„Machine Learning Models“

Suchergebnisse

3.650 Treffer

• Machine learning-based models for FRP shear contribution of wrapped reinforced concrete beams
  Allahyarsharahi, Nazanin ; Kiani, Alireza ; Hoseini, Seyed Omid
• Predicting brain tumor presence using machine learning models
  Huang, Weiguo ; Dai, Zhenhua
• Predictive modeling for compressive strength of blended cement concrete using hybrid machine learning models
  Khan, Asad Ullah ; Asghar, Raheel ; Hassan, Najmul ; Khan, Majid ; Javed, Muhammad Faisal ; Othman, Nashwan Adnan ; Shomurotova, Shirin
• Rapid detection of carbapenem-resistant Escherichia coli and carbapenem-resistant Klebsiella pneumoniae in positive blood cultures via MALDI-TOF MS and tree-based machine learning models
  Xu, Xiaobo ; Wang, Zhaofeng ; Lu, Erjie ; Lin, Tao ; Du, Hengchao ; Li, Zhongfei ; Ma, Jiahong
• Unveiling the impact of dataset size on machine learning models for anxiety and depression prediction amid the COVID-19 pandemic: determining optimal data collection thresholds
  Arora, Priyanka ; Dahiya, Sonika
• Use of CPT and other parameters for estimating soil unit weight using optimised machine learning models
  Roy, Swaranjit ; Abir, Abrar Rahman ; Ansary, Mehedi A.
• Technology Acceptance in the Context of Digital Transformation – Studies on How and Why People Use Connected Objects
  Marz, David 2021 Cuvillier Verlag
• Systematic softening in universal machine learning interatomic potentials
  Deng, Bowen ; Choi, Yunyeong ; Zhong, Peichen ; Riebesell, Janosh ; Anand, Shashwat ; Li, Zhuohan ; Jun, KyuJung ; Persson, Kristin A. ; Ceder, Gerbrand
• Cross-border spillovers in G20 sovereign CDS markets: cluster analysis based on K-means machine learning algorithm and TVP–VAR models
  Chen, Zhizhen ; Shi, Guifen ; Sun, Boyang
• Adaptively driven X-ray diffraction guided by machine learning for autonomous phase identification
  Szymanski, Nathan J. ; Bartel, Christopher J. ; Zeng, Yan ; Diallo, Mouhamad ; Kim, Haegyeom ; Ceder, Gerbrand
• Enhancing individual glomerular filtration rate assessment: can we trust the equation? Development and validation of machine learning models to assess the trustworthiness of estimated GFR compared to measured GFR
  Lanot, Antoine ; Akesson, Anna ; Nakano, Felipe Kenji ; Vens, Celine ; Björk, Jonas ; Nyman, Ulf ; Grubb, Anders ; Sundin, Per-Ola ; Eriksen, Björn O. ; Melsom, Toralf ; Rule, Andrew D. ; Berg, Ulla ; Littmann, Karin ; Åsling-Monemi, Kajsa ; Hansson, Magnus ; Larsson, Anders ; Courbebaisse, Marie ; Dubourg, Laurence ; Couzi, Lionel ; Gaillard, Francois ; Garrouste, Cyril ; Jacquemont, Lola ; Kamar, Nassim ; Legendre, Christophe ; Rostaing, Lionel ; Ebert, Natalie ; Schaeffner, Elke ; Bökenkamp, Arend ;
• Risk factors and machine learning prediction models for intrahepatic cholestasis of pregnancy
  Ren, Yingchun ; Shan, Xiaoying ; Ding, Gengchao ; Ai, Ling ; Zhu, Weiying ; Ding, Ying ; Yu, Fuzhou ; Chen, Yun ; Wu, Beijiao
• Machine learning models for water safety enhancement
  Ranjbar, Fatemeh ; Sadeghi, Hossein ; Pourimani, Reza ; Khanmohammadi, Soraya
• Forest fire probability zonation using dNBR and machine learning models: a case study at the Similipal Biosphere Reserve (SBR), Odisha, India
  Guria, Rajkumar ; Mishra, Manoranjan ; Mohanta, Samiksha ; Paul, Suman
• Predicting compressive strength of geopolymer concrete using machine learning models
  Kurhade, Swapnil Deepak ; Patankar, Subhash
• Development and Validation of Machine Learning Models for Risk Prediction of Postpartum Stress Urinary Incontinence: A Prospective Observational Study
  Wang, Liyun ; Wang, Nana ; zhang, Minghui ; Liu, Yujia ; Sha, Kaihui
• Predicting Asthma Exacerbations Using Machine Learning Models
  Turcatel, Gianluca ; Xiao, Yi ; Caveney, Scott ; Gnacadja, Gilles ; Kim, Julie ; Molfino, Nestor A.
• Interpretable machine learning models for concrete compressive strength prediction
  Hoang, Huong-Giang Thi ; Nguyen, Thuy-Anh ; Ly, Hai-Bang
• Interpretable machine learning models for COPD ease of breathing estimation
  Kok, Thomas T. ; Morales, John ; Deschrijver, Dirk ; Blanco-Almazán, Dolores ; Groenendaal, Willemijn ; Ruttens, David ; Smeets, Christophe ; Mihajlović, Vojkan ; Ongenae, Femke ; Van Hoecke, Sofie
• Semi-supervised machine-learning classification of materials synthesis procedures
  Huo, Haoyan ; Rong, Ziqin ; Kononova, Olga ; Sun, Wenhao ; Botari, Tiago ; He, Tanjin ; Tshitoyan, Vahe ; Ceder, Gerbrand