Aditya Khamparia
Orcid: 0000-0001-9019-8230
According to our database1,
Aditya Khamparia
authored at least 52 papers
between 2016 and 2023.
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Bibliography
2023
Res-CovNet: an internet of medical health things driven COVID-19 framework using transfer learning.
Neural Comput. Appl., July, 2023
An intelligent IoMT enabled feature extraction method for early detection of knee arthritis.
Expert Syst. J. Knowl. Eng., May, 2023
Feature selection and comparison of classification algorithms for wireless sensor networks.
J. Ambient Intell. Humaniz. Comput., March, 2023
Comput. Sci., 2023
Proceedings of the Advances in Computational Intelligence Systems, 2023
2022
Correction to: An Enhanced Crow Search Inspired Feature Selection Technique for Intrusion Detection Based Wireless Network System.
Wirel. Pers. Commun., 2022
An Enhanced Crow Search Inspired Feature Selection Technique for Intrusion Detection Based Wireless Network System.
Wirel. Pers. Commun., 2022
Prediction model using SMOTE, genetic algorithm and decision tree (PMSGD) for classification of diabetes mellitus.
Multim. Syst., 2022
Int. J. Adv. Intell. Paradigms, 2022
Expert Syst. J. Knowl. Eng., 2022
Proceedings of the Workshop on Control and Embedded Systems (WCES 2022) Co-located with TOOTILL 100 - International Conference on Computing Sciences (ICCS 2022), Chennai, India, April 22, 2022
2021
Unification of Blockchain and Internet of Things (BIoT): requirements, working model, challenges and future directions.
Wirel. Networks, 2021
An Enhanced Secure Deep Learning Algorithm for Fraud Detection in Wireless Communication.
Wirel. Commun. Mob. Comput., 2021
DCAVN: Cervical cancer prediction and classification using deep convolutional and variational autoencoder network.
Multim. Tools Appl., 2021
Diagnosis of breast cancer based on modern mammography using hybrid transfer learning.
Multidimens. Syst. Signal Process., 2021
Int. J. Comput. Appl. Technol., 2021
Int. J. Comput. Appl. Technol., 2021
Intell. Decis. Technol., 2021
An internet of health things-driven deep learning framework for detection and classification of skin cancer using transfer learning.
Trans. Emerg. Telecommun. Technol., 2021
An intelligent hybrid approach for hepatitis disease diagnosis: Combining enhanced k-means clustering and improved ensemble learning.
Expert Syst. J. Knowl. Eng., 2021
Cogn. Syst. Res., 2021
Prediction of Heart Disease Using a Combination of Machine Learning and Deep Learning.
Comput. Intell. Neurosci., 2021
Supervised shift k-means based machine learning approach for link prediction using inherent structural properties of large online social network.
Comput. Intell., 2021
2020
Hybrid Wolf-Bat Algorithm for Optimization of Connection Weights in Multi-layer Perceptron.
ACM Trans. Multim. Comput. Commun. Appl., 2020
Internet of health things-driven deep learning system for detection and classification of cervical cells using transfer learning.
J. Supercomput., 2020
A hybrid whale optimization-differential evolution and genetic algorithm based approach to solve unit commitment scheduling problem: WODEGA.
Sustain. Comput. Informatics Syst., 2020
Classification and Identification of Primitive Kharif Crops using Supervised Deep Convolutional Networks.
Sustain. Comput. Informatics Syst., 2020
A novel deep learning-based multi-model ensemble method for the prediction of neuromuscular disorders.
Neural Comput. Appl., 2020
KDSAE: Chronic kidney disease classification with multimedia data learning using deep stacked autoencoder network.
Multim. Tools Appl., 2020
Libr. Hi Tech, 2020
Classification and analysis of users review using different classification techniques in intelligent e-learning system.
Int. J. Intell. Inf. Database Syst., 2020
Int. J. Heal. Inf. Syst. Informatics, 2020
A novel integrated principal component analysis and support vector machines-based diagnostic system for detection of chronic kidney disease.
Int. J. Data Anal. Tech. Strateg., 2020
Effects of microworld game-based approach on neuromuscular disabled students learning performance in elementary basic science courses.
Educ. Inf. Technol., 2020
Association of learning styles with different e-learning problems: a systematic review and classification.
Educ. Inf. Technol., 2020
Seasonal Crops Disease Prediction and Classification Using Deep Convolutional Encoder Network.
Circuits Syst. Signal Process., 2020
An Integrated Hybrid CNN-RNN Model for Visual Description and Generation of Captions.
Circuits Syst. Signal Process., 2020
Comparison of RSM, ANN and Fuzzy Logic for extraction of <i>Oleonolic Acid</i> from <i>Ocimum sanctum</i>.
Comput. Ind., 2020
IEEE Access, 2020
2019
Honey Bee Optimization based Sink Mobility Aware Heterogeneous Protocol for Wireless Sensor Network.
Scalable Comput. Pract. Exp., 2019
Informatica (Slovenia), 2019
A comprehensive survey of edge prediction in social networks: Techniques, parameters and challenges.
Expert Syst. Appl., 2019
Expert Syst. J. Knowl. Eng., 2019
Investigating the Importance of Psychological and Environmental Factors for Improving Learner's Performance Using Hidden Markov Model.
IEEE Access, 2019
Sound Classification Using Convolutional Neural Network and Tensor Deep Stacking Network.
IEEE Access, 2019
Threat-Driven Approach for Security Analysis: A Case Study with a Telemedicine System.
Proceedings of the Hybrid Intelligent Systems, 2019
2018
Int. J. Web Based Learn. Teach. Technol., 2018
Effects of visual map embedded approach on students learning performance using Briggs-Myers learning style in word puzzle gaming course.
Comput. Electr. Eng., 2018
Simulation and Deep CNN based architecture for validation of Intelligent automotive functions.
Proceedings of the 2018 International Conference on Advances in Computing, 2018
2017
Educ. Inf. Technol., 2017
Educ. Inf. Technol., 2017
2016
ICTCS, 2016