AI-empowered fog/edge resource management for IoT applications: A comprehensive review, research challenges, and future perspectives

GK Walia, M Kumar, SS Gill - IEEE Communications Surveys & …, 2023 - ieeexplore.ieee.org
The proliferation of ubiquitous Internet of Things (IoT) sensors and smart devices in several
domains embracing healthcare, Industry 4.0, transportation and agriculture are giving rise to …

Challenges in predictive maintenance–A review

P Nunes, J Santos, E Rocha - CIRP Journal of Manufacturing Science and …, 2023 - Elsevier
Predictive maintenance (PdM) aims the reduction of costs to increase the competitive
strength of the enterprises. It uses sensor data together with analytics techniques to optimize …

A multi-perspective framework established on diffusion of innovation (DOI) theory and technology, organization and environment (TOE) framework toward supply …

M Amini, N Jahanbakhsh Javid - Organization and Environment …, 2023 - papers.ssrn.com
Cloud Computing (CC) has emerged as one of the most discussed topics among enterprise
information technology (IT) professionals. Small and Medium Enterprises (SMEs) with low …

Edge computing on IoT for machine signal processing and fault diagnosis: A review

S Lu, J Lu, K An, X Wang, Q He - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
Edge computing is an emerging paradigm that offloads the computations and analytics
workloads onto the Internet of Things (IoT) edge devices to accelerate the computation …

AI adoption in America: Who, what, and where

K McElheran, JF Li, E Brynjolfsson… - … of Economics & …, 2024 - Wiley Online Library
We study the early adoption and diffusion of five artificial intelligence (AI)‐related
technologies (automated‐guided vehicles, machine learning, machine vision, natural …

[HTML][HTML] Credit card fraud detection in the era of disruptive technologies: A systematic review

A Cherif, A Badhib, H Ammar, S Alshehri… - Journal of King Saud …, 2023 - Elsevier
Credit card fraud is becoming a serious and growing problem as a result of the emergence
of innovative technologies and communication methods, such as contactless payment. In …

Intelligent computing: the latest advances, challenges, and future

S Zhu, T Yu, T Xu, H Chen, S Dustdar, S Gigan… - Intelligent …, 2023 - spj.science.org
Computing is a critical driving force in the development of human civilization. In recent years,
we have witnessed the emergence of intelligent computing, a new computing paradigm that …

Carbon emissions and large neural network training

D Patterson, J Gonzalez, Q Le, C Liang… - arxiv preprint arxiv …, 2021 - arxiv.org
The computation demand for machine learning (ML) has grown rapidly recently, which
comes with a number of costs. Estimating the energy cost helps measure its environmental …

Deep learning models for cloud, edge, fog, and IoT computing paradigms: Survey, recent advances, and future directions

S Ahmad, I Shakeel, S Mehfuz, J Ahmad - Computer Science Review, 2023 - Elsevier
In recent times, the machine learning (ML) community has recognized the deep learning
(DL) computing model as the Gold Standard. DL has gradually become the most widely …

Using machine learning approaches for multi-omics data analysis: A review

PS Reel, S Reel, E Pearson, E Trucco… - Biotechnology advances, 2021 - Elsevier
With the development of modern high-throughput omic measurement platforms, it has
become essential for biomedical studies to undertake an integrative (combined) approach to …