BB
BICHITRANANDA BEHERA
Birla Global University, C.V. Raman Global University, Ravenshaw University
Research areas: Computer Science · Artificial Intelligence · Text and Document Classification Technologies · Sentiment Analysis and Opinion Mining · Artificial Intelligence in Healthcare
0000-0002-9362-7691
Employment
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Birla Global University Assistant Professor2026 - Present
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C V Raman Global University Assistant Professor2022 - 2025
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Ravenshaw University Assistant Professor2016 - 2017
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Meridian College Bhubaneswar Lecturer in IT and Computer Science2014 - 2016
Education
Education history is unavailable.
Projects & Funding
Projects & funding information is unavailable.
Publications (15)
- Enhancing anomaly-based zero-day attack detection framework using CNN-driven feature extraction and OC-SVM Save
- A Review of Various Datasets for Machine Learning Algorithm-Based Intrusion Detection System: Advances and Challenges Save
- Brain Tumor Detection Using Deep Learning and VGG-16 Model Save
- Development and Analysis of Machine Learning Models for Polycystic Ovary Syndrome Detection Save
- Evaluating Machine Learning Models for Hate Speech Detection in ODIA Language Save
- Feature Selection-Based Machine Learning Models for Metropolitan Cities Air Quality Prediction Save
- Sentiment Analysis of Professional Social Network Like Linkedin Using Textblob Save
- Skin Cancer Detection Using CNN and Ensemble Learning Save
- Performance evaluation of Machine learning algorithms for Intrusion Detection System Save
- Text document classification using fuzzy rough set based on robust nearest neighbor (FRS-RNN) Save
- Performance analysis and evaluation of machine learning algorithms in rainfall prediction Save
- Performance evaluation of machine learning algorithms in biomedical document classification Save
- Performance Evaluation of Deep Learning Algorithms in Biomedical Document Classification Save
- Towards the Deployment of Machine Learning Solutions for Document Classification Save
- Hyperparameter Tuning-Based Optimized Performance Analysis of Machine Learning Algorithms for Network Intrusion Detection Save