Results 81 to 90 of about 223,172 (286)

Image encryption using binary polarization states of light beam

open access: yesScientific Reports, 2023
Optical image/data encryption techniques are mostly based on the manipulation of spatial distributions of light's amplitude, phase, and polarization.
Allarakha Shikder, Naveen K. Nishchal
doaj   +1 more source

From intentions to actions: Neural oscillations encode motor processes through phase, amplitude and phase-amplitude coupling

open access: yesNeuroImage, 2017
Goal-directed motor behavior is associated with changes in patterns of rhythmic neuronal activity across widely distributed brain areas. In particular, movement initiation and execution are mediated by patterns of synchronization and desynchronization that occur concurrently across distinct frequency bands and across multiple motor cortical areas.
Combrisson, Etienne   +7 more
openaire   +3 more sources

Structure Formation in Butterfly Scales: Interplay of Genetic Control, Mechanical Instabilities, and Dynamic Material Properties

open access: yesAdvanced Functional Materials, EarlyView.
Butterfly wing scales are intricate cuticular functional nanosctructures. This perspective suggests that spatially varying material properties, cytoskeletal constraints, and growth‐driven mechanical instabilities shape the resulting nanoscale architectures created from single cells.
Anupama Prakash   +10 more
wiley   +1 more source

Color Image Encryption Based on Phase-Only Hologram Encoding Under Dynamic Constraint and Phase Retrieval Under Structured Light Illumination

open access: yesPhotonics
This paper introduces a color image encryption technique based on phase-only hologram (POH) encoding with dynamic constraint and phase retrieval under structured light illumination (SLI). During encryption, the color plaintext is first encoded into a POH.
Wenqi Zhong   +7 more
doaj   +1 more source

Atomic Layer Deposition in Transistors and Monolithic 3D Integration

open access: yesAdvanced Functional Materials, EarlyView.
Transistors are fundamental building blocks of modern electronics. This review summarizes recent progress in atomic layer deposition (ALD) for the synthesis of two‐dimensional (2D) metal oxides and transition‐metal dichalcogenides (TMDCs), with particular emphasis on their enabling role in monolithic three‐dimensional (M3D) integration for next ...
Yue Liu   +5 more
wiley   +1 more source

Corrigendum: Multiclass classification using quantum convolutional neural networks with hybrid quantum-classical learning

open access: yesFrontiers in Physics, 2023
Denis Bokhan   +7 more
doaj   +1 more source

QU-Net: Quantum-Enhanced U-Net for Self Supervised Embedding and Classification of Skin Cancer Images

open access: yesBig Data and Cognitive Computing
Background: Quantum Machine Learning (QML) has attracted significant attention in recent years. With quantum computing achievements in computationally costly domains, discovering its potential in improving the performance and efficiency of deep learning ...
Khidhr Halab   +4 more
doaj   +1 more source

Private Quantum Coding for Quantum Relay Networks

open access: yes, 2012
The relay encoder is an unreliable probabilistic device which is aimed at helping the communication between the sender and the receiver. In this work we show that in the quantum setting the probabilistic behavior can be completely eliminated.
Gyongyosi, Laszlo, Imre, Sandor
core   +3 more sources

3D‐Printed Hygroscopic Polymer Networks for High‐Humidity Triboelectric Nanogenerators to Wirelessly Power Implantable Electronic Devices‐ A Conceptual Pathway

open access: yesAdvanced Functional Materials, EarlyView.
This work develops 3D‐printable tribopolymer networks that can enhance triboelectric performance under high humidity environments. Polar hydrophilic functional groups and incorporation of zwitterionic monomers promote bound‐water–dominated interfacial polarization thereby increasing electrical outputs.
Linguangze Zhuo   +8 more
wiley   +1 more source

Reconfigurable Integrated Photonic Unitary Neural Networks With Phase Encoding Enabled by In-Situ Training

open access: yesIEEE Photonics Journal
Photonic neural networks are emerging as promising computing platforms for artificial intelligence (AI). Particularly, integrated photonic unitary neural networks (IPUNNs) are capable of mitigating gradient vanishing/explosion problems when deeper neural
Shengjie Tang   +3 more
doaj   +1 more source

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