NC
Narendra Babu Chindanur
Ramaiah Institute of Technology
Research areas: Engineering · Electrical and Electronic Engineering · Advanced MIMO Systems Optimization · Stock Market Forecasting Methods · Time Series Analysis and Forecasting
Employment
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Ramaiah Institute of Technology Professor
Education
Education history is unavailable.
Projects & Funding
Projects & funding information is unavailable.
Publications (31)
- BELMA: Integrating Formal Verification and Large Language Models for Enhanced Smart Contract Security Save
- Discovering new relationships using multipoles through correlation and threshold analysis Save
- Audio–video syncing with lip movements using generative deep neural networks Save
- Recursive Stacked LeakyNet-Based Compartmental Model for Analysis of COVID-19 Transmission Dynamics Save
- SENTINET: A DEEP SENTIMENT ANALYSIS NETWORK FOR POLITICAL MEDIA BIAS DETECTION Save
- Spatio-Temporal Constraint-Based Low Rank Matrix Completion Approaches for Road Traffic Networks Save
- A web information extraction framework with adaptive and failure prediction feature Save
- Electricity consumption forecasting using DFT decomposition based hybrid ARIMA-DLSTM model Save
- Robotic Process Automation for Resume Processing System Save
- Prescriptive analytics for impulsive behaviour prevention using real-time biometrics Save
- Sparse Bayesian Learning Assisted Approaches for Road Network Traffic State Estimation Save
- EMP-SA: Ensemble model based market prediction using sentiment analysis Save
- OACD-SA: Online Aspect Category Detection for Sentiment Analysis using Unsupervised Learning Save
- R-SA: A Rule-based Expert System for Sentiment Analysis Save
- Electricity theft: Analysis of the underlying contributory factors in Ghana Save
- Large random matrix-based channel estimation for massive MIMO-OFDM uplink Save
- Low-Dimensional Models for Traffic Data Processing Using Graph Fourier Transform Save
- A review of digital forensic challenges in the internet of things (IOT) Save
- Automated Topic Modeling and Sentiment Analysis of Tweets on SparkR Save
- Location Based Real-time Sentiment Analysis of Top Trending Event Using Hybrid Approach Save