Artificial Intelligence Medical Compendium

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

Showing 981 to 990 of 6,689 articles

Comparative analysis of model compression techniques for achieving carbon efficient AI.

Scientific reports
The growing computational demands of models, such as BERT, have raised concerns about their environmental impact. This study addresses the pressing need for sustainable Artificial Intelligence practices by investigating the efficiency of model compre... read more 

Multi-scale fusion semantic enhancement network for medical image segmentation.

Scientific reports
The application of sophisticated computer vision techniques for medical image segmentation (MIS) plays a vital role in clinical diagnosis and treatment. Although Transformer-based models are effective at capturing global context, they are often ineff... read more 

Channel attention pyramid network for remote physiological measurement.

Scientific reports
Remote photoplethysmography (rPPG) is an emerging contactless physiological parameter detection method utilizing cameras, showing great promise as a forefront technology for remote health assessment. While traditional rPPG methods have substantially ... read more 

Classifying and diagnosing Alzheimer's disease with deep learning using 6735 brain MRI images.

Scientific reports
Traditional diagnostic methods for Alzheimer's disease often suffer from low accuracy and lengthy processing times, delaying crucial interventions and patient care. Deep convolutional neural networks trained on MRI data can enhance diagnostic precisi... read more 

A big data driven multilevel deep learning framework for predicting terrorist attacks.

Scientific reports
In recent years, terrorism has increasingly threatened human security, causing violence, fear, and damage to both the general public and specific targets. These attacks create unrest among individuals and within society. Leveraging the recent advance... read more 

Comparison of deep learning models for predictive maintenance in industrial manufacturing systems using sensor data.

Scientific reports
This paper presents a comprehensive comparison of deep learning models for predictive maintenance (PdM) in industrial manufacturing systems using sensor data. We propose a framework that encompasses data acquisition, preprocessing, and model construc... read more 

Enhancing breast cancer diagnosis through machine learning algorithms.

Scientific reports
Among the most important health concerns in the world, and the number one cause of death in women, is breast cancer. Bearing in mind that there are more than 100 types of cancer, each presenting different symptoms, its early detection is indeed a big... read more 

A novel interval prediction method in wind speed based on deep learning and combination prediction.

Scientific reports
The combined method for interval forecasting (CMIF) is proposed for improved real-time prediction of wind speed uncertainty to facilitate wind turbine operation and power grid dispatching. Time-varying filtering for empirical mode decomposition and p... read more 

Future soil erosion trends in Canadian agricultural lands from runoff and sustainability impacts.

Scientific reports
Human activities have significantly altered agricultural regions, leading to critical issues such as reduced soil fertility, biodiversity loss, and accelerated soil erosion. Despite their importance, reliable erosion maps for Canadian croplands remai... read more 

Optimizing visual data retrieval using deep learning driven CBIR for improved human machine interaction.

Scientific reports
Content-based image retrieval (CBIR) systems have formidable obstacles in connecting human comprehension with machine-driven feature extraction due to the exponential expansion of visual data across many areas. Robust performance across varied datase... read more