Deep learning: a comprehensive overview on techniques, taxonomy, applications and research directions

IH Sarker - SN computer science, 2021 - Springer
Deep learning (DL), a branch of machine learning (ML) and artificial intelligence (AI) is
nowadays considered as a core technology of today's Fourth Industrial Revolution (4IR or …

A review on deep learning techniques for IoT data

K Lakshmanna, R Kaluri, N Gundluru, ZS Alzamil… - Electronics, 2022 - mdpi.com
Continuous growth in software, hardware and internet technology has enabled the growth of
internet-based sensor tools that provide physical world observations and data …

Machine learning approaches to IoT security: A systematic literature review

R Ahmad, I Alsmadi - Internet of Things, 2021 - Elsevier
With the continuous expansion and evolution of IoT applications, attacks on those IoT
applications continue to grow rapidly. In this systematic literature review (SLR) paper, our …

IoT adoption and application for smart healthcare: a systematic review

M Al-Rawashdeh, P Keikhosrokiani, B Belaton… - Sensors, 2022 - mdpi.com
In general, the adoption of IoT applications among end users in healthcare is very low.
Healthcare professionals present major challenges to the successful implementation of IoT …

Deep learning in the industrial internet of things: Potentials, challenges, and emerging applications

RA Khalil, N Saeed, M Masood, YM Fard… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
Recent advances in the Internet of Things (IoT) are giving rise to a proliferation of
interconnected devices, allowing the use of various smart applications. The enormous …

Deep learning for the industrial internet of things (iiot): A comprehensive survey of techniques, implementation frameworks, potential applications, and future directions

S Latif, M Driss, W Boulila, ZE Huma, SS Jamal… - Sensors, 2021 - mdpi.com
The Industrial Internet of Things (IIoT) refers to the use of smart sensors, actuators, fast
communication protocols, and efficient cybersecurity mechanisms to improve industrial …

Deep learning for edge computing applications: A state-of-the-art survey

F Wang, M Zhang, X Wang, X Ma, J Liu - IEEE Access, 2020 - ieeexplore.ieee.org
With the booming development of Internet-of-Things (IoT) and communication technologies
such as 5G, our future world is envisioned as an interconnected entity where billions of …

DeepEdgeBench: Benchmarking deep neural networks on edge devices

SP Baller, A Jindal, M Chadha… - 2021 IEEE International …, 2021 - ieeexplore.ieee.org
EdgeAI (Edge computing based Artificial Intelligence) has been most actively researched for
the last few years to handle variety of massively distributed AI applications to meet up the …

Implementation of intrusion detection model for DDoS attacks in Lightweight IoT Networks

SA Khanday, H Fatima, N Rakesh - Expert Systems with Applications, 2023 - Elsevier
Protecting IoT networks and infrastructure is one of the top priorities in today's computing
industry because of the unnerving and exponential development in cyberattacks and …

A survey on deep learning for challenged networks: Applications and trends

K Bochie, MS Gilbert, L Gantert, MSM Barbosa… - Journal of Network and …, 2021 - Elsevier
Computer networks are dealing with growing complexity, given the ever-increasing volume
of data produced by all sorts of network nodes. Performance improvements are a non-stop …