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Saptarshi Sengupta
Saptarshi Sengupta
Assistant Professor of Computer Science, San Jose State University
Подтвержден адрес электронной почты в домене sjsu.edu - Главная страница
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Процитировано
Процитировано
Год
Particle Swarm Optimization: A survey of historical and recent developments with hybridization perspectives
S Sengupta, S Basak, RA Peters
Machine Learning and Knowledge Extraction 1 (1), 157-191, 2018
5732018
A review of deep learning with special emphasis on architectures, applications and recent trends
S Sengupta, S Basak, P Saikia, S Paul, V Tsalavoutis, F Atiah, V Ravi, ...
Knowledge-Based Systems 194, 105596, 2020
4542020
Mechanisms for integrated feature normalization and remaining useful life estimation using lstms applied to hard-disks
S Basak, S Sengupta, A Dubey
2019 IEEE international conference on smart computing (SMARTCOMP), 208-216, 2019
452019
Data clustering using a hybrid of fuzzy c-means and quantum-behaved particle swarm optimization
S Sengupta, S Basak, RA Peters
2018 IEEE 8th Annual Computing and Communication Workshop and Conference …, 2018
402018
Supervised learning models for the preliminary detection of COVID-19 in patients using demographic and epidemiological parameters
A Pradhan, S Prabhu, K Chadaga, S Sengupta, G Nath
Information 13 (7), 330, 2022
322022
Predicting cervical cancer biopsy results using demographic and epidemiological parameters: A custom stacked ensemble machine learning approach
K Chadaga, S Prabhu, N Sampathila, R Chadaga, S KS, S Sengupta
Cogent Engineering 9 (1), 2143040, 2022
292022
Efficient design of high pass FIR filter using quantum-behaved particle swarm optimization with weighted mean best position
S Dhabal, S Sengupta
Proceedings of the 2015 Third International Conference on Computer …, 2015
292015
Benchmarking studies aimed at clustering and classification tasks using K-means, fuzzy C-means and evolutionary neural networks
A Pickens, S Sengupta
Machine Learning and Knowledge Extraction 3 (3), 695-719, 2021
202021
2d-3d facial image analysis for identification of facial features using machine learning algorithms with hyper-parameter optimization for forensics applications
G Sanil, K Prakash, S Prabhu, VC Nayak, S Sengupta
IEEE Access 11, 82521-82538, 2023
172023
Remaining useful life estimation of hard disk drives using bidirectional lstm networks
A Coursey, G Nath, S Prabhu, S Sengupta
2021 IEEE International Conference on Big Data (Big Data), 4832-4841, 2021
142021
Spatio-temporal AI inference engine for estimating hard disk reliability
S Basak, S Sengupta, SJ Wen, A Dubey
Pervasive and Mobile Computing 70, 101283, 2020
132020
An interactive web-based tool for predicting and exploring brain cancer survivability
G Nath, A Coursey, Y Li, S Prabhu, H Garg, SC Halder, S Sengupta
Healthcare Analytics 3, 100132, 2023
102023
Use of machine learning for early detection of knee osteoarthritis and quantifying effectiveness of treatment using force platform
AJ Prabhakar, S Prabhu, A Agrawal, S Banerjee, AM Joshua, YD Kamat, ...
Journal of Sensor and Actuator Networks 11 (3), 48, 2022
102022
Data-driven optimization of public transit schedule
S Basak, F Sun, S Sengupta, A Dubey
Big Data Analytics: 7th International Conference, BDA 2019, Ahmedabad, India …, 2019
102019
Computationally efficient low-pass FIR filter design using Cuckoo Search with adaptive Levy step size
S Sengupta, S Basak
2016 International Conference on Global Trends in Signal Processing …, 2016
92016
Incorporating a machine learning model into a Web-based administrative decision support tool for predicting workplace absenteeism
G Nath, Y Wang, A Coursey, KK Saha, S Prabhu, S Sengupta
Information 13 (7), 320, 2022
82022
Qdds: A novel quantum swarm algorithm inspired by a double dirac delta potential
S Sengupta, S Basak, RA Peters
2018 IEEE Symposium Series on Computational Intelligence (SSCI), 704-711, 2018
82018
Chaotic quantum double delta swarm algorithm using chebyshev maps: Theoretical foundations, performance analyses and convergence issues
S Sengupta, S Basak, RA Peters
Journal of Sensor and Actuator Networks 8 (1), 9, 2019
62019
A Review of Deep Learning with Special Emphasis on Architectures
S Sengupta, S Basak, P Saikia, S Paul, V Tsalavoutis, FD Atiah, V Ravi, ...
Applications and Recent Trends, 2019
62019
A data-driven prognostic architecture for online monitoring of hard disks using deep LSTM networks
S Basak, S Sengupta, A Dubey
Retrieved from Internet:(Year: 2018), 2018
62018
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