Results 21 to 30 of about 11,608 (266)
Morphological Computation: Nothing but Physical Computation
The purpose of this paper is to argue against the claim that morphological computation is substantially different from other kinds of physical computation.
Marcin Miłkowski
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Fog computing has emerged as a computing paradigm for resource-restricted Internet of things (IoT) devices to support time-sensitive and computationally intensive applications. Offloading can be utilized to transfer resource-intensive tasks from resource-
Dezheen H. Abdulazeez, Shavan K. Askar
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FlexConnect: Mobile Computational Offloading
Edge computing is increasing its popularity also in non-computing specific environments. In particular, Makerspaces are facing the issue of providing cognitive-edge to cloud computational power to their users, for running their 3D modeling and optimizations.
Alexander Droob +8 more
openaire +3 more sources
The Escape of Sisyphus or What “Post NG-PON2” Should Do Apart from Neverending Capacity Upgrades
The primary design goal of (r)evolutionary NG-PON1&2 was the provisioning of an ever increasing capacity to cope with video-dominated traffic and handle the explosion of mobile data traffic by means of offloading.
Martin Maier
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Autism spectrum disorder (ASD) is a brain disorder causing issues among many young children. For children suffering from ASD, their learning ability is typically slower when compared to normal children.
Mazin Abed Mohammed +5 more
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Dynamic Computation Offloading Scheme for Drone-Based Surveillance Systems
Recently, various technologies for utilizing unmanned aerial vehicles have been studied. Drones are a kind of unmanned aerial vehicle. Drone-based mobile surveillance systems can be applied for various purposes such as object recognition or object ...
Bongjae Kim +3 more
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Network optimization by regional computing for UAVs' big data
Unmanned Aerial Vehicles (UAVs) are increasingly used in sectors such as surveillance, agriculture, and disaster response, generating massive volumes of real-time big data. Traditional cloud computing introduces high latency, while edge computing suffers
Afzal Badshah +5 more
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This problem is a series of biddings and auctions. Each round of bidding and auction are different from previous ones because of the change of network topology, variance of budget set by the sender, and possible evolution of strategies of other nodes. The huge strategy space of relay nodes makes the formulation to a game very difficult.
Di Li, Asya Mitseva
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Offloading and Transmission Strategies for IoT Edge Devices and Networks
We present a machine and deep learning method to offload trained deep learning model and transmit packets efficiently on resource-constrained internet of things (IoT) edge devices and networks.
Jiheon Kang, Doo-Seop Eom
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Organic Materials of Tomorrow: Horizons of Artificial Intelligence
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena +3 more
wiley +1 more source

