A review of modern machine learning techniques in the prediction of remaining useful life of lithium-ion batteries
P Sharma, BJ Bora - Batteries, 2022 - mdpi.com
The intense increase in air pollution caused by vehicular emissions is one of the main
causes of changing weather patterns and deteriorating health conditions. Furthermore …
causes of changing weather patterns and deteriorating health conditions. Furthermore …
A review on using thermoelectric cooling, heating, and electricity generators in solar energy applications
Parallel with the rapid advances of solar technologies as the very crucial components of
future energy systems, much interest has also been observed in scientists and commercial …
future energy systems, much interest has also been observed in scientists and commercial …
Recent advances in machine learning research for nanofluid-based heat transfer in renewable energy system
Nanofluids have gained significant popularity in the field of sustainable and renewable
energy systems. The heat transfer capacity of the working fluid has a huge impact on the …
energy systems. The heat transfer capacity of the working fluid has a huge impact on the …
[HTML][HTML] Productivity forecasting of solar distiller integrated with evacuated tubes and external condenser using artificial intelligence model and moth-flame optimizer
This paper aims at developing an artificial intelligence model to forecast the water yield of a
modified solar distiller integrated with evacuated tubes and an external condenser. The …
modified solar distiller integrated with evacuated tubes and an external condenser. The …
[HTML][HTML] Enhancing trays solar still performance using wick finned absorber, nano-enhanced PCM
Solar stills are famous techniques of solar desalination methods, but they suffer from the low
daily water production. In this work, an experimental study was conducted to enhance the …
daily water production. In this work, an experimental study was conducted to enhance the …
[HTML][HTML] Enhancing the performance of tubular solar stills for water purification: A comprehensive review and comparative analysis of methodologies and materials
This research paper presents a comprehensive review and comparative analysis aimed at
enhancing the performance of tubular solar stills for water purification. As the global demand …
enhancing the performance of tubular solar stills for water purification. As the global demand …
A review of techniques for simultaneous enhancement of evaporation and condensation rates in solar stills
Over the recent years, a great deal of research has been conducted on various parameters
of solar stills owing to their low cost of water production rate and feasibility of use in the most …
of solar stills owing to their low cost of water production rate and feasibility of use in the most …
Techno-economic estimation of a non-cover box solar still with thermoelectric and antiseptic nanofluid using machine learning models
With rapid rise of advancement in soft computing models, application of Machine Learning
(ML) techniques has increasingly grown to successfully evaluate thermal characterizations …
(ML) techniques has increasingly grown to successfully evaluate thermal characterizations …
Tribological and rheological properties of novel MoO3-GO-MWCNTs/5W30 ternary hybrid nanolubricant: Experimental measurement, development of practical …
M Sepehrnia, H Maleki, MF Behbahani - Powder Technology, 2023 - Elsevier
In the present paper, the rheological and tribological measurements of the SAE 5W30 multi-
grade engine oil as a base lubricant and a novel ternary combination of molybdenum …
grade engine oil as a base lubricant and a novel ternary combination of molybdenum …
Predicting solar distiller productivity using an AI Approach: Modified genetic algorithm with Multi-Layer Perceptron
Abstract Solar Stills (SSs) are an eco-friendly and efficient approach to generating drinking
water from brackish or saline sources. In this paper, a novel model for predicting the …
water from brackish or saline sources. In this paper, a novel model for predicting the …