Zobrazeno 1 - 10
of 391
pro vyhledávání: '"SALEEM, NASIR"'
Biometric authentication has garnered significant attention as a secure and efficient method of identity verification. Among the various modalities, hand vein biometrics, including finger vein, palm vein, and dorsal hand vein recognition, offer uniqu
Externí odkaz:
http://arxiv.org/abs/2409.07128
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-21 (2024)
Abstract Artificial Neural Networks are incredibly efficient at handling complicated and nonlinear mathematical problems, making them very useful for tackling these challenges. Artificial neural networks offer a special computational architecture tha
Externí odkaz:
https://doaj.org/article/105bdccc513b4de2b9c42545e3a87264
Publikováno v:
Engineering Applications of Computational Fluid Mechanics, Vol 18, Iss 1 (2024)
In this work, computational intelligence methodologies are used to investigate the trihybrid nanofluid, a new theoretical model with remarkable thermal transmission properties to enhance liquid thermal performance. The nanostructure Cu, Al2O3, and Ti
Externí odkaz:
https://doaj.org/article/7d046858c4a34bd7950819e616d5f8cc
Publikováno v:
Case Studies in Thermal Engineering, Vol 63, Iss , Pp 105231- (2024)
Artificial neural networks have revolutionized machine learning by providing exceptional capabilities for modeling complicated mechanisms and solving various challenges. Backpropagation is an important training technique in the field of artificial ne
Externí odkaz:
https://doaj.org/article/c838bc98ba434781a1cb0f6a8ba4c658
Publikováno v:
Energy Conversion and Management: X, Vol 24, Iss , Pp 100807- (2024)
Developing an effective heat exchange solvent remains one of the biggest hurdles facing industries today, as conventional fluids are unsatisfactory for effective heating and cooling. The purpose of this work is to analyze the heat transmission and fl
Externí odkaz:
https://doaj.org/article/95ffc834f4334534b4228f43b09192ec
Publikováno v:
In Information Fusion February 2025 114
Autor:
Saleem, Nasir, Bourouis, Sami
Publikováno v:
In Digital Signal Processing January 2025 156 Part B
Publikováno v:
In Applied Acoustics 5 September 2024 224
Publikováno v:
In Applied Soft Computing August 2024 161
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-19 (2023)
Abstract This study explores the impacts of heat transportation on hybrid (Ag + MgO) nanofluid flow in a porous cavity using artificial neural networks (Bayesian regularization approach (BRT-ANN) neural networks technique). The cavity considered in t
Externí odkaz:
https://doaj.org/article/deb377c514de41a88e0d71c18c95afdb