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Upendra Kumar
Observed names:
Dr. Upendra Kumar,
Kumar, Upendra,
UPENDRA KUMAR,
Upendra kumar,
upendra kumar
Institutions:
Dr. A.P.J. Abdul Kalam Technical University,
Lincoln University College
Observed institutions:
Dr. A.P.J. Abdul Kalam Technical University,
National Institute of Technology Rourkela,
Amity University,
APJ Abdul Kalam Technological University,
Lincoln University College
ORCID:
0000-0003-3792-7945
Observed ORCID:
0000-0003-3792-7945
OpenAlex ID:
A5000256291
Analysis of ECG signal by chaos principle to help automatic diagnosis of myocardial infarction
2009
·
Tapobrata Lahiri
, Upendra Kumar
, et al.
·
Journal of Scientific & Industrial Research
·
38
A Comparative Study of Medical Image Segmentation Techniques for Brain Tumor Detection
2018
·
Kapil Kumar Gupta
, Namrata Dhanda
, et al.
·
International Conference on Computing, Communication and Automation
·
25
Image splicing detection system using intensity-level multi-fractal dimension feature engineering and twin support vector machine based classifier
2022
·
Esha Tripathi
, Upendra Kumar
, et al.
·
Multimedia Tools and Applications
·
12
Applications of Machine Learning in Disease Pre-screening
2018
·
Upendra Kumar
·
Advances in medical diagnosis, treatment, and care (AMDTC) book series
·
10
Applications of Machine Learning in Disease Pre-screening
2020
·
Upendra Kumar
·
IGI Global eBooks
·
9
Automated Image Splicing Detection using Texture based Feature Criterion and Fuzzy Support Vector Machine based Classifier
2019
·
Esha Tripathi
, Upendra Kumar
, et al.
·
9
Segmentation of Ill-Defined Objects by Convoluting Context Window of Each Pixel with a Non-Parametric Function
2013
·
Upendra Kumar
, Tapobrata Lahiri
·
International Journal of Computer Vision and Image Processing
·
9
Exploring geometric properties of gold nanoparticles using TEM images to explain their chaperone like activity for citrate synthase
2011
·
Vikas Kaushik
, Tapobrata Lahiri
, et al.
·
Bioinformation
·
8
PDF
Analysis of Methods of Machine Learning Techniques for Detection and Classification of Brown Spot (Rice) Disease
2022
·
Shashank Chaudhary
, Upendra kumar
·
Universal Journal of Agricultural Research
·
7
PDF
Significant Enhancement of Object Recognition Efficiency Using Human Cognition based Decision Clustering
2013
·
Upendra Kumar
, Tapobrata Lahiri
·
International Journal of Computer Vision and Image Processing
·
7
Automated Detection and Classification of Rice Crop Diseases Using Advanced Image Processing and Machine Learning Techniques
2024
·
Shashank Chaudhary
, Upendra Kumar
·
Traitement du signal
·
6
Depth Analysis of Different Medical Image Segmentation Techniques for Brain Tumor Detection
2019
·
Kapil Kumar Gupta
, Namrata Dhanda
, et al.
·
Advances in intelligent systems and computing
·
6
Identification of rice crop diseases using gray level co-occurrence matrix (GLCM) and Neuro-GA classifier
2024
·
Shashank Chaudhary
, Upendra kumar
·
International Journal of Systems Assurance Engineering and Management
·
5
A noval approach of classification of COVID-19 from chest CT-Scan images using ensemble classifier in combination with cognition based texture features
2024
·
Upendra Kumar
·
Multimedia Tools and Applications
·
5
Comparative Analysis of Techniques Used to Detect Copy-Move Tampering for Real-World Electronic Images
2023
·
Esha Tripathi
, Upendra Kumar
, et al.
·
International Journal of Integrated Engineering
·
5
PDF
An efficient approach for automated system to identify the rice crop disease using intensity level based multi-fractal dimension and twin support vector machine
2023
·
Shashank Chaudhary
, Upendra Kumar
·
Archives of Phytopathology and Plant Protection
·
5
Deep Learning for Healthcare Biometrics
2018
·
Upendra Kumar
, Esha Tripathi
, et al.
·
Advances in medical technologies and clinical practice book series
·
5
Plant Recognition using Hog and Artificial Neural Network
2017
·
Jasti Vishnu Vardhan
, Karamjit Kaur
, et al.
·
International Journal on Recent and Innovation Trends in Computing and Communication
·
5
A Novel Approach for Object Recognition Using Decision Tree Clustering by Incorporating Multi-Level BPNN Classifiers and Hybrid Texture Features
2024
·
Upendra Kumar
·
International Journal of Information Retrieval Research
·
4
PDF
A Novel Hybrid Method for Segmentation and Analysis of Brain MRI for Tumor Diagnosis
2020
·
Kapil Kumar Gupta
, Namrata Dhanda
, et al.
·
Advances in Science Technology and Engineering Systems Journal
·
4
PDF
A Hybrid Approach for Automated Plant Leaf Recognition Using Hybrid Texture Features and Machine Learning-Based Classifiers
2021
·
Upendra Kumar
, Shashank Yadav
, et al.
·
International Journal of Distributed Artificial Intelligence
·
3
Application of Machine Learning to Analyse Biomedical Signals for Medical Diagnosis
2020
·
Upendra Kumar
, Shashank Yadav
·
Advances in medical diagnosis, treatment, and care (AMDTC) book series
·
3
An efficient digital image forgery detection using Pelican search optimisation-based DCNN
2024
·
Esha Tripathi
, Upendra Kumar
, et al.
·
Journal of Experimental & Theoretical Artificial Intelligence
·
2
Object recognition using cognition based decision tree clustering in multi-level artificial neural network classifier and self similarity as feature criterion
2024
·
Upendra Kumar
·
Multimedia Tools and Applications
·
2
Analysis of Meta-Heuristic Feature Selection Techniques on classifier performance with specific reference to psychiatric disorder
2023
·
Chandrabhan Singh
, Mohit Gangwar
, et al.
·
International Journal of experimental research and review
·
2
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Works count:
54
Citation count:
214
H-index:
8
I10-index:
4
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