„Machine learning algorithms“

Suchergebnisse

2.828 Treffer

• The Implementation of a Machine-Learning-Based Model Utilizing Meta-heuristic Algorithms for Predicting Pile Bearing Capacity
  Cai, Liang ; Zhu, Delong ; Xu, Kang
• Modeling and prediction of tribological properties of copper/aluminum-graphite self-lubricating composites using machine learning algorithms
  Ning, Huifeng ; Chen, Faqiang ; Su, Yunfeng ; Li, Hongbin ; Fan, Hengzhong ; Song, Junjie ; Zhang, Yongsheng ; Hu, Litian
• Association between stress hyperglycemia ratio and diabetes mellitus mortality in American adults: a retrospective cohort study and predictive model establishment based on machine learning algorithms (NHANES 2009–2018)
  Yan, Fengjuan ; Zhao, Limin ; Quan, Xiaoqing ; Zhu, Jialiang
• Prediction model for spinal cord injury in spinal tuberculosis patients using multiple machine learning algorithms: a multicentric study
  Feng, Sitan ; Wang, Shujiang ; Liu, Chong ; Wu, Shaofeng ; Zhang, Bin ; Lu, Chunxian ; Huang, Chengqian ; Chen, Tianyou ; Zhou, Chenxing ; Zhu, Jichong ; Chen, Jiarui ; Xue, Jiang ; Wei, Wendi ; Zhan, Xinli
• Comparative analysis of machine learning algorithms for multi-syndrome classification of neurodegenerative syndromes
  Lampe, Leonie ; Niehaus, Sebastian ; Egger, Karl ; Schroeter, Matthias L. 2022 Universität
• Utilizing genomic signatures to gain insights into the dynamics of SARS-CoV-2 through Machine and Deep Learning techniques
  Elsherbini, Ahmed M. A. ; Elkholy, Amr Hassan ; Fadel, Youssef M. ; Goussarov, Gleb ; Elshal, Ahmed Mohamed ; El-Hadidi, Mohamed ; Mysara, Mohamed
• To Analyze the Various Machine Learning Algorithms That Can Effectively Process Large Volumes of Data and Extract Relevant Information for Personalized Travel Recommendations
  Karthiyayini, J. ; Anandhi, R. J.
• Analysis of decarbonization path in New York state and forecasting carbon emissions using different machine learning algorithms
  Ekaterina, Glukhova ; Li, Jia
• GraphKM: machine and deep learning for KM prediction of wildtype and mutant enzymes
  He, Xiao ; Yan, Ming
• A cutting-edge framework for surface roughness prediction using multiverse optimization-driven machine learning algorithms
  Mishra, Akshansh ; Jatti, Vijaykumar S.
• Uit-DGAdetector: detect domains generated by algorithms using machine learning
  Cam, Nguyen Tan ; Man, Nguyen Ngoc
• Modeling of Gaseous Reduction of Iron Oxide Pellets Using Machine Learning Algorithms, Explainable Artificial Intelligence, and Hyperparameter Optimization Techniques
  Hosseinzadeh, Masih ; Kasiri, Norollah ; Rezaei, Mehran
• Detecting Hull Fouling using Machine Learning Algorithms trained on Ship Propulsion Data to Improve Resource Management and Increase Environmental Benefits
  Petridis, Christos ; Vassilakopoulos, Michael
• Solar Power's Hidden Potential: Unveiling the Power of AI for Maximum Efficiency
  Nina 2024 tredition
• The Application of Supervised Learning Algorithms in Predicting the Formation Energy of NLO Crystals
  Wang, Ai ; Yin, Yaohui ; Sun, Zhixin ; Jin, Guangyong ; Xin, Chao
• Investigation of machine learning algorithms on heart disease through dominant feature detection and feature selection
  Türk, Fuat
• m6A-TCPred: a web server to predict tissue-conserved human m6A sites using machine learning approach
  Tu, Gang ; Wang, Xuan ; Xia, Rong ; Song, Bowen
• Fault Detection, Classification and Localization Along the Power Grid Line Using Optimized Machine Learning Algorithms
  Najafzadeh, Masoud ; Pouladi, Jaber ; Daghigh, Ali ; Beiza, Jamal ; Abedinzade, Taher
• Comparative analysis of Deep Learning and Machine Learning algorithms for emoji prediction from Arabic text
  Mokhamed, Takua ; Harous, Saad ; Hussein, Nada ; Ismail, Heba
• A triad ensemble learning framework for forecasting disengagement behaviour among employees using machine learning (ML) algorithms
  Verma, Vishal ; Shalender, Kumar