„Machine Learning Models“

Suchergebnisse

3.650 Treffer

• AHI: a hybrid machine learning model for complex industrial information systems
  Jaber, Mustafa Musa ; Ali, Mohammed Hassan ; Abd, Sura Khalil ; Jassim, Mustafa Mohammed ; Alkhayyat, Ahmed ; Kadhim, Ezzulddin Hasan ; Alkhuwaylidee, Ahmed Rashid ; Alyousif, Shahad
• A comparison of machine learning models’ accuracy in predicting lower-limb joints’ kinematics, kinetics, and muscle forces from wearable sensors
  Moghadam, Shima Mohammadi ; Yeung, Ted ; Choisne, Julie
• Machine-learning based prediction models for assessing skin irritation and corrosion potential of liquid chemicals using physicochemical properties by XGBoost
  Kang, Yeonsoo ; Kim, Myeong Gyu ; Lim, Kyung-Min
• Wind Speed Forecasting at Different Time Scales Using Time Series and Machine Learning Models
  Sheoran, Sarita ; Shukla, Sakshi ; Pasari, Sumanta ; Singh, Raj Shree ; Kulshrestha, Rakhee
• eco2AI: Carbon Emissions Tracking of Machine Learning Models as the First Step Towards Sustainable AI
  Budennyy, S. A. ; Lazarev, V. D. ; Zakharenko, N. N. ; Korovin, A. N. ; Plosskaya, O. A. ; Dimitrov, D. V. ; Akhripkin, V. S. ; Pavlov, I. V. ; Oseledets, I. V. ; Barsola, I. S. ; Egorov, I. V. ; Kosterina, A. A. ; Zhukov, L. E.
• Comparison of the radiomics-based predictive models using machine learning and nomogram for epidermal growth factor receptor mutation status and subtypes in lung adenocarcinoma
  Kawazoe, Yusuke ; Shiinoki, Takehiro ; Fujimoto, Koya ; Yuasa, Yuki ; Hirano, Tsunahiko ; Matsunaga, Kazuto ; Tanaka, Hidekazu
• Performance evaluation of machine learning models on large dataset of android applications reviews
  Qureshi, Ali Adil ; Ahmad, Maqsood ; Ullah, Saleem ; Yasir, Muhammad Naveed ; Rustam, Furqan ; Ashraf, Imran
• Data preprocessing techniques: emergence and selection towards machine learning models - a practical review using HPA dataset
  Mallikharjuna Rao, K. ; Saikrishna, Ghanta ; Supriya, Kundrapu
• Machine learning-based models for frictional pressure drop prediction of condensing and adiabatic flow in micro, mini and macro channels utilizing universal data
  Shourehdeli, Shaban Alyari ; Mobini, Kamran
• Granularity-driven trisecting-and-learning models for interval-valued rule induction
  Chen, Yingxiao ; Zhu, Ping ; Li, Qiaoyi ; Yao, Yiyu
• Comparison of four machine learning models for forecasting daily reference evaporation based on public weather forecast data
  Liang, Yunfeng ; Feng, Dongpu ; Sun, Zhaojun
• Towards urban flood susceptibility mapping using data-driven models in Berlin, Germany
  Seleem, Omar Mahmood Abdelwahab ; Ayzel, Georgy ; Costa Tomaz de Souza, Arthur ; Bronstert, Axel ; Heistermann, Maik 2023 Universität Potsdam
• Developing Machine Learning Models for Catalysts in Oxidative Dehydrogenation of n‐butane
  Tanimu, Gazali ; Olawale Ajadi, Jimoh ; Yahaya, Yussif ; Alasiri, Hassan ; Adegoke, Nurudeen A.
• Interpreting machine learning prediction of fire emissions and comparison with FireMIP process-based models
  Wang, Sally S.-C. ; Qian, Yun ; Leung, L. Ruby ; Zhang, Yang
• Interpretable machine learning prediction of fire emissions and comparison with FireMIP process-based models
  Wang, Sally S.-C. ; Qian, Yun ; Leung, L. Ruby ; Zhang, Yang
• Self-Organizing Latent Lattice Models for Temporal Gene Expression Profiling
  Byoung-Tak, Zhang ; Yang, Jinsan ; Chi, Sung Wook
• Machine learning models in clinical practice for the prediction of postoperative complications after major abdominal surgery
  Stam, Wessel T. ; Ingwersen, Erik W. ; Ali, Mahsoem ; Spijkerman, Jorik T. ; Kazemier, Geert ; Bruns, Emma R. J. ; Daams, Freek
• A Simple Method for Generating Additive Clustering Models with Limited Complexity
  Lee, Michael D.
• Bayesian Treed Models
  Chipman, Hugh A. ; George, Edward I. ; McCulloch, Robert E.
• The suitability of differentiable, physics-informed machine learning hydrologic models for ungauged regions and climate change impact assessment
  Feng, Dapeng ; Beck, Hylke ; Lawson, Kathryn ; Shen, Chaopeng