Artificial Intelligence Medical Compendium

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

Showing 1,281 to 1,290 of 6,800 articles

The analysis of dynamic evaluation of online shopping satisfaction based on the recurrent neural network model.

Scientific reports
This work aims to accurately understand user satisfaction in online shopping, reflecting user preferences and promoting the development of online shopping. This work explores a behavioral prediction method for online shopping users using a Recurrent ... read more 

Detecting heavy trucks from mobile phone trajectories using image-based behavioral representations and deep learning models.

Scientific reports
This paper proposes an innovative methodology for detecting heavy trucks utilizing mobile phone data, addressing significant limitations inherent in traditional tracking methods, often characterized by high costs, intrusiveness, and incomplete data c... read more 

Comprehensive datasets for RNA design, machine learning, and beyond.

Scientific reports
RNA molecules are essential in regulating biological processes such as gene expression, cellular differentiation, and development. Accurately predicting RNA secondary structures and designing sequences that fold into specific configurations remain si... read more 

Advanced analysis of defect clusters in nuclear reactors using machine learning techniques.

Scientific reports
Studying defects and defect clusters in reactor materials is essential for understanding the degradation mechanisms of materials under irradiation. By uncovering the formation and evolution of defects, this paper provides critical insights for enhanc... read more 

Integration of multiple coinflip devices for high-quality random sampling.

Scientific reports
Artificial intelligence, scientific computing, and probabilistic computing use random sampling to approximate solutions to various problems, with larger models requiring a substantial quantity of random numbers. To generate the required vast quantity... read more 

Design of Block-Scrambling-Based privacy protection mechanism in healthcare using fusion of transfer learning models with Hippopotamus optimization algorithm.

Scientific reports
In the human body, the skin is the main organ. Nearly 30-70% of individuals globally have skin-related health issues, for whom efficient and effective analysis is essential. A general method dermatologists use for analyzing skin illnesses is dermosco... read more 

Trees vs neural networks for enhancing tau lepton real-time selection in proton-proton collisions.

Scientific reports
This paper introduces supervised learning techniques for real-time selection (triggering) of hadronically decaying tau leptons in proton-proton colliders. By implementing traditional machine learning decision trees and advanced deep learning models, ... 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 

STIED: a deep learning model for the spatiotemporal detection of focal interictal epileptiform discharges with MEG.

Scientific reports
Magnetoencephalography (MEG) allows the non-invasive detection of interictal epileptiform discharges (IEDs). Clinical MEG analysis in epileptic patients traditionally relies on the visual identification of IEDs, which is time consuming and partially ... read more 

Enhancing education quality with hybrid clustering and evolutionary neural networks in a multi phase framework.

Scientific reports
Effective student performance evaluation is essential for improving education, especially in higher and technical schools. Data mining helps solve educational and administrative problems. School performance prediction is a key field of Educational Da... read more