A survey of deep learning: Platforms, applications and emerging research trends
WG Hatcher, W Yu - IEEE access, 2018 - ieeexplore.ieee.org
Deep learning has exploded in the public consciousness, primarily as predictive and
analytical products suffuse our world, in the form of numerous human-centered smart-world …
analytical products suffuse our world, in the form of numerous human-centered smart-world …
Deep learning and reconfigurable platforms in the internet of things: Challenges and opportunities in algorithms and hardware
RF Molanes, K Amarasinghe… - IEEE industrial …, 2018 - ieeexplore.ieee.org
As the Internet of Things (IoT) continues its run as one of the most popular technology
buzzwords of today, the discussion really turns from how the massive data sets are collected …
buzzwords of today, the discussion really turns from how the massive data sets are collected …
Cyber-physical systems and digital twins in the industrial internet of things [cyber-physical systems]
C Koulamas, A Kalogeras - Computer, 2018 - ieeexplore.ieee.org
Cyber-Physical Systems and Digital Twins in the Industrial Internet of Things Page 1
COMPUTER 0018-9162/18©2018IEEE NOVEMBER 2018 95 EDITOR DIMITRIOS SERPANOS …
COMPUTER 0018-9162/18©2018IEEE NOVEMBER 2018 95 EDITOR DIMITRIOS SERPANOS …
Edge machine learning: Enabling smart internet of things applications
Machine learning has traditionally been solely performed on servers and high-performance
machines. However, advances in chip technology have given us miniature libraries that fit in …
machines. However, advances in chip technology have given us miniature libraries that fit in …
Real-time event-driven classification technique for early detection and prevention of myocardial infarction on wearable systems
D Sopic, A Aminifar, A Aminifar… - IEEE transactions on …, 2018 - ieeexplore.ieee.org
A considerable portion of government health-care spending is allocated to the continuous
monitoring of patients suffering from cardiovascular diseases, particularly myocardial …
monitoring of patients suffering from cardiovascular diseases, particularly myocardial …
Real-time embedded systems: Present and future
C Koulamas, MT Lazarescu - Electronics, 2018 - mdpi.com
Real-time and networked embedded systems are important bidirectional bridges between
the physical and the information worlds. Embedded intelligence increasingly pervades …
the physical and the information worlds. Embedded intelligence increasingly pervades …
IoT edge device based key frame extraction for face in video recognition
Following the development of computing and communication technologies, the idea of
Internet of Things (IoT) has been realized not only at research level but also at application …
Internet of Things (IoT) has been realized not only at research level but also at application …
Accurate ranging on acoustic-enabled IoT devices
The enabling Internet-of-Things technology has inspired many innovative sensing
mechanisms by repurposing the onboard sensors. Leveraging the built-in acoustic sensors …
mechanisms by repurposing the onboard sensors. Leveraging the built-in acoustic sensors …
Energy and area efficiency in neuromorphic computing for resource constrained devices
G Chakma, ND Skuda, CD Schuman, JS Plank… - Proceedings of the …, 2018 - dl.acm.org
Resource constrained devices are the building blocks of the internet of things (IoT) era.
Since the idea behind IoT is to develop an interconnected environment where the devices …
Since the idea behind IoT is to develop an interconnected environment where the devices …
A review of deep learning models for computer vision
Computer Vision has given a way for computers to see by interpreting the surrounding
objects. Deep Learning is often used while training neural networks with image data. Many …
objects. Deep Learning is often used while training neural networks with image data. Many …