Results 81 to 90 of about 60,104 (158)

Human centric hybrid modeling of circular waste systems for urban transitions. [PDF]

iScience
Anitha R, Parthiban A.
europepmc   +1 more source

Application of Reinforcement Learning Techniques in De Novo Drug Design: A Systematic Literature Review. [PDF]

Health Sci Rep
Sampa MB, Aziz NHA.
europepmc   +1 more source

Benchmarking Time-Series Artificial Intelligence Architectures for Wearable Sensor-Based Fall Prediction: A Synthetic Data Simulation Framework. [PDF]

Sensors (Basel)
Sykes ER, Maghsoudimehrabani M, Al-Shanoon A.   +2 more
europepmc   +1 more source

Lunar base agent-based modeling - A benchmark for simulating crewed space missions. [PDF]

PLoS One
Vera R, Berea A, Kennedy WG.
europepmc   +1 more source

A fusion deep Q-learning and particle swarm optimization algorithm for adaptive resource allocation in cloud computing circumstances. [PDF]

Sci Rep
Al-Jumaili AHA, Seno ME, Awad WK, Muniyandi RC, Hasan MK.   +4 more
europepmc   +1 more source

Real-Time, Inline Quantitative MRI Enabled by Scanner-Integrated Machine Learning: A Proof of Principle With NODDI. [PDF]

Magn Reson Med
Rot S, Dragonu I, Triantafyllou C, Grech-Sollars M, Papadaki A, Mancini L, Wastling S, Steeden J, Thornton JS, Yousry T, Gandini Wheeler-Kingshott CAM, Thomas DL, Alexander DC, Zhang H.   +13 more
europepmc   +1 more source

Two-phase drift monitoring and automatic retraining (TPDM-AR) for electric load forecasting. [PDF]

MethodsX
Oliveira MB, Silva LA.
europepmc   +1 more source

A Physics-Informed Neural Network Framework Integrating Soft and Hard Constraints for Predicting Biomass Gasification Syngas Compositions. [PDF]

ACS Omega
Zou Q, Huang H, Liu X, Ding J, Ren S, Si F.   +5 more
europepmc   +1 more source

Scenario-Driven Synthetic Data Generation Framework for Visual Perception Evaluation Under Adverse Driving Conditions. [PDF]

Sensors (Basel)
Xu W, Gruyer D, Duminil A, Ieng SS.
europepmc   +1 more source

A leakage-controlled machine learning framework for postprandial triglyceride phenotyping using synthetic clinical data. [PDF]

Sci Rep
Piyavechvirat N, Huang YJ, Haq QMU.
europepmc   +1 more source