Results 31 to 40 of about 8,851 (151)
SMarT‐Diff introduces a multi‐objective generative paradigm that integrates scaffold hopping with structure‐aware scoring to enable controlled exploration beyond the training distribution. The framework consistently balances drug‐likeness, synthesizes accessibility and bioactivity, yielding chemically diverse candidates with enhanced properties.
Yuwei Yang +8 more
wiley +1 more source
Machine‐Learning‐Assisted Onset‐Time Determination in Transient Luminescence Thermometry
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
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
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
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
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
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 +4 more
wiley +1 more source
Interplay Between Green Investment and Market Price Premia in Global Shipping
ABSTRACT Existing research emphasises that the driver of green investment is its future profitability. This paper shows that other investors' decisions also influence green investment. We take the example of scrubber installation in shipping, which is optional by regulation but has an established market for trading its underlying asset.
Yao Shi +4 more
wiley +1 more source
Digital Image Watermarking Techniques: A Review
Digital image authentication is an extremely significant concern for the digital revolution, as it is easy to tamper with any image. In the last few decades, it has been an urgent concern for researchers to ensure the authenticity of digital images ...
Mahbuba Begum, Mohammad Shorif Uddin
doaj +1 more source
Risk Forecasting in Shipping Exchange‐Traded‐Fund (ETF) Markets
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 +2 more
wiley +1 more source

