Deepak Gupta mostly deals with Artificial intelligence, Surgery, Atomic physics, Plasma and Pattern recognition. His Artificial intelligence study incorporates themes from Machine learning and Parkinson's disease. The study incorporates disciplines such as Anesthesia, Magnetic resonance imaging and Hypertrichosis in addition to Surgery.
His Atomic physics research includes themes of Reversed field pinch, Electron temperature, Field-reversed configuration, Neutral beam injection and Scaling. Deepak Gupta interconnects Turbulence and Core in the investigation of issues within Plasma. His Pattern recognition study combines topics from a wide range of disciplines, such as Decision tree, Container, Handwriting and Pneumonia.
Deepak Gupta spends much of his time researching Surgery, Artificial intelligence, Flow shop scheduling, Internal medicine and Anesthesia. Retrospective cohort study is the focus of his Surgery research. The concepts of his Artificial intelligence study are interwoven with issues in Machine learning and Pattern recognition.
His studies in Flow shop scheduling integrate themes in fields like Operations research, Block, Mathematical optimization and Renting. His research on Internal medicine often connects related areas such as Cardiology.
Deepak Gupta mostly deals with Artificial intelligence, Machine learning, Deep learning, Feature selection and Pattern recognition. His work in Artificial neural network, Convolutional neural network, Support vector machine, Transfer of learning and Classifier are all subfields of Artificial intelligence research. His research on Artificial neural network frequently links to adjacent areas such as Cloud computing.
He is involved in the study of Deep learning that focuses on Softmax function in particular. Deepak Gupta studied Feature selection and Random forest that intersect with Decision tree. His primary area of study in Pattern recognition is in the field of Feature extraction.
His primary areas of study are Artificial intelligence, Deep learning, Feature selection, Machine learning and Artificial neural network. His Artificial intelligence study frequently links to other fields, such as Pattern recognition. Deepak Gupta combines subjects such as Binary classification, Communication channel and Language model with his study of Deep learning.
The Feature selection study combines topics in areas such as Data mining, Field, Extension, Evolutionary algorithm and Algorithm. In the field of Machine learning, his study on Multi kernel, Confusion matrix and Feature based overlaps with subjects such as Thyroid disease. His Artificial neural network research incorporates elements of Particle swarm optimization, Cloud computing, Distributed computing and Correlation coefficient.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
CovidGAN: Data Augmentation Using Auxiliary Classifier GAN for Improved Covid-19 Detection
Abdul Waheed;Muskan Goyal;Deepak Gupta;Ashish Khanna.
IEEE Access (2020)
Identifying pneumonia in chest X-rays: A deep learning approach
Amit Kumar Jaiswal;Prayag Tiwari;Sachin Kumar;Deepak Gupta.
Optimal feature-based multi-kernel SVM approach for thyroid disease classification
K. Shankar;S. K. Lakshmanaprabu;Deepak Gupta;Andino Maseleno.
The Journal of Supercomputing (2020)
A Novel Transfer Learning Based Approach for Pneumonia Detection in Chest X-ray Images
Vikash Chouhan;Sanjay Kumar Singh;Aditya Khamparia;Deepak Gupta.
Applied Sciences (2020)
Hiding Data in Images Using Cryptography and Deep Neural Network
Kartik Sharma;Ashutosh Aggarwal;Tanay Singhania;Deepak Gupta.
Ai & Society (2019)
Automated detection and classification of fundus diabetic retinopathy images using synergic deep learning model
K. Shankar;Abdul Rahaman Wahab Sait;Deepak Gupta;S.K. Lakshmanaprabu.
Pattern Recognition Letters (2020)
Optimized cuttlefish algorithm for diagnosis of Parkinson’s disease
Deepak Gupta;Arnav Julka;Sanchit Jain;Tushar Aggarwal.
Cognitive Systems Research (2018)
Effective Features to Classify Big Data Using Social Internet of Things
S. K. Lakshmanaprabu;K. Shankar;Ashish Khanna;Deepak Gupta.
IEEE Access (2018)
Improved diagnosis of Parkinson's disease using optimized crow search algorithm
Deepak Gupta;Shirsh Sundaram;Ashish Khanna;Aboul Ella Hassanien.
Computers & Electrical Engineering (2018)
An efficient Lightweight integrated Blockchain (ELIB) model for IoT security and privacy
Sachi Nandan Mohanty;K.C. Ramya;S. Sheeba Rani;Deepak Gupta.
Future Generation Computer Systems (2020)
Profile was last updated on December 6th, 2021.
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