1 code implementation • 28 Aug 2023 • Farina Riaz, Shahab Abdulla, Hajime Suzuki, Srinjoy Ganguly, Ravinesh C. Deo, Susan Hopkins
Similar to our previous multi-class classification results, the application of QPF improved the binary image classification accuracy using neural network against MNIST, EMNIST, and CIFAR-10 from 98. 9% to 99. 2%, 97. 8% to 98. 3%, and 71. 2% to 76. 1%, respectively, but degraded it against GTSRB from 93. 5% to 92. 0%.
1 code implementation • 22 Aug 2023 • Farina Riaz, Shahab Abdulla, Hajime Suzuki, Srinjoy Ganguly, Ravinesh C. Deo, Susan Hopkins
This paper proposes a novel quantum pre-processing filter (QPF) to improve the image classification accuracy of neural network (NN) models.
no code implementations • 30 May 2023 • Srinjoy Ganguly, Sai Nandan Morapakula, Luis Miguel Pozo Coronado
Sentiment classification is one the best use case of classical natural language processing (NLP) where we can witness its power in various daily life domains such as banking, business and marketing industry.
no code implementations • 27 Apr 2023 • Sanjay Vishwakarma, Srinjoy Ganguly
The Naive Bayesian classifier is a popular classification method employing the Bayesian paradigm.
no code implementations • 15 Dec 2022 • Prateek Jain, Srinjoy Ganguly
In molecular research, simulation \& design of molecules are key areas with significant implications for drug development, material science, and other fields.
no code implementations • 15 Nov 2022 • Hasan Mustafa, Sai Nandan Morapakula, Prateek Jain, Srinjoy Ganguly
A moderate protein has about 100 amino acids, and the number of combinations one needs to verify to find the stable structure is enormous.
no code implementations • 14 Dec 2013 • Srinjoy Ganguly, Digbalay Bose, Amit Konar
We also examine the efficacy of the proposed scheme by analyzing its performance on image segmentation examples and comparing it with the classical Fuzzy C-means clustering algorithm.