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
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
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
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), 5, 2021
Line spectral frequency-based features and extreme learning machine for voice activity detection from audio signal
H Mukherjee, SM Obaidullah, KC Santosh, S Phadikar, K Roy
International Journal of Speech Technology 21, 753-760, 2018
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: Proceedings …, 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: DoSIER 2019, 61-69, 2020
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
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
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, 8483-8501, 2019
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), 57-64, 2018
Writer identification from handwritten Devanagari script
C Halder, K Thakur, S Phadikar, K Roy
Information Systems Design and Intelligent Applications: Proceedings of …, 2015
A novel plant disease prediction model based on thermal images using modified deep convolutional neural network
I Bhakta, S Phadikar, K Majumder, H Mukherjee, A Sau
Precision Agriculture 24 (1), 23-39, 2023
Automatic generation of fill‐in‐the‐blank question with corpus‐based distractors for e‐assessment to enhance learning
B Das, M Majumder, S Phadikar, AA Sekh
Computer Applications in Engineering Education 27 (6), 1485-1495, 2019
Automatic question generation and answer assessment for subjective examination
B Das, M Majumder, AA Sekh, S Phadikar
Cognitive systems research 72, 14-22, 2022
Multiple-choice question generation with auto-generated distractors for computer-assisted educational assessment
B Das, M Majumder, S Phadikar, AA Sekh
Multimedia Tools and Applications 80 (21), 31907-31925, 2021
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