Prayag Tiwari

According to our database1, Prayag Tiwari authored at least 14 papers between 2017 and 2019.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2019
Investigating the Importance of Psychological and Environmental Factors for Improving Learner's Performance Using Hidden Markov Model.
IEEE Access, 2019

Sound Classification Using Convolutional Neural Network and Tensor Deep Stacking Network.
IEEE Access, 2019

A Particle Swarm Optimized Learning Model of Fault Classification in Web-Apps.
IEEE Access, 2019

2018
Accurate Traffic Flow Prediction in Heterogeneous Vehicular Networks in an Intelligent Transport System Using a Supervised Non-Parametric Classifier.
Sensors, 2018

ANN based short-term traffic flow forecasting in undivided two lane highway.
J. Big Data, 2018

Augmenting Classifiers Performance through Clustering: A Comparative Study on Road Accident Data.
IJIRR, 2018

Detection of subtype blood cells using deep learning.
Cognitive Systems Research, 2018

Fusion based En-FEC Transfer Learning Approach for Automobile Parts Recognition System.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

Quantum Language Model-based Query Expansion.
Proceedings of the 2018 ACM SIGIR International Conference on Theory of Information Retrieval, 2018

Binary Classification Model Inspired from Quantum Detection Theory.
Proceedings of the 2018 ACM SIGIR International Conference on Theory of Information Retrieval, 2018

Towards a Quantum-Inspired Framework for Binary Classification.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2017
Performance Evaluation of Lazy, Decision Tree Classifier and Multilayer Perceptron on Traffic Accident Analysis.
Informatica (Slovenia), 2017

Implementation of n-gram Methodology for Rotten Tomatoes Review Dataset Sentiment Analysis.
IJKDB, 2017

Fuzzy logic hybrid model with semantic filtering approach for pseudo relevance feedback-based query expansion.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017


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