Deepali Gupta
Orcid: 0000-0002-3207-5248
According to our database1,
Deepali Gupta
authored at least 34 papers
between 2008 and 2024.
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Bibliography
2024
Machine learning-based defect prediction model using multilayer perceptron algorithm for escalating the reliability of the software.
J. Supercomput., May, 2024
IoT Ecosystem Security via Distributed Ledger Technology (Blockchain versus IOTA): A Bibliometric Analysis Research.
J. Circuits Syst. Comput., 2024
Conditional spatial biased intuitionistic clustering technique for brain MRI image segmentation.
Frontiers Comput. Neurosci., 2024
Securing X-Ray Images in No Interest Region (NIR) of the Normalized Cover Image by Edge Steganography.
IEEE Access, 2024
Comparative Growth Analysis of Onion in Deep Water Culture and Soil Based Systems: Enhancing Medicinal Plant Cultivation in Urbanized Environments.
IEEE Access, 2024
2023
Data Rate Aware Reliable Transmission Mechanism in Wireless Sensor Networks using Bayesian Regularized Neural Network approach.
Phys. Commun., August, 2023
Algorithmic Approach to Virtual Machine Migration in Cloud Computing with Updated SESA Algorithm.
Sensors, July, 2023
An efficient task allocation framework for scheduled data in edge based Internet of Things using hybrid optimization algorithm approach.
Phys. Commun., June, 2023
Evaluation of Growth Responses of Lettuce and Energy Efficiency of the Substrate and Smart Hydroponics Cropping System.
Sensors, February, 2023
Novel deep transfer learning model for COVID-19 patient detection using X-ray chest images.
J. Ambient Intell. Humaniz. Comput., 2023
Learner-Centric Hybrid Filtering-Based Recommender System for Massive Open Online Courses.
Int. J. Perform. Eng., 2023
A Real-Time Data Monitoring Framework for Predictive Maintenance Based on the Internet of Things.
Complex., 2023
MD-MARS: Maintainability Framework Based on Data Flow Prediction Using Multivariate Adaptive Regression Splines Algorithm in Wireless Sensor Network.
IEEE Access, 2023
Protein Subcellular Localization Prediction by Concatenation of Convolutional Blocks for Deep Features Extraction From Microscopic Images.
IEEE Access, 2023
Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023
Design of Sensor Based Walnut Cracking Device and By-Product Classification via K-Means.
Proceedings of the 6th International Conference on Contemporary Computing and Informatics, 2023
2022
A Deep Learning-Based Intelligent Garbage Detection System Using an Unmanned Aerial Vehicle.
Symmetry, 2022
Recognition of Gurmukhi Handwritten City Names Using Deep Learning and Cloud Computing.
Sci. Program., 2022
Visualization of Customized Convolutional Neural Network for Natural Language Recognition.
Sensors, 2022
Monitoring Ambient Parameters in the IoT Precision Agriculture Scenario: An Approach to Sensor Selection and Hydroponic Saffron Cultivation.
Sensors, 2022
J. Interconnect. Networks, 2022
Transfer learning-based modified inception model for the diagnosis of Alzheimer's disease.
Frontiers Comput. Neurosci., 2022
Genomic and structural mechanistic insight to reveal the differential infectivity of omicron and other variants of concern.
Comput. Biol. Medicine, 2022
A Convolutional Neural Network-Based Framework for Classification of Protein Localization Using Confocal Microscopy Images.
IEEE Access, 2022
2021
Int. J. Perform. Eng., 2021
Int. J. Perform. Eng., 2021
Int. J. Comput. Appl. Technol., 2021
IoT-based automatic intravenous fluid monitoring system for smart medical environment.
Int. J. Comput. Appl. Technol., 2021
2020
Int. J. Cloud Appl. Comput., 2020
2018
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018
2011
Int. J. Math. Oper. Res., 2011
2009
Optimal testing resource allocation during module testing considering cost, testing effort and reliability.
Comput. Ind. Eng., 2009
Dewarping and Deskewing of a Document using Affine Transformation.
Proceedings of the VISAPP 2009 - Proceedings of the Fourth International Conference on Computer Vision Theory and Applications, Lisboa, Portugal, February 5-8, 2009, 2009
2008
Software Fault Prediction Based on Machine Learning Techniques Using Software Metrics.
J. Digit. Inf. Manag., 2008