AIMC Topic: Neural Networks, Computer

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Enhanced classification prostate cancer based on generative adversarial networks and integrated deep learning with vision transformer models.

Scientific reports
By eliminating the need to alter the source images, this paper introduces a secure technique for coverless image steganography that strengthens defense against steganalysis attacks. Our method makes use of a hybrid Generative Adversarial Network (GAN...

AI-powered IC50 prediction for p53 inhibitors drug-target interaction via hybrid graph neural networks.

Journal of computer-aided molecular design
In recent decades, the rapid pace of digital transformation marks a transformative era for the healthcare and pharmaceutical industries. The incorporation of innovative technology, specifically Artificial Intelligence (AI) and its derivatives, has dr...

Exploring Multi-Scale Interaction Features through a Physics-Aware Graph Network for Enhanced Binding Affinity Prediction.

Journal of chemical information and modeling
Protein-ligand binding affinity plays a central role in molecular recognition and drug discovery, yet accurate prediction remains challenging due to the complexity of three-dimensional interactions. Conventional computational approaches, including do...

gSelformer-MV: Multiview, Subgraph-Augmented Group SELFIES Transformer for Molecular Property Prediction.

Journal of chemical information and modeling
Data-driven approaches are essential for relating properties to the chemical structure. Atom-focused views of individual compounds are common in molecular representation learning: graph neural networks and chemical language models, the two main algor...

Research on drug-drug interaction prediction using capsule neural network based on self-attention mechanism.

BMC bioinformatics
BACKGROUND: Multi-drug combinations represent an effective strategy for treating complex diseases. However, due to the vast number of unknown interactions among drugs, accurately predicting drug-drug interactions (DDIs) is essential for preventing ad...

The mediating role of brand equity in corporate social responsibility and customer purchase intention based on text-CNN model.

Scientific reports
In the digital era, corporate social responsibility (CSR) has become a crucial factor influencing consumer purchase behavior. To investigate the mechanism through which CSR affects customer purchase intention (CPI) and to examine the mediating role o...

Pattern and structural detection in grayscale images through the application of quantile graphs in higher-dimensional spaces.

Scientific reports
Deep Learning (DL) and Machine Learning (ML) algorithms are adept at managing and classifying a wide range of data formats, including time series, text, and images, addressing challenges in both supervised and unsupervised learning. However, the prac...

An electrical pulse artifact signal for estimating arterial blood pressure: a proof-of-concept study.

Physiological measurement
Hypertension is a leading cause of mortality worldwide, for which myriad treatment options are available. It is widely considered that continuous measurement of arterial blood pressure (BP) could improve the treatment of hypertension; however, chroni...

Identification and classification of oil and gas pipeline intru-sion events based on 1-D CNN network.

PloS one
Oil and gas pipeline security is critical to national infrastructure, yet existing monitoring systems often lack the sensitivity and real-time responsiveness required to detect subtle intrusion events. This study presents a novel multimodal sensing a...

Development of a rapid detection method for patch thickness based on machine vision and near infrared spectroscopy: a case study of curcumin patch.

International journal of pharmaceutics
Patches represent a significant dosage form within transdermal drug delivery systems. In the quality control of transdermal patches, thickness not only affects the drug loading per unit area and drug release behavior but also is associated with patie...