Results 11 to 20 of about 1,569,447 (281)
Digital Twin-Aided Intelligent Offloading With Edge Selection in Mobile Edge Computing [PDF]
IEEE Wireless Communications Letters, 2022 In this paper, we study a mobile edge computing (MEC) architecture with the assistance of digital twin (DT) applied for industrial automation where multiple Internet-of-Things (IoT) devices intelligently offload computing tasks to multiple MEC servers to reduce end-to-end latency.
Tan Do-Duy +4 more
openaire +2 more sources
AN EFFICIENT BRITWARI TECHNIQUE TO ENHANCE CANNY EDGE DETECTION ALGORITHM USING DEEP LEARNING
ICTACT Journal on Soft Computing, 2022 Artificial Intelligence edge detection refers to a set of mathematical techniques used to recognize digital image locations. The picture brightness plays a vital role in detecting dissimilarities and making decisions.
S Britto Ramesh Kumar, A Bhuvaneshwari
doaj +1 more source
Applied Sciences, 2022 Vehicular Edge Computing (VEC) provides users with low-latency and highly responsive services by deploying Edge Servers (ESs) close to applications. In practice, vehicles are usually moving rapidly.
Jiale Zhao +9 more
doaj +1 more source
Selective Edge Computing for Mobile Analytics
IEEE Transactions on Network and Service Management, 2022 An increasing number of mobile applications rely on Machine Learning (ML) routines for analyzing data. Executing such tasks at the user devices saves the energy spent on transmitting and processing large data volumes at distant cloud-deployed servers.
Apostolos Galanopoulos +3 more
openaire +5 more sources
Edge to edge repair: past challenge, current case selection and future advances [PDF]
ASVIDE, 2021 Severe mitral regurgitation (MR) is associated with heart failure and impaired survival with an annual mortality risk in excess of 5% per year for unoperated patients. Despite availability of surgical mitral valve interventions, as many as half of all patients with severe MR do not receive interventions. Transcatheter edge-to-edge repair with MitraClip
Paul, Sorajja, Anene C, Ukaigwe
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Edge-Based V2X Communications With Big Data Intelligence
IEEE Access, 2020 Vehicular Internet-of-Things applications require an efficient Vehicle-to-Everything (V2X) communication scheme. However, it is particularly challenging to achieve a high throughput and low latency with limited wireless resources in highly dynamic ...
Siri Guleng +3 more
doaj +1 more source
Edge Selection in Bilinear Dynamical Networks
CoRR, 2020 8 pages, 7 figures, technical ...
Arthur Castello B. de Oliveira +2 more
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Sustainable task offloading decision using genetic algorithm in sensor mobile edge computing
Journal of King Saud University: Computer and Information Sciences, 2022 Propelling energy-constrained sensor tasks to edge servers in Sensor Mobile Edge Computing (SMEC) subjugates Mobile Devices' (MDs) resource limitation menace. Most of the existing studies focused only on the offloading issues.
Sheuli Chakraborty, Kaushik Mazumdar
doaj +1 more source
Robust Image Restoration for Motion Blur of Image Sensors
Sensors, 2016 Blind image restoration algorithms for motion blur have been deeply researched in the past years. Although great progress has been made, blurred images containing large blur and rich, small details still cannot be restored perfectly.
Fasheng Yang +4 more
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Algorithm selection using edge ML and case-based reasoning
Journal of Cloud Computing: Advances, Systems and Applications, 2023 In practical data mining, a wide range of classification algorithms is employed for prediction tasks. However, selecting the best algorithm poses a challenging task for machine learning practitioners and experts, primarily due to the inherent variability
Rahman Ali +3 more
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