Convergence of edge computing and deep learning: A comprehensive survey

X Wang, Y Han, VCM Leung, D Niyato… - … surveys & tutorials, 2020 - ieeexplore.ieee.org
Ubiquitous sensors and smart devices from factories and communities are generating
massive amounts of data, and ever-increasing computing power is driving the core of …

Combining machine learning and edge computing: Opportunities, challenges, platforms, frameworks, and use cases

P Grzesik, D Mrozek - Electronics, 2024 - mdpi.com
In recent years, we have been observing the rapid growth and adoption of IoT-based
systems, enhancing multiple areas of our lives. Concurrently, the utilization of machine …

Real-time human detection and counting system using deep learning computer vision techniques

H Mokayed, TZ Quan, L Alkhaled… - Artificial Intelligence …, 2023 - ojs.bonviewpress.com
Targeting the current Covid 19 pandemic situation, this paper identifies the need of crowd
management. Thus, it proposes an effective and efficient real-time human detection and …

[HTML][HTML] Unsupervised human detection with an embedded vision system on a fully autonomous UAV for search and rescue operations

E Lygouras, N Santavas, A Taitzoglou, K Tarchanidis… - Sensors, 2019 - mdpi.com
Unmanned aerial vehicles (UAVs) play a primary role in a plethora of technical and scientific
fields owing to their wide range of applications. In particular, the provision of emergency …

A lightweight CNN model for detecting respiratory diseases from lung auscultation sounds using EMD-CWT-based hybrid scalogram

SB Shuvo, SN Ali, SI Swapnil, T Hasan… - IEEE Journal of …, 2020 - ieeexplore.ieee.org
Listening to lung sounds through auscultation is vital in examining the respiratory system for
abnormalities. Automated analysis of lung auscultation sounds can be beneficial to the …

CardioXNet: A novel lightweight deep learning framework for cardiovascular disease classification using heart sound recordings

SB Shuvo, SN Ali, SI Swapnil, MS Al-Rakhami… - ieee …, 2021 - ieeexplore.ieee.org
The alarmingly high mortality rate and increasing global prevalence of cardiovascular
diseases (CVDs) signify the crucial need for early detection schemes. Phonocardiogram …

Real time object detection and trackingsystem for video surveillance system

S Jha, C Seo, E Yang, GP Joshi - Multimedia Tools and Applications, 2021 - Springer
This paper introduces a system capable of real-time video surveillance in low-end edge
computing environment by combining object detection tracking algorithm. Recently, the …

[HTML][HTML] Deep learning at the mobile edge: Opportunities for 5G networks

M McClellan, C Cervelló-Pastor, S Sallent - Applied Sciences, 2020 - mdpi.com
Mobile edge computing (MEC) within 5G networks brings the power of cloud computing,
storage, and analysis closer to the end user. The increased speeds and reduced delay …

Deep learning architectures in emerging cloud computing architectures: Recent development, challenges and next research trend

F Jauro, H Chiroma, AY Gital, M Almutairi… - Applied Soft …, 2020 - Elsevier
The challenges of the conventional cloud computing paradigms motivated the emergence of
the next generation cloud computing architectures. The emerging cloud computing …

Edge computing and its role in Industrial Internet: Methodologies, applications, and future directions

T Zhang, Y Li, CLP Chen - Information Sciences, 2021 - Elsevier
Abstract Proliferation of Industrial Internet has dramatically changed the way we live and
work. It brings convenience to our society and sometimes requires real-time processing of …