KK
Karan Kumar
Maharishi Markandeshwar (Deemed to be University), Mullana
Research areas: Computer Science · Artificial Intelligence · Natural Language Processing Techniques · Time Series Analysis and Forecasting · Topic Modeling
0000-0002-9038-0099
Employment
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Maharishi Markandeshwar (Deemed to be University), Mullana Associate Professor2022 - Present
Education
Education history is unavailable.
Projects & Funding
Projects & funding information is unavailable.
Publications (22)
- Review of CNN-Based Approaches for Preprocessing, Segmentation and Classification of Knee Osteoarthritis Save
- An Automatic Simulation of MRI using Adaptive Unsupervised Mapping Save
- An Optimized Predictive Machine Learning Model for Lung Cancer Diagnosis Save
- Exploring Self-Supervised Learning for Disease Detection and Classification in Digital Pathology: A review Save
- Early Diagnosis of Alzheimer’s Disease Using Adaptive Neuro K-Means Clustering Technique Save
- An Extensive Review of Machine Learning and Deep Learning Techniques on Heart Disease Classification and Prediction Save
- A machine learning model for Alzheimer's disease prediction Save
- Extensive Review on the Role of Machine Learning for Multifactorial Genetic Disorders Prediction Save
- An Improved Deep Learning Unsupervised Approach for MRI Tissue Segmentation for Alzheimer’s Disease Detection Save
- An ensemble learning approach for resampling forgery detection using Markov process Save
- Energy-efficient polyglot persistence database live migration among heterogeneous clouds Save
- Comparative Analysis of Machine Learning Classifiers for Plant Leaf Disease Detection Save
- Compressed Data Aggregation Using Regulated Duty Cycle for WSN-IOT Networks Save
- Evolution and Evaluation: Sarcasm Analysis for Twitter Data Using Sentiment Analysis Save
- Next Generation IoT and Blockchain Integration Save
- Markov features based DTCWS algorithm for online image forgery detection using ensemble classifier in the pandemic Save
- Detection of cirrhosis through ultrasound imaging Save
- Detection of cirrhosis through ultrasound imaging by intensity difference technique Save
- Texture Analysis and Classification of Ultrasound Images for Cirrhosis and Normal Liver Save
- Texture Analysis of Ultrasound Images of Liver Cirrhosis Through New Indexes Save