Computer Science and Engineering

Deep learning and Reinforcement learning: New algorithms with improved interpretability, scalability, reliability and efficiency

Machine Learning (ML) methods are data driven approach to solving artificial intelligence (AI) tasks, and rest on the concept of learning and generalisation. Learning is the use data to learn a functional relationship (also known as the model) between the input and the output and generalisation is the ability of learnt model to perform well on unseen data. Recent times have witnessed two important ground breaking paradigm shifts happening in AI/ML.

ZIGBEE based wireless sensor network for landslide

Landslide also known as a landslip, is a geological phenomenon that includes a wide range of ground movements such as rock falls, deep failure of slopes and shallow debris flows. Landslides in lndia, especially in the North-East regions, are caused due to slope failures which occur due to heavy rainfall. Thus, in order to protect people and livestock, and reduce damage to infrastructure, there is need for a robust cost-effective real-time monitoring system that can forecast slope failures.