Abstract: To tackle the challenge of data diversity in sentiment analysis and improve the accuracy and generalization ability of sentiment analysis, this study first cleans, denoises, and standardizes ...

Abstract: The way we handle spatial data has changed significantly as a result of the integration of machine learning with geospatial data. Machine Learning techniques increase the accuracy, efficacy, ...

The energy sector is transforming in unprecedented proportions. With growing demands for electricity, the ongoing shift toward renewable sources and increasing regulatory and sustainability pressures, ...

There is a story behind every market. Some are told through numbers, and some are told through places. A new store that does better than expected. A city where adoption rates go up overnight. A ...

In today’s data-rich environment, business are always looking for a way to capitalize on available data for new insights and increased efficiencies. Given the escalating volumes of data and the ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. In recent AI-driven disease diagnosis, the success of models has depended mainly on ...

According to Google DeepMind, their new AI model leverages sophisticated embeddings—unique numerical identifiers—to learn and differentiate global geographic features by analyzing multi-modal data ...

Open the Planetary Computer data catalog and you will find all kinds of useful data: from decades’ worth of satellite imagery to biomass maps, from the US Census to fire data. All together, there are ...

Introduction: Recent advances in artificial intelligence have transformed the way we analyze complex environmental data. However, high-dimensionality, spatiotemporal variability, and heterogeneous ...

Preparations are ongoing at the National Geospatial-Intelligence Agency for the rollout of generative artificial intelligence to address human analysis limitations amid the growing geospatial data ...

The rapid evolution of railway systems, driven by digitization and the proliferation of Internet-of-Things (IoT) devices, has resulted in an unprecedented volume of diverse and complex data. This ...