most citedA Review of Deep Learning with Special Emphasis on Architectures, Applications and Recent Trends

1 citations · 1 across the 1 of their papers we have counts for

collaborators

6 papers

cs.NE2019

Data-Driven Optimization of Public Transit Schedule

Sanchita Basak, Fangzhou Sun, Saptarshi Sengupta +1

Bus transit systems are the backbone of public transportation in the United States. An important indicator of the quality of service in such infrastructures is on-time performance…

cs.LG20191 cited

A Review of Deep Learning with Special Emphasis on Architectures, Applications and Recent Trends

Saptarshi Sengupta, Sanchita Basak, Pallabi Saikia +5

Deep learning has solved a problem that as little as five years ago was thought by many to be intractable - the automatic recognition of patterns in data; and it can do so with acc…

cs.NE2018

Chaotic Quantum Double Delta Swarm Algorithm using Chebyshev Maps: Theoretical Foundations, Performance Analyses and Convergence Issues

Saptarshi Sengupta, Sanchita Basak, Richard Alan Peters

Quantum Double Delta Swarm (QDDS) Algorithm is a new metaheuristic algorithm inspired by the convergence mechanism to the center of potential generated within a single well of a sp…

cs.LG2018

Mechanisms for Integrated Feature Normalization and Remaining Useful Life Estimation Using LSTMs Applied to Hard-Disks

Sanchita Basak, Saptarshi Sengupta, Abhishek Dubey

With emerging smart communities, improving overall system availability is becoming a major concern. In order to improve the reliability of the components in a system we propose an…

cs.MA2018

QDDS: A Novel Quantum Swarm Algorithm Inspired by a Double Dirac Delta Potential

Saptarshi Sengupta, Sanchita Basak, Richard Alan Peters

In this paper a novel Quantum Double Delta Swarm (QDDS) algorithm modeled after the mechanism of convergence to the center of attractive potential field generated within a single w…

cs.NE2018

Particle Swarm Optimization: A survey of historical and recent developments with hybridization perspectives

Saptarshi Sengupta, Sanchita Basak, Richard Alan Peters

Particle Swarm Optimization (PSO) is a metaheuristic global optimization paradigm that has gained prominence in the last two decades due to its ease of application in unsupervised,…