Dr. Aditya Khamparia
Dr. Aditya Khamparia
Assistant Professor, Department of Computer Science, Babasaheb Bhimrao Ambedkar University, India
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Cited by
A novel transfer learning based approach for pneumonia detection in chest X-ray images
V Chouhan, SK Singh, A Khamparia, D Gupta, P Tiwari, C Moreira, ...
Applied Sciences 10 (2), 559, 2020
Prediction of heart disease using a combination of machine learning and deep learning
R Bharti, A Khamparia, M Shabaz, G Dhiman, S Pande, P Singh
Computational intelligence and neuroscience 2021, 2021
Blockchain for smart cities: A review of architectures, integration trends and future research directions
B Bhushan, A Khamparia, KM Sagayam, SK Sharma, MA Ahad, ...
Sustainable Cities and Society 61, 102360, 2020
Sound classification using convolutional neural network and tensor deep stacking network
A Khamparia, D Gupta, NG Nguyen, A Khanna, B Pandey, P Tiwari
IEEE Access 7, 7717-7727, 2019
Unification of Blockchain and Internet of Things (BIoT): requirements, working model, challenges and future directions
B Bhushan, C Sahoo, P Sinha, A Khamparia
Wireless Networks 27, 55-90, 2021
Seasonal crops disease prediction and classification using deep convolutional encoder network
A Khamparia, G Saini, D Gupta, A Khanna, S Tiwari, ...
Circuits, Systems, and Signal Processing 39, 818-836, 2020
An internet of health things‐driven deep learning framework for detection and classification of skin cancer using transfer learning
A Khamparia, PK Singh, P Rani, D Samanta, A Khanna, B Bhushan
Transactions on Emerging Telecommunications Technologies 32 (7), e3963, 2021
Diagnosis of breast cancer based on modern mammography using hybrid transfer learning
DNHT A. Khamparia, S. Bharati, P. Podder, D. Gupta, A. Khanna, T.K. Phung
Multidimensional Systems and Signal Processing, 2021
Internet of health things-driven deep learning system for detection and classification of cervical cells using transfer learning
A Khamparia, D Gupta, VHC de Albuquerque, AK Sangaiah, RH Jhaveri
The Journal of Supercomputing 76, 8590-8608, 2020
A systematic review on deep learning architectures and applications
A Khamparia, KM Singh
Expert Systems 36 (3), e12400, 2019
Impact of interactive multimedia in E-learning technologies: Role of multimedia in E-learning
A Khamparia, B Pandey
Digital multimedia: concepts, methodologies, tools, and applications, 1087-1110, 2018
KDSAE: Chronic kidney disease classification with multimedia data learning using deep stacked autoencoder network
A Khamparia, G Saini, B Pandey, S Tiwari, D Gupta, A Khanna
Multimedia Tools and Applications 79, 35425-35440, 2020
An enhanced secure deep learning algorithm for fraud detection in wireless communication
S Sanober, I Alam, S Pande, F Arslan, KP Rane, BK Singh, A Khamparia, ...
Wireless Communications and Mobile Computing 2021, 1-14, 2021
Prediction model using SMOTE, genetic algorithm and decision tree (PMSGD) for classification of diabetes mellitus
C Azad, B Bhushan, R Sharma, A Shankar, KK Singh, A Khamparia
Multimedia Systems, 1-19, 2022
Association of learning styles with different e-learning problems: a systematic review and classification
A Khamparia, B Pandey
Education and Information Technologies 25 (2), 1303-1331, 2020
A novel deep learning-based multi-model ensemble method for the prediction of neuromuscular disorders
A Khamparia, A Singh, D Anand, D Gupta, A Khanna, N Arun Kumar, ...
Neural computing and applications 32, 11083-11095, 2020
Comprehensive analysis of semantic web reasoners and tools: a survey
A Khamparia, B Pandey
Education and Information Technologies 22, 3121-3145, 2017
A comprehensive survey of edge prediction in social networks: Techniques, parameters and challenges
B Pandey, PK Bhanodia, A Khamparia, DK Pandey
Expert Systems with Applications 124, 164-181, 2019
Knowledge and intelligent computing methods in e-learning
A Khamparia, B Pandey
International Journal of technology enhanced learning 7 (3), 221-242, 2015
DDOS detection using machine learning technique
S Pande, A Khamparia, D Gupta, DNH Thanh
Recent Studies on Computational Intelligence: Doctoral Symposium on …, 2021
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