Results 181 to 190 of about 1,240,549 (346)
Energy Landscapes in Chemical Reactions and Transport
ChemPhysChem, Volume 26, Issue 6, March 15, 2025.Kinetics/dynamics of chemical reactivity and transport of chemical species in a solid are both determined by the energy landscape in which they take place. Discussing common grounds but also distinct differences may help in advancing the understanding in both fields.
Karl‐Michael Weitzel
wiley +1 more source
Assessment of a VoIP steganalysis method based on statistical analysis and deep neural network. [PDF]
Sci RepMoghadasi HA, Dehghani H.
europepmc +1 more source
Deep Underground Science and Engineering, EarlyView.Aluminum‐enhanced afterburning renders AE explosives more hazardous than conventional ones. Corrugated steel linings reduce far‐field AE blast overpressure by ~50% through wave reflection and dissipation. The developed model accurately predicts peak pressure (<10% error) and arrival time (<3% error), supporting protective design.
Zhen Wang +5 more
wiley +1 more source
High Precision Speech Keyword Spotting Based on Binary Deep Neural Network in FPGA. [PDF]
Entropy (Basel)Zhang A, Shi J, Qian H, Wang J.
europepmc +1 more source
Neural Network Models for Solar Irradiance Forecasting in Polluted Areas: A Comparative Study
Energy Science &Engineering, EarlyView.Pollution‐aware hybrid ensemble model is proposed to forecast solar irradiance across eight diverse cities. The model integrates MLP, RNN, and NARX to handle varying atmospheric pollution levels. The model outperforms state‐of‐the‐art methods with enhanced accuracy and interpretability on standard solar irradiance data set.
Mujtaba Ali +6 more
wiley +1 more source
Modeling macroscopic brain dynamics with brain-inspired computing architecture. [PDF]
Nat CommunZheng Z +9 more
europepmc +1 more source
Energy Science &Engineering, EarlyView.The graphical abstract presents the concept of applying machine‐learning algorithms to assess the performance of photovoltaic modules. Data from solar panels are fed to surrogates of intelligent models, to assess the following performance metrics: identifying faults, quantifying energy production and trend degradation over time. The combination of data
Nangamso Nathaniel Nyangiwe +3 more
wiley +1 more source
Design and Implementation of a YOLOv2 Accelerator on a Zynq-7000 FPGA. [PDF]
Sensors (Basel)Kim H, Kim TK.
europepmc +1 more source
Energy Science &Engineering, EarlyView.This paper aims to provide a robust design approach for HAWTs operating in shear flow. This study fills a critical research gap by integrating BEM and vortex theories for blade design in non‐homogeneous inflow conditions. The authors of the paper made an effort to develop and test an experimentally unsophisticated model of a turbine working in shear ...
Agnieszka Woźniak +2 more
wiley +1 more source