„data-driven“
Suchergebnisse
7.655 Treffer
-
Streamlining medical software development with CARE lifecycle and CARE agent: an AI-driven technology readiness level assessment tool
-
Improved Extrapolation Performance via Manifold Representation and Data Augmentation for Data-Driven Reduced-Order Model
-
Optimising oxygen mass transfer in venturi flumes: a data-driven through bagging and boosting perspectives
-
Semantic consistency enhancement and contribution-driven network for partial multi-view incomplete multi-label classification
-
Datengeleitetes Lernen im studienbegleitenden Deutschunterricht am Beispiel des KoGloss-Ansatzes
-
AI-driven point cloud framework for predicting solder joint reliability using 3D FEA data
-
Data-driven nutritional assessment of urban food landscapes: insights from Boston, London, and Dubai
-
Study on bicycle stability and self-stabilization mechanism by dynamic-and-data-driven surrogate modeling
-
Lithium battery state of health (SOH): analysis based on capacity increments and data-driven methods
-
Data-driven synthetic microbes for sustainable future
-
Noisy data-driven identification for errors-in-variables MISO Hammerstein nonlinear models
-
Information-entropy-driven generation of material-agnostic datasets for machine-learning interatomic potentials
-
Data-driven predictive tracking control of soft robots: a Koopman-MPC framework integrated with variable structure reduced-order extended state observer and Kalman filter
-
State of Charge Estimation Techniques for Lithium‐Ion Batteries: A Review
-
The Contributions of Muscle and Machine Work to Land and Labor Productivity in World Agriculture Since 1800
-
A Net Energy Analysis of the Global Agriculture, Aquaculture, Fishing and Forestry System
-
A big data driven multilevel deep learning framework for predicting terrorist attacks
-
Optimizing visual data retrieval using deep learning driven CBIR for improved human machine interaction
-
AI-based predictive analytics for enhancing data-driven supply chain optimization
-
Data-driven approach to the deep learning of the dynamics of a non-integrable Hamiltonian system