38 citations · 65 across the 8 of their papers we have counts for
9 papers
Parts of Speech Tagging in NLP: Runtime Optimization with Quantum Formulation and ZX Calculus
Arit Kumar Bishwas, Ashish Mani, Vasile Palade
This paper proposes an optimized formulation of the parts of speech tagging in Natural Language Processing with a quantum computing approach and further demonstrates the quantum ga…
An Investigation of Quantum Deep Clustering Framework with Quantum Deep SVM & Convolutional Neural Network Feature Extractor
Arit Kumar Bishwas, Ashish Mani, Vasile Palade
In this paper, we have proposed a deep quantum SVM formulation, and further demonstrated a quantum-clustering framework based on the quantum deep SVM formulation, deep convolutiona…
An Investigation on Support Vector Clustering for Big Data in Quantum Paradigm
Arit Kumar Bishwas, Ashish Mani, Vasile Palade
The support vector clustering algorithm is a well-known clustering algorithm based on support vector machines using Gaussian or polynomial kernels. The classical support vector clu…
Efficient Clear Air Turbulence Avoidance Algorithms using IoT for Commercial Aviation
Amlan Chatterjee, Hugo Flores, Bin Tang +2
With the growth of commercial aviation over the last few decades there have been many applications designed to improve the efficiency of flight operations as well as safety and sec…
Gaussian Kernel in Quantum Learning
Arit Kumar Bishwas, Ashish Mani, Vasile Palade
The Gaussian kernel is a very popular kernel function used in many machine learning algorithms, especially in support vector machines (SVMs). It is more often used than polynomial…
An All-Pair Quantum SVM Approach for Big Data Multiclass Classification
Arit Kumar Bishwas, Ashish Mani, Vasile Palade
In this paper, we have discussed a quantum approach for the all-pair multiclass classification problem. We have shown that the multiclass support vector machine for big data classi…