It is generally accepted that the impact of weather variation is gradually increasing in modern distribution networks with the integration of high-proportion photovoltaic (PV) power generation and ...

Agencies throughout government have moved in recent years to adopt ML-powered endpoint protection and management tools that use machine learning to detect abnormal behaviors, automate threat response ...

Developed as part of the Udemy Innovation Studio, this new tool allows organizations to access targeted learning within AI-powered applications and systems they’re already using, such as Claude ...

The experimental results demonstrated that the use of the AdaBoost algorithm from machine learning for the mobile ultrasonic stratified flow velocity measurement device was feasible and effective.

In this work, we demonstrate the machine learning-driven optimization of a photoredox tertiary amine synthesis with six continuous variables (e.g., concentration, temperature, residence time) and ...

The integration of machine learning with emergency management can substantially enhance operational efficiency. This paper explores the application research of machine learning in emergency management ...

Controlling machine learning in a finance environment requires stakeholders' commitment to creating a strong ethical foundation.

Artificial Intelligence (AI) and Machine Learning (ML) are increasingly integral to database management, driving new levels of automation and intelligence in how data systems are administered ...

These systems integrate advanced technologies such as artificial intelligence, machine learning, and natural language processing to automate the management of structured and unstructured data across ...

Artificial Intelligence and Machine Learning Artificial intelligence (AI) and machine learning (ML) are transforming inventory management and supply chain optimization.