Participating in the “Psychopathy Prediction Based on Twitter Usage” competition gave him confidence to go big. During the course of this competition, he found out a simple but effective tricks such as fitting Random Forests model when many features had missing values, pre-processing data, and ...
The Madden Julian Oscillation (MJO), the dominant subseasonal variability in the tropics, is widely represented using the Real-time Multivariate MJO (RMM) index. The index is limited to the satellite era (post-1974) as its calculation relies on satellite-based observations. Oliver and Thompson (...
In an era marked by growing global population and climate variability, ensuring food security has become a paramount concern. Rice, being a staple crop for billions of people, requires accurate and timely yield prediction to ensure global food security. This study was undertaken across two rice cr...
This paper points out the potential challenges and limitations of machine learning in landslides prevention and proffers several strategies that have been utilized in other research domains to overcome or circumvent them. Moreover, this paper discusses the opportunity for the emergence of challenges, su...
In an era marked by growing global population and climate variability, ensuring food security has become a paramount concern. Rice, being a staple crop for billions of people, requires accurate and timely yield prediction to ensure global food security.
Currently, a few investigators are developing AI models to predict irrigation water quality index (IWQI). The groundwater quality for drinking purposes was assessed using statistical index of Akola and Buldhana districts, Maharashtra, India (Pande et al.,2020), also by using radial basic function...