Search Results - "Mazumder, Debarshi"

Multi Resolution based Graph Convolutional Networks for Detecting Communities in Social Networks by Harsha, P., Obaid, Saif, Mazumder, Debarshi, Nagendar, Y., Almoussawi, Zainab Abed

“…Detecting the fundamental community structure of a social network is crucial in social network analysis. All though, there are many recent approaches in…”
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A Short-Term Load Forecasting model using Restricted Boltzmann Machines and Bi-directional Gated Recurrent Unit by Alagarsundaram, Poovendran, Ramamoorthy, Saravanan Kandaneri, Mazumder, Debarshi, Malathy, V., Soni, Mukesh

“…In recent years, the rate of energy consumption by industries, buildings increased gradually with increased population and daily usage. Thus, Short-Term Load…”
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Denial of Service (DoS) Attack Detection Using Feed Forward Neural Network in Cloud Environment by Kalpana, Ponugoti, Srilatha, P., Krishna, Gudepu Sai, Alkhayyat, Ahmad, Mazumder, Debarshi

“…In the recent years, the Denial of Service (DoS) developed as a big security threats for networks. Preventing as well as identifying DoS attacks is a big task…”
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Convolutional Neural Network Based Glaucoma Detection and Classification using Optic Disc Localization by Neelagar, Mahesh B, Manjunath, T. C., Patra, Raj Kumar, Jagadish, Sripelli, Mazumder, Debarshi

“…Glaucoma in the retina is considered a significant cause of irreparable vision loss, and automated glaucoma detection on fundus images has seen the development…”
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Transmission Line Fault Detection and Classification Using Feature Extraction Based Self-Attention Convolutional Neural Network with Time Series Image by Almusawi, Muntather, Raja Babu, D., Mazumder, Debarshi, V., Bala Dhandayuthapani, Naga Saranya, N.

“…The transmission lines continuously experience the number of shunt faults and its effective in practical system increases the instability, load damages and…”
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Residual Network Based Bidirectional Gated Recurrent Unit for Speech Recognition Using Speech Signals by Naga, Raju M, Jayachandran, T, Alzubaidi, Laith H, Mazumder, Debarshi, Praveena, Hirald Dwaraka

“…Speech Recognition is challenging research ins speech processing field of research. Different method has available in previous research that attained high…”
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