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Pradeep Chatterjee

Observed name: P. Chatterjee
ORCID: 0000-0001-5299-7306
Observed ORCID: 0000-0001-5299-7306
OpenAlex ID: A5067087274
Efficient Heart Disease Prediction Using Hybrid Deep Learning Classification Models
2023 · Vaishali Baviskar, Madhushi Verma, et al. · IRBM · 26
Empirical Study on Stock Market Prediction Using Machine Learning
2019 · Rachna Sable, Shivani Goel, et al. · International Conference on Advances in Computing, Communication and Control (ICAC3) · 19
Fuzzy control of induction motor with reduced rule base
2007 · Pradeep Chatterjee, B.M. Karan, et al. · Serbian Journal of Electrical Engineering · 16
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Techniques for Stock Market Prediction: A Review
2023 · Rachna Sable, Shivani Goel, et al. · International Journal on Recent and Innovation Trends in Computing and Communication · 11
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Deep Learning Model for Fusing Spatial and Temporal Data for Stock Market Prediction
2023 · Rachna Sable, Shivani Goel, et al. · Computational Economics · 8
A Model for Heart Disease Prediction Using Feature Selection with Deep Learning
2021 · Vaishali Baviskar, Madhushi Verma, et al. · Communications in computer and information science · 8
H2EMDCO: Design of a Hyper Ensemble Model for Evaluation of Heart Diseases from Clinical Observations
2023 · Vaishali Baviskar, Aditya Ojha, et al. · Procedia Computer Science · 6
Design of an Augmented Ensemble Heart Failure Prediction Model using Multi Parametric Analysis
2022 · Vaishali Baviskar, Yash Dwivedi, et al. · IEEE International Conference for Convergence in Technology (I2CT) · 5
Fast Recognition of Mechanical Objects Using Neural Networks Under Robust Aspect
2012 · A. K. Chakraborty, Dipankar Pal, et al. · Journal of The Institution of Engineers (India) Series C · 4
Multi-layer feed-forward modular network for induction motor
2003 · P. Chatterjee, B.M. Karan, et al. · International Joint Conference on Neural Networks (IJCNN) · 4
RETRACTED: Optimization using Internet of Agent based Stacked Sparse Autoencoder Model for Heart Disease Prediction
2023 · Vaishali Baviskar, Madhushi Verma, et al. · Expert Systems · 3
MAOA-DRN: Mayfly Adam Optimization Based Deep Residual Network - A Framework for Stock Market Prediction
2025 · Rachna Sable, Sudhanshu Gupta, et al. · Journal of Intelligent & Fuzzy Systems · 2
Targeted Evaluation of Context-Sensitive Sentiment Analysis Models for Prediction of Stock Trends
2022 · Rachna Sable, Shivani Goel, et al. · Advances in intelligent systems and computing · 2
Improving Classification Performance of Deep Learning Models Using Bio-Inspired Computing
2021 · Vaishali Baviskar, Madhushi Verma, et al. · International Conference on Contemporary Computing · 2
Deep learning models for stock prediction on diverse datasets
2024 · Rachna Sable, Shivani Goel, et al. · JOURNAL OF ADVANCED APPLIED SCIENTIFIC RESEARCH · 1
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Correction to: Deep Learning Model for Fusing Spatial and Temporal Data for Stock Market Prediction
2023 · Rachna Sable, Shivani Goel, et al. · Computational Economics · 1
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IoT-Enabled Heart Disease Prediction Using Machine Learning
2022 · Divya Srivastava, Madhushi Verma, et al. · CRC Press eBooks · 1
An Efficient AI-Based Hybrid Classification Model for Heart Disease Prediction
2021 · Vaishali Baviskar, Madhushi Verma, et al. · CRC Press eBooks · 1
Reducing Errors During Stock Value Prediction Q-Learning-Based Generic Algorithm
2021 · Rachna Yogesh Sable, Shivani Goel, et al. · Algorithms for intelligent systems · 1
Intelligent Drive for Induction Motor Control
2008 · P. Chatterjee, B.M. Karan, et al. · Control and Intelligent Systems · 1
Chatbot Development Simplified: An In-Depth Look at JIGYASABOT Platform and Alternatives
2024 · Abhijit Dalavi, Pradeep Chatterjee, et al. · Lecture notes in networks and systems
GCOMSP: Design of a GWO Based Model for Continuous Optimization of Multidomain Stock Prediction Performance
2023 · Rachna Sable, Shivani Goel, et al. · Communications in computer and information science
Artificial Intelligence in Electric Drives
2018 · Pradeep Chatterjee
Works count: 23
Citation count: 122
H-index: 6
I10-index: 4
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