CNN and random forest model to detect multiple faults in bifacial PV systems, including dust, shading, aging, and cracks. Using simulated I-V curves and a 180-day synthetic dataset, the model achieved ...
Demand forecasting remains one of the most complex challenges in retail management. As consumer behavior evolves rapidly, ...
A new study shows that feeding large language models low-quality, high-engagement content from social media lowers their ...
Cohere's former VP of AI research, Sara Hooker, is launching a new startup to build AI models that can adapt to their ...
A comprehensive framework integrates statistical modeling, machine learning, and simulation to optimize urban traffic forecasting, capacity evaluation, and safety design. By combining predictive ...
Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, ...
I have come across various ways of defining Artificial Neural Networks (ANNs). Many of them miss a fundamental characteristic ...
Abstract: Wild fire is a serious environmental and socioeconomic menace and therefore any effort aimed at the early and accurate detection of wild fire has to be very useful. This paper proposes a ...
The study departs from conventional mean-based economic forecasting by focusing on quantile prediction, a technique that ...
Goldman Sachs posts strong Q3 results, driven by dealmaking and wealth management, but valuation concerns remain. Read why GS ...
If you want a structured and efficient way to prepare, the AWS ML Associate Exam Dump and AWS Machine Learning Sample Questions are designed to reinforce your knowledge through repetition and applied ...
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