Research on Universal Time/Length of Day Combination Algorithm Based on Effective Angular Momentum Dataset by Xishun Li, Yuanwei Wu, Dang Yao, Jia Liu, Kai Nan, Zewen Zhang, Weilong Wang, Xuchong Duan, Langming Ma, Haiyan Yang, Haihua Qiao, Xuhai Yang, Xiaohui Li, Shougang Zhang

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Rice-SVBDete: a detection algorithm for small vascular bundles in rice stem’s cross-sections by Xiaoying Zhu, Weiyu Zhou, Jianguo Li, Jianguo Li, Mingchong Yang, Mingchong Yang, Haiyu Zhou, Haiyu Zhou, Jiada Huang, Jiada Huang, Jiahua Shi, Jun Shen, Guangyao Pang, Lingqiang Wang, Lingqiang Wang, Lingqiang Wang

“…However, the detection of small vascular bundles from cross-sectional images is challenging due to their tiny size and the noisy background typically present in microscopy images.MethodsTo address these challenges, we propose Rice-SVBDete, a specialized deep learning-based detection algorithm for small vascular bundles in rice stem cross-sections. …”
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Integrated transportation system planning with gravitational search algorithm approach based on fuzzy mutant controller by Alireza Hosseinzadeh Kashani, Seyed Ahmad Shayannia, Mohammad Mehdi Movahedi, Soheila Sardar

“…</p> <ol style="text-align: left;" start="3"> <li><strong>Methodology</strong></li> </ol> <p style="text-align: left;">In this research, the goal of developing the gravitational force algorithm is to solve the problems of integrated and multi-purpose transportation systems, and in the real world, the effect of gravity on objects in a mutual way and the application of gravitational force to all objects in space is the main idea of ​​this algorithm. …”
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Quantitative Comparison of Geographical Color of Traditional Village Architectural Heritage Based on K-Means Color Clustering—A Case Study of Southeastern Hubei Province, China by Li Dong, Meiqi Kang

“…However, under the wave of contemporary rapid economic development, the color of traditional village architectural heritage is facing serious challenges. The K-means clustering algorithm has outstanding advantages in image color clustering and is suitable for the large-scale data collection of sample picture primary colors to reduce subjective bias and can be combined with the HSV color space to optimize the results. …”
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Multi-Objective Optimal Trajectory Planning for Woodworking Manipulator and Worktable Based on the INSGA-II Algorithm by Jiaping Yi, Changqing Zhang, Sihan Chen, Qinglong Dai, Hang Yu, Guang Yang, Leyuan Yu

“…The manipulator has been widely used in the wood processing industry; the main problem currently faced is optimizing the motion trajectory to enhance the processing efficiency and operational stability of the woodworking manipulator and worktable. …”
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Evolution of Algorithms and Applications for Unmanned Surface Vehicles in the Context of Small Craft: A Systematic Review by Luis Castano-Londono, Stefany del Pilar Marrugo Llorente, Edwin Paipa-Sanabria, María Belén Orozco-Lopez, David Ignacio Fuentes Montaña, Daniel Gonzalez Montoya

“…In the categories application sector, autonomy level, application area and algorithm type/task, it was identified that most studies are oriented toward the maritime sector, the developments to achieve full autonomy for USVs, the development of designs or algorithms at the modeling and simulation level, and the development and implementation of algorithms for the GNC subsystems. …”
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Machine learning algorithms to predict stroke in China based on causal inference of time series analysis by Qizhi Zheng, Ayang Zhao, Xinzhu Wang, Yanhong Bai, Zikun Wang, Xiuying Wang, Xianzhang Zeng, Guanghui Dong

“…Main Outcome(s) and Measure(s) AUC (Area Under the Curve), Accuracy, Precision, Recall, F1 Score, and Matthews Correlation Coefficient (MCC). …”
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A Multihead Attention Deep Learning Algorithm to Detect Amblyopia Using Fixation Eye Movements by Dipak P. Upadhyaya, MS, Gokce Cakir, MD, Stefano Ramat, PhD, Jeffrey Albert, PhD, Aasef Shaikh, MD, PhD, Satya S. Sahoo, PhD, Fatema Ghasia, MD

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Underwater acoustic channel estimation method based on response generative network by XU Ming, ZHANG Qi

