In recent years snake and insect attacks have become a huge problem worldwide. Most species have similar colors and shapes, which makes it hard to tell them apart using typical techniques. Similarly, identifying different ...

As the demand for deploying machine learning models on high-end mobile devices and IoT devices increases, the need for efficient machine learning model optimization becomes critical to execute on-device AI tasks. One of ...

The recent advancements in deep learning techniques and computational power have promoted the development of novel approaches for music generation. In this study, generating alapana, an improvisational form of Carnatic ...

Time Series (TS) forecasting has stagnated owing to algorithm restrictions, therefore systems developed using these methods can only perform so well. TS remains a challenge despite recent advances in Deep Learning (DL) in ...

Although numerous open-source tools exist for machine learning with tabular data, there is a scarcity of comparable resources tailored specifically for NLP. The lack of transparency in the inner workings of existing AutoNLP ...

The accurate and timely diagnosis of animal diseases is essential for the health and well-being of animals, as well as for the prevention and control of disease outbreaks. One important aspect of disease diagnosis is the ...