Browsing by Author "Chaudhury, Bhaskar"
Now showing items 1-6 of 6
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Anomalies Detection in Radon Time Series for Earthquake Prediction Using Machine Learning Techniques
Gorasiya, Raghav (Dhirubhai Ambani Institute of Information and Communication Technology, 2023)Radioactive soil and water radon gas emission is a significant precursor to earthquakes.The meteorological parameters such as temperature, pressure, humidity,rainfall, and windspeed influence the radon gas emission from ... -
Computational and Data Driven Approaches for Investigation of Microwave-Plasma Interaction
Ghosh, Pratik (Dhirubhai Ambani Institute of Information and Communication Technology, 2023)Microwave-plasma interaction and High power microwave (HPM)breakdown involving plasma formation have been studied theoreticallyas well as experimentally since the 1950s for a wide variety of applications.Microwave plasma ... -
Computational investigation of patch antennas in plasma environment
Vyas, Hardik (Dhirubhai Ambani Institute of Information and Communication Technology, 2016)Microstrip antennas are extensively used in spacecraft systems and other applicationswhere they encounter a plasma environment. A detailed computationalinvestigation of change in antenna radiation properties in the presence ... -
Investigation of plasma transport across magnetic filter in low temperature plasmas using 2D-3V PIC-MCC simulations: application to negative ion sources
Shah, Miral (Dhirubhai Ambani Institute of Information and Communication Technology, 2022)The LTP (hydrogen) based negative ion source plays an important role inthe neutral beam injection system - one of the primary means of plasmaheating in magnetic fusion. In this thesis, we have performed PIC-MCCbased ... -
Modeling performance and power matrix of disparate computer systems using machine learning techniques (Modeling Compiler Systems Selection)
Mankodi, Amit (Dhirubhai Ambani Institute of Information and Communication Technology, 2022)In the last couple of decades, there has been an exponential growth in the processor, cache, and memory features of computer systems. These hardware features play a vital role in determining the performance and power of a ... -
Modeling performance and power matrix of disparate computer systems using machine learning techniques (Modeling Compiler Systems Selection)
Mankodi, Amit (Dhirubhai Ambani Institute of Information and Communication Technology, 2022)In the last couple of decades, there has been an exponential growth in the processor,cache, and memory features of computer systems. These hardware featuresplay a vital role in determining the performance and power of a ...