“…The input signal of the generative network was updated by a weight and bias update algorithm based on L1-regularized least squares. Finally, to address the instability of traditional deep learning models for underwater acoustic signals, a decomposed optimization algorithm based on Bures-Wasserstein objective function was proposed. …”
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A multi-objective optimization-based ensemble neural network wind speed prediction model by Haoyuan Ma, Chang Liu, Ziyuan Qiao, Yuan Liang, Hongqing Wang

“…To optimize the hyperparameters of XGBoost, we introduce a novel algorithm named NS-ADPOA, which adopts a bi-objective optimization strategy targeting both Mean Squared Error and model complexity. …”
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Peculiarities of the algorithm of diagnostics of oral mucosa pathology in patients with Crohn’s disease and nonspecific ulcerative colitis by I. N. Usmanova, R. D. Yunusova, I. А. Lakman, L. P. Gerasimova, A. N. Ishmukhametova, A. P. Akopyan, G. F. Amineva, N. А. Makarova, E. Yu. Startseva

“…To evaluate the developed diagnostic algorithm for oral mucosal pathology in patients with CD and UC.MATERIALS AND METHODS. …”
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Low-Power Intelligent Wireless Sensor Network for Precision Agriculture Oriented Agricultural Greenhouse Management System by Hongguo Jin

“…The results showed that when the number of iterations reached 100, the clustering accuracy was as high as 94%, and the mean square error was the lowest 0.018, while when the number of iterations was 20, the mean square error was also maintained at 0.018. …”
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IMPROVING THE ACCURACY OF DETERMINING DEVIANT GROUPS IN THE SELECTION AND MONITORING OF THE CRITICAL INFORMATION INFRASTRUCTURE ENTERPRISES STAFF by Vladimir L. Evseev, Anton S. Burakov, Anatoly V. Marchenko

Subjects: “…security of critical information infrastructure enterprises, digital profile, behavioral features, cluster analysis, k-means method, iterative algorithm, deviation, centroid initialization, average intra-cluster distance, heat map.…”
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Improved Quantum Artificial Bee Colony Algorithm-Optimized Artificial Intelligence Models for Suspended Sediment Load Predicting by Peng Wei, Wang Yu

“…This study proposes a quantum bee colony algorithm based on Boltzmann&#x2019;s selection and dimensional dynamic update strategy (BDQABC). …”
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Evaluation of the performance of Satellite photographs Corona , Hexagon and Aster images in preparing the map of the boundary and coastline of zaribar Lake and extracting the amoun... by Hedayat Sheikh Ghaderi, abdulsalam ‪aminpour, Parviz Ziaeian Firoozabadi

“…In this study, to geometric correction the corona and hexagon data from Google Earth images, linear extraction algorithms, binary mask and mean shift segmentation were used to extract the coastline and lake boundary, detect lake changes and extract and monitor the water area of ​​Zaribar Lake. …”
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Experimental study on the piezoelectric active vibration reduction system of wind tunnel aerodynamic models by LI Weiguang, YANG Zhichun, ZHU Ximing

“…To effectively suppress the flow-induced vibration response of wind tunnel models, a hybrid control algorithm combining the filtered-x least mean square (FxLMS) algorithm and the linear active disturbance rejection control (LADRC) controller is proposed. …”
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Using Relational Biology with Loop Analysis to Study the North Atlantic Biological Carbon Pump in a ‘Hybrid’ Non-Algorithmic Manner by Patricia A. Lane

“…There has been general agreement that the impredicative, self-referential, and complex nature of living systems negates an algorithmic approach. Rosen’s main goal was to answer, “What is Life?”. …”
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Intelligent Modeling and Experimental Investigation of the Collar's Impact on Reducing Scour around the Spur Dike by Hojat Karami, Alireza Rezaei, Amin Atarodi

“…The present study seeks to evaluate the application of the Cuckoo search (CS) algorithm and Bat algorithm (BA) to improve the performance of the Support Vector Regression (SVR) model in predicting the amount of R. …”
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Comparative Study of Adaptive Signal Decomposition Methods and Their Applications in Locomotive Rolling Element Bearing Fault Diagnosis by WEI Yongzhao, ZHAO Mingyuan, YANG Jiangtian

“…Aiming at the problems of the local mean decomposition, an improved decomposition algorithm was proposed. …”
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Explainable data mining model for hyperinsulinemia diagnostics by Nevena Rankovic, Dragica Rankovic, Mirjana Ivanovic, Igor Lukic

“…Experimental results showed that combining FPCA with K-Means clustering enhances the accuracy of the XGBoost classifier, with this model achieving an accuracy score of 0.99.…”
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