A comprehensive review on MoSe 2 nanostructures with an overview of machine learning techniques for supercapacitor applications
In the past few decades, supercapacitors (SCs) have emerged as good and reliable energy
storage devices due to their impressive power density, better charge–discharge rates, and …
storage devices due to their impressive power density, better charge–discharge rates, and …
Influence of Electrode Pore Size and Electrolyte on Carbon Aerogel Supercapacitors: Insights from Experimental Studies and Molecular Simulations
S Kannur, M Devi, J Pasyanthi, K Kunte… - The Journal of …, 2024 - ACS Publications
This study investigates the enhancement of supercapacitor energy density by exploring the
role of carbon aerogel (CA) electrode pore size and aqueous electrolyte compositions by …
role of carbon aerogel (CA) electrode pore size and aqueous electrolyte compositions by …
Evaluating Machine Learning and Deep Learning models for predicting Wind Turbine power output from environmental factors
This study presents a comprehensive comparative analysis of Machine Learning (ML) and
Deep Learning (DL) models for predicting Wind Turbine (WT) power output based on …
Deep Learning (DL) models for predicting Wind Turbine (WT) power output based on …
Automated Defect Detection in Solar Cell Images Using Deep Learning Algorithms
This research study introduces a unique method that makes use of a wide range of deep
learning (DL) techniques for automated flaw identification in solar cell images. The research …
learning (DL) techniques for automated flaw identification in solar cell images. The research …