Recent breakthroughs in computing power have made it feasible to use machine learning
and deep learning to advance scientific computing in many fields, including fluid mechanics …

The pandemic of COVID-19 obliges citizens to follow the “work from home “scheme. The
Internet is also a powerful channel for social connections. The huge dependency of people …

Optical fibers are utilized widely for data transmission systems because of their capacity to
carry extensive information and dielectric nature. Network architectures utilizing multiple …

Advancements in computing power have recently made it possible to utilize machine
learning and deep learning to push scientific computing forward in a range of disciplines …

Cloud computing has swiftly established itself as the norm in its field as a result of the
advantages described above. In an attempt to reduce the amount of time spent on …

The vulnerabilities in most web applications enable hackers to gain access to confidential
and private information. Structured query injection poses a significant threat to web …

Recently, computer networks faced a big challenge, which is that various malicious attacks
are growing daily. Intrusion detection is one of the leading research problems in network …

There has been a meteoric rise in the total amount of digital texts as a direct result of the
proliferation of internet access. As a direct result of this, document clustering has evolved …

Whether it's for work or personal well-being, keeping secrets or private information has
become part of our everyday existence. Therefore, several researchers acquire an entire …

The intersection of physics and machine learning has given rise to a paradigm that we refer
to here as physics-enhanced machine learning (PEML), aiming to improve the capabilities …