Design, technology, and management of greenhouse: A review
Today, advancements in greenhouse technology and modifications have pushed science-
based solutions for optimal plant production in all seasons worldwide by adjusting internal …
based solutions for optimal plant production in all seasons worldwide by adjusting internal …
Uncertainty quantification and software risk analysis for digital twins in the nearly autonomous management and control systems: A review
A nearly autonomous management and control (NAMAC) system is designed to furnish
recommendations to operators for achieving particular goals based on NAMAC's knowledge …
recommendations to operators for achieving particular goals based on NAMAC's knowledge …
Artificial neural network model to predict the compressive strength of eco-friendly geopolymer concrete incorporating silica fume and natural zeolite
AA Shahmansouri, M Yazdani, S Ghanbari… - Journal of Cleaner …, 2021 - Elsevier
The growing concern about global climate change and its adverse impacts on societies is
putting severe pressure on the construction industry as one of the largest producers of …
putting severe pressure on the construction industry as one of the largest producers of …
Deep fuzzy hashing network for efficient image retrieval
Hashing methods for efficient image retrieval aim at learning hash functions that map similar
images to semantically correlated binary codes in the Hamming space with similarity well …
images to semantically correlated binary codes in the Hamming space with similarity well …
A multi-stage method to predict carbon dioxide emissions using dimensionality reduction, clustering, and machine learning techniques
The main purpose of this paper is to develop an efficient multi-stage methodology to predict
carbon dioxide emissions based on two important variables including the energy …
carbon dioxide emissions based on two important variables including the energy …
Fuzzy logic-model predictive control energy management strategy for a dual-mode locomotive
Fuel cell hybrid electric vehicles (FC–HEV) combine the high energy density of hydrogen
with a high-power density energy storage system. This favors the response to sudden …
with a high-power density energy storage system. This favors the response to sudden …
When artificial intelligence meets building energy efficiency, a review focusing on zero energy building
B Yan, F Hao, X Meng - Artificial Intelligence Review, 2021 - Springer
Building energy efficiency, as a traditional field which has been existing for decades
performs a prosperous needs with diversity of corresponding methods. In the flow of artificial …
performs a prosperous needs with diversity of corresponding methods. In the flow of artificial …
Intelligent controllers and optimization algorithms for building energy management towards achieving sustainable development: challenges and prospects
Buildings account for a significant amount of energy consumption leading to the issues of
global emissions and climate change. Thus, energy management in a building is …
global emissions and climate change. Thus, energy management in a building is …
Daily suspended sediment yield estimation using soft-computing algorithms for hilly watersheds in a data-scarce situation: a case study of Bino watershed …
Water erosion creates adverse impacts on agricultural production, infrastructure, and water
quality across the world, especially in hilly areas. Regional-scale water erosion assessment …
quality across the world, especially in hilly areas. Regional-scale water erosion assessment …
Suggesting a stochastic fractal search paradigm in combination with artificial neural network for early prediction of cooling load in residential buildings
H Moayedi, A Mosavi - Energies, 2021 - mdpi.com
Early prediction of thermal loads plays an essential role in analyzing energy-efficient
buildings' energy performance. On the other hand, stochastic algorithms have recently …
buildings' energy performance. On the other hand, stochastic algorithms have recently …