„Machine Learning Models“

Suchergebnisse

3.650 Treffer

• Enhancing prediction and stratifying risk: machine learning and bayesian-learning models for catheter-related thrombosis in chemotherapy patients
  An, Tao ; Han, Han ; Xie, Junying ; Wang, Yifan ; Zhao, Yiqi ; Jia, Hao ; Wang, Yanfeng
• Transfer learning with pre-trained conditional generative models
  Yamaguchi, Shin’ya ; Kanai, Sekitoshi ; Kumagai, Atsutoshi ; Chijiwa, Daiki ; Kashima, Hisashi
• Development and validation of inpatient mortality prediction models for patients with hyperglycemic crisis using machine learning approaches
  He, Rui ; Zhang, Kebiao ; Li, Hong ; Gu, Manping
• Personalized learning path planning for higher education based on deep generative models and quantum machine learning: a multimodal learning analysis method integrating transformer, adversarial training and quantum state classification
  Sun, Changzhi ; Huang, Shijie ; Sun, Banghui ; Chu, Shiwei
• Latent Ewald summation for machine learning of long-range interactions
  Cheng, Bingqing
• Machine learning based prediction models for the compressive strength of high-volume fly ash concrete reinforced with silica fume
  Kumar, Anish ; Sen, Sameer ; Sinha, Sanjeev
• A comparative paradigm of sequential mediation models of influencers’ credibility using PLS-SEM with machine learning
  Sharkasi, Nora ; Rezakhah, Saeid ; Agag, Gomaa
• Prediction of compressive strength of concrete doped with waste plastic using machine learning-based advanced regularized regression models
  Kumar, Anish ; Sen, Sameer ; Sinha, Sanjeev ; Kumar, Bimal ; Nidhi, Chaitanya
• Predicting pregnancy at the first year following metabolic-bariatric surgery: development and validation of machine learning models
  Moradi, Raheleh ; Kashanian, Maryam ; Yarigholi, Fahime ; Pazouki, Abdolreza ; Sheikhtaheri, Abbas
• Improving machine learning models through explainable AI for predicting the level of dietary diversity among Ethiopian preschool children
  Setegn, Gizachew Mulu ; Dejene, Belayneh Endalamaw
• Comparative analysis of machine learning models for daily suspended sediment concentration prediction in environmental monitoring
  Jarbais, Goldi ; Harshavardhanan, Pon
• Advancing preeclampsia prediction: a tailored machine learning pipeline integrating resampling and ensemble models for handling imbalanced medical data
  Ma, Yinyao ; Lv, Hanlin ; Ma, Yanhua ; Wang, Xiao ; Lv, Longting ; Liang, Xuxia ; Wang, Lei
• Integrating sentinel-2 and sentinel-3 for actual evapotranspiration estimation across diverse climate zones using the sen-ET plugin and machine learning models
  Amani, Shima ; Shafizadeh-Moghadam, Hossein ; Morid, Saeed
• Identification of Air Pollutants with Thermally Modulated Metal Oxide Semiconductor Gas Sensors through Machine Learning Based Response Models
  Isaev, I. V. ; Chernov, K. N. ; Sagitova, A. S. ; Krivetskiy, V. V. ; Dolenko, S. A.
• Predicting power consumption of drones using explainable optimized mathematical and machine learning models
  El-Latif, Eman I. Abd ; El-dosuky, Mohamed
• Ensemble machine learning models for predicting concrete compressive strength incorporating various sand types
  Tipu, Rupesh Kumar ; Bansal, Shweta ; Batra, Vandna ; Suman ; Patel, Gaurang A.
• Optimizing heart disease diagnosis with advanced machine learning models: a comparison of predictive performance
  Teja, M Darshan ; Rayalu, G Mokesh
• Network-based predictive models for artificial intelligence: an interpretable application of machine learning techniques in the assessment of depression in stroke patients
  Zuo, Wenwei ; Yang, Xuelian
• Enhancing electricity theft detection with ADASYN-enhanced machine learning models
  Saqib, Sheikh Muhammad ; Mazhar, Tehseen ; Iqbal, Muhammad ; Shahazad, Tariq ; Almogren, Ahmad ; Rehman, Ateeq Ur ; Hamam, Habib
• Comprehensive Evaluation of Satellite-Based Rainfall Measurements Through Rain Gauge Validation Using Advanced Statistical Regression and Machine Learning Models by Using Python
  Sumith, K V.