S
Santanu Phadikar
Researcher at Islamic Azad University
Publications - 94
Citations - 1173
Santanu Phadikar is an academic researcher from Islamic Azad University. The author has contributed to research in topics: Cloud computing & Mel-frequency cepstrum. The author has an hindex of 11, co-authored 85 publications receiving 762 citations. Previous affiliations of Santanu Phadikar include West Bengal University of Technology.
Papers
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Proceedings ArticleDOI
Rice disease identification using pattern recognition techniques
Santanu Phadikar,Jaya Sil +1 more
TL;DR: A software prototype system for rice disease detection based on the infected images of various rice plants is described, which is both image processing and soft computing technique applied on number of diseased rice plants.
Journal ArticleDOI
Rice diseases classification using feature selection and rule generation techniques
TL;DR: A rule base classifier has been built that cover all the diseased rice plant images and provides superior result compare to traditional classifiers.
Journal ArticleDOI
Multi-objective optimization technique for resource allocation and task scheduling in vehicular cloud architecture
TL;DR: An optimized resource allocation and task scheduling algorithm is developed to efficiently serve huge number of task requests arriving from on road users, while maintaining improved Quality of Service.
Journal ArticleDOI
State-of-the-art technologies in precision agriculture: a systematic review.
TL;DR: This analysis results in a significant understanding about the present knowledge gap and identification of the potential future research opportunities for sustainable agronomy.
Journal ArticleDOI
Line spectral frequency-based features and extreme learning machine for voice activity detection from audio signal
TL;DR: A VAD technique is presented that uses line spectral frequency-based statistical features namely LSF-S coupled with extreme learning-based classification that helps in reducing the computational overhead as well elevate the recognition performance of speech-based systems.