Search Results for author:
Found 2 papers, 1 papers with code
Analyzing the Impact of Climate Change With Major Emphasis on Pollution: A Comparative Study of ML and Statistical Models in Time Series Data
Industrial operations have grown exponentially over the last century, driving advancements in energy utilization through vehicles and machinery. This growth has significant environmental implications, necessitating the use of sophisticated technology to monitor and analyze climate data. The surge in industrial activities presents a complex challenge in forecasting its diverse environmental impacts, which vary greatly across different regions. Aim to understand these dynamics more deeply to predict and mitigate the environmental impacts of industrial activities.
Deep Learning Driven Natural Languages Text to SQL Query Conversion: A Survey
Even if numerous deep learning-based algorithms are proposed or studied, there still is very challenging to have a generic model to solve the data query issues using natural language in a real-work scenario.
