovation lies in the signal preprocessing stage, where a Noise Eliminated Intrinsic Time-Scale Decomposition (NEITD) algorithm is introduced. This algorithm adaptively decomposes unified-phase sine wave signals to effectively extract the geometric mean of the intrinsic rotational component, and selects the optimal decomposition result based on the orthogonality index, significantly improving the quality and reliability of the signals. …”
Get full text

Research on Improved Bridge Surface Disease Detection Algorithm Based on YOLOv7-Tiny-DBB by Haichao An, Ying Fan, Zhuobin Jiao, Meiqin Liu

“…The results indicate that, compared to the YOLOv7-Tiny algorithm, the improved algorithm achieves an increase of 4.2% in precision, 6.5% in recall, 5.4% in F1 score, and 7.3% in mean Average Precision (mAP). …”
Get full text

Sample Denoising and Optimization Technique Based on Noise Filtering and Evolutionary Algorithms for Imbalanced Data Classification by Fhira Nhita, Asniar, Isman Kurniawan, Adiwijaya

“…Technically, we performed a sample denoising process with Tomek links before applying the SMOTE and then followed by sample optimization with an evolutionary algorithm after the SMOTE. A genetic algorithm (GA) as one of the popular evolutionary algorithms is utilized for sample optimization including synthetic samples of SMOTE and original samples from both classes. …”
Get full text

Global data for ecology and epidemiology: a novel algorithm for temporal Fourier processing MODIS data. by Jörn P W Scharlemann, David Benz, Simon I Hay, Bethan V Purse, Andrew J Tatem, G R William Wint, David J Rogers

“…The algorithm was then applied to produce layers that capture the seasonality in MODIS data for the period from 2001 to 2005.…”
Get full text

YOLOv8s-SNC: An Improved Safety-Helmet-Wearing Detection Algorithm Based on YOLOv8 by Daguang Han, Chunli Ying, Zhenhai Tian, Yanjie Dong, Liyuan Chen, Xuguang Wu, Zhiwen Jiang

“…When compared to the original YOLOv8, the enhanced algorithm shows a 2.6% improvement in precision (P), a 7.6% increase in recall (R), a 6.5% enhancement in mAP_0.5, and a 4.1% improvement in mean average precision (mAP). …”
Get full text

Enhancing Real-Time Road Object Detection: The RD-YOLO Algorithm With Higher Precision and Efficiency by Weijian Wang, Wei Yu

“…Finally, we introduce MPDIoU as the new bounding box regression loss function, replacing the original loss function to accelerate algorithm convergence and improve target localization accuracy. …”
Get full text

Travel Time Prediction in a Multimodal Freight Transport Relation Using Machine Learning Algorithms by Nikolaos Servos, Xiaodi Liu, Michael Teucke, Michael Freitag

“…Machine Learning (ML) algorithms are well suited to solve non-linear and complex relationships in the collected tracking data. …”
Get full text

Midspan Deflection Prediction of Long-Span Cable-Stayed Bridge Based on DIWPSO-SVM Algorithm by Lilin Li, Qing He, Hua Wang, Wensheng Wang

“…The DIWPSO-SVM model achieved an average prediction error of 1.43 mm and a root-mean-square error (RMSE) of 2.05, significantly outperforming the original SVM model, which had an average error of 5.29 mm and an RMSE of 5.62. …”
Get full text

Developing and comparing a new BMI inclusive energy expenditure algorithm on wrist-worn wearables by Boyang Wei, Christopher Romano, Mahdi Pedram, Bonnie Nolan, Whitney A. Morelli, Nabil Alshurafa

“…Our proposed method accurately estimated METs compared to 11 algorithms primarily validated in non-obese populations, suggesting that commercial wrist-worn devices can provide more inclusive and reliable EE measures using our algorithm.…”
Get full text