AI for next generation computing: Emerging trends and future directions

SS Gill, M Xu, C Ottaviani, P Patros, R Bahsoon… - Internet of Things, 2022 - Elsevier
Autonomic computing investigates how systems can achieve (user) specified “control”
outcomes on their own, without the intervention of a human operator. Autonomic computing …

Piezoelectric nanogenerators for personalized healthcare

W Deng, Y Zhou, A Libanori, G Chen, W Yang… - Chemical Society …, 2022 - pubs.rsc.org
The development of flexible piezoelectric nanogenerators has experienced rapid progress
in the past decade and is serving as the technological foundation of future state-of-the-art …

Sensors for volatile organic compounds

M Khatib, H Haick - ACS nano, 2022 - ACS Publications
This paper provides an overview of recent developments in the field of volatile organic
compound (VOC) sensors, which are finding uses in healthcare, safety, environmental …

[HTML][HTML] Exploring the full potentials of IoT for better financial growth and stability: A comprehensive survey

H Allioui, Y Mourdi - Sensors, 2023 - mdpi.com
Cutting-edge technologies, with a special emphasis on the Internet of Things (IoT), tend to
operate as game changers, generating enormous alterations in both traditional and modern …

Digital twin paradigm: A systematic literature review

C Semeraro, M Lezoche, H Panetto, M Dassisti - Computers in Industry, 2021 - Elsevier
Manufacturing enterprises are facing the need to align themselves to the new information
technologies (IT) and respond to the new challenges of variable market demand. One of the …

Internet of things (iot) security intelligence: a comprehensive overview, machine learning solutions and research directions

IH Sarker, AI Khan, YB Abushark, F Alsolami - Mobile Networks and …, 2023 - Springer
Abstract The Internet of Things (IoT) is one of the most widely used technologies today, and
it has a significant effect on our lives in a variety of ways, including social, commercial, and …

Adversarial machine learning for network intrusion detection systems: A comprehensive survey

K He, DD Kim, MR Asghar - IEEE Communications Surveys & …, 2023 - ieeexplore.ieee.org
Network-based Intrusion Detection System (NIDS) forms the frontline defence against
network attacks that compromise the security of the data, systems, and networks. In recent …

Edge computing with artificial intelligence: A machine learning perspective

H Hua, Y Li, T Wang, N Dong, W Li, J Cao - ACM Computing Surveys, 2023 - dl.acm.org
Recent years have witnessed the widespread popularity of Internet of things (IoT). By
providing sufficient data for model training and inference, IoT has promoted the development …

Machine learning applications for precision agriculture: A comprehensive review

A Sharma, A Jain, P Gupta, V Chowdary - IEEE Access, 2020 - ieeexplore.ieee.org
Agriculture plays a vital role in the economic growth of any country. With the increase of
population, frequent changes in climatic conditions and limited resources, it becomes a …

Assessment of smart home assistants as an IoT

AJ Obaid - International Journal of Computations, Information …, 2021 - journals.gaftim.com
A smart home personal assistant technology is an intrinsic system, which incorporates many
elements such as users, Smart Home Personal Assistants (SPA) devices, cloud, skill …