„Machine Learning Models“

Suchergebnisse

3.650 Treffer

• Machine learning models for the prediction of hydrogen solubility in aqueous systems
  Maleki, Mehdi ; Akbari, Ali ; Kazemzadeh, Yousef ; Ranjbar, Ali
• Advanced machine learning models for the prediction of ceramic tiles’ properties during the firing stage
  Vasić, Milica V. ; Awoyera, Paul O. ; Fadugba, Olaolu George ; Barišić, Ivana ; Grubeša, Ivanka Netinger
• Development of generic AI models to predict the movement of vehicles on bridges
  Ramasetti, Eshwar Kumar ; Herrmann, Ralf ; Degener, Sebastian ; Baeßler, Matthias 2024 Bundesanstalt für Materialforschung und -prüfung (BAM)
• Automated generation of structure datasets for machine learning potentials and alloys
  Poul, Marvin ; Huber, Liam ; Neugebauer, Jörg
• Resilience-based Machine Learning Models for Restoring Interdependent Infrastructure Networks: Nodes Assessment Strategy for Post-Disruption Restoration
  Karrar, Qusai ; Almoghathawi, Yasser ; Saleh, Haitham ; Alghazi, Anas
• Geometrical Characterization of Multiscale Pore Structures in Reservoir Rocks Using Machine Learning on Images
  Jibrin, Abdullahi ; Liu, Xin ; He, Xupeng ; Zhu, Xingyu ; Jin, Gudong ; Kwak, Hyung ; Wang, Yuzhu
• Comparative study of different wavelet-machine learning models for agricultural drought prediction
  Singh, Ayush ; Saranya Das, K. ; Vijay, Athira ; Nath, Akhil R. ; Chithra, N. R.
• A comparative analysis of parametric survival models and machine learning methods in breast cancer prognosis
  Kaindal, Sonia ; Venkataramana, B.
• Ultrasonic-Assisted Micro-Milling in Cortical Bone Cutting: Force and Temperature Prediction by Machine Learning Models on Experimental Results
  Tahmasbi, Vahid ; Rabiee, Amir Hossein ; Baraheni, Mohammad
• Survival prediction models for people living with HIV based on four machine learning models
  Cai, Qiong ; Yang, Lanting ; Ling, Yulong ; Pan, Wei ; Zhong, Qing ; Wang, Chunjie ; Pan, Xilong
• Transferable dispersion-aware machine learning interatomic potentials for multilayer transition metal dichalcogenide heterostructures
  Shaidu, Yusuf ; Naik, Mit H. ; Louie, Steven G. ; Neaton, Jeffrey B.
• Latest Developments in Artificial Intelligence and Machine Learning Models in General Pediatric Surgery
  Elsayed, Hesham ; Singer, Georg ; Till, Tristan ; Till, Holger
• Classifying thermodynamic cloud phase using machine learning models
  Goldberger, Lexie ; Levin, Maxwell ; Harris, Carlandra ; Geiss, Andrew ; Shupe, Matthew ; Zhang, Damao
• Forecasting Spanish Olive Oil Prices Using Machine Learning: A Comprehensive Analysis of Contributing Factors and Model Performance
  Keffala, Mohamed Rochdi ; Mahjoub, Safoua
• Developing new machine-learning intelligent models to predict the excavation-tunnel displacements
  Tabaroei, Abdollah ; Jasim, Muhand Jawad ; Al-Araji, Ali Mohammed ; Vakili, Amir Hossein
• Machine learning models for accurately predicting properties of CsPbCl3 Perovskite quantum dots
  Çadırcı, Mehmet Sıddık ; Çadırcı, Musa
• High-throughput materials exploration system for the anomalous Hall effect using combinatorial experiments and machine learning
  Toyama, Ryo ; Iwasaki, Yuma ; Kulkarni, Prabhanjan D. ; Suto, Hirofumi ; Nakatani, Tomoya ; Sakuraba, Yuya
• Prediction and simulation of PEEP setting effects with machine learning models
  Händel, Claas ; Frerichs, Inéz ; Weiler, Norbert ; Bergh, Björn Axel 2024 Universitätsbibliothek Kiel
• Capturing short-range order in high-entropy alloys with machine learning potentials
  Cao, Yifan ; Sheriff, Killian ; Freitas, Rodrigo
• A development of machine learning models to preoperatively predict insufficient clinical improvement after total knee arthroplasty
  Gimm, Geunwu ; Jeon, Byoungjun ; Kim, Sung Eun ; Kim, Byeong Soo ; Han, Hyuk-Soo ; Kim, Sungwan