article-journal

Federated quanvolutional neural network: a new paradigm for collaborative quantum learning
In recent years, the concept of federated machine learning has been actively driven by scientists to ease the privacy concerns of data …
Amandeep Singh Bhatia, Sabre Kais, Muhammad Ashraful Alam
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Federated quanvolutional neural network: a new paradigm for collaborative quantum learning
Quantum Machine Learning Predicting ADME-Tox Properties in Drug Discovery
In the drug discovery paradigm, the evaluation of absorption, distribution, metabolism, and excretion (ADME) and toxicity properties of …
Amandeep Singh Bhatia, Mandeep Kaur Saggi, Sabre Kais
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Quantum Machine Learning Predicting ADME-Tox Properties in Drug Discovery
Benchmarking the performance of portfolio optimization with QAOA
We present a detailed study of portfolio optimization using different versions of the quantum approximate optimization algorithm …
Sebastian Brandhofer, Daniel Braun, Vanessa Dehn, Gerhard Hellstern, Matthias Hüls, Yanjun Ji, Ilia Polian, Amandeep Singh Bhatia, Thomas Wellens
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Benchmarking the performance of portfolio optimization with QAOA
Cyanobacteria blue-green algae prediction enhancement using hybrid machine learning–based gamma test variable selection and empirical wavelet transform
This study aims to evaluate the usefulness and effectiveness of four machine learning (ML) models for modelling cyanobacteria …
Salim Heddam, Zaher Mundher Yaseen, Mayadah W Falah, Leonardo Goliatt, Mou Leong Tan, Zulfaqar Saadi, Iman Ahmadianfar, Mandeep Kaur Saggi, Amandeep Singh Bhatia, Pijush Samui
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Cyanobacteria blue-green algae prediction enhancement using hybrid machine learning–based gamma test variable selection and empirical wavelet transform
Deep learning versus gradient boosting machine for pan evaporation prediction
In the present study, two innovative techniques namely, Deep Learning (DL) and Gradient boosting Machine (GBM) models are developed …
Anurag Malik, Mandeep Kaur Saggi, Sufia Rehman, Haroon Sajjad, Samed Inyurt, Amandeep Singh Bhatia, Aitazaz Ahsan Farooque, Atheer Y Oudah, Zaher Mundher Yaseen
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Deep learning versus gradient boosting machine for pan evaporation prediction
Proposition of new ensemble data-intelligence model for evapotranspiration process simulation
Due to climatic change, a variation in meteorological aspects influences the water requirement for crops, evapotranspiration, and water …
Mandeep Kaur Saggi, Sushma Jain, Amandeep Singh Bhatia, Rakesh Sharda
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Proposition of new ensemble data-intelligence model for evapotranspiration process simulation
Variational quantum classifiers through the lens of the Hessian
In quantum computing, the variational quantum algorithms (VQAs) are well suited for finding optimal combinations of things in specific …
Pinaki Sen, Amandeep Singh Bhatia, Kamalpreet Singh Bhangu, Ahmed Elbeltagi
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Variational quantum classifiers through the lens of the Hessian
QPSO-CD: quantum-behaved particle swarm optimization algorithm with Cauchy distribution
Motivated by the particle swarm optimization (PSO) and quantum computing theory, we have presented a quantum variant of PSO (QPSO) …
Amandeep Singh Bhatia, Mandeep Kaur Saggi, Shenggen Zheng
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QPSO-CD: quantum-behaved particle swarm optimization algorithm with Cauchy distribution
A Quantum Finite Automata Approach to Modeling the Chemical Reactions
In recent years, the modeling interest has increased significantly from molecular level to atomic and quantum levels. Computational …
Amandeep Singh Bhatia, Shenggen Zheng
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A Quantum Finite Automata Approach to Modeling the Chemical Reactions
Deep learning under H2O framework: A novel approach for quantitative analysis of discharge coefficient in sluice gates
Gates in dams and irrigation canals have been used for the purpose of controlling discharge or water surface regulation. To compute the …
Mohammad Ali Ghorbani, Farzin Salmasi, Mandeep Kaur Saggi, Amandeep Singh Bhatia, Ercan Kahya, Reza Norouzi
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Deep learning under H2O framework: A novel approach for quantitative analysis of discharge coefficient in sluice gates