„Machine Learning Models“

Suchergebnisse

3.650 Treffer

• Micro-mechanical damage diagnosis methodologies based on machine learning and deep learning models
  Shamsirband, Shahab ; Mehri Khansari, Nabi
• Combining machine learning models through multiple data division methods for PM2.5 forecasting in Northern Xinjiang, China
  Ren, Miaomiao ; Sun, Wei ; Chen, Shu
• Detecting Injury Risk Factors with Algorithmic Models in Elite Women’s Pathway Cricket
  Goggins, Luke ; Warren, Anna ; Osguthorpe, David ; Peirce, Nicholas ; Wedatilake, Thamindu ; McKay, Carly ; Stokes, KeithA ; Williams, Sean
• Development of Prediction Models for Unplanned Hospital Readmission within 30 Days Based on Common Data Model: A Feasibility Study
  Ryu, Borim ; Yoo, Sooyoung ; Kim, Seok ; Choi, Jinwook
• Multitask machine learning models for predicting lipophilicity (logP) in the SAMPL7 challenge
  Lenselink, Eelke B. ; Stouten, Pieter F. W.
• Development of Machine Learning Models to Predict Probabilities and Types of Stroke at Prehospital Stage: the Japan Urgent Stroke Triage Score Using Machine Learning (JUST-ML)
  Uchida, Kazutaka ; Kouno, Junichi ; Yoshimura, Shinichi ; Kinjo, Norito ; Sakakibara, Fumihiro ; Araki, Hayato ; Morimoto, Takeshi
• Molecular insights on ABL kinase activation using tree-based machine learning models and molecular docking
  Fernandes, Philipe Oliveira ; Martins, Diego Magno ; Souza Bozzi, Aline de ; Martins, João Paulo A. ; Moraes, Adolfo Henrique de ; Maltarollo, Vinícius Gonçalves
• Machine learning models for classification tasks related to drug safety
  Rácz, Anita ; Bajusz, Dávid ; Miranda-Quintana, Ramón Alain ; Héberger, Károly
• Health Equity Insights from Machine Learning Models
  Tumin, Dmitry
• Rapid forecasting of urban flood inundation using multiple machine learning models
  Hou, Jingming ; Zhou, Nie ; Chen, Guangzhao ; Huang, Miansong ; Bai, Guangbi
• Predicting shear strength of CFS channels with slotted webs by machine learning models
  Degtyarev, Vitaliy V.
• Adaptability of machine learning methods and hydrological models to discharge simulations in data-sparse glaciated watersheds
  Ji, Huiping ; Chen, Yaning ; Fang, Gonghuan ; Li, Zhi ; Duan, Weili ; Zhang, Qifei
• Ensemble of Deep Learning Models for Sleep Apnea Detection: An Experimental Study
  Mukherjee, Debadyuti ; Dhar, Koustav ; Schwenker, Friedhelm ; Sarkar, Ram 2021 Universität Ulm
• Machine learning models for predicting the activity of AChE and BACE1 dual inhibitors for the treatment of Alzheimer’s disease
  Dhamodharan, G. ; Mohan, C. Gopi
• Interplay between Swampland and Bayesian Machine Learning in constraining cosmological models
  Elizalde, Emilio ; Khurshudyan, Martiros
• An evaluation of various data pre-processing techniques with machine learning models for water level prediction
  Tiu, Ervin Shan Khai ; Huang, Yuk Feng ; Ng, Jing Lin ; AlDahoul, Nouar ; Ahmed, Ali Najah ; Elshafie, Ahmed
• Analysis and Prediction of Adverse Reaction of Drugs with Machine Learning Models for Tracking the Severity
  Ponraj, T. Edwin ; Balan, R. V. Siva ; Vignesh, K.
• A review of models for water level forecasting based on machine learning
  Wee, Wei Joe ; Zaini, Nur’atiah Binti ; Ahmed, Ali Najah ; El-Shafie, Ahmed
• What’s in a name? – gender classification of names with character based machine learning models
  Hu, Yifan ; Hu, Changwei ; Tran, Thanh ; Kasturi, Tejaswi ; Joseph, Elizabeth ; Gillingham, Matt
• Machine learning models to estimate the elastic modulus of weathered magmatic rocks
  Ceryan, Nurcihan ; Ozkat, Erkan Caner ; Korkmaz Can, Nuray ; Ceryan, Sener