Results 161 to 170 of about 88,757 (305)
Providing affective and supportive video feedback in a multidisciplinary unit during the pandemic
Abdul Razeed, Pat Norman, Kristna Gurney
doaj +1 more source
Feedback and feedforward methods in medical and higher health education: A scoping review. [PDF]
Vögelin J +6 more
europepmc +1 more source
This study integrates climatic simulations with machine learning to predict solar and wind energy across Iraq. Results show Random Forest excels for solar (R2 = 0.98) and neural networks for wind (R2 = 0.97), enabling a practical web tool for renewable energy planning. ABSTRACT Driven by the global shift away from fossil fuels, solar and wind resources
Bassam Musheer Kareem +3 more
wiley +1 more source
Velocity-Sensor-Based Dual-ESO Reconstruction for Feedforward-Feedback Low-Frequency Active Micro-Vibration Isolation. [PDF]
Fan Z +8 more
europepmc +1 more source
Jerk derivative feedforward control for motion systems
This work discusses reference trajectory relevant model based feedforward design. For motion systems which contain at least one rigid body mode and which are subject to reference trajectories with mostly low frequency energy, the proposed feedforward ...
Steinbuch, M Maarten +6 more
core
Workflow of the PV power estimation and ML forecasting methodology. ABSTRACT Accurate prediction of solar panel energy output is vital for managing power systems effectively and maintaining a stable electrical grid. This is especially important in regions that rely heavily on renewable sources. This research provides a direct comparison of five machine
Abdoalateef Alzhrani +4 more
wiley +1 more source
Twisting the End Game: How Telomere Chromatin Modifications Shape Telomere Maintenance. [PDF]
Wang J +8 more
europepmc +1 more source
Predicting EU Emissions Allowance Prices Using Macroeconomic Indicators and Hybrid AI Models
ABSTRACT Predicting carbon allowance prices has grown more crucial in relation to carbon market regulation, financial strategy, and environmental policy development. This study examines a hybrid forecasting system that combines deep learning with ensemble machine learning models to forecast the price fluctuations of EU Emissions Allowance (EUAs) within
Saptarshi Ganguly +2 more
wiley +1 more source
Top-down feedback in deep neural networks leads to functional differences during audiovisual integration. [PDF]
Tugsbayar M +3 more
europepmc +1 more source
ABSTRACT Background Head and neck cancer (HNC) is a devastating diagnosis, with advanced‐stage disease leading to poorer outcomes. This qualitative study aimed to identify health system factors associated with stage of HNC diagnosis. Methods Qualitative semistructured interviews with HNC patients and clinicians were undertaken in two purposively ...
Grant Creaney +196 more
wiley +1 more source

