A Comprehensive Overview of Single-Source and Dual-Source Energy Balance Algorithms ‎for Estimating Actual Evapotranspiration by Maryam Rezaei

“…The goal of the present research is to introduce and compare several evapotranspiration estimation methods, including Surface Energy Balance Algorithm for Land (SEBAL) model, Mapping EvapoTranspiration at high Resolution with Internalized Calibration (METRIC) model, Surface Energy Balance System (SEBS) model, Simpled Surface Energy Balance Index (S-SEBI) model, Operational Simplified Surface Energy Balance (SSEBop) model— Two- Source (soil + canopy) (TSM) model and Two-Source Time Integrated (TSTIM) model. …”
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Three-Dimensional Path Planning for Unmanned Aerial Vehicles Based on Hybrid Multi-Strategy Dung Beetle Optimization Algorithm by Hongmei Fei, Ruru Liu, Leilei Dong, Zhaohui Du, Xuening Liu, Tao Luo, Jie Zhou

“…To validate the effectiveness of HMSDBO, this study compares its performance with that of the Adaptive Chaotic Gray Wolf Optimization Algorithm (ACGWO), Primitive Dung Beetle Optimization Algorithm (DBO), Whale Optimization Algorithm (WOA), Crayfish Optimization Algorithm (COA), and Hyper-Heuristic Whale Optimization Algorithm (HHWOA) in complex agricultural UAV environments. …”
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DFPS: An Efficient Downsampling Algorithm Designed for the Global Feature Preservation of Large-Scale Point Cloud Data by Jiahui Dong, Maoyi Tian, Jiayong Yu, Guoyu Li, Yunfei Wang, Yuxin Su

“…This paper introduces an efficient 3D point cloud downsampling algorithm (DFPS) based on adaptive multi-level grid partitioning. …”
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Time delay estimation algorithm of narrow band internet of things based on inter-cell interference cancellation by Hong TANG, Hongyan MOU, Haolan YANG

“…Aiming at the characteristics of NB-IoT such as low power consumption,low cost and low sampling rate,an NB-IoT delay estimation algorithm based on inter-cell interference cancellation was proposed.To gradually eliminate the interaction between signals in each cell,an inter-cell iterative interference cancellation algorithm was considered.In each iteration,the idea of time-frequency cross-correlation overlapping was introduced on the basis of traditional correlation algorithms to break through the limitations of the sampling rate and further improve the accuracy of time delay estimation.At the same time,a first-arrival-path (FAP) searching algorithm based on noise threshold was used to suppress multipath effects.Through experimental simulation,the results show that the proposed algorithm can significantly improve the time delay estimation accuracy of NB-IoT on the basis of related algorithms.…”
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A fuzzy track-to-track association algorithm with dynamic time warping for trajectory-level vehicle detection by Siqi Wan, Huaqiao Mu, Ke Han, Taesu Cheong, Chi Xie

“…Experimental results demonstrated the advantage of the proposed algorithm in various TTTA scenarios, especially its robustness in intricate trajectory situations. …”
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A DCT Regularized Matrix Completion Algorithm for Energy Efficient Data Gathering in Wireless Sensor Networks by Kefu Yi, Jiangwen Wan, Tianyue Bao, Lei Yao

“…Experimental results show that the proposed algorithm outperforms state-of-the-art methods for low sampling rate and achieves a good recovery accuracy even if the sampling rate is very low.…”
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Optimizing machine learning algorithms for diabetes data: A metaheuristic approach to balancing and tuning classifiers parameters by Hauwau Abdulrahman Aliyu, Ibrahim Olawale Muritala, Habeeb Bello-Salau, Salisu Mohammed, Adeiza James Onumanyi, Ore-Ofe Ajayi

“…Leveraging Particle Swarm Optimization (PSO) algorithm for diabetes data balancing and a genetic algorithm to select the optimal architecture for various machine learning classifiers. …”
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Enhanced multivariate data fusion and optimized algorithm for comprehensive quality profiling and origin traceability of Chinese jujube by Peng Chen, Xiaoli Wang, Rao Fu, Xiaoyan Xiao, Yu Li, Tulin Lu, Tao Wang, Qiaosheng Guo, Peina Zhou, Chenghao Fei

“…By employing multivariate statistical methods, 46 trait characteristic factors (VIP > 1, P < 0.05) were identified and utilized to rapidly differentiate jujube samples originating from different regions. The multivariate statistical analysis and support vector machine (SVM) classification were also combined to develop a novel artificial intelligence algorithm. …”
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Use of Machine Learning Algorithms to Predict Almen (Shot Peening) Intensity Values of Various Steel Materials by Murat İnce, Hatice Varol Özkavak

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Rapid identification of the authenticity of iron rod yam by in-situ mass spectrometry based on random forest algorithm by ZHONG Hengyan, CHEN Chun, OUYANG Yongzhong, ZHOU Lin, GUO Weiqing

“…Subsequently, the initial level of the mass spectrometry data obtained was analyzed using Principal Component Analysis (PCA) and the random forest (RF) algorithm. Pattern recognition analysis established a model to differentiate between TG and FTG based on their chemical compositions.ResultsThe difference between the first-level mass spectra obtained by HS-APCI-MS was obvious between TG samples and FTG samples. …”
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A Novel Dataset and Detection Method for Unmanned Aerial Vehicles Using an Improved YOLOv9 Algorithm by Depeng Gao, Jianlin Tang, Hongqi Li, Bingshu Wang, Jianlin Qiu, Shuxi Chen, Xiangxiang Mei

“…Furthermore, we propose an anti-interference UAV detection method based on YOLOv9-C in which the dot distance is used as an evaluation index to assign positive and negative samples. This results in an increased number of positive samples, improving detector performance in the case of small targets. …”
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Monte Carlo Algorithm For Matrices in Solving Systems of Linear Equations, Determinants, Inverse, Eigen Values, and Eigenvectors. by Bamwine, Delik

“…Future research should focus on enhancing sampling efficiency in matrix-vector products along MCGMRES iterations and implementing the RSVD algorithm on big data analysis platforms.…”
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Application of M5 algorithm of decision tree in simulation and investigation of effective factors of erosion in rangelands and forests by Hatem Ghaleb Maabreh, Khlood Waheeb, Abrar Ryadh, Saja Basheer Abdulghani, Zainab Jamal Hamoodah, Nisreen Yasir Jasim, Fakhri Alajeeli, Ali H. O. Al Mansor, Mikhail Andreevich

“…The aim of this paper was to identify the factors affecting interrill erosion using the M5 algorithm of decision tree in four different regions. …”
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Canola Yield Estimation Using Remotely Sensed Images and M5P Model Tree Algorithm by Ileana De los Ángeles Fallas Calderón, Muditha K. Heenkenda, Tarlok S. Sahota, Laura Segura Serrano

“…Canola yield was estimated using selected vegetation indices derived from images, the percent cover of flowers, and the M5P Model Tree algorithm. Field samples were used to calibrate and validate prediction models. …”
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Evaluation of multi-assay algorithms for identifying individuals with recent HIV infection: HPTN 071 (PopART). by Wendy Grant-McAuley, Ethan Klock, Oliver Laeyendecker, Estelle Piwowar-Manning, Ethan Wilson, William Clarke, Autumn Breaud, Ayana Moore, Helen Ayles, Barry Kosloff, Kwame Shanaube, Peter Bock, Nomtha Mandla, Anneen van Deventer, Sarah Fidler, Deborah Donnell, Richard Hayes, Susan H Eshleman, HPTN 071 (PopART) Study Team

“…<h4>Background</h4>Assays and multi-assay algorithms (MAAs) have been developed for population-level cross-sectional HIV incidence estimation. …”
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Identifying Diagnostic Biomarkers for Electroacupuncture Treatment of Rheumatoid Arthritis Using Bioinformatic Analysis and Machine Learning Algorithms by Sun Y, Dong G, Gao H, Yao Y, Yang H

“…This study aimed to identify potential diagnostic biomarkers for RA and elucidated the molecular targets of EA by using bioinformatics analysis and machine learning algorithms in peripheral blood samples.Methods: We obtained datasets from the Gene Expression Omnibus(GEO) database containing samples from RA patients (GSE15573) and from RA patients after EA treatment (GSE59526) for bioinformatics analysis. …”
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Identification of potential biomarkers and mechanisms for keloid disorder based on comprehensive bioinformatics analysis and machine learning algorithms by Bowen Zheng, Jianxiong Qiao, Xiaoping Yu, Hanghang Zhou, Anqi Wang, Xuanfen Zhang

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Dehazing algorithm for coal mining face dust and fog images based on a semi-supervised network by Meng ZHAO, Yuzhong WEI, Zheng LI, Junming ZHANG, Junda CHEN, Xiaofeng LIU

“…To validate the effectiveness of the proposed algorithm, four algorithms were selected for comparison. …”
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Multi-Antenna GNSS–Accelerometer Fusion Attitude Correction Algorithm for Offshore Floating Platform Displacement Monitoring by Xingguo Gao, Junyi Jiang, Guoyu Xu, Zengliang Chang, Jichao Yang

“…The algorithm was validated on a physical simulation platform and a real offshore floating platform. …”
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CP-QRRT*: A Path Planning Algorithm for Hyper-Redundant Manipulators Considering Joint Angle Constraints by Tianya Wang, Guoliang Ma, Lisong Xu, Rui Yu

“…First, the PSO algorithm is introduced to optimize the random sampling process of the RRT series algorithms, enhancing the directionality of the random tree expansion. …”
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