„Machine Learning Models“

Suchergebnisse

3.650 Treffer

• Improving Molecular‐Dynamics Simulations for Solid–Liquid Interfaces with Machine‐Learning Interatomic Potentials
  Hou, Pengfei ; Tian, Yumiao ; Meng, Xing
• Comparing the performance of machine learning models for predicting the compressive strength of concrete
  Loureiro, Arthur Afonso Bitencourt ; Stefani, Ricardo
• A systematic review of machine learning models for management, prediction and classification of ARDS
  Tran, Tu K. ; Tran, Minh C. ; Joseph, Arun ; Phan, Phi A. ; Grau, Vicente ; Farmery, Andrew D.
• Exploring the impact of land use/land cover changes on the dynamics of Deepor wetland (a Ramsar site) in Assam, India using geospatial techniques and machine learning models
  Saha, Tamal Kanti ; Sajjad, Haroon ; Roshani ; Rahaman, Md Hibjur ; Sharma, Yatendra
• Integrating Machine Learning Models with Comprehensive Data Strategies and Optimization Techniques to Enhance Flood Prediction Accuracy: A Review
  Akinsoji, Adisa Hammed ; Adelodun, Bashir ; Adeyi, Qudus ; Salau, Rahmon Abiodun ; Odey, Golden ; Choi, Kyung Sook
• A novel machine learning approach for interpolating seismic velocity and electrical resistivity models for early-stage soil-rock assessment
  Dick, Mbuotidem David ; Bery, Andy Anderson ; Okonna, Nsidibe Ndarake ; Ekanem, Kufre Richard ; Bashir, Yasir ; Akingboye, Adedibu Sunny
• Exploring the Core-shell Structure of BaTiO3-based Dielectric Ceramics Using Machine Learning Models and Interpretability Analysis
  Sun, Jiale ; Xiong, Peifeng ; Hao, Hua ; Liu, Hanxing
• Optimization of Cascade Aeration Characteristics and Predicting Aeration Efficiency with Machine Learning Model in Multistage Filtration
  Saha, Nilanjan ; Heim, Ronjon ; Mazumdar, Asis ; Banerjee, Gourab ; Sarkar, Oushnik
• Optimizing PGRs for in vitro shoot proliferation of pomegranate with bayesian-tuned ensemble stacking regression and NSGA-II: a comparative evaluation of machine learning models
  Zarbakhsh, Saeedeh ; Shahsavar, Ali Reza ; Soltani, Mohammad
• Enhancing Gene Expression Classification Through Explainable Machine Learning Models
  Do, Thanh-Nghi
• Machine Learning for Modeling Soil Organic Carbon as Affected by Land Cover Change in the Nebraska Sandhills, USA
  Li, Lidong ; Liang, Wanwan ; Awada, Tala ; Hiller, Jeremy ; Kaiser, Michael
• Machine Learning-Based Attack Detection for Wireless Sensor Network Security Using Hidden Markov Models
  Affane M., Anselme R. ; Satori, Hassan ; Boutazart, Youssef ; Ezzine, Abderahim ; Satori, Khalid
• Enhanced machine learning models development for flash flood mapping using geospatial data
  Hasnaoui, Yacine ; Tachi, Salah Eddine ; Bouguerra, Hamza ; Benmamar, Saâdia ; Gilja, Gordon ; Szczepanek, Robert ; Navarro-Pedreño, Jose ; Yaseen, Zaher Mundher
• Erfolgreich mit LLMs – Praktische Ansätze zur Gestaltung eigener KI-Lösungen
  Degen, Jakob J. 2024 tredition
• Quantitative determination of dopamine in the presence of interfering substances supported by machine learning tools
  Kallabis, Conrad ; Beyerlein, Peter ; Lisdat, Fred 2024 Technische Hochschule Wildau
• Bridging the Gap Between Models and Reality: Coreference Effects in Natural Language
  Herlie 2024 tredition
• Erfolgreich mit LLMs – Praktische Ansätze zur Gestaltung eigener KI-Lösungen
  Degen, Jakob J. 2024 tredition
• Machine Learning and Committee Models for Improving ECMWF Subseasonal to Seasonal (S2S) Precipitation Forecast
  Elbasheer, Mohamed Elneel Elshaikh Eltayeb ; Corzo Perez, Gerald Augusto ; Solomatine, Dimitri ; Varouchakis, Emmanouil A.
• Machine Learning and Committee Models for Improving ECMWF Subseasonal to Seasonal (S2S) Precipitation Forecast
  Elbasheer, Mohamed Elneel Elshaikh Eltayeb ; Corzo Perez, Gerald Augusto ; Solomatine, Dimitri ; Varouchakis, Emmanouil A.
• Machine Learning Enabled Design and Optimization for 3D‐Printing of High‐Fidelity Presurgical Organ Models
  Chen, Eric S. ; Ahmadianshalchi, Alaleh ; Sparks, Sonja S. ; Chen, Chuchu ; Deshwal, Aryan ; Doppa, Janardhan R. ; Qiu, Kaiyan