[HTML][HTML] Application of meta-heuristic algorithms for training neural networks and deep learning architectures: A comprehensive review

M Kaveh, MS Mesgari - Neural Processing Letters, 2023 - Springer
The learning process and hyper-parameter optimization of artificial neural networks (ANNs)
and deep learning (DL) architectures is considered one of the most challenging machine …

[HTML][HTML] Internet of nano-things (iont): A comprehensive review from architecture to security and privacy challenges

A Alabdulatif, NN Thilakarathne, ZK Lawal, KE Fahim… - Sensors, 2023 - mdpi.com
Throughout the course of human history, owing to innovations that shape the future of
mankind, many technologies have been innovated and used towards making people's lives …

[HTML][HTML] Advancing IoT security: A systematic review of machine learning approaches for the detection of IoT botnets

A Nazir, J He, N Zhu, A Wajahat, X Ma, F Ullah… - Journal of King Saud …, 2023 - Elsevier
Abstract The Internet of Things (IoT) has transformed many aspects of modern life, from
healthcare and transportation to home automation and industrial control systems. However …

Enhancing Internet of Medical Things security with artificial intelligence: A comprehensive review

S Messinis, N Temenos, NE Protonotarios… - Computers in Biology …, 2024 - Elsevier
Over the past five years, interest in the literature regarding the security of the Internet of
Medical Things (IoMT) has increased. Due to the enhanced interconnectedness of IoMT …

[HTML][HTML] Intelligent computing with levenberg–marquardt backpropagation neural networks for third-grade nanofluid over a stretched sheet with convective conditions

M Shoaib, MAZ Raja, G Zubair, I Farhat… - Arabian journal for …, 2021 - Springer
This article discussed the influence of activation energy on MHD flow of third-grade
nanofluid model (MHD-TGNFM) along with the convective conditions and used the …

[HTML][HTML] Hybrid Deep Learning Techniques for Securing Bioluminescent Interfaces in Internet of Bio Nano Things

T Bakhshi, S Zafar - Sensors, 2023 - mdpi.com
The Internet of bio-nano things (IoBNT) is an emerging paradigm employing nanoscale (~ 1–
100 nm) biological transceivers to collect in vivo signaling information from the human body …

Heat induction of iron oxide nanoparticles with rational artificial neural network design-based particle swarm optimization for magnetic cancer hyperthermia

Z Hedayatnasab, AR Saadatabadi, H Shirgahi… - Materials Research …, 2023 - Elsevier
This study presented the optimization of synthesis experimental conditions by examining the
simultaneous effects of synthesis environment and precipitating agent type on the …

iDRNA-ITF: identifying DNA-and RNA-binding residues in proteins based on induction and transfer framework

N Wang, K Yan, J Zhang, B Liu - Briefings in Bioinformatics, 2022 - academic.oup.com
Protein-DNA and protein-RNA interactions are involved in many biological activities. In the
post-genome era, accurate identification of DNA-and RNA-binding residues in protein …

A design of an intelligent computing networks to study impacts of porous dissipation and slip for boundary layer flow along Darcy-Brinkman porous media

M Shoaib, I Naz, MAZ Raja, KS Nisar - International Communications in …, 2022 - Elsevier
In this article we observed the Darcy-Brinkman flow model in the existence of frictional
heating and porous dissipation (DBFM) over a stretching sheet by employ the neural …

Internet of nano, bio-nano, biodegradable and ingestible things: a survey

S Senturk, I Kok, F Senturk - arXiv preprint arXiv:2202.12409, 2022 - arxiv.org
In recent years, advances in biotechnology, nanotechnology and materials science have led
to development of revolutionizing applications in Internet of Things (IoT). In particular, the …