Results 51 to 60 of about 84,160 (216)

CT and MRI Medical Image Fusion Using Discrete Wavelet Transform

open access: yesCumhuriyet Science Journal, 2019
In these days, using medical image is very important inhospitals. These medical images give a lot of data about human body for exampleComputed Tomography (CT) identifies the bone structure, Magnetic ResonanceImage (MRI) image gives information about ...
Saeid Karamzadeh, Molham Moshantat
doaj   +1 more source

Non-parametric linear time-invariant system identification by discrete wavelet transforms

open access: yes, 2006
We describe the use of the discrete wavelet transform (DWT) for non-parametric linear time-invariant system identification. Identification is achieved by using a test excitation to the system under test (SUT) that also acts as the analyzing function for ...
Damper, R. I., Luk, R. W.-P.
core   +1 more source

Machine‐Learning‐Assisted Onset‐Time Determination in Transient Luminescence Thermometry

open access: yesAdvanced Intelligent Discovery, EarlyView.
Artificial neural networks enable autonomous extraction of onset times from transient heating curves in luminescence thermometry. Using Ln3+‐doped upconverting nanoparticles as luminescent thermometers, we combine experimental transients with physically motivated synthetic curves to enhance data diversity and improve generalization.
David J. Sousa   +3 more
wiley   +1 more source

Texture Feature Extraction of Pathogen Microscopic Image Using Discrete Wavelet Transform

open access: yesJurnal Riset Informatika, 2022
This study used a case study of Jabon leaves, and the pathogen is one of the causes of disease that attack the leaves of jabon, one of the leaf spots and leaf blight. Discovery of leaf spot disease in different pathogens and leaf blight. The pathogen was
Hasan Basri
doaj   +1 more source

Zero Watermarking Using Convolutional Additive Self‐Attention Vision Transformer and Discrete Wavelet Transform‐Variance‐Based Feature Descriptor for Medical Image Security in Mobile Healthcare Services

open access: yesAdvanced Intelligent Systems, EarlyView.
A zero‐watermarking algorithm that combines a refined convolutional additive self‐attention vision transformer (CAS‐ViT) with a discrete wavelet transform variance‐based feature descriptor (DVFD) is proposed for protecting the privacy of medical images in mobile healthcare services.
Pei Liu   +6 more
wiley   +1 more source

A Session based Multiple Image Hiding Technique using DWT and DCT

open access: yes, 2012
This work proposes Steganographic technique for hiding multiple images in a color image based on DWT and DCT. The cover image is decomposed into three separate color planes namely R, G and B. Individual planes are decomposed into subbands using DWT.
Bhattacharya, Tanmay   +2 more
core   +1 more source

AI‐Assisted IoT‐Enabled ECG Monitoring: Integrating Foundational and Generative AI Tools for Sustainable Smart Healthcare—Recent Trends

open access: yesAI &Innovation, EarlyView.
ABSTRACT The rapid evolution of the Internet of Things (IoT) has significantly advanced the field of electrocardiogram (ECG) monitoring, enabling real‐time, remote, and patient‐centric cardiac care. This paper presents a comprehensive survey of AI assisted IoT‐based ECG monitoring systems, focusing on the integration of emerging technologies such as ...
Amrita Choudhury   +2 more
wiley   +1 more source

Robust Digital Watermarking on Vital Archives using Hybrid SVD and DWT Methods

open access: yesJurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), 2023
The development of Internet technology affects the dissemination of data, especially in vital government archives. This research uses a hybrid singular value decomposition (SVD) and discrete wavelet transform (DWT) method, which aims to protect the ...
Alita Wulan Dini   +2 more
doaj   +1 more source

Extraction of coherent structures in a rotating turbulent flow experiment

open access: yes, 2004
The discrete wavelet packet transform (DWPT) and discrete wavelet transform (DWT) are used to extract and study the dynamics of coherent structures in a turbulent rotating fluid.
Eran Sharon   +11 more
core   +1 more source

Development and validation of a deep survival model to predict time to seizure from routine electroencephalography

open access: yesEpilepsia, EarlyView.
Abstract Objective This study was undertaken to develop and validate a deep survival model (EEGSurvNet) that analyzes routine electroencephalography (EEG) to predict individual seizure risk over time, comparing its performance to traditional clinical predictors such as interictal epileptiform discharges (IEDs).
Émile Lemoine   +5 more
wiley   +1 more source

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