„Machine Learning Models“

Suchergebnisse

3.650 Treffer

• Interpretable machine learning for atomic scale magnetic anisotropy in quantum materials
  Navrátil, Jan ; Topolnicki, Rafał ; Otyepka, Michal ; Błoński, Piotr
• Comparison of Machine Learning Techniques for Mineral Resource Categorization in a Copper Deposit in Peru
  Cotrina-Teatino, Marco A. ; Marquina-Araujo, Jairo J. ; Riquelme, Álvaro I.
• Characterizing low femoral neck BMD in Qatar Biobank participants using machine learning models
  Al-Husaini, Nedhal ; Razali, Rozaimi ; Al-Haidose, Amal ; Al-Hamdani, Mohammed ; Abdallah, Atiyeh M.
• Praxiseinstieg Large Language Models – Strategien und Best Practices für den Einsatz von ChatGPT und anderen LLMs
  Ozdemir, Sinan ; Langenau, Frank 2024 O'Reilly
• Praxiseinstieg Large Language Models – Strategien und Best Practices für den Einsatz von ChatGPT und anderen LLMs
  Ozdemir, Sinan ; Langenau, Frank 2024 O'Reilly
• Predicting practical reduction potential of electrolyte solvents via computational hydrogen electrode and interpretable machine-learning models
  Yi, Zonglin ; Zhou, Yi ; Liu, Hao ; Li, Li ; Zhao, Yan ; Li, Jiayuan ; Mao, Yixuan ; Su, Fangyuan ; Chen, Cheng-Meng
• Concrete compressive strength classification using hybrid machine learning models and interactive GUI
  Alsaadawi, Mostafa M. ; Elshaarawy, Mohamed Kamel ; Hamed, Abdelrahman Kamal
• Application of artificial intelligence and machine learning in construction project management: a comparative study of predictive models
  Mali, Amol Shivaji ; Kolhe, Atul ; Gorde, Pravin ; Kolekar, Aniket ; Umbrajkar, Amit ; Solepatil, Sandesh ; Zare, Kirti
• Optimized regression-based machine learning models for predicting chloride diffusion in concrete
  Kechroud, Fatima ; Benzaamia, Ali ; Ghrici, Mohamed
• Comparing interpretable machine learning models for fall risk in middle-aged and older adults with and without pain
  Chen, Shangmin ; Gao, Yongshan ; Du, Lin ; Min, Mengzhen ; Xie, Lei ; Li, Liping ; Chen, Xiaodong ; Zhong, Zhigang
• The anticipation of compressive strength of geopolymer mortars with tree-based machine learning models: effect of training-testing ratios
  Cakmak, Talip ; Ustabas, İlker
• Hierarchical clustering analysis & machine learning models for diagnosing skeletal classes I and II in German patients
  Paddenberg-Schubert, Eva ; Midlej, Kareem ; Krohn, Sebastian ; Lone, Iqbal M. ; Zohud, Osayd ; Awadi, Obaida ; Masarwa, Samir ; Kirschneck, Christian ; Watted, Nezar ; Proff, Peter ; Iraqi, Fuad A.
• Performance Evaluation of Pond Ash-Enhanced Flowable Fill for Plastic Concrete Cutoff Walls in Earthen Dams Using Advanced Machine Learning Models
  Dev, K. Lini ; Kumar, Divesh Ranjan ; Wipulanusat, Warit
• Predicting Response to Transarterial Chemoembolization in Hepatocellular Carcinoma Using Machine Learning Models
  Dutta, Niharika ; Gupta, Pankaj
• Artificial intelligence – machine learning, convolutional neural networks and large language models
  Deligiannidis, Leonidas ; Dimitoglou, George ; Arabnia, Hamid ; Tafti, Ahmad 2024 De Gruyter
• Machine learning for cyber physical systems – selected papers from the International Conference ML4CPS 2017
  Beyerer, Jürgen ; Maier, Alexander ; Niggemann, Oliver 2020 Springer Vieweg
• Regression – Models, Methods and Applications
  2021 Springer Berlin Heidelberg
• Prediction models based on machine learning algorithms for COVID-19 severity risk
  Zhang, Hansong ; Wang, Ying ; Xie, Yan ; Wang, Cuihan ; Ma, Yuqi ; Jin, Xin
• Characterizing Machining Indicators with Machine Learning Models Under Cellulose Nanocrystal and Graphene-Based Nanofluid Conditions
  Kuntoğlu, Mustafa ; Binali, Rüstem ; Makhesana, Mayur
• Benchmarking machine learning models for predicting lithium ion migration
  Dembitskiy, Artem D. ; Humonen, Innokentiy S. ; Eremin, Roman A. ; Aksyonov, Dmitry A. ; Fedotov, Stanislav S. ; Budennyy, Semen A.