Results 101 to 110 of about 86,091 (310)
CLU-CNNs: Object detection for medical images
, 2022 Medical images have different characteristics from normal images. As an important feature, there usually exists data distribution difference between source domain and target domain for data scarcity and privacy.
Zhou, P +5 more
core +1 more source
Advanced Science, EarlyView.Here, we demonstrate and investigate polarization‐enabled electromechanical responses in cryogenic physical vapor deposition (cryogenic PVD)‐deposited TexSe1‐x thin films, a tellurium‐based compound with a tunable bandgap and enhanced non‐centrosymmetry.
Chia‐Chen Chung +16 more
wiley +1 more source
CoRR, 2017 Faster R-CNN is one of the most representative and successful methods for object detection, and has been becoming increasingly popular in various objection detection applications. In this report, we propose a robust deep face detection approach based on Faster R-CNN.
Hao Wang 0050 +3 more
openaire +2 more sources
SIRENA: A simulation environment for CNNs
, 1994 SIRENA is a general simulation environment for artificial neural networks, with emphasis towards CNNs. A special interest has been placed in allowing the simulation and modelling of the non-ideal effects expected from VLSI implementations.
Domínguez Castro, Rafael +5 more
core +1 more source
Ferroelectric Devices for In‐Memory and In‐Sensor Computing
Advanced Science, EarlyView.Inspired by biological systems, in‐memory and in‐sensor computing overcome von Neumann bottlenecks. Ferroelectric devices can mimic synaptic functions and sense stimuli like light or force, therefore are ideal for these paradigms. This review introduces the ferroelectric devices applied for in‐memory and in‐sensor computing, covering their structures ...
Hong Fang +5 more
wiley +1 more source
Sustainable Synaptic Device with Two‐Dimensional Ferroelectric Materials for Neuromorphic Computing
Advanced Science, EarlyView.α‐In2Se3 based FeSFETs can be utilized as sustainable devices through polarization switching governed by both out‐of‐plane and in‐plane polarizations. Upon reaching a fatigued state, current annealing enabled by conductance modulation can significantly enhance the endurance of FeSFETs.
Jaewook Yoo +12 more
wiley +1 more source
IEEE AccessThe increasing application of composite materials in various industrial sectors is driven by their lightweight nature, high strength-to-stiffness ratio, and corrosion resistance.
Xin Zhao +4 more
doaj +1 more source
Nanomaterials, 2018 MoS2 quantum dots (QDs) functionalized g-C3N4 nanosheets (MoS2@CNNS) were prepared through a protonation-assisted ion exchange method, which were developed as a highly efficient biomimetic catalyst.
Peng Ju +6 more
doaj +1 more source
Diatom Classification Including Morphological Adaptations Using CNNs
, 2020 12 pags., 5 figs., 4 tabs. -- 9th Iberian Conference on Pattern Recognition and Image Analysis IbPRIA 2019, Madrid, Spain, 1-4 July 2019Abstract. Diatoms are a major group of aquatic microalgae.
Bueno, Gloria +3 more
core +1 more source
IMAGE AESTHETIC PREDICTORS BASED ON WEIGHTED CNNS [PDF]
, 2016 Convolutional Neural Networks (CNNs) have been widely adopted for many imaging applications. For image aesthetics prediction, state-of-the-art algorithms train CNNs on a recently-published large-scale dataset, AVA.
Jin, Bin +5 more
core +1 more source