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Exergy assessment of an Organic Rankine Cycle for waste heat recovery from a refrigeration system: a review
(
Taylor and Francis Ltd.
, 2021 , Article Review)
The increased use of fossil fuels in the industry has resulted in severe environmental issues, such as ozone depletion, air pollution, and climate change, among others. Due to diverse resources, such as biomass, solar ...
Investigation and performance analysis of solar still with energy storage materials: An energy- exergy efficiency analysis
(
Elsevier Ltd
, 2022 , Article)
Researchers have attempted different Energy storage materials (ESM) in solar stills (SS) to improve distillate yield. In this experimental work, an attempt was made to increase the distillate yield & efficiency of SS, using ...
Speech Command Recognition in Computationally Constrained Environments with a Quadratic Self-Organized Operational Layer
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Conference Paper)
Automatic classification of speech commands has revolutionized human computer interactions in robotic applications. However, employed recognition models usually follow the methodology of deep learning with complicated ...
Phase change materials for thermal energy storage applications in greenhouses: A review
(
Elsevier Ltd
, 2022 , Article)
Greenhouses represent one of the largest energy-demanding sectors, requiring energy for indoor environment control for plant growth and crop yield. Thermal energy storage using phase change materials (PCMs) has been ...
Sustainable Qatar : Social, Political and Environmental Perspectives
(
Springer Singapore
, 2023 , Book)
This open access book provides a topical overview of the key sustainability issues in Qatar, focusing on environmental sustainability from a socio-political perspective. The transition to a sustainable Qatar requires ...
Federated Learning in NOMA Networks: Convergence, Energy and Fairness-Based Design
(
IEEE
, 2022 , Conference Paper)
Federated Learning (FL) is a collaborative machine learning (ML) approach, where different nodes in a network contribute to learning the model parameters. In addition, FL provides several attractive features such as data ...
Joint learning and optimization for Federated Learning in NOMA-based networks
(
Elsevier
, 2023 , Article)
Over the past decade, the usage of machine learning (ML) techniques have increased substantially in different applications. Federated Learning (FL) refers to collaborative techniques that avoid the exchange of raw data ...
Review on Decarbonizing the Building Sector in Oil and Gas Countries: The Case of Qatar
(
Qatar University Press
, 2023 , Conference Paper)
Climate change is a serious international issue, and nations must move to carbon reduction to mitigate
this problem. Therefore, Qatar is building strategies, towards energy transitions and decarbonization.
Whereas, energy ...
GHG emission reduction via multiple fuel options in carbon-constrained industrial clusters
(
Elsevier B.V.
, 2023 , Book chapter)
This paper primarily investigates the effect of incorporating multiple fuel options onto carbon constrained industrial clusters. The purpose of doing so was to maximize the profit through the optimal allocation of multiple ...
Energy assessment strategies in carbon-constrained industrial clusters
(
Elsevier Ltd
, 2022 , Article)
With the increasing climate change concerns, governments around the world are working on setting targets to mitigate its upsurge. Greenhouse gases (GHG), more specifically carbon dioxide (CO2), are the highest contributors ...