Devdiscourse

AI-powered forecasting boosts retail efficiency: LSTM outshines traditional models

Demand forecasting remains one of the most complex challenges in retail management. As consumer behavior evolves rapidly, ...
Devdiscourse

Energy-Efficient AI Framework Revolutionizes Cybersecurity for Smart and IoT Infrastructures

Researchers from the University of South Florida and partner institutes developed the DynBAS-AWRF Tree, an AI-powered, energy ...
Frontiers

Research on fault-tolerant decision algorithm for data security automation

Introduction: Traditional operation and maintenance decision algorithms often ignore the analysis of data source security, making them highly susceptible to noise, time-consuming in execution, and ...
IEEE

Personalized Ayurvedic Medicine Recommendations Using Decision Tree Algorithms and Prakriti Analysis

Abstract: This article presents an ayurvedic medicine recommendation system that has used the decision tree algorithm to make customized treatment recommendations based on user inputs gathered from ...
IEEE

A TD3-Based Reinforcement Learning Algorithm With Curriculum Learning for Adaptive Yaw Control in All-Wheel-Drive Electric Vehicles

Abstract: A novel artificial intelligence-based approach for the direct yaw control (DYC) of an all-wheel drive (AWD) electric vehicle (EV) is proposed in this paper. To improve adaptability and ...
ascopubs.org

Development and validation of a deep learning clinical decision support system to optimize inpatient mortality and palliative care referrals in cancer patients.

The wasting shadow: Underweight/cachexia as a consistent predictor of adverse inpatient outcomes and escalated resource use across common solid tumors.