Pranesh Das
Assistant Professor, Department of Computer Science and Engineering, NIT Calicut, India
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2023
Ghosh, R, Phadikar S, Deb N, Sinha N, Das P, Ghaderpour E.
2023.
Automatic Eye-blink and Muscular Artifact Detection and Removal from EEG Signals using k-Nearest Neighbour Classifier and Long Short-Term Memory Networks
.
IEEE Sensors Journal.
Dev, PP, Das P, Hazari R.
2023.
MSDeepNet: A novel multi-stream deep neural network for real-world anomaly detection in surveillance videos
.
DeLTA2023 (Accepted). , Rome, Italy
Runad, K, Pranesh D, S N.
2023.
SCEOMOO: A novel Subspace Clustering approach using Evolutionary algorithm, Off-spring generation and Multi-Objective Optimization
.
Applied soft computing, Elsevier.
Amal, F, Arjun BJ, Jaideep Kumar P, Pranesh D.
2023.
Statistically Aided Binary Multi-Objective Grey Wolf Optimizer: A New Feature Selection Approach for Classification
.
Journal of supercomputing, springer.
2022
Shreya, S, Pranesh D, Binu JA.
2022.
A new framework for disease prediction: Using dimensionality reduction and feature selection
.
Soft Computing Theories and Applications (Accepted).
2021
Binu Jose, A, Pranesh D.
2021.
A multi-objective approach for inter-cluster and intra-cluster distance analysis for Numeric Data
.
Soft Computing Theories and Applications .
Ghosh, R, Deb N, Sengupta K, Phukan A, Choudhury N, Kashyap S, Phadikar S, Saha R, Das P, Sinha N, Dutta P.
2021.
SAM 40: Dataset of 40 Subject EEG Recordings to Monitor the Induced-Stress while performing Stroop Color-Word Test, Arithmetic Task, and Mirror Image Recognition Task
.
Data in Brief, Elsevier.
2020
Saha, R, Biswas S, Sarmah S, Das P, Karmakar S.
2020.
Design and implementation of routing algorithm to enhance network lifetime in wban
.
Wireless Personal Communications, Springer.
Saha, R, Biswas S, Sarmah S, Karmakar S, Das P.
2020.
A working prototype using DS18B20 temperature sensor and Arduino for health monitoring
.
SN Computer Science, Springer.
2018
Das, P, Das DK, Dey S.
2018.
A modified Bee Colony Optimization (MBCO) and its hybridization with k-means for an application to data clustering
.
Applied Soft Computing. 70:590–603.: Elsevier
Abstract
n/a
Das, P, Das DK, Dey S.
2018.
A new class topper optimization algorithm with an application to data clustering
.
IEEE Transactions on Emerging Topics in Computing. : IEEE
Abstract
n/a
2017
Das, P, Das DK, Dey S.
2017.
A Multi-objective Modified Particle Swarm Optimization (MMPSO) technique with an application to data clustering
.
2017 14th IEEE India Council International Conference (INDICON). :1–6.: IEEE
Abstract
n/a
Das, P, Das DK, Dey S.
2017.
PSO, BCO and K-means Based Hybridized Optimization Algorithms for Data Clustering
.
2017 International Conference on Information Technology (ICIT). :252–257.: IEEE
Abstract
n/a
2013
Das, P, Khilar PM.
2013.
VFT: A virtualization and fault tolerance approach for cloud computing
.
2013 IEEE Conference on Information & Communication Technologies. :473–478.: IEEE
Abstract
n/a
Das, P.
2013.
Virtualization and fault tolerance in cloud computing
.
Abstract
n/a