Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 1,501 to 1,510 of 6,930 articles

Attention based LSTM framework for robust UWB and INS integration in NLOS environments.

Scientific reports
This paper proposes a novel UWB/INS integration framework that utilizes attention-based Long Short-Term Memory (LSTM) neural networks to address challenges related to UWB signal degradation during non-line-of-sight (NLOS) propagation. The network is ... read more 

Cascade drive: a unified deep learning framework for multi-featured detection and control in autonomous electric vehicles on unstructured roadways.

Scientific reports
Sustainability is the success factor of the industry 5.0 era, where industries are focused towards customer-centric development. The exponential growth of smart cities paves way for opportunities for the development of various automated customer cent... read more 

An automatic classification of breast cancer using fuzzy scoring based ResNet CNN model.

Scientific reports
The expansion rate of medical data during the past ten years has rapidly expanded due to the vast fields. The automated disease diagnosis system is proposed using a deep learning (DL) algorithm, which automates and helps speed up the process efficien... read more 

A modified generative adversarial networks method for assisting the diagnosis of deep venous thrombosis complications in stroke patients.

Scientific reports
Discriminate deep vein thrombosis, one of the complications in early stroke patients, in order to assist in diagnosis. We have constructed a new method called ACWGAN by combining ACGAN and WGAN methods for data augmentation to to enhance the data of ... read more 

Prediction of cardiovascular diseases based on GBDT+LR.

Scientific reports
Currently, there are over 300 million patients with cardiovascular diseases in China. With the acceleration of population aging, the impact of cardiovascular diseases is becoming increasingly severe. Accurately and efficiently predicting the potentia... read more 

GIS-driven evaluation of energy infrastructure vulnerability to coastal inundation in Qatar.

Scientific reports
Rising average sea levels and increasingly extreme conditions pose serious threats to low-lying coastal areas due to various coastal hazards. These include the permanent marine submersion of land due to higher average sea levels, more frequent or int... read more 

A lightweight anomaly detection model for network traffic using multi scale spatio temporal residual learning.

Scientific reports
With the continuous upgrading of network attacks, network abnormal traffic detection has become a key technology to ensure network security. However, existing detection methods still face challenges in handling large-scale network traffic, solving th... read more 

Automated framework for comprehensive usability analysis of healthcare websites using web parsing.

Scientific reports
In the digital age, hospital websites are essential for providing healthcare information and services. This research introduces an automated tool, WUAHP, created in Python utilizing BeautifulSoup for HTML parsing. This facilitates the extraction of s... read more 

Deep learning based predictive models for real time accident prevention in autonomous vehicle networks.

Scientific reports
There have been substantial difficulties to road safety brought about by the increasing volume of traffic, which has resulted in the requirement for sophisticated accident prediction and prevention technologies. The use of autonomous vehicle (AV) net... read more 

Investigating the diversity and stylization of contemporary user generated visual arts in the complexity entropy plane.

Scientific reports
The advent of computational and numerical methods in recent times has provided new avenues for analyzing art historiographical narratives and tracing the evolution of art styles therein. Here, we investigate an evolutionary process underpinning the e... read more