Academic Articles & Research Papers

Machine Learning-Guided Discovery of Novel Inhibitors of Escherichia coli MurB.

A Comparative Analysis of Supervised and Unsupervised Models for Detecting Attacks on the Intrusion Detection Systems

Intrusion Detection Systems are expected to detect and prevent malicious activities in a network, such as a smart grid. However, they are the main systems targeted by cyber-attacks. A number of approaches have been proposed to classify and ...

Information Extraction Tool Text2ALM: From Narratives to Action Language System Descriptions

In this work we design a narrative understanding tool Text2ALM. This tool uses an action language ALM to perform inferences on complex interactions of events described in narratives. The methodology used to implement the Text2ALM system was...

Developments and future prospects of personalized medicine in head and neck squamous cell carcinoma diagnoses and treatments

Abstract Background Precision healthcare has entered a new era because of the developments in personalized medicine, especially in the diagnosis and treatment of head and neck squamous cell carcinoma (HNSCC). This paper explores the dynamic...

Artificial Intelligence in Anesthesiology

Artificial intelligence has been advancing in fields including anesthesiology. This scoping review of the intersection of artificial intelligence and anesthesia research identified and summarized six themes of applications of artificial int...

American Society of Anesthesiologists Physical Status Classification: Hybrid Machine Learning-Large Language Model Ensemble Retrospective Validation Study.

Cloud-Based Artificial Intelligence Framework for Battery Management System

As the popularity of electric vehicles (EVs) and smart grids continues to rise, so does the demand for batteries. Within the landscape of battery-powered energy storage systems, the battery management system (BMS) is crucial. It provides ke...

Static voltage stability margin prediction considering new energy uncertainty based on graph attention networks and long short‐term memory networks

Abstract The existing static voltage stability margin evaluation methods cannot meet the actual demand of current power grid well in terms of calculation speed and accuracy. Thus, this paper proposes a static voltage stability margin predic...

A multi-state climate epidemiology analysis of Lassa fever using interpretable machine learning and an early warning framework.

Explainable machine learning with wavelet-enhanced multi-scale texture analysis of diabetes-related heel pad ultrasound texture differences.

Occupancy Prediction Using Low-Cost and Low-Resolution Heat Sensors for Smart Offices

Solving the challenge of occupancy prediction is crucial in order to design efficient and sustainable office spaces and automate lighting, heating, and air circulation in these facilities. In office spaces where large areas need to be obser...