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Rajeev Agrawal
Also published under:R. Agrawal, Rajeev K. Agrawal
Affiliation
Lloyd Institute of Engineering and Technology, G. Noida, UP, India
Topic
Support Vector Machine,Convolutional Neural Network,Deep Learning,K-nearest Neighbor,Learning Algorithms,Machine Learning,Neural Network,Ad Hoc Networks,Assault,Attention Module,Confusion Matrix,Convolutional Layers,Decision Tree,Deep Network,DoS Attacks,Emotion Recognition,Face Recognition,Facial Expression Recognition,Facial Expressions,Machine Learning Classifiers,Malicious Nodes,Median Filter,Random Forest,Secret Key,Training Set,Types Of Attacks,10-fold Cross-validation,Action Units,Affective Computing,Anomaly Detection,Appearance Features,Area Under Curve,Artificial Neural Network,Astounding,Attention Mechanism,Attention Network,Average Accuracy,Back Propagation Neural Network,Backpropagation,Battery Power,Bayesian Classifier,Bayesian Regularization,Black Hole,Bloom Filter,Brain Tumor Imaging,CNN-based Approaches,Chest X-ray,Chronic Disease,Chronic Kidney Disease,Chronic Kidney Disease Patients,
Biography
Rajeev Agrawal received the Ph.D. degree from the School of Computer and System Sciences, JNU, New Delhi. He is currently serving as the Senior Director of the Lloyd Institute of Engineering & Technology. He has an illustrated experience of more than 27 years in teaching and research and has more than 75 publications in reputed international journals and conferences along with many papers in national conferences to his credit. His works on ultrasound medical imaging have received acknowledgment from authors of international repute. He is a member of the editorial panel in multiple national and international journals and a reviewer in various international journals of communication and the medical domain. He is also an editor of Springer Lecture series books and has multiple patents to his credit. He is currently working in collaboration with distinguished professors from India and abroad in the field of medical imaging and machine learning.