Rajeev Kumar Gupta

Orcid: 0000-0002-5317-9919

According to our database1, Rajeev Kumar Gupta authored at least 25 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2024
AI-enabled dental caries detection using transfer learning and gradient-based class activation mapping.
J. Ambient Intell. Humaniz. Comput., July, 2024

An explainable brain tumor detection and classification model using deep learning and layer-wise relevance propagation.
Multim. Tools Appl., March, 2024

2023
A CNN-SVM based computer aided diagnosis of breast Cancer using histogram K-means segmentation technique.
Multim. Tools Appl., April, 2023

Capturing uncertainties through log analysis using DevOps.
Int. J. Data Min. Model. Manag., 2023

2022
Robot visual navigation estimation and target localization based on neural network.
Paladyn J. Behav. Robotics, 2022

An AI-enabled pre-trained model-based Covid detection model using chest X-ray images.
Multim. Tools Appl., 2022

Communication MWSN Data Transmission Mechanism Based on a Wireless Sensor Network.
J. Sensors, 2022

Chaotic association feature extraction of big data clustering based on Internet of Things.
Informatica (Slovenia), 2022

Predicting Churn of Credit Card Customers Using Machine Learning and AutoML.
Int. J. Inf. Technol. Proj. Manag., 2022

A Deep Neural Network for Detecting Coronavirus Disease Using Chest X-Ray Images.
Int. J. Heal. Inf. Syst. Informatics, 2022

COVID-19 Lesion Segmentation and Classification of Lung CTs Using GMM-Based Hidden Markov Random Field and ResNet 18.
Int. J. Fuzzy Syst. Appl., 2022

Sarcasm Detection in News Headlines using Voted Classification.
Proceedings of the 2022 Fourteenth International Conference on Contemporary Computing, 2022

2021
Deep Learning Based Mathematical Model for Feature Extraction to Detect Corona Virus Disease using Chest X-ray Images.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2021

2020
Challenges in scaling AI-powered distributed software product: a case study of a healthcare organization.
Proceedings of the ICGSE '20: 15th IEEE/ACM International Conference on Global Software Engineering, 2020

2019
Key Factors in Scaling up Agile Team in Matrix Organization.
Proceedings of the 12th Innovations on Software Engineering Conference (formerly known as India Software Engineering Conference), 2019

Challenges in adopting continuous delivery and DevOps in a globally distributed product team: a case study of a healthcare organization.
Proceedings of the 14th International Conference on Global Software Engineering, 2019

2018
Challenges in scaling up a globally distributed legacy product: a case study of a matrix organization.
Proceedings of the 13th Conference on Global Software Engineering, 2018

2017
Balance Resource Utilization (BRU) Approach for the Dynamic Load Balancing in Cloud Environment by Using AR Prediction Model.
J. Organ. End User Comput., 2017

Pragmatic Scrum Transformation: Challenges, Practices & Impacts During the Journey A case study in a multi-location legacy software product development team.
Proceedings of the 10th Innovations in Software Engineering Conference, 2017

Knowledge Transfer for Global Roles in GSE.
Proceedings of the 12th IEEE International Conference on Global Software Engineering, 2017

2016
Pragmatic Approach for Managing Technical Debt in Legacy Software Project.
Proceedings of the 9th India Software Engineering Conference, 2016

Challenges in Adapting Agile Testing in a Legacy Product.
Proceedings of the 11th IEEE International Conference on Global Software Engineering, 2016

Adapting Agile in a Globally Distributed Software Development.
Proceedings of the 49th Hawaii International Conference on System Sciences, 2016

2015
Challenges in Adapting Scrum in Legacy Global Configurator Project.
Proceedings of the 2015 IEEE 10th International Conference on Global Software Engineering, 2015

2014
Distributed Implementation of Latent Rating Pattern Sharing Based Cross-domain Recommender System Approach.
Proceedings of the 2014 IEEE International Congress on Big Data, Anchorage, AK, USA, June 27, 2014


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