Results 61 to 70 of about 8,851 (151)

Combining Haar Wavelet and Karhunen-Loeve Transform for Robust and Imperceptible Data Hiding Using Digital Images

open access: yesJournal of Intelligent Systems, 2018
In this paper, we present an introduction of digital image watermarking followed by important characteristics and potential applications of digital watermarks.
Sharma Akankasha   +2 more
doaj   +1 more source

Automated Tuberculosis Detection in Chest Radiographs: A Hybrid Deep Learning Framework for Clinical Decision Support

open access: yesApplied AI Letters, Volume 7, Issue 2, June 2026.
A hybrid deep learning framework integrating VGG16, ResNet50, and DenseNet121 is proposed for automated tuberculosis detection from chest X‐ray images. Feature‐level fusion enhances robustness and generalization, achieving 97.4% accuracy across multiple public datasets, supporting reliable clinical decision‐making in resource‐limited healthcare ...
Md. Tahmid Hossain   +2 more
wiley   +1 more source

Impact of Noise on Fault Classification in High-Voltage Transmission Lines Using LVQ Neural Networks

open access: yesEmitor: Jurnal Teknik Elektro
Accurate fault detection and classification in high-voltage transmission lines are essential to ensure system reliability and operational safety. However, the presence of noise and transient disturbances often degrades the accuracy of conventional ...
Marta Hardiyanti Mursat   +2 more
doaj   +1 more source

Degradation Prediction of Proton‐Exchange Membrane Fuel Cell Tested Under Static and Quasi‐Dynamic Operating Conditions

open access: yesFuel Cells, Volume 26, Issue 3, June 2026.
ABSTRACT The viability and extended lifetime of proton‐exchange membrane (PEM) fuel cells are essential to enable hydrogen electric aviation. Their reliability, that is, the ability to maintain stable performance over long operational periods under varying environmental and load conditions, is a critical factor for their adoption in aviation systems ...
Matthew Georgio Dekkers   +2 more
wiley   +1 more source

Comparing v11.2 OCO‐2 and v11 OCO‐3 XCO2 ${\mathbf{X}}_{{\text{CO}}_{\mathbf{2}}}$ Retrievals With Ground‐Based COCCON Measurements

open access: yesEarth and Space Science, Volume 13, Issue 6, June 2026.
Abstract The Orbiting Carbon Observatory‐2 and ‐3 (collectively termed “OCO‐2/3,” hereafter) missions, together, provide precise and accurate global data records that contribute to a better understanding of the variability in atmospheric carbon dioxide (CO2).
Saswati Das   +76 more
wiley   +1 more source

An Efficient Design of One and Two-Dimensional DWMT-MCM

open access: yesJournal of Communications Software and Systems
Primarily two areas of research progress are made in this paper: Discrete Wavelet Transform based Multicarrier Modulation (DWT-MCM), and the Discrete Wavelet Multitone based Multicarrier Modulation (DWMT-MCM). In this work, an efficient design of one and
Yahya Jasim Harbi   +3 more
doaj   +1 more source

Fourier Neural Pseudo‐Log Generator for Well Log Reconstruction and Beyond‐Record Generation

open access: yesJournal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 3, June 2026.
Abstract Geophysical well logging is crucial for subsurface exploration, but its application is often hindered by incomplete data and high operational costs. To address these challenges, we propose the Fourier neural pseudo‐log generator (FNPG), a novel generative model capable of both missing well log reconstruction and generation of new, beyond ...
Zicheng Gai, Yanfei Wang
wiley   +1 more source

Disentangling Land‐Atmosphere Interactions via Multilevel Temporal Information Partitioning Networks

open access: yesWater Resources Research, Volume 62, Issue 6, June 2026.
Abstract Understanding Earth's hydrometeorological system requires characterizing the interactions at the land‐atmosphere interface. However, the multivariate nature of land‐atmosphere interactions across temporal scales and conditions remains insufficiently explored.
Mingming Qin   +3 more
wiley   +1 more source

Hybrid Hydrodynamic‐Machine Learning Modelling for Rapid Flood Scenario Assessment: A Case Study in Aotearoa New Zealand

open access: yesJournal of Flood Risk Management, Volume 19, Issue 2, June 2026.
ABSTRACT Flooding is one of the most devastating natural disasters worldwide. It is also expected to become more severe as climate change impacts are realised. Two‐dimensional (2D) hydrodynamic models are used to obtain reliable inundation estimations.
Andrea Pozo   +5 more
wiley   +1 more source

Perbandingan Real-Valued dan Complex Wavelet Transform pada Denoising Sinyal Fetal-Phonocardiograms

open access: yesJurnal Nasional Teknik Elektro dan Teknologi Informasi, 2020
Dodi Zulherman   +2 more
doaj   +1 more source

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