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Publication search results
found 1,234 matches
- 2024
- Omar Alghushairy, Raed Alsini, Zakhriya Alhassan, Abdulrahman A. Alshdadi, Ameen Banjar, Ayman Yafoz, Xiaogang Ma:
An Efficient Support Vector Machine Algorithm Based Network Outlier Detection System. IEEE Access 12: 24428-24441 (2024) - Manqi Wang, Hui Cao, Zeren Ai, Qi Zhang:
Fault Diagnosis of Ship Ballast Water System Based on Support Vector Machine Optimized by Improved Sparrow Search Algorithm. IEEE Access 12: 17045-17057 (2024) - Complexity:
Retracted: Stability Evaluation of Rock Slope in Hydraulic Engineering Based on Improved Support Vector Machine Algorithm. Complex. 2024: 9791605:1-9791605:1 (2024) - Mustafa Açikkar:
Fast grid search: A grid search-inspired algorithm for optimizing hyperparameters of support vector regression. Turkish J. Electr. Eng. Comput. Sci. 32(1): 68-92 (2024) - Lian Lian:
Intelligent Optimization Algorithm for Support Vector Machine: Research and Analysis of Prediction Ability. Int. J. Artif. Intell. Tools 33(1): 2350048:1-2350048:34 (2024) - Dawei Zhang, Weilin Li, Chenggang Wang, Jianhai Li:
Simulation research on breakdown diagnosis based on least squares support vector machine optimized by simulated annealing genetic algorithm. Int. J. Model. Simul. Sci. Comput. 15(1): 2350046:1-2350046:15 (2024) - Imane Euldji, Widad Benmouloud, Kamil Paduszynski, Cherif Si-Moussa, Othmane Benkortbi:
Hybrid Improved Grey Wolf Support Vector Regression Algorithm for Modeling Solubilities of APIs in Pure Ionic Liquids: σ-Profile Descriptors. J. Chem. Inf. Model. 64(4): 1361-1376 (2024) - Ritesh Khan, V. A. Kandappan, Sivaram Ambikasaran:
HODLRdD: A new black-box fast algorithm for N-body problems in d-dimensions with guaranteed error bounds: Applications to integral equations and support vector machines. J. Comput. Phys. 501: 112786 (2024) - Luis González Vilas, Evangelos Spyrakos, Yolanda Pazos, Jesus M. Torres Palenzuela:
A New Algorithm Using Support Vector Machines to Detect and Monitor Bloom-Forming Pseudo-nitzschia from OLCI Data. Remote. Sens. 16(2): 298 (2024) - Chun-Song Jiang, Xuan Chen, Bing-Yu Jiang, Gui-Qin Liang:
Hybrid genetic algorithm and support vector regression for predicting the shear capacity of recycled aggregate concrete beam. Soft Comput. 28(2): 1023-1039 (2024) - Ibrahim Emirahmetoglu, Jeffrey Hajewski, Suely Oliveira, David E. Stewart:
A Smoothing Algorithm for l1 Support Vector Machines. CoRR abs/2401.09431 (2024) - 2023
- Andrey Lange, Dmitry Smolyakov, Evgeny Burnaev:
Sequential Minimal Optimization Algorithm for One-Class Support Vector Machines With Privileged Information. IEEE Access 11: 128106-128124 (2023) - Hong Zhang, Yifan Zhang:
An Improved Sparrow Search Algorithm for Optimizing Support Vector Machines. IEEE Access 11: 8199-8206 (2023) - Jiaxin Lu, Ling Han, Lei Liu, Junfeng Wang, Zhaode Xia, Dingjian Jin, Xinlin Zha:
Lithology classification in semi-arid area combining multi-source remote sensing images using support vector machine optimized by improved particle swarm algorithm. Int. J. Appl. Earth Obs. Geoinformation 119: 103318 (2023) - Kai Huang, Xiaoguo Wang:
CCR-GSVM: A boundary data generation algorithm for support vector machine in imbalanced majority noise problem. Appl. Intell. 53(1): 1192-1204 (2023) - Pengfei Wang, Guangchun Li, Yanbin Gao:
