Results 121 to 130 of about 298,825 (343)
Errors due to quantization in MTF determination using sinusoidal targets
, 2005 A theoretical treatment of the effect of quantization upon the determination of modulation transfer functions (MTF) of digital acquisition devices is initially developed for a noiseless system, when using sinusoidal targets.
Richardson, M.A. +2 more
core +1 more source
Advanced Science, EarlyView.Single‐atom Cu intercalation enables porous AB3 monolayers to integrate ferroelectricity, metallicity, topology, and hydrogen evolution catalysis in one platform. Switchable FE polarization modulates work function and hydrogen adsorption thermodynamics, providing an electrically controllable route to activate basal‐plane HER activity in topological ...
Rongxuan Lu +4 more
wiley +1 more source
Angular Deep Supervised Hashing for Image Retrieval
IEEE Access, 2019 Deep learning based image hashing methods learn hash codes by using powerful feature extractors and nonlinear transformations to achieve highly efficient image retrieval. For most end-to-end deep hashing methods, the supervised learning process relies on
Chang Zhou +8 more
doaj +1 more source
A new basis selection paradigm for wavelet packet image coding [PDF]
, 2001 In this paper, work on a new wavelet packet basis selection paradigm is reported which emphasizes the crucial role of quantization strategy being used This paradigm is coupled with a new Markov chain based estimation of the cost of zerotree quantization ...
Ronald R. Coifman +8 more
core
Conductance quantization in h-BN memristors
, 2023 Memristive devices made of multilayer hexagonal boron nitride are attracting much attention for information storage, computation, encryption, and communication. Generating multilevel operation in these memristors would be an important added value for the
Cantudo, A. +11 more
core +1 more source
Neuromorphic Near‐Sensor and In‐Sensor Computing Enabled by Next‐Generation Material‐Based Sensors
Advanced Science, EarlyView.This Review presents a structural framework that classifies neuromorphic sensing into near‐sensor and in‐sensor architectures, clarifying physical coupling between sensing and computation. The framework connects neural and synaptic device functions with recent advances in optical, mechanical, and chemical sensing, compares energy consumption and ...
Su Yeon Jung +7 more
wiley +1 more source
Big Data and Cognitive ComputingThe advancement of artificial intelligence (AI) demands significant data and computational resources that have an adverse impact on the environment. To address this issue, a novel computing architecture that is both energy efficient and eco-friendly is ...
Yan Chen +3 more
doaj +1 more source
Photonic‐Enabled Energy‐Efficient Transparent Neuromorphic Computing Devices: A Review
Advanced Science, EarlyView.Transparent photonic neuromorphic computing devices merge optics and brain‐inspired computing to overcome von Neumann bottlenecks with ultrafast, low‐energy processing. By exploiting transparent oxides, 2D materials, phase‐change materials, and hybrid heterostructures, these platforms enable photonic synapses, memory, and logic for see‐through edge ...
Shuvaraj Ghosh +8 more
wiley +1 more source
Quantized Microcavity Polariton Lasing Based on InGaN Localized Excitons
NanomaterialsExciton–polaritons, which are bosonic quasiparticles with an extremely low mass, play a key role in understanding macroscopic quantum effects related to Bose–Einstein condensation (BEC) in solid-state systems.
Huying Zheng +10 more
doaj +1 more source