Towards edge computing in intelligent manufacturing: Past, present and future
G Nain, KK Pattanaik, GK Sharma - Journal of Manufacturing Systems, 2022 - Elsevier
Abstract Industry 4.0 (I4. 0) is the fourth industrial revolution and a synonym for intelligent
manufacturing. It drives the convergence of several cutting-edge technologies to provoke …
manufacturing. It drives the convergence of several cutting-edge technologies to provoke …
Pervasive AI for IoT applications: A survey on resource-efficient distributed artificial intelligence
Artificial intelligence (AI) has witnessed a substantial breakthrough in a variety of Internet of
Things (IoT) applications and services, spanning from recommendation systems and speech …
Things (IoT) applications and services, spanning from recommendation systems and speech …
[HTML][HTML] Optimization and acceleration of convolutional neural networks: A survey
Convolutional neural networks (CNN) is a specialized case of artificial neural networks
(ANN) and finds its application in computer vision and parallel distributed computing for …
(ANN) and finds its application in computer vision and parallel distributed computing for …
Distredge: Speeding up convolutional neural network inference on distributed edge devices
As the number of edge devices with computing resources (eg, embedded GPUs, mobile
phones, and laptops) in-creases, recent studies demonstrate that it can be beneficial to col …
phones, and laptops) in-creases, recent studies demonstrate that it can be beneficial to col …
Deeperthings: Fully distributed cnn inference on resource-constrained edge devices
R Stahl, A Hoffman, D Mueller-Gritschneder… - International Journal of …, 2021 - Springer
Abstract Performing inference of Convolutional Neural Networks (CNNs) on Internet of
Things (IoT) edge devices ensures both privacy of input data and possible run time …
Things (IoT) edge devices ensures both privacy of input data and possible run time …
Low latency deep learning inference model for distributed intelligent IoT edge clusters
Edge computing is a new paradigm enabling intelligent applications for the Internet of
Things (IoT) using mobile, low-cost IoT devices embedded with data analytics. Due to the …
Things (IoT) using mobile, low-cost IoT devices embedded with data analytics. Due to the …
Edge AI for Internet of Energy: Challenges and perspectives
The digital landscape of the Internet of Energy (IoE) is on the brink of a revolutionary
transformation with the integration of edge Artificial Intelligence (AI). This comprehensive …
transformation with the integration of edge Artificial Intelligence (AI). This comprehensive …
[HTML][HTML] Split computing: DNN inference partition with load balancing in IoT-edge platform for beyond 5G
In the era of beyond 5G technology, it is expected that more and more applications can use
deep neural network (DNN) models for different purposes with minimum inference time …
deep neural network (DNN) models for different purposes with minimum inference time …
[HTML][HTML] Distributed artificial intelligence: Taxonomy, review, framework, and reference architecture
Artificial intelligence (AI) research and market have grown rapidly in the last few years, and
this trend is expected to continue with many potential advancements and innovations in this …
this trend is expected to continue with many potential advancements and innovations in this …
Deep learning for internet of things in fog computing: survey and open issues
In recent years, the internet of things is getting very popular where it arose in several areas
such as education, and healthcare to enhance our live. This popularity has led to an …
such as education, and healthcare to enhance our live. This popularity has led to an …