„Machine Learning Models“

Suchergebnisse

3.650 Treffer

• Machine learning models for forecasting water demand for the Metropolitan Region of Salvador, Bahia
  Santos de Jesus, Edmilson dos ; Silva Gomes, Gecynalda Soares da
• Accelerating models for multiphase chemical kinetics through machine learning with polynomial chaos expansion and neural networks
  Berkemeier, Thomas ; Krüger, Matteo ; Feinberg, Aryeh ; Müller, Marcel ; Pöschl, Ulrich ; Krieger, Ulrich Karl
• Fault diagnosis of actuator damage in UAVs using embedded recorded data and stacked machine learning models
  Al-Haddad, Luttfi A. ; Jaber, Alaa Abdulhady ; Al-Haddad, Sinan A. ; Al-Muslim, Yousif M.
• Machine learning models for damage detection in steel beams
  Harsha, Shree ; Hanumanthappa, Siddesha ; Marulasiddappa, Sreedhara B. ; Naganna, Sujay Raghavendra
• Applied machine learning-based models for predicting the geomechanical parameters using logging data
  Sanei, Manouchehr ; Ramezanzadeh, Ahmad ; Delavar, Mohammad Reza
• Design and implementation of machine learning models to classify and mitigate muras of a micro-LED display
  Lee, Yi-Chang ; Hsu, Jen-Yi ; Chao, Paul C.-P
• Development and comparison of machine learning-based models for predicting heart failure after acute myocardial infarction
  Li, Xuewen ; Shang, Chengming ; Xu, Changyan ; Wang, Yiting ; Xu, Jiancheng ; Zhou, Qi
• Can machine learning models predict prolonged length of hospital stay following primary total knee arthroplasty based on a national patient cohort data?
  Chen, Tony Lin-Wei ; Buddhiraju, Anirudh ; Seo, Henry Hojoon ; Shimizu, Michelle Riyo ; Bacevich, Blake M. ; Kwon, Young-Min
• A Comparative Analysis of Machine Learning Models for Predicting Loess Collapse Potential
  Motameni, Sahand ; Rostami, Fateme ; Farzai, Sara ; Soroush, Abbas
• A Novel Scheme for Mapping of MVT-Type Pb–Zn Prospectivity: LightGBM, a Highly Efficient Gradient Boosting Decision Tree Machine Learning Algorithm
  Hajihosseinlou, Mahsa ; Maghsoudi, Abbas ; Ghezelbash, Reza
• Recent Advances in Machine Learning-Based Models for Prediction of Antiviral Peptides
  Ali, Farman ; Kumar, Harish ; Alghamdi, Wajdi ; Kateb, Faris A. ; Alarfaj, Fawaz Khaled
• Comparisons of the prediction models for undiagnosed diabetes between machine learning versus traditional statistical methods
  Choi, Seong Gyu ; Oh, Minsuk ; Park, Dong–Hyuk ; Lee, Byeongchan ; Lee, Yong-ho ; Jee, Sun Ha ; Jeon, Justin Y.
• Development and validation of machine learning models for the prediction of SH-2 containing protein tyrosine phosphatase 2 inhibitors
  Adhikari, Nilanjan ; Ayyannan, Senthil Raja
• A new large-scale learning algorithm for generalized additive models
  Gu, Bin ; Zhang, Chenkang ; Huo, Zhouyuan ; Huang, Heng
• Considerations when learning additive explanations for black-box models
  Tan, Sarah ; Hooker, Giles ; Koch, Paul ; Gordo, Albert ; Caruana, Rich
• Interpreting machine-learning models in transformed feature space with an application to remote-sensing classification
  Brenning, Alexander
• Machine learning and statistical models for analyzing multilevel patent data
  Qi, Sunyun ; Zhang, Yu ; Gu, Hua ; Zhu, Fei ; Gao, Meiying ; Liang, Hongxiao ; Zhang, Qifeng ; Gao, Yanchao
• On‐Line Monitoring Device for Gas Phase Composition Based on Machine Learning Models and Its Application in the Gas Phase Copolymerization of Olefins
  Huang, Xu ; Zheng, Shaojie ; Yao, Zhen ; Li, Bogeng ; Yuan, Wenbo ; Ding, Qiwei ; Wang, Zong ; Hu, Jijiang
• Comparative analysis of machine learning models for solar flare prediction
  Zheng, Yanfang ; Qin, Weishu ; Li, Xuebao ; Ling, Yi ; Huang, Xusheng ; Li, Xuefeng ; Yan, Pengchao ; Yan, Shuainan ; Lou, Hengrui
• Federated mutual learning: a collaborative machine learning method for heterogeneous data, models, and objectives
  Shen, Tao ; Zhang, Jie ; Jia, Xinkang ; Zhang, Fengda ; Lv, Zheqi ; Kuang, Kun ; Wu, Chao ; Wu, Fei