AIMC Topic: Neural Networks, Computer

Clear Filters Showing 531 to 540 of 31376 articles

BCECNN: an explainable deep ensemble architecture for accurate diagnosis of breast cancer.

BMC medical informatics and decision making
BACKGROUND: Breast cancer remains one of the leading causes of cancer-related deaths globally, affecting both women and men. This study aims to develop a novel deep learning (DL)-based architecture, the Breast Cancer Ensemble Convolutional Neural Net...

Revolutionizing AMD detection Bi model CNNs and hybrid feature selection for automated grading.

Scientific reports
Age-related macular degeneration (AMD) is a common cause of vision loss in older adults. The automated grading of AMD from fundus images can aid in early detection and treatment. In this research, we propose a comprehensive framework that can enhance...

Integrating swin transfer with attention mechanism based hybrid deep learning driven automated human activity recognition for enhanced disability assistance.

Scientific reports
The challenge of providing independent living for elderly and disabled individuals is a critical societal concern. Accurate human activity recognition (HAR) is core to allow the development of context-aware applications that involve the identificatio...

A dual attention and cross layer fusion network with a hybrid CNN and transformer architecture for medical image segmentation.

Scientific reports
Medical image segmentation is a crucial technology for disease diagnosis and treatment planning. However, current approaches face challenges in capturing global semantic dependencies and integrating cross-layer features. While Convolutional Neural Ne...

Comparison of artificial neural network-predicted PPG and HVPG with measured PPG in decompensated cirrhosis patients.

Scientific reports
Portal hypertension (PHT) is pivotal in managing decompensated cirrhosis. In clinical practice, hepatic venous collaterals are frequently present, often leading to failure or reduced accuracy of hepatic venous pressure gradient (HVPG) measurements, t...

Developing highly accurate machine learning models for optimizing water quality management decisions in tilapia aquaculture.

Scientific reports
The optimization of water quality management is crucial for the success and sustainability of tilapia aquaculture. This study presents a novel approach for developing a decision-support system by comparing various machine learning models to predict o...

A generative framework for enhancing drug target interaction prediction in drug discovery.

Scientific reports
In silico drug-target interaction (DTI) prediction plays a key role in accelerating drug discovery and understanding molecular mechanisms. Traditional methods often struggle with the complexity and scale of biochemical data, thus limiting prediction ...

A deep learning AI model for determining the relationship between X-Ray detectors and patient positioning in chest radiography.

PloS one
PURPOSE: The objective of this study was to create an artificial intelligence (AI) system capable of automatically detecting the positional relationship between an X-ray detector and the patient during anteroposterior chest radiography.

Dynamic supply-side multipliers in China's marine economy: A neural network-enhanced Ghosh model for sustainable development.

PloS one
With the continuous growth of China's economy, marine economy plays an increasingly important role in the national economy. This study quantifies multiplier effects and supply-side dynamics in China's marine economy (2017-2023) to inform sustainable ...

Malware detection using pre-trained transformer encoder with byte sequences.

PloS one
Ordinary users encounter various documents on the network every day, such as news articles, emails, and messages, and most are vulnerable to malicious attacks. Malicious attack methods continue to evolve, making neural network-based malware detection...