Profile of PhD Scholars
- Name : Niraj Kumar
- Registration: 20190201002
- Supervisor Name: Prof. Subhash Chandra Yadav
- Research title: Enhanced Deep Learning Model for Text Classification to Predict Emotion of Twitter Data
- Research Area :Text data Analysis, Deep Learning
- ORCID: 0000-0003-2638-3794
- Status of PhD research: Ongoing
- List of Papers in Journals:
1.Niraj Kumar, Subhash Chandra Yadav, “Comprehensive analysis of deep learning-based text classification models and applications”,International Journal of Applied Science and Engineering, Vol.20(3), Article No.:2022342, ISSN/eISSN:1727-2394/1727-7841, <(Scopus) https://doi.org/10.6703/IJASE.202309_20(3).002
2.Niraj Kumar, Subhash Chandra Yadav, “A Hybrid schema: LSTM-BiLSTM with Attention Mechanism to Predict Emotion in Twitter Data”, International Journal of
Computing and Digital Systems, ISSN/eISSN:2535-9886/2210-142X,
<(Scopus) (Accepted)
- Name : Jyoti Jangade
- Registration: 20190201003
- Supervisor Name: Dr. Kanojia Sindhuben Babulal
- Research title: Implementation of Machine Learning Techniques for Identification of Correct YOGA Poses.
- Research Area :Machine Learning, Human Pose Estimation Technique
- ORCID:
- Status of PhD research: Ongoing
- Brief information about research work
The main focus of this research is to prevent the performance of incorrect yoga asanas by practitioners, so they are able to perform yoga correctly. The human pose estimation algorithm is used to draw a skeleton of a person’s body to identify the posture. Working to design a model to find the results of classifying the correct yoga poses using machine learning methods.
- Name : Ram Kishun Mahto
- Registration: 21190201001
- Supervisor Name: Dr. Pushpendra Kumar
- Research title: Deep Learning Approaches for Classification and Detection of Chronic Kidney Disease Using CT Images
- Research Area :Image Processing, Deep Learning
- ORCID: https://orcid.org/0009-0000-6207-6834
- Status of PhD research: Ongoing
- Brief information about research work:
The aim of the research is to develop deep-learning models for the early detection and classification of chronic kidney diseases. <(Scopus) https://doi.org/10.6703/IJASE.202309_20(3).002
- Name : Sheetal Kumari
- Registration: 211902011002
- Supervisor Name: Prof. Subhash Chandra Yadav
- Research title: Hybrid Deep Learning Model for Improving Sentiment Analysis Accuracy by Reducing Context Dependent Errors
- Research Area :Natural Language Processing, Deep Learning
- ORCID: 0000-0003-3172-8291
- Status of PhD research: Ongoing
- Brief information about research work:
The aim of this work is to improve the accuracy of sentiment analysis by reducing context-dependent errors. To achieve this goal, a hybrid deep learning model will be used. This model will first reduce the context-dependent errors such as sarcasm detection, negation handling, fuzzy word, and disambiguation of words and then it will give accurate sentiment as an output.
