Results 31 to 40 of about 24,763 (252)

Joint computation offloading and resource allocation in vehicular edge computing networks

open access: yesDigital Communications and Networks, 2023
Vehicular Edge Computing (VEC) is a promising technique to accommodate the computation-intensive and delay-sensitive tasks through offloading the tasks to the RoadSide-Unit (RSU) equipped with edge computing servers or neighboring vehicles. Nevertheless,
Shuang Liu   +3 more
doaj   +1 more source

Exploiting Non-Causal CPU-State Information for Energy-Efficient Mobile Cooperative Computing

open access: yes, 2017
Scavenging the idling computation resources at the enormous number of mobile devices can provide a powerful platform for local mobile cloud computing. The vision can be realized by peer-to-peer cooperative computing between edge devices, referred to as ...
Brown, André EX   +11 more
core   +5 more sources

Hyperprofile-based Computation Offloading for Mobile Edge Networks

open access: yes, 2017
In recent studies, researchers have developed various computation offloading frameworks for bringing cloud services closer to the user via edge networks.
Calyam, Prasad   +5 more
core   +1 more source

Adaptive secure malware efficient machine learning algorithm for healthcare data

open access: yesCAAI Transactions on Intelligence Technology, EarlyView., 2023
Abstract Malware software now encrypts the data of Internet of Things (IoT) enabled fog nodes, preventing the victim from accessing it unless they pay a ransom to the attacker. The ransom injunction is constantly accompanied by a deadline. These days, ransomware attacks are too common on IoT healthcare devices.
Mazin Abed Mohammed   +8 more
wiley   +1 more source

A Roadmap for Plasma‐Enabled Electrocatalysis in Urea Production

open access: yesAdvanced Materials, EarlyView.
A modular plasma—electrochemical platform enables fully electrified urea synthesis from air and CO2 under ambient conditions. This Review integrates plasma oxidation, C─N coupling electrolysis, mechanistic insights, and techno‐economic metrics into a roadmap for scalable, distributed, and renewable fertilizer production.
Jingwen Huang   +6 more
wiley   +1 more source

User privacy prevention model using supervised federated learning‐based block chain approach for internet of Medical Things

open access: yesCAAI Transactions on Intelligence Technology, EarlyView., 2023
Abstract This research focuses on addressing the privacy issues in healthcare advancement monitoring with the rapid establishment of the decentralised communication system in the Internet of Medical Things (IoMT). An integrated blockchain homomorphic encryption standard with an in‐build supervised learning‐based smart contract is designed to improvise ...
Chandramohan Dhasarathan   +7 more
wiley   +1 more source

Survey on computation offloading in mobile edge computing

open access: yesTongxin xuebao, 2018
Computation offloading in mobile edge computing would transfer the resource intensive computational tasks to the edge network.It can not only solve the shortage of mobile user equipment in resource storage,computation performance and energy efficiency ...
Renchao XIE   +4 more
doaj   +2 more sources

Computation offloading strategy based on deep reinforcement learning for connected and autonomous vehicle in vehicular edge computing

open access: yesJournal of Cloud Computing: Advances, Systems and Applications, 2021
Connected and Automated Vehicle (CAV) is a transformative technology that has great potential to improve urban traffic and driving safety. Electric Vehicle (EV) is becoming the key subject of next-generation CAVs by virtue of its advantages in energy ...
Bing Lin   +5 more
doaj   +1 more source

A Review on Sensor Technologies, Control Approaches, and Emerging Challenges in Soft Robotics

open access: yesAdvanced Robotics Research, EarlyView.
This review provides an introspective of sensors and controllers in soft robotics. Initially describing the current sensing methods, then moving on to the control methods utilized, and finally ending with challenges and future directions in soft robotics focusing on the material innovations, sensor fusion, and embedded intelligence for sensors and ...
Ean Lovett   +5 more
wiley   +1 more source

Update Disturbance‐Resilient Analog ReRAM Crossbar Arrays for In‐Memory Deep Learning Accelerators

open access: yesAdvanced Science, EarlyView.
Conductive metal oxide/HfOx analog ReRAM on 350 nm technology is presented for in‐memory deep learning accelerators. The device exhibits analog and nonvolatile conductance switching and high resilience to update disturbances, which is supported by COMSOL Multiphysics simulations.
Wooseok Choi   +16 more
wiley   +1 more source

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