Potential of artificial intelligence-based techniques for rainfall forecasting in Thailand: A comprehensive review
Rainfall forecasting is one of the most challenging factors of weather forecasting all over the
planet. Due to climate change, Thailand has experienced extreme weather events, including …
planet. Due to climate change, Thailand has experienced extreme weather events, including …
Uncertainty analysis of photovoltaic power generation system and intelligent coupling prediction
GF Fan, YW Feng, LL Peng, HP Huang, WC Hong - Renewable Energy, 2024 - Elsevier
Accurate prediction of photovoltaic power generation is essential to promoting the active
consumption and low-carbon protection. The complex uncertainty of the photovoltaic system …
consumption and low-carbon protection. The complex uncertainty of the photovoltaic system …
Frost management in agriculture with advanced sensing, modeling, and artificial intelligent technologies: A review
Frost poses a major threat to agricultural economies through its adverse impact on crop
yields. Smart and high-efficiency frost management including pre-frost prediction, in-process …
yields. Smart and high-efficiency frost management including pre-frost prediction, in-process …
[PDF][PDF] Hybridized Intelligent Neural Network Optimization Model for Forecasting Prices of Rubber in Malaysia.
Rubber producers, consumers, traders, and those who are involved in the rubber industry
face major risks of rubber price fluctuations. As a result, decision-makers are required to …
face major risks of rubber price fluctuations. As a result, decision-makers are required to …
Food recognition and food waste estimation using convolutional neural network
In this study, an evaluation of food waste generation was conducted, using images taken
before and after the daily meals of people aged between 20 and 30 years in Serbia, for the …
before and after the daily meals of people aged between 20 and 30 years in Serbia, for the …
Artificial intelligence based forecasting and optimization model for concentrated solar power system with thermal energy storage
Power tower concentrated solar power systems integrated with thermal energy storage
systems offer promising solutions for reliable and cost-effective energy production. This …
systems offer promising solutions for reliable and cost-effective energy production. This …
Extreme weather event (cyclone) detection in India using advanced deep learning techniques
A Dabhade, S Roy, MS Moustafa… - 2021 9th …, 2021 - ieeexplore.ieee.org
Detection and Prediction of extreme weather events have always been important and
challenging task, which has become very significant while the whole world is experiencing …
challenging task, which has become very significant while the whole world is experiencing …
Grou** of Image Patterns Using Inceptionv3 For Face Shape Classification
The human face is an extraordinary part where nearly everybody is not quite the same as
each other. One perspective that should be visible plainly is the shape. Face shape …
each other. One perspective that should be visible plainly is the shape. Face shape …
Multimodal neural network-based predictive modeling of nanoparticle properties from pure compounds
Simulating complex and large materials is a challenging task that requires extensive domain
knowledge and computational expertise. This study introduces Pure2DopeNet, an …
knowledge and computational expertise. This study introduces Pure2DopeNet, an …
Deep Learning for Wind and Solar Energy Forecasting in Hydrogen Production
A Nikulins, K Sudars, E Edelmers, I Namatevs, K Ozols… - Energies, 2024 - mdpi.com
This research delineates a pivotal advancement in the domain of sustainable energy
systems, with a focused emphasis on the integration of renewable energy sources …
systems, with a focused emphasis on the integration of renewable energy sources …