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Dhahad H.A.
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Dhahad H.A.
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Dhahad H.A.
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1
Deep-learning optimization and environmental assessment of nanomaterial's boosted hydrogen and power generation system combined with SOFC
由
Hai T.; Dahan F.;
Dhahad
H.A
.; Almojil S.F.; Alizadeh A.; sharma A.; Almohana A.I.; Alali A.F.
发表在
International Journal of Hydrogen Energy
(2024)
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2
Optimal design and transient simulation next to environmental consideration of net-zero energy buildings with green hydrogen production and energy storage system
由
Hai T.
,
Ashraf Ali M.
,
Dhahad
H.A
.
,
Alizadeh A.
,
Sharma A.
,
Fahad Almojil S.
,
Ibrahim Almohana A.
,
Fahmi Alali A.
,
Wang D.
发表在
Fuel
(2023)
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文件
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3
Second law evaluation and environmental analysis of biomass-fired power plant hybridized with geothermal energy
由
Hai T.
,
Ali M.A.
,
Alizadeh A.
,
Dhahad
H.A
.
,
Almojil S.F.
,
Almohana A.I.
,
Alali A.F.
,
Goyal V.
,
Farhang B.
发表在
Sustainable Energy Technologies and Assessments
(2023)
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文件
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4
Retraction notice to “Utilization of machine learning and neural networks to optimize the enclosure angle, magnetic field, and radiation parameter for mixed convection of hybrid na...
由
Hai T.; Dhahad H.A.; Ali M.A.; Goyal V.; Almojil S.F.; Almohana A.I.; Alali A.F.; Almoalimi K.T.; Alyousuf F.Q.A.
发表在
Engineering Analysis with Boundary Elements
(2024)
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5
Utilization of machine learning and neural networks to optimize the enclosure angle, magnetic field, and radiation parameter for mixed convection of hybrid nanofluid flow next to a...
由
Hai T.; Dhahad H.A.; Ali M.A.; Goyal V.; Almojil S.F.; Almohana A.I.; Alali A.F.; Almoalimi K.T.; Qasim Ahmed Alyousuf F.
发表在
Engineering Analysis with Boundary Elements
(2023)
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