Dr. Santanu phadikar
Dr. Santanu phadikar
Associate Professor of Computer Science & Engineering, West Bengal University of Technology
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Cited by
Cited by
Rice disease identification using pattern recognition techniques
S Phadikar, J Sil
2008 11th International Conference on Computer and Information Technology …, 2008
Rice diseases classification using feature selection and rule generation techniques
S Phadikar, J Sil, AK Das
Computers and electronics in agriculture 90, 76-85, 2013
Classification of rice leaf diseases based on morphological changes
S Phadikar, J Sil, AK Das
International Journal of Information and Electronics Engineering 2 (3), 460-463, 2012
Multi-objective optimization technique for resource allocation and task scheduling in vehicular cloud architecture: A hybrid adaptive nature inspired approach
S Midya, A Roy, K Majumder, S Phadikar
Journal of Network and Computer Applications 103, 58-84, 2018
State‐of‐the‐art technologies in precision agriculture: a systematic review
I Bhakta, S Phadikar, K Majumder
Journal of the Science of Food and Agriculture 99 (11), 4878-4888, 2019
Line spectral frequency-based features and extreme learning machine for voice activity detection from audio signal
H Mukherjee, S Obaidullah, KC Santosh, S Phadikar, K Roy
International Journal of Speech Technology 21 (4), 753-760, 2018
Optimized secondary user selection for quality of service enhancement of two-tier multi-user cognitive radio network: a game theoretic approach
A Roy, S Midya, K Majumder, S Phadikar, A Dasgupta
Computer Networks 123, 1-18, 2017
A lazy learning-based language identification from speech using MFCC-2 features
H Mukherjee, SM Obaidullah, KC Santosh, S Phadikar, K Roy
International Journal of Machine Learning and Cybernetics 11 (1), 1-14, 2020
CS-PSO based intrusion detection system in cloud environment
P Ghosh, A Karmakar, J Sharma, S Phadikar
Emerging Technologies in Data Mining and Information Security, 261-269, 2019
Vegetation indices based segmentation for automatic classification of brown spot and blast diseases of rice
S Phadikar, J Goswami
2016 3rd International Conference on Recent Advances in Information …, 2016
A deep learning approach for the classification of rice leaf diseases
S Bhattacharya, A Mukherjee, S Phadikar
Intelligence enabled research, 61-69, 2020
A novel system for generating simple sentences from complex and compound sentences
B Das, M Majumder, S Phadikar
International Journal of Modern Education and Computer Science 11 (1), 57, 2018
Detection of DDoS attack and classification using a hybrid approach
S Nandi, S Phadikar, K Majumder
2020 Third ISEA Conference on Security and Privacy (ISEA-ISAP), 41-47, 2020
Deep learning for spoken language identification: Can we visualize speech signal patterns?
H Mukherjee, S Ghosh, S Sen, O Sk Md, KC Santosh, S Phadikar, K Roy
Neural Computing and Applications 31 (12), 8483-8501, 2019
MISNA-A musical instrument segregation system from noisy audio with LPCC-S features and extreme learning
H Mukherjee, SM Obaidullah, S Phadikar, K Roy
Multimedia Tools and Applications 77 (21), 27997-28022, 2018
Writer identification from handwritten Devanagari script
C Halder, K Thakur, S Phadikar, K Roy
Information Systems Design and Intelligent Applications, 497-505, 2015
Automatic question generation and answer assessment: a survey
B Das, M Majumder, S Phadikar, AA Sekh
Research and Practice in Technology Enhanced Learning 16 (1), 1-15, 2021
REARC-a Bangla Phoneme recognizer
H Mukherjee, S Phadikar, P Rakshit, K Roy
2016 International Conference on Accessibility to Digital World (ICADW), 177-180, 2016
Feature selection by attribute clustering of infected rice plant images
S Phdikar, J Sil, A Das
International journal of Machine intelligence 3 (2), 74-88, 2011
An ensemble learning-based language identification system
H Mukherjee, S Das, A Dhar, S Obaidullah, KC Santosh, S Phadikar, ...
Computational Advancement in Communication Circuits and Systems, 129-138, 2020
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