Evaluation of Maestro, an extensible general-purpose data gathering and data classification platform

Article Energy & Fuels

Automated prediction system of household energy consumption in cities using web crawler and optimized artificial intelligence

Jui-Sheng Chou et al.

Summary: This study established an automated platform using machine learning and optimization methods to predict residential electricity demand in each city in Taiwan, generating an accurate and effective model. By providing monthly electricity consumption information through a web-based system, it helps power providers and government discuss policies and set energy use goals.

INTERNATIONAL JOURNAL OF ENERGY RESEARCH (2022)

添加到收藏夹

Article Computer Science, Information Systems

INTIME: A Machine Learning-Based Framework for Gathering and Leveraging Web Data to Cyber-Threat Intelligence

Paris Koloveas et al.

Summary: In today's world, technology has become deeply rooted and accessible through various devices and platforms, connecting stakeholders. The complexity of operating systems, device specificities, usage domains, and platform accessibility contributes to a challenging threat landscape. Keeping up with evolving cyber threats is difficult, requiring the collection and utilization of cyber threat intelligence. The inTIME framework, based on machine learning, provides a holistic view of cyber threat intelligence processes, enabling security analysts to easily identify, collect, analyze, and share intelligence from a variety of online sources.

ELECTRONICS (2021)

添加到收藏夹

Article Computer Science, Information Systems