Bidirectional RNN provides greater accuracy in prediction and is a powerful model in Deep Learning when dealing with sequence ...

ESG indices in emerging markets often lack long, transparent historical records, making them difficult to analyze with ...

A research team has developed a new hybrid artificial intelligence framework that can accurately estimate leaf nitrogen ...

ABSTRACT: Forecasting future expected returns out-of-sample is challenging due to some statistical characteristics, such as the stochastic and dynamic nature in the time series. Conventional machine ...

Federal Government has distributed over 1,000 Interactive Smart Boards, with accompanying teacher training, under the Digitalisation of Public Schools Initiative, a partnership between Universal Basic ...

Abstract: Graph Neural Networks (GNNs) have emerged as an effective approach for social recommender systems. GNNs excel at capturing the graph-structured semantic information within the collaborative ...

At-a-Glance: Machine learning optimizes directional drilling by predicting rock/BHA response and issuing steering and parameter setpoints that maximize ROP while constraining dogleg, tortuosity, and ...

Currently, pages feature a scroll-to-top button, making navigation from the bottom easier. To further improve user experience, we can introduce a bi-directional scroll button with these features: When ...

To get the most miles out of your tires, you should know what kind of tires your car comes equipped with. Sure, every tire comes with rubber tread, but not every tire features the same pattern or ...

In today’s high-demand energy sector, utilities and infrastructure developers face increasing pressure to deliver projects more quickly while minimizing disruption to the environment and surrounding ...