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: Accurate classification of satellite imagery is critical for land cover analysis, environmental monitoring, and geospatial decision-making. This research presents a robust deep ...

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 ...

Electricity rates for individuals and small businesses could rise sharply as Amazon, Google, Microsoft and other technology companies build data centers and expand into the energy business. A ...

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 ...