SN
Shubhangi Neware
Shri Ramdeobaba College of Engineering and Management
Research areas: Computer Science · Signal Processing · Biometric Identification and Security · User Authentication and Security Systems · Gait Recognition and Analysis
Employment
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Shri Ramdeobaba College of Engineering and Management Assistant Professor
Education
Education history is unavailable.
Projects & Funding
Projects & funding information is unavailable.
Publications (19)
- Detection of Thyroid Disease Using Deep Learning: Systematic Review Save
- Spectrum Sensing Based on Hybrid Spectrum Handoff in Cognitive Radio Networks Save
- Design and Implementation of Stroke Based Hand Written Character Recognition Save
- Customer Behavior, Emotions and Interest Analysis Using Automatic and Physical Survey Save
- Implementation of Multiple Protocol Supporting Medical Testing Machine Software Integration Save
- Frequent Itemset Mining from Outsourced Transactional Data with Assured Privacy over Cloud Storage Save
- Improving Customer Segmentation in E-Commerce using Predictive Neural Network Save
- Orange Fruit Disease Classification using Deep Learning Approach Save
- Suitable Business Site Selection Using GIS Save
- Fruit Grading System using k means clustering and Artificial Neural Network Save
- Implementation of Data Mining Technique for Determining KMost Demanding Products Save
- Nagpur metro tracks construction monitoring system Save
- An experimental analysis of churn prediction techniques on real time datasets Save
- An experimental analysis of various algorithms for classification in educational data mining with the help of LMS Save
- Improving obsolescence detection accuracy using recurrent neural networks Save
- Finger knuckle biometrics for personal identification using statistical and feature based approaches Save
- An Experimental Analysis of Churn Prediction Techniques on Real Time Datasets Save
- An Experimental Analysis of Various Algorithms for Classification in Educational Data Mining with the help of LMS Save
- Improving Obsolescence Detection Accuracy using Recurrent Neural Networks Save