The number of people using mobile devices increasing day by day. SMS (short message service) is a text message service available in smartphones as well as basic phones. So, the traffic of SMS ...

Predicting Cyberbullying on Social Media in the Big Data Era Using Machine Learning Algorithms: Review of Literature and Open Challenges Abstract: Prior to the innovation of information communication ...

Type 2 diabetes mellitus (DM) is a chronic condition whose prevalence has been gradually growing across the world. About 30 million people in India have Diabetes, and are many more at risk. Therefore, ...

Agriculture and its allied sectors are undoubtedly the largest providers of livelihoods in rural India. The agriculture sector is also a significant contributor factor to the country's Gross Domestic ...

Advances in artificial intelligence, Machine Learning (ML), and cloud computing have revitalized research and applications in this domain. While ML and data mining techniques are popular in fraud ...

Deep neural system has been succeeded in solving recent complex problems in AI, image processing, and natural language processing. In recommendation system innovation, deep learning is an enormous ...

The deteriorating quality of natural water resources like lakes, streams and estuaries, is one of the direst and most worrisome issues faced by humanity. The effects of un-clean water are far-reaching ...

Predicting Water Quality Parameters Using Machine Learning The growing worldwide emphasis on dealing with water quality is giving rise to a widespread research and expanding market for novel and ...

Dr Koneti Nageswara Rao, a native of Indukurpet village in Andhra Pradesh, grew up surrounded by fields, nature, and the hushed company of birds.

This paper focuses on the data-driven diagnosis of polycystic ovary syndrome (PCOS) in women. For this, machine learning algorithms are applied to a dataset freely available in Kaggle repository. This ...

New Delhi: As the global economy transitions to data-driven decision-making, the demand for data science and machine learning professionals has surged.