Results 31 to 40 of about 11,364 (194)

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

AI &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, Kandarpa Kumar Sarma, Lachit Dutta   +2 more
wiley   +1 more source

Induction motor mechanical defect diagnosis using DWT under different loading levels

Acta Polytechnica, 2023
The information extraction capability of the widely used signal processing tool, FFT for diagnosing induction machines, is commonly used at a constant load or at different levels.
Ahcene Bouzida, Radia Abdelli, Aimad Boudouda   +2 more
doaj   +1 more source

Predicting Solar Photovoltaic Power Output in Saudi Arabia's Jazan Region: Performance Comparison of Machine Learning Models

Energy Science &Engineering, EarlyView.
Workflow of the PV power estimation and ML forecasting methodology. ABSTRACT Accurate prediction of solar panel energy output is vital for managing power systems effectively and maintaining a stable electrical grid. This is especially important in regions that rely heavily on renewable sources. This research provides a direct comparison of five machine
Abdoalateef Alzhrani, Abdullahi Abubakar Mas'ud, Mohd Khairul Amri Kamarudin, Firdaus Muhammad‐Sukki, Abdullahi Mohammad   +4 more
wiley   +1 more source

A multilevel perspective on MSH6‐associated Lynch syndrome: Integrating molecular, biological, and clinical insights

International Journal of Cancer, EarlyView.
Abstract Lynch syndrome (LS) is the most common hereditary colorectal cancer syndrome, caused by a germline pathogenic variant in one of the mismatch repair (MMR) genes. Among these, MSH6‐associated LS represents a distinct subtype with unique molecular and clinical characteristics.
Salwa Ben Yahia, Anne‐Sophie van der Werf‐'t Lam, Madalina Cabuta, Maartje Nielsen, Noah C. Helderman   +4 more
wiley   +1 more source

Multiple distributed generators islanding detection using GBDT-JS techniques

Science and Technology for Energy Transition
Photovoltaic arrays and wind Distributed Generators (DG) have become integral to our renewable energy landscape. However, when a DG disconnects from the grid, the risk of islanding arises, necessitating detection within the stringent of two-second ...
Goriparthy Murali Krishna, Balakrishnan Geethalakshmi   +1 more
doaj   +1 more source

Texture Feature Extraction of Pathogen Microscopic Image Using Discrete Wavelet Transform

Jurnal 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

Risk Forecasting in Shipping Exchange‐Traded‐Fund (ETF) Markets

International Journal of Finance &Economics, EarlyView.
ABSTRACT This article examines the risk properties of freight‐derivative‐based exchange‐traded funds (ETFs), focusing on the Breakwave Dry Bulk Shipping ETF (BDRY), and evaluates the accuracy of Value‐at‐Risk (VaR) and Expected Shortfall (ES) forecasts across a range of econometric models.
Christos Katris, Manolis G. Kavussanos, Stergiani (Stella) A. Moysiadou   +2 more
wiley   +1 more source

Common‐Mode Rejection Shifted‐Excitation Raman Difference Spectroscopy (CMR‐SERDS) Preserves Broad Structure Predictive of Soil Organic Carbon

Journal of Raman Spectroscopy, EarlyView.
Common‐mode rejection (CMR) is introduced as a physics‐motivated preprocessing method for shifted excitation Raman difference spectroscopy (SERDS) that removes the shared background of paired measurements while preserving the noncommon excitation‐dependent component. Applied to more than 900 North American soil samples, CMR improves soil organic carbon
Mahsa Zarei, Miayan Larose, Natalia V. Solomatova, Sadegh Shokatian, Edward Grant   +4 more
wiley   +1 more source

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

Jurnal 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, Shelvie Nidya Neyman, Toto Haryanto   +2 more
doaj   +1 more source

Lightweight Detection of Additive Watermarking in the DWT-Domain [PDF]

IEEE Transactions on Image Processing, 2011
This article aims at lightweight, blind detection of additive spread-spectrum watermarks in the DWT domain. We focus on two host signal noise models and two types of hypothesis tests for watermark detection. As a crucial point of our work we take a closer look at the computational requirements of watermark detectors.
Roland Kwitt, Peter Meerwald, Andreas Uhl   +2 more
openaire   +2 more sources