Results 91 to 100 of about 6,849,681 (296)

Retinal vessel segmentation based on Fully Convolutional Neural Networks [PDF]

Expert Systems with Applications, 2018
Support repository for this work: https://github.com/americofmoliveira ...
Américo Oliveira, Sérgio Pereira, Carlos A. Silva 0002   +2 more
openaire   +5 more sources

Wearable Kirigami‐Apertured Capacitive Sensors for Continuous Cardiac Volumetric Monitoring

Advanced Functional Materials, EarlyView.
A wearable kirigami‐apertured carbon nanotube‐paper composite (K‐CPC) capacitive sensor enables cardiac volumetric monitoring. The kirigami process creates a central aperture with cantilevered fibers that confine the electric field, enhancing both sensitivity and lateral resolution.
Yu‐Jen Cheng, Shawn Kim, Jonathan Avery, Younghoon Kwon, Jae‐Hyun Chung   +4 more
wiley   +1 more source

Multi‐Level Saturation Current Encoding in Two‐Dimensional Ferroelectric Source‐Gated Transistors

Advanced Functional Materials, EarlyView.
A 2D ferroelectric source‐gated transistor (SGT) operates with a non‐volatile, multi‐level saturation current controlled by ferroelectric polarization. Operando electrostatic and photocurrent imaging link the current limitation to source‐side depletion, identifying saturation current as a programmable, read‐bias‐tolerant device parameter toward low ...
Joon‐Seok Kim, Ting‐Ching Chu, Zhehao Zhu, Lincoln J. Lauhon   +3 more
wiley   +1 more source

Accelerating Deep Learning Inference in Constrained Embedded Devices Using Hardware Loops and a Dot Product Unit

IEEE Access, 2020
Deep learning algorithms have seen success in a wide variety of applications, such as machine translation, image and speech recognition, and self-driving cars. However, these algorithms have only recently gained a foothold in the embedded systems domain.
Jure Vreca, Karl J. X. Sturm, Ernest Gungl, Farhad Merchant, Paolo Bientinesi, Rainer Leupers, Zmago Brezocnik   +6 more
doaj   +1 more source

Reservoir‐Driven Neuromorphic Computing Based on Composite Rare‐Earth/Transition Metal Oxide Memristor

Advanced Functional Materials, EarlyView.
A defect‐engineered Ag/Gd2O3:Nb2O5/Pt rare earth composite oxide memristor enables stable multilevel reservoir states through pulse driven conductance modulation. Experimentally measured device responses are incorporated into a device aware reservoir computing framework for CIFAR‐100 image classification, highlighting the potential of rare earth ...
Hammad Ghazanfar, Haider Abbas, Muhammad Rabeel, Honggyun Kim, Ghulam Dastgeer, Muhammad Nasim, Furqan Zahoor, Yawar Abbas, Waqas Ahmad, Deok‐kee Kim   +9 more
wiley   +1 more source

Frequency-Domain and Spatial-Domain MLMVN-Based Convolutional Neural Networks

Algorithms
This paper presents a detailed analysis of a convolutional neural network based on multi-valued neurons (CNNMVN) and a fully connected multilayer neural network based on multi-valued neurons (MLMVN), employed here as a convolutional neural network in the
Igor Aizenberg, Alexander Vasko
doaj   +1 more source

Time series classification based on statistical features

EURASIP Journal on Wireless Communications and Networking, 2020
This paper presents a statistical feature approach in fully convolutional time series classification (TSC), which is aimed at improving the accuracy and efficiency of TSC.
Yuxia Lei, Zhongqiang Wu
doaj   +1 more source

Cloud-based video analytics using convolutional neural networks. [PDF]

, 2018
Object classification is a vital part of any video analytics system, which could aid in complex applications such as object monitoring and management.
Anjum, Ashiq, Yaseen, M., Antonopoulos, Nick, Farid, Mohsen   +3 more
core   +1 more source

Intelligent Orthopedics: Machine Learning in Diagnosis of Bone Disease, Implants, and Bone Health Monitoring

Advanced Healthcare Materials, EarlyView.
Efficient recovery from traumatic or degenerative diseases is a great challenge, even after all the advancements in bone and cartilage regeneration. Machine learning (ML) algorithms have presented opportunities to enhance these aspects by accurately analyzing imaging data.
Maryam Kamaei, Hesam Mohammadi, Shamim Golafshan, Mojtaba Alehosseini, Mahsa Mohammadzadeh, Atefeh Golshirazi, Nasim Golafshan, Tatiane Eufrásio‐da‐Silva, Alireza Dolatshahi‐Pirouz, Gorka Orive   +9 more
wiley   +1 more source

Convolutional neural networks: an overview and application in radiology

Insights into Imaging, 2018
Convolutional neural network (CNN), a class of artificial neural networks that has become dominant in various computer vision tasks, is attracting interest across a variety of domains, including radiology.
Rikiya Yamashita, Mizuho Nishio, Richard Kinh Gian Do, Kaori Togashi   +3 more
doaj   +1 more source