Sepsis ranks among the deadliest illnesses a child can face. It’s an infection that spirals out of control, causing organ ...

Machine learning is transforming how crypto traders create and understand signals. From supervised models such as Random Forests and Gradient Boosting Machines to sophisticated deep learning hybrids ...

The researchers identify critical limitations that restrict the full realization of AI’s potential in mine safety. A major ...

With the rapid advancements in computer technology and bioinformatics, the prediction of protein-ligand binding sites has ...

An analysis of 5 machine-learning algorithms identified predictors for moderate-to-severe cancer-related fatigue in patients with CRC undergoing chemotherapy.

Critical concerns regarding the security and privacy of information transmitted within Internet of Medical Things systems have increased greatly ...

Zehong Wang, Xiaolong Han, Yanru Chen, Xiaotong Ye, Keli Hu, Donghua Yu (2022) Prediction of willingness to pay for airline seat selection based on improved ensemble learning Airlines have launched ...

This paper introduces a novel AI-enhanced retirement planning platform that integrates behavioral economics principles with advanced machine learning techniques to optimize financial decision-making.

The method will be a combination of a number of ML algorithms, and the method will give ... K-nearest neighbors, decision trees, random forest and gradient boosting are also tested in the study and it ...

Groundwater quality in Kasganj is critically compromised. This study uses advanced machine learning to predict contamination ...

Awurum, N.P. (2025) Next-Generation Cyber Defense: AI-Powered Predictive Analytics for National Security and Threat Resilience. Open Access Library Journal, 12, 1-17. doi: 10.4236/oalib.1114210 .