„Machine Learning Models“

Suchergebnisse

3.650 Treffer

• Enhancing chlorophyll-a predictions using optimal machine learning models and field spectral reflectance
  Allam, Mona ; Zhang, Lifu ; Sun, Xuejian ; Kisi, Ozgur ; Kushwaha, Nand Lal ; Yongxin, Liu ; Menenti, Massimo ; Heddam, Salim
• Machine learning models for estimating the overall oil recovery of waterflooding operations in heterogenous reservoirs
  Gomaa, Sayed ; Soliman, Ahmed Ashraf ; Mansour, Mohamed ; El Salamony, Fares Ashraf ; Salem, Khalaf G.
• PathInHydro, a Set of Machine Learning Models to Identify Unbinding Pathways of Gas Molecules in [NiFe] Hydrogenases
  Sohraby, Farzin ; Guo, Jing-Yao ; Nunes-Alves, Ariane 2025 Technische Universität Berlin
• evalPM – a framework for evaluating machine learning models for particulate matter prediction
  Woltmann, Lucas ; Deepe, Jonas ; Hartmann, Claudio ; Lehner, Wolfgang 2025 Technische Universität Dresden
• Models, Markets, and Artificial Intelligence – A Brief History of our Speculative Present
  Halpern, Orit 2025 ICI Berlin Press
• Predicting tilling and seeding operation times in grain production: a comparison of machine learning and mechanistic models
  Scheurer, Luca ; Zimpel, Tobias ; Leukel, Jörg 2025 Universität Hohenheim
• Introduction to Foundation Models
  Chen, Pin-Yu ; Liu, Sijia 2025 Springer Nature Switzerland, Imprint: Springer
• Discussion on Assessing Predictability of Environmental Time Series With Statistical and Machine Learning Models
  Steland, Ansgar 2025 Universitätsbibliothek der RWTH Aachen
• Forecasting Plastic Waste Fractions: A Recycling Perspective
  Becker, Jakob ; Kempkes, Philipp ; Mielke, Konrad ; Fendel, Ansgar ; Bommert, Andrea ; Pauly, Markus 2025 Gottfried Wilhelm Leibniz Universität Hannover
• Proceedings of the Third International Conference on Cognitive and Intelligent Computing, Volume 2 – ICCIC 2023, 8-9 December, Hyderabad, India
  Kumar, Amit ; Ghinea, Gheorghita ; Merugu, Suresh 2025 Springer Nature Singapore, Imprint: Springer
• Determining the Importance of Lifestyle Risk Factors in Predicting Binge Eating Disorder After Bariatric Surgery Using Machine Learning Models and Lifestyle Scores
  Mousavi, Maryam ; Tabesh, Mastaneh Rajabian ; Moghadami, Seyyedeh Mahila ; Saidpour, Atoosa ; Jahromi, Soodeh Razeghi
• Advances in cardiovascular signal analysis with future directions: a review of machine learning and deep learning models for cardiovascular disease classification based on ECG, PCG, and PPG signals
  Fuadah, Yunendah Nur ; Lim, Ki Moo
• A machine learning model with minimize feature parameters for multi-type hydrogen evolution catalyst prediction
  Wang, Chao ; Wang, Bing ; Wang, Changhao ; Li, Aojian ; Chang, Zhipeng ; Wang, Ruzhi
• Elevating educational insights: sentiment analysis of faculty feedback using advanced machine learning models
  Deshpande, Sudhindra B. ; Tangod, Kiran K. ; Srinivasaiah, Sowmyashree H. ; Alahmadi, Ahmad Aziz ; Alwetaishi, Mamdooh ; Ong Michael, Goh Kah ; Rajendran, Silambarasan
• Machine Learning Using R
  Ramasubramanian, Karthik ; Singh, Abhishek 2017 Apress
• Advancing organic photovoltaic materials by machine learning-driven design with polymer-unit fingerprints
  Liu, Xiumin ; Zhang, Xinyue ; Sheng, Ye ; Zhang, Zihe ; Xiong, Pan ; Ju, Xuehai ; Zhu, Junwu ; Ye, Caichao
• Slope stability prediction of circular mode failure by machine learning models based on Bayesian Optimizer
  Kadkhodaei, Mohammad Hossein ; Ghasemi, Ebrahim ; Fazel, Mohammad Hossein
• Comparison of machine learning models with conventional statistical methods for prediction of percutaneous coronary intervention outcomes: a systematic review and meta-analysis
  Nayebirad, Sepehr ; Hassanzadeh, Ali ; Vahdani, Amir Mohammad ; Mohamadi, Aida ; Forghani, Shayan ; Shafiee, Akbar ; Masoudkabir, Farzad
• Probing Collectivity in String Models via Machine Learning
  Andronov, E.
• Interpretable multimodal machine learning analysis of X-ray absorption near-edge spectra and pair distribution functions
  Na Narong, Tanaporn ; Zachko, Zoe N. ; Torrisi, Steven B. ; Billinge, Simon J. L.