Results 81 to 90 of about 302,787 (321)

Joint Optimization of Data Offloading and Resource Allocation With Renewable Energy Aware for IoT Devices: A Deep Reinforcement Learning Approach

IEEE Access, 2019
A large number of connected sensors and devices in Internet of Things (IoT) can generate large amounts of computing data and increase massive energy consumption.
Hongchang Ke, Jian Wang, Hui Wang, Yuming Ge   +3 more
doaj   +1 more source

Computer Vision on the Edge to Reduce Network Bandwidth Consumption and Computing Resources in Multi-view 3D Industrial Inspection without Hidden Surfaces [PDF]

, 2023
David Millán Escrivá, Javier Tendillo Ruiz, Pau Garrigues Carbó, Andrés Martín Larroza Santacruz, Guillermo Amat Gomariz, Javier Perez Soler, José Luı́s Guardiola, Juan-Carlos Pérez-Cortés   +7 more
openalex   +1 more source

Predicting Aggregation Behavior of Nanoparticles in Liquid Crystals via Automated Data‐Driven Workflows

Advanced Functional Materials, EarlyView.
Herein, a comprehensive framework that enabled the optimization of colloidal solubility within a high‐dimensional parameter space and study of reversible assembly processes is developed. This data‐driven workflow integrated innovations including the robotic platform for automated AuNPs functionalization, machine learning for predicting and revealing ...
Yueyang Gao, Niamh Mac Fhionnlaoich, Max Besenhard, Arun Pankajakshan, Federico Galvanin, Stefan Guldin   +5 more
wiley   +1 more source

A Generic Framework for Task Offloading in mmWave MEC Backhaul Networks

, 2018
With the emergence of millimeter-Wave (mmWave) communication technology, the capacity of mobile backhaul networks can be significantly increased. On the other hand, Mobile Edge Computing (MEC) provides an appropriate infrastructure to offload latency ...
Ghazzai, Hakim, Kassler, Andreas, Noghani, Kyoomars Alizadeh   +2 more
core   +1 more source

Ultrafast Room‐Temperature Nanofabrication via Ozone‐Based Gas‐Phase Metal‐Assisted Chemical Etching for High‐Performance Silicon Photodetectors

Advanced Functional Materials, EarlyView.
Ozone‐based gas‐phase metal‐assisted chemical etching enables unprecedented room‐temperature fabrication of high‐quality silicon nanowires. The superior oxidation potential of O3 drives rapid vertical etching (1 µm min−1) while maintaining exceptional structural integrity. The pristine nanowire surfaces enable high‐performance core‐shell photodetectors
Hyein Cho, Yejin Han, Geonhwi Kim, Jihwan Jeong, Seongmin Lee, Yebin Ahn, Sang Beom Hong, Soohyeok Park, Inkyeong Park, So Eun Jang, Duck Hyun Youn, Han‐Don Um   +11 more
wiley   +1 more source

Bandwidth Enhanced Operation of Photonic Time Delay Reservoir Computing

2020 European Conference on Optical Communications (ECOC), 2020
Trabajo presentado en la 46th European Conference on Optical Communication (ECOC), celebrada en Bruselas del 6 al 10 de diciembre de 2020.
Estébanez, Irene, Schwind, Janek, Fischer, Ingo, Argyris, Apostolos   +3 more
openaire   +3 more sources

Transient Stiffness Patterning in Hydrogels Driven by Dissipative Mechanochemical Coupling

Advanced Functional Materials, EarlyView.
Force‐induced disulfide bond rupture in a polymer‐based hydrogel, coupled with chemical or electrochemical reoxidation, leads to the transient modulation of the hydrogel's stiffness properties. High spatiotemporal control is achieved by this dissipative process, enabling the development of out‐of‐equilibrium stiffness patterns and transient, dose ...
Roberto Baretta, Maria F. Pantano, Marco Frasconi   +2 more
wiley   +1 more source

Precise Quantification of Angiogenesis in 3D Biomaterials Using in Vitro CAM Models: Enhancing 3Rs in Research and Minimizing in Vivo Dependency

Advanced Functional Materials, EarlyView.
The study develops elastin–fibrin scaffolds and evaluates angiogenesis using the chorioallantoic membrane (CAM) model. Advanced imaging with confocal microscopy and Indocyanine Green dye enables precise 3D quantification of vascular networks. Findings demonstrate superior microvessel visualization compared to micro‐CT using Microfil and Optiray 350 ...
Ece Melis Er, Martha Patricia Pérez González, Beatriz Gil Garrido, Jasmine Ho, Hae‐Won Kim, Jonathan Campbell Knowles, Jia Hua, Ferdinand Lali, Prasad Sawadkar   +8 more
wiley   +1 more source

A Parallel Compression Pipeline for Improving GPU Virtualization Data Transfers

Sensors
GPUs are commonly used to accelerate the execution of applications in domains such as deep learning. Deep learning applications are applied to an increasing variety of scenarios, with edge computing being one of them. However, edge devices present severe
Cristian Peñaranda, Carlos Reaño, Federico Silla   +2 more
doaj   +1 more source

Bandwidth Selection for Multivariate Kernel Density Estimation Using MCMC [PDF]

We provide Markov chain Monte Carlo (MCMC) algorithms for computing the bandwidth matrix for multivariate kernel density estimation. Our approach is based on treating the elements of the bandwidth matrix as parameters to be estimated, which we do by ...
Maxwell L. King, Rob J. Hyndman, Xibin Zhang   +2 more
core