2 citations · 6 across the 8 of their papers we have counts for
8 papers
Mitigating shortage of labeled data using clustering-based active learning with diversity exploration
Xuyang Yan, Shabnam Nazmi, Biniam Gebru +4
In this paper, we proposed a new clustering-based active learning framework, namely Active Learning using a Clustering-based Sampling (ALCS), to address the shortage of labeled dat…
Salt Detection Using Segmentation of Seismic Image
Mrinmoy Sarkar
In this project, a state-of-the-art deep convolution neural network (DCNN) is presented to segment seismic images for salt detection below the earth's surface. Detection of salt lo…
DA-Net : Diverse & Adaptive Attention Convolutional Neural Network
Abenezer Girma, Abdollah Homaifar, M Nabil Mahmoud +2
Standard Convolutional Neural Network (CNN) designs rarely focus on the importance of explicitly capturing diverse features to enhance the network's performance. Instead, most exis…
A Supervised Feature Selection Method For Mixed-Type Data using Density-based Feature Clustering
Xuyang Yan, Mrinmoy Sarkar, Biniam Gebru +2
Feature selection methods are widely used to address the high computational overheads and curse of dimensionality in classifying high-dimensional data. Most conventional feature se…
A Framework for eVTOL Performance Evaluation in Urban Air Mobility Realm
Mrinmoy Sarkar, Xuyang Yan, Abenezer Girma +1
In this paper, we developed a generalized simulation framework for the evaluation of electric vertical takeoff and landing vehicles (eVTOLs) in the context of Unmanned Aircraft Sys…
A Clustering-based Framework for Classifying Data Streams
Xuyang Yan, Abdollah Homaifar, Mrinmoy Sarkar +2
The non-stationary nature of data streams strongly challenges traditional machine learning techniques. Although some solutions have been proposed to extend traditional machine lear…
Digital Controllers in Discrete and Continuous Time Domains for a Robot Arm Manipulator
Dhiman Chowdhury, Mrinmoy Sarkar
This paper articulates design and performance analysis of digital controllers in discrete and continuous time domains for a single-joint robot arm manipulator. The investigated rob…
Location Forensics Analysis Using ENF Sequences Extracted from Power and Audio Recordings
Dhiman Chowdhury, Mrinmoy Sarkar
Electrical network frequency (ENF) is the signature of a power distribution grid which represents the nominal frequency (50 or 60 Hz) of a power system network. Due to load variati…