Abstract: Accurate forecasting of power usage is critical to manage energy efficiently, reduce costs, and improve grid stability. In the existing literature, there are machine learning and statistical ...
AI-powered greenhouse systems now integrate predictive analytics, IoT sensors, and deep learning to fine-tune temperature, humidity, and CO₂, improving energy efficiency and plant growth. Studies show ...
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How AI is changing the way we learn music
Artificial intelligence is reshaping music education, from personalized feedback tools to deep learning-powered curriculum systems. Educators, students, and industry leaders are exploring how ...
ABSTRACT: Forecasting fuel prices is a critical endeavor in energy economics, with significant implications for policy formulation, market regulation, and consumer decision-making. This study ...
Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. In contrast, data-driven methods do not rely on fixed models or ...
Abstract: In this paper, we propose an option-based deep reinforcement learning (DRL) algorithm called option-critic with long short-term memory (OC-LSTM), which combines the option-critic (OC) ...
With the rapid development of Industrial Internet of Things (IIoT) technology, various IIoT devices are generating large amounts of industrial sensor data that are spatiotemporally correlated and ...
Adam Satariano and Roser Toll Pifarre interviewed more than 50 victims, families, police, government officials and other experts about Spain’s gender violence program. In a small apartment outside ...
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