Results 71 to 80 of about 3,988,038 (232)

Energy efficient image coding techniques for low power sensor nodes: A review

open access: yesAin Shams Engineering Journal, 2018
Visual Sensors Networks (VSN) are spatially dispersed distributed networks, consisting of small sensing units and image sensors. They are scattered over a region to sense, collect and transfer data and are involved in domains such as environmental ...
G. Suseela, Y. Asnath Victy Phamila
doaj   +1 more source

A Multi‐Scale Machine Learning Framework for the Inverse Design of High Entropy Alloys

open access: yesAdvanced Engineering Materials, EarlyView.
High‐entropy alloys offer vast potential for various applications, including electrocatalysis; however, their compositional complexity challenges conventional screening. We introduce an inverse‐design framework combining two neural networks to determine optimal compositions and reconstruct nanoparticle geometry from targeted properties and conventional
Mikael Takoutsin   +14 more
wiley   +1 more source

Distributed Adaptive Sampling, Forwarding, and Routing Algorithms for Wireless Visual Sensor Networks

open access: yes, 2009
The efficient management of the limited energy resources of a wireless visual sensor network is central to its successful operation. Within this context, this paper focuses on the adaptive sampling, forwarding, and routing actions of each node in order ...
Kho, Johnsen   +3 more
core   +1 more source

Composites of Shellac and Silver Nanowires as Flexible, Biobased, and Corrosion‐Resistant Transparent Conductive Electrodes

open access: yesAdvanced Functional Materials, EarlyView.
Shellac, a centuries‐old natural resin, is reimagined as a green material for flexible electronics. When combined with silver nanowires, shellac films deliver transparency, conductivity, and stability against humidity. These results position shellac as a sustainable alternative to synthetic polymers for transparent conductors in next‐generation ...
Rahaf Nafez Hussein   +4 more
wiley   +1 more source

From Food to Power: Hydrogel Thermoelectrics for Ingestible Electronics

open access: yesAdvanced Functional Materials, EarlyView.
We introduce a fully edible thermoelectric–electrochromic platform that harvests heat from food and converts it into a visible color change. N‐type and p‐type hydrogel thermoelectric generators connected in series power anthocyanin‐based electrochromic displays, demonstrating the feasibility of safe, biodegradable, ingestible systems for on‐food ...
Antonia Georgopoulou   +3 more
wiley   +1 more source

A Deep Neural Network Sensor for Visual Servoing in 3D Spaces

open access: yesSensors, 2020
This paper describes a novel stereo vision sensor based on deep neural networks, that can be used to produce a feedback signal for visual servoing in unmanned aerial vehicles such as drones.
Petar Durdevic, Daniel Ortiz-Arroyo
doaj   +1 more source

Wearable Smart Patches on Sustainable Chitosan With Reversible Microbial Growth‐Inhibitory Properties

open access: yesAdvanced Functional Materials, EarlyView.
ABSTRACT Chitosan, a polysaccharide upcycled from biowaste, has long promised sustainable, biocompatible, and antimicrobial films and devices, an appeal reinforced by its recent regulatory recognition, with several chitosan‐based antibacterial dressings gaining clearance through the Food and Drug Administration's 510(k) pathway.
Jacopo Nicoletti   +16 more
wiley   +1 more source

Regulated Ion‐Diffusion Hydrogels for Subtle and Multimodal Temperature‐Strain Sensing in Wound Monitoring

open access: yesAdvanced Functional Materials, EarlyView.
A soft, dual‐channel hydrogel patch enables simultaneous detection of wound temperature and strain by integrating ion‐diffusion‐mediated thermoelectric and resistive sensing. The conformal design maintains stable performance during motion, capturing subtle inflammatory and mechanical changes for continuous wound monitoring.
Yu Fang   +7 more
wiley   +1 more source

Routing and broadcasting over sensor networks [PDF]

open access: yes, 2008
textAdvances in micro-embedded computing systems, coupled with developments in wireless technology have enabled the deployment of large scale wireless and sensor networks for many important applications.
Subramanian, Sundar, 1981-
core  

Coarse-Fine Convolutional Neural Network for Person Re-Identification in Camera Sensor Networks

open access: yesIEEE Access, 2019
In this paper, we present a novel deep model named coarse-fine convolutional neural network (CFCNN) for person re-identification in camera sensor networks, which jointly learns global and multi-scale local features simultaneously.
Zhong Zhang, Haijia Zhang, Shuang Liu
doaj   +1 more source

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