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Convergence of edge computing and deep learning: A comprehensive survey
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 …
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
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 …
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
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 …
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
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 …
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
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 …
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
The alarmingly high mortality rate and increasing global prevalence of cardiovascular
diseases (CVDs) signify the crucial need for early detection schemes. Phonocardiogram …
diseases (CVDs) signify the crucial need for early detection schemes. Phonocardiogram …
Real time object detection and trackingsystem for video surveillance system
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 …
computing environment by combining object detection tracking algorithm. Recently, the …
[HTML][HTML] Deep learning at the mobile edge: Opportunities for 5G networks
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 …
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
The challenges of the conventional cloud computing paradigms motivated the emergence of
the next generation cloud computing architectures. The emerging cloud computing …
the next generation cloud computing architectures. The emerging cloud computing …
Edge computing and its role in Industrial Internet: Methodologies, applications, and future directions
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 …
work. It brings convenience to our society and sometimes requires real-time processing of …