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Rajeev Kumar Gupta
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2020 – today
- 2024
- [j13]Hardik Inani, Veerangi Mehta, Drashti Bhavsar, Rajeev Kumar Gupta, Arti Jain, Zahid Akhtar:
AI-enabled dental caries detection using transfer learning and gradient-based class activation mapping. J. Ambient Intell. Humaniz. Comput. 15(7): 3009-3033 (2024) - [j12]Saurabh Mandloi, Mohd Zuber, Rajeev Kumar Gupta:
An explainable brain tumor detection and classification model using deep learning and layer-wise relevance propagation. Multim. Tools Appl. 83(11): 33753-33783 (2024) - 2023
- [j11]Rajeev Kumar Gupta, Arti Jain, Ruchika Kumar, Rajesh Kumar Pateriya:
Capturing uncertainties through log analysis using DevOps. Int. J. Data Min. Model. Manag. 15(1): 53-78 (2023) - [j10]Yatendra Sahu, Abhishek Tripathi, Rajeev Kumar Gupta, Pranav Gautam, Rajesh Kumar Pateriya, Abhishek Gupta:
A CNN-SVM based computer aided diagnosis of breast Cancer using histogram K-means segmentation technique. Multim. Tools Appl. 82(9): 14055-14075 (2023) - 2022
- [j9]Rajeev Kumar Gupta, Pranav Gautam, Rajesh Kumar Pateriya, Priyanka Verma, Yatendra Sahu:
COVID-19 Lesion Segmentation and Classification of Lung CTs Using GMM-Based Hidden Markov Random Field and ResNet 18. Int. J. Fuzzy Syst. Appl. 11(2): 1-21 (2022) - [j8]Rajeev Kumar Gupta, Nilesh Kunhare, Rajesh Kumar Pateriya, Nikhlesh Pathik:
A Deep Neural Network for Detecting Coronavirus Disease Using Chest X-Ray Images. Int. J. Heal. Inf. Syst. Informatics 17(2): 1-27 (2022) - [j7]Rajeev Kumar Gupta, Santosh Kumar Bharti, Nikhlesh Pathik, Ashutosh Sharma:
Predicting Churn of Credit Card Customers Using Machine Learning and AutoML. Int. J. Inf. Technol. Proj. Manag. 13(3): 1-19 (2022) - [j6]Xiaoming Liu, Rajeev Kumar Gupta, Edeh Michael Onyema:
Chaotic association feature extraction of big data clustering based on Internet of Things. Informatica (Slovenia) 46(3) (2022) - [j5]Wei Jin, Rajeev Kumar Gupta, Basant Tiwari:
Communication MWSN Data Transmission Mechanism Based on a Wireless Sensor Network. J. Sensors 2022: 1-8 (2022) - [j4]Rajeev Kumar Gupta, Nilesh Kunhare, Nikhlesh Pathik, Babita Pathik:
An AI-enabled pre-trained model-based Covid detection model using chest X-ray images. Multim. Tools Appl. 81(26): 37351-37377 (2022) - [j3]Yanping Zhao, Rajeev Kumar Gupta, Edeh Michael Onyema:
Robot visual navigation estimation and target localization based on neural network. Paladyn J. Behav. Robotics 13(1): 76-83 (2022) - [c12]Santosh Kumar Bharti, Rajeev Kumar Gupta, Nikhlesh Pathik, Ashish Mishra:
Sarcasm Detection in News Headlines using Voted Classification. IC3 2022: 208-212 - 2021
- [j2]Rajeev Kumar Gupta, Yatendra Sahu, Nilesh Kunhare, Abhishek Gupta, Deo Prakash:
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. 29(6): 921-947 (2021) - 2020
- [c11]Rajeev Kumar Gupta, Balaji B, Mekanathan V, Ferose Khan Jeberla:
Challenges in scaling AI-powered distributed software product: a case study of a healthcare organization. ICGSE 2020: 6-10
2010 – 2019
- 2019
- [c10]Rajeev Kumar Gupta, Mekanathan Venkatachalapathy, Ferose