Beebom

What is CNN in Deep Learning? The AI Behind Computer Vision

CNN in deep learning is a special type of neural network that can understand images and visual information. It works just like human vision: first it detects edges, lines and then recognizes faces and ...
Business Wire

GE HealthCare’s Photonova™ Spectra with Deep Silicon reimagines photon-counting CT to see more, know more and achieve more

Photonova Spectra i is the first in the next generation of spectral photon counting CT systems with 8-bins of energy resolution, powered by GE HealthCare’s proprietary Deep Silicon detector technology ...
Morningstar

GE HealthCare’s Photonova™ Spectra with Deep Silicon reimagines photon-counting CT to see more, know more and achieve more

Photonova Spectrai is the first in the next generation of spectral photon counting CT systems with 8-bins of energy resolution, powered by GE HealthCare’s proprietary Deep Silicon detector technology.
C&EN

Automated Background Noise Removal from Substrate Materials in Raman Spectra Using Dynamic Time Warping

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. The advent of automated background removal methods marks a ...
CNN

‘Bugonia’ took Emma Stone – and her algorithm – to some pretty weird places

Emma Stone’s algorithm is playing up again. The two-time Academy Award winner reported in May that she was being fed a load of “crazy sh*t” online since researching her part as a woman swept up by a ...
CNN

How CNN conducted its deep dive into independent US adults

The survey was conducted both online and by telephone from August 21 through September 1. The 2,077 adults who took the poll were selected from two sample sources – the SSRS Opinion Panel and a list ...
C&EN

Rapid Detection of Perfluorooctanesulfonic Acid Using Surface-Enhanced Raman Spectroscopy and Deep Learning

Department of Electrical and Computer Engineering, Michigan State University, East Lansing, Michigan 48824, United States Institute for Quantitative Health Science and Engineering, Michigan State ...
Frontiers

MLVI-CNN: a hyperspectral stress detection framework using machine learning-optimized indices and deep learning for precision agriculture

Department of Electronics Communication Engineering, SRM Institute of Science and Technology, Vadapalani Campus, Chennai, India Introduction: Early and accurate detection of crop stress is vital for ...
Frontiers

Embryo selection at the cleavage stage using Raman spectroscopy of day 3 culture medium and machine learning: a preliminary study

Background: Blastocyst transfer has been associated with shorter leukocyte telomere length in ART-conceived children, suggesting that extended embryo culture may accelerate aging in offspring.
News Medical

Detecting early signs of dementia with deep UV Raman spectroscopy

Current diagnostic approaches depend on cognitive testing, imaging, and invasive procedures such as cerebrospinal fluid analysis. These techniques are expensive and not always definitive. Finding ...
IEEE

Electrochemical Expert-Free Battery Remaining Capacity Estimation via Impedance Spectroscopy and CNN-Attention-BiLSTM Deep Learning Frameworks

Abstract: Health assessment is a critical function in lithiumion battery management. Nowadays, methods for estimating battery remaining capacity based on electrochemical impedance spectroscopy (EIS) ...