Search Results - best first three algorithm

Technology features of decellularization of human liver fragments as tissue-specific fine-grained matrix for cell-engineering liver construction by E. A. Nemets, L. A. Kirsanova, Ju. B. Basok, M. Ju. Schagidulin, E. A. Volkova, S. T. Metelsky, V. I. Sevastianov

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IT Diagnostics of Parkinson’s Disease Based on the Analysis of Voice Markers and Machine Learning by U. A. Vishniakou, Xia YiWei

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Individual Tree Segmentation From Airborne LiDAR Data Based on Automatic Treetop Detection and Simulated Stem-Branch Points Compensation by Qingjun Zhang, Jiale Chen, Hanwen Qi, Xu Wang, Xinlian Liang

“…Therefore, we propose a novel individual tree segmentation method based on treetop detection and point compensation. First, a center shift algorithm is proposed to detect treetop candidates, which are then refined to identify reliable treetops through geometric-feature analysis of these candidates’ neighborhoods. …”
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AI-based Assessment of Risk Factors for Coronary Heart Disease in Patients With Diabetes Mellitus and Construction of a Prediction Model for a Treatment Regimen by Zhen Gao, Qiyuan Bai, Mingyu Wei, Hao Chen, Yan Yan, Jiahao Mao, Xiangzhi Kong, Yang Yu

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Real-time path planning for Mecanum-wheeled robots with type-2 fuzzy logic controller by Thanh-Lam Bui, Duc-Quang Nguyen, Van-Truong Nguyen

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Machine learning and SHAP value interpretation for predicting the response to neoadjuvant chemotherapy and long-term clinical outcomes in Chinese female breast cancer by Quan Yuan, Rongjie Ye, Yao Qian, Hao Yu, Yuexin Zhou, Xiaoqiao Cui, Feng Liu, Ming Niu

“…This study is also the first to integrate the Advanced Lung Cancer Inflammation Index (ALI) into such a model to evaluate its effectiveness.Methods Data from 3,036 female BC patients receiving NACT at Heilongjiang Provincial Tumor Hospital (2008–2019, median follow-up 7.28 years) were analyzed. …”
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Optimal Mobile Robot Navigation in Unknown Environments using Different Optimization Techniques by Sarah H. Abdulridha, Dheyaa J. Kadhim

“…The simulation results show also the performance of EKF-SLAM trajectory is better than the performance of the Odometry trajectory and becomes best with using intelligent optimization algorithms. …”
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Typification of Projects for the Transition to Cloud Services by A. G. Voronova

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A Novel Approach for Stock Price Prediction Using Gradient Boosting Machine with Feature Engineering (GBM-wFE) by Rebwar M. Nabi, Soran Ab. M. Saeed, Habibollah Harron

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Sleep Stage Classification using Laplacian Score Feature Selection Method by Single Channel EEG by Mahtab Vaezi, Mehdi Nasri

“…Afterwards, by introducing and using the Laplacian score selector, the best feature set is selected. At the end, some conventional classification algorithms such as SVM, ANN and KNN are used to classify different sleep stages. …”
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Inversion of SPAD Values of Pear Leaves at Different Growth Stages Based on Machine Learning and Sentinel-2 Remote Sensing Data by Ning Yan, Qu Xie, Yasen Qin, Qi Wang, Sumin Lv, Xuedong Zhang, Xu Li

“…The results demonstrated that (1) both spectral reflectance and vegetation indices exhibited significant correlations with SPAD values, indicating strong retrieval potential; (2) the OIA model consistently outperformed individual algorithms, achieving the highest accuracy when using the combined feature scheme; (3) among the phenological stages, the fruit-enlargement stage yielded the best retrieval performance, with R² values of 0.740 and 0.724 for the training and validation sets, respectively. …”
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Soil Condition Classification Based on Natural Water Content Using Computer Vision Technique by Mark Miller, Yong Fang, Yubo Wang, Sergey Kharitonov, Vladimir Akulich

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Multisegment Parallel Coregistration of Sentinel-1 SAR Time-Series Images by Combining OpenMP With MPI by Yonghui Kang, Yonghong Zhang, Hong'an Wu, Jujie Wei, Xiaoxue Sun, Yue Zuo

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Optical Cryptanalysis Method Using Wavefront Shaping by Meihua Liao, Dajiang Lu, Wenqi He, Xiang Peng

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Machine learning prediction of metabolic dysfunction-associated fatty liver disease risk in American adults using body composition: explainable analysis based on SHapley Additive e... by Yan Hong, Xinrong Chen, Ling Wang, Fan Zhang, ZiYing Zeng, Weining Xie

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Utilizing machine learning and bioinformatics analysis to identify drought stress responsive genes in wheat (Triticum aestivum L.) by Jiabei He, Jiabei He, Baoyue Cui, Baoyue Cui, Pingzeng Liu, Pingzeng Liu, Xianyong Meng, Xianyong Meng, Jun Yan, Jun Yan

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Analysis of Temperature Changes, Vegetation, Evapotranspiration, and Drought Based on Modeling of Landsat 5 and 8 Satellite Imagery and Meteorological Indicators by Mitra Sadat Fathifard, Abbas Rahdan, Mahsa Tohidfar

“…Evapotranspiration was then calculated using MODIS data and the Torrent-White method, incorporating the vegetation growth coefficient, and compared with evapotranspiration values derived from the SEBAL algorithm. Additionally, drought prediction was conducted using the Standardized Precipitation Index (SPI) (1-month, 3-month, 6-month, and 12-month) for the period from 2015 to 2044. …”
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Speckle Suppression Using Cylindrical Self-Diffraction for Cylindrical Phase-Only Hologram by Feng-Ming Jin, Yang Wu, Jun Wang, Chun Chen, Chan-Juan Liu, Yu-Hen Hu

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Klasifikasi Gelembung Gas Menggunakan Multibeam Echosounder dan Machine Learning by Mochamad Rafif Rabbani, Henry Munandar Manik, Totok Hestirianoto

“…This study aims to classify gas bubbles using Multibeam Echosounder and Machine Learning and determine the best algorithm. The acquired acoustic data were first processed using FMMidwater Fledermaus software for feature extraction and depth analysis in the water column, followed by target tagging on the echogram as a visual labeling process for Machine Learning model input. …”
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MODERN CAPABILITIES OF BREAST PATHOLOGY DIAGNOSTICS by I. V. Vysotskaya, N. V. Zabolotskaya, V. P. Letyagin, K. P. Laktionov, K. A. Chubarova, N. V. Levkina

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