1 citations · 1 across the 7 of their papers we have counts for
12 papers
Using U-Net Network for Efficient Brain Tumor Segmentation in MRI Images
Jason Walsh, Alice Othmani, Mayank Jain +1
Magnetic Resonance Imaging (MRI) is the most commonly used non-intrusive technique for medical image acquisition. Brain tumor segmentation is the process of algorithmically identif…
LAMSkyCam: A Low-cost and Miniature Ground-based Sky Camera
Mayank Jain, Vishal Singh Sengar, Isabella Gollini +3
Ground-based sky imagers (GSIs) are increasingly becoming popular amongst the remote sensing analysts. This is because such imagers offer fantastic alternatives to satellite measur…
Analyzing Air Pollutant Concentrations in New Delhi, India
Bugra Alparslan, Mayank Jain, Jiantao Wu +1
Air pollutants have long been known to cause major health problems across humans and all living organisms. Apart from that, they also play a crucial role in temperature inversion s…
On the Relationship Between Ground- and Satellite- Based Global Horizontal Irradiance
Mayank Jain, Deepak Joel Yericherla, Soumyabrata Dev
Global horizontal irradiance (GHI) plays a significant role in maintaining the earth's ecological balance and generating electricity in photovoltaic systems. While the satellites h…
Monitoring Atmospheric Pollutants From Ground-based Observations
Nicholas Danesi, Mayank Jain, Yee Hui Lee +1
Remote sensing analysts continuously monitor the amount of pollutants in the atmosphere. They are usually performed via satellite images. However, these images suffer from low temp…
Detecting Blurred Ground-based Sky/Cloud Images
Mayank Jain, Navya Jain, Yee Hui Lee +2
Ground-based whole sky imagers (WSIs) are being used by researchers in various fields to study the atmospheric events. These ground-based sky cameras capture visible-light images o…
Impact of Load Demand Dataset Characteristics on Clustering Validation Indices
Mayank Jain, Mukta Jain, Tarek AlSkaif +1
With the inclusion of smart meters, electricity load consumption data can be fetched for individual consumer buildings at high temporal resolutions. Availability of such data has m…
An Extremely-low Cost Ground-Based Whole Sky Imager
Mayank Jain, Isabella Gollini, Michela Bertolotto +2
Ground-based Whole Sky Imagers (WSIs) are increasingly being used for various remote sensing applications. While the fundamental requirements of a WSI are to make it climate-proof…
Using GANs to Augment Data for Cloud Image Segmentation Task
Mayank Jain, Conor Meegan, Soumyabrata Dev
While cloud/sky image segmentation has extensive real-world applications, a large amount of labelled data is needed to train a highly accurate models to perform the task. Scarcity…
A Clustering Framework for Residential Electric Demand Profiles
Mayank Jain, Tarek AlSkaif, Soumyabrata Dev
The availability of residential electric demand profiles data, enabled by the large-scale deployment of smart metering infrastructure, has made it possible to perform more accurate…
Validating Clustering Frameworks for Electric Load Demand Profiles
Mayank Jain, Tarek AlSkaif, Soumyabrata Dev
Large-scale deployment of smart meters has made it possible to collect sufficient and high-resolution data of residential electric demand profiles. Clustering analysis of these pro…
Forecasting Precipitable Water Vapor Using LSTMs
Mayank Jain, Shilpa Manandhar, Yee Hui Lee +2
Long-Short-Term-Memory (LSTM) networks have been used extensively for time series forecasting in recent years due to their ability of learning patterns over different periods of ti…