Dr . Jajam Nagaraju

About

Jajam Nagaraju received Ph.D. from Vellore Institute of technology University Andhra Pradesh, Amaravati, India. His research interests include Soft Computing, Machine Learning, and Deep Learning.

Employment

• TIRUMALA ENGINEERING COLLEGE Assoc.Professor

Education

• VIT-AP Campus P.hD

Projects & Funding

Projects & funding information is unavailable.

Publications (11)

• Reinforcement Learning in Customer Churn Prediction for Insurance datasets
  2023 IEEE Engineering Informatics 2023 DOI: 10.1109/ieeeconf58110.2023.10520501
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• Predicting Customer Churn in Insurance Industry Using Big Data and Machine Learning
  2023 First International Conference on Advances in Electrical, Electronics and Computational Intelligence (ICAEECI) 2023 DOI: 10.1109/icaeeci58247.2023.10370876
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• Arithmetic Optimization with Ensemble Deep Learning SBLSTM-RNN-IGSA model for Customer Churn Prediction
  IEEE ACCESS 2023
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• Depression Analysis of Twitter Dataset Using Natural Language Processing Techniques
  2023 International Conference on Computational Intelligence, Networks and Security (ICCINS) DOI: 10.1109/ICCINS58907.2023 22-23 Dec. 2023 2023
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• Customer Churn Detection for insurance data using Blended Logistic Regression Decision Tree Algorithm (BLRDT)
  International Journal of Intelligent Systems and Applications in Engineering 2023
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• Dynamic Behavior-Based Churn Forecasts in the Insurance Sector
  Computers, Materials and Continua 2023 DOI: 10.32604/cmc.2023.036098
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• Heart Disease Prediction using Reinforcement Learning Technique
  2023 3rd International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies, ICAECT 2023 2023 DOI: 10.1109/ICAECT57570.2023.10118232
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• IMPROVED DOUBLE-LEVEL BLENDING MODEL (IDLBM): CUSTOMER CHURN ESTIMATING in INSURANCE INDUSTRY
  2023 3rd International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies, ICAECT 2023 2023 DOI: 10.1109/ICAECT57570.2023.10118051
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• Boost customer churn prediction in the insurance industry using meta-heuristic models
  International Journal of Information Technology 2022 DOI: 10.1007/s41870-022-01017-5
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• Methodologies used for Customer Churn Detection in Customer Relationship Management
  Proceedings of International Conference on Technological Advancements and Innovations, ICTAI 2021 2021 DOI: 10.1109/ICTAI53825.2021.9673382
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