A compensation method for gyroscope random drift based on unscented Kalman filter and support vector regression optimized by adaptive beetle antennae search algorithm. Appl. Intell. 53(4): 4350-4365 (2023) - Duong Tran Anh, Manish Pandey, Varun Narayan Mishra, Kiran Kumari Singh, Kourosh Ahmadi, Saeid Janizadeh, Thanh-Hai Tran, Nguyen Thi Thuy Linh, Nguyen Mai Dang:
Assessment of groundwater potential modeling using support vector machine optimization based on Bayesian multi-objective hyperparameter algorithm. Appl. Soft Comput. 132: 109848 (2023) - Mohit Beniwal, Archana Singh, Nand Kumar:
Forecasting long-term stock prices of global indices: A forward-validating Genetic Algorithm optimization approach for Support Vector Regression. Appl. Soft Comput. 145: 110566 (2023) - Chong Peng, Zhongyuan Che, Thunshun W. Liao, Zhongwen Zhang:
Prediction using multi-objective slime mould algorithm optimized support vector regression model. Appl. Soft Comput. 145: 110580 (2023) - Yanfeng Wang, Qing Liu, Yuli Yang, Junwei Sun, Lidong Wang, Xin Song, Xueke Zhao:
Prognostic staging of esophageal cancer based on prognosis index and cuckoo search algorithm-support vector machine. Biomed. Signal Process. Control. 79(Part): 104207 (2023) - Nan Zheng, Guoying Zhang, Yang Zhang, Fatima Rashid Sheykhahmad:
Brain tumor diagnosis based on Zernike moments and support vector machine optimized by chaotic arithmetic optimization algorithm. Biomed. Signal Process. Control. 82: 104543 (2023) - Miao Lu, Pan Gao, Huimin Li, Zhangtong Sun, Ning Yang, Jin Hu:
An optimization approach for environmental control using quantum genetic algorithm and support vector regression. Comput. Electron. Agric. 215: 108432 (2023) - S. Roselin Mary, R. Murali Prasad, R. Suguna:
A feature selection using improved dragonfly algorithm with support vector machine for breast cancer prediction. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 11(5): 2039-2049 (2023) - S. Lavanya, S. V. Annlin Jeba, P. Bhuvaneswari, Francis H. Shajin:
Support vector machine classifier optimized with seagull optimization algorithm for brain tumor classification. Concurr. Comput. Pract. Exp. 35(1) (2023) - Qi Liu, Fengde Wang, Wensheng Xiao, Junguo Cui:
Binary dynamic stochastic search algorithm with support vector regression for feature selection in low-velocity impact localization problem. Eng. Appl. Artif. Intell. 124: 106554 (2023) - Xunfeng Wu, Qiuzhen Lin, Wu Lin, Yulong Ye, Qingling Zhu, Victor C. M. Leung:
A Kriging model-based evolutionary algorithm with support vector machine for dynamic multimodal optimization. Eng. Appl. Artif. Intell. 122: 106039 (2023) - Zhi Quan, Luoxi Pu:
An improved accurate classification method for online education resources based on support vector machine (SVM): Algorithm and experiment. Educ. Inf. Technol. 28(7): 8097-8111 (2023) - Yohei Miura, Hiroomi Imamoto, Yasuhiro Asada, Masaki Sagehashi, Michihiro Akiba, Osamu Nishimura, Daisuke Sano:
Prediction of algal bloom using a combination of sparse modeling and a machine learning algorithm: Automatic relevance determination and support vector machine. Ecol. Informatics 78: 102337 (2023) - Javad Seyedmohammadi, Ali Zeinadini, Mir Naser Navidi, Richard W. McDowell:
A new robust hybrid model based on support vector machine and firefly meta-heuristic algorithm to predict pistachio yields and select effective soil variables. Ecol. Informatics 74: 102002 (2023) - Jinqiang Ma, Linchang Fan, Weijia Tian, Zhihong Miao:
Research on Data Classification Method of Optimized Support Vector Machine Based on Gray Wolf Algorithm. Int. J. Grid High Perform. Comput. 15(2): 1-14 (2023)
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