Zobrazeno 1 - 10
of 624
pro vyhledávání: '"Hammad, M. A."'
Autor:
Hammad, M. M.
"Artificial Neural Network and Deep Learning: Fundamentals and Theory" offers a comprehensive exploration of the foundational principles and advanced methodologies in neural networks and deep learning. This book begins with essential concepts in desc
Externí odkaz:
http://arxiv.org/abs/2408.16002
Autor:
Hammad, M. M.
Artificial neural networks (ANNs), particularly those employing deep learning models, have found widespread application in fields such as computer vision, signal processing, and wireless communications, where complex numbers are crucial. Despite the
Externí odkaz:
http://arxiv.org/abs/2407.19258
Autor:
Hammad, M. M.
In the architecture of deep learning models, inspired by biological neurons, activation functions (AFs) play a pivotal role. They significantly influence the performance of artificial neural networks. By modulating the non-linear properties essential
Externí odkaz:
http://arxiv.org/abs/2407.11090
Autor:
Hammad, M. M.
Publikováno v:
Physica Scripta 96 115304 (2021)
Using the conformable fractional calculus, a new formulation of the Bohr Hamiltonian is introduced. The conformable fractional energy spectra of free- and two- parameters anharmonic oscillator potentials are investigated. The energy eigenvalues and w
Externí odkaz:
http://arxiv.org/abs/2311.14080
Publikováno v:
Nuclear Physics A Volume 1028, December 2022, 122540
A simple systematic procedure to construct the proton-neutron unitary, $u_{\text{sd}}^{\pi \nu }{(12)}$, orthogonal, $o_{\text{sd}}^{\pi \nu }{(12)}$, and quasi-spin $\text{su}_{\text{sd}}^{\pi \nu }{(1,1)}$ algebras of the sd bosonic system is prese
Externí odkaz:
http://arxiv.org/abs/2311.03960
Publikováno v:
Nuclear Physics A Volume 1030, February 2023, 122576
New approximate analytical solutions have been obtained for the conformable fractional collective Bohr Hamiltonian suitable for triaxial nuclei, with the harmonic oscillator in {\gamma}-part of the collective potential and different exponential-type
Externí odkaz:
http://arxiv.org/abs/2311.03066
Autor:
Hammad, M. M.
In recent years, the field of statistics has experienced a surge in interest and application, largely due to significant advances in computer technology. This progress has led to remarkable developments in statistics methods and algorithms, enabling
Externí odkaz:
http://arxiv.org/abs/2310.00004
Autor:
Hammad, M. M., Yahia, M. M.
The field of optimization has gotten a lot of interest in recent years owing to significant advances in computer technology. Numerous issues in machine learning, economics, finance, geophysics, molecular modeling, computational systems biology, opera
Externí odkaz:
http://arxiv.org/abs/2302.05964
Autor:
Muhammad Arsalan, Ahmar Rashid, Khurram Khan, Abid Imran, Faheem Khan, Muhammad Azeem Akbar, Hammad M. Cheema
Publikováno v:
Smart Agricultural Technology, Vol 8, Iss , Pp 100497- (2024)
This paper introduces a precision agriculture application aimed at mitigating the excessive utilization of agricultural chemicals, including pesticides and fungicides during crop spraying. The prevailing spraying techniques face two principle challen
Externí odkaz:
https://doaj.org/article/a90cbf35254d470e99bd96ce1805fc5d
Autor:
Arsalan, Muhammad, Rashid, Ahmar, Khan, Khurram, Imran, Abid, Khan, Faheem, Azeem Akbar, Muhammad, Cheema, Hammad M.
Publikováno v:
In Smart Agricultural Technology August 2024 8