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 …

[HTML][HTML] Edge AI: a survey

R Singh, SS Gill - Internet of Things and Cyber-Physical Systems, 2023 - Elsevier
Artificial Intelligence (AI) at the edge is the utilization of AI in real-world devices. Edge AI
refers to the practice of doing AI computations near the users at the network's edge, instead …

AI-based fog and edge computing: A systematic review, taxonomy and future directions

S Iftikhar, SS Gill, C Song, M Xu, MS Aslanpour… - Internet of Things, 2023 - Elsevier
Resource management in computing is a very challenging problem that involves making
sequential decisions. Resource limitations, resource heterogeneity, dynamic and diverse …

[HTML][HTML] Modern computing: Vision and challenges

SS Gill, H Wu, P Patros, C Ottaviani, P Arora… - … and Informatics Reports, 2024 - Elsevier
Over the past six decades, the computing systems field has experienced significant
transformations, profoundly impacting society with transformational developments, such as …

Opportunities and challenges of artificial intelligence and distributed systems to improve the quality of healthcare service

S Aminizadeh, A Heidari, M Dehghan, S Toumaj… - Artificial Intelligence in …, 2024 - Elsevier
The healthcare sector, characterized by vast datasets and many diseases, is pivotal in
shaping community health and overall quality of life. Traditional healthcare methods, often …

Federated learning based Covid‐19 detection

D Chowdhury, S Banerjee, M Sannigrahi… - Expert …, 2023 - Wiley Online Library
The world is affected by COVID‐19, an infectious disease caused by the SARS‐CoV‐2 virus.
Tests are necessary for everyone as the number of COVID‐19 affected individual's …

High-Speed Network DDoS Attack Detection: A Survey

RMA Haseeb-Ur-Rehman, AHM Aman, MK Hasan… - Sensors, 2023 - mdpi.com
Having a large number of device connections provides attackers with multiple ways to attack
a network. This situation can lead to distributed denial-of-service (DDoS) attacks, which can …

Machine Learning for Healthcare-IoT Security: A Review and Risk Mitigation

MA Khatun, SF Memon, C Eising, LL Dhirani - IEEE Access, 2023 - ieeexplore.ieee.org
The Healthcare Internet-of-Things (H-IoT), commonly known as Digital Healthcare, is a data-
driven infrastructure that highly relies on smart sensing devices (ie, blood pressure monitors …

[HTML][HTML] CoviDetector: A transfer learning-based semi supervised approach to detect Covid-19 using CXR images

D Chowdhury, A Das, A Dey, S Banerjee… - BenchCouncil …, 2023 - Elsevier
COVID-19 was one of the deadliest and most infectious illnesses of this century. Research
has been done to decrease pandemic deaths and slow down its spread. COVID-19 …

Fog-based smart cardiovascular disease prediction system powered by modified gated recurrent unit

AA Nancy, D Ravindran, DR Vincent, K Srinivasan… - Diagnostics, 2023 - mdpi.com
The ongoing fast-paced technology trend has brought forth ceaseless transformation. In this
regard, cloud computing has long proven to be the paramount deliverer of services such as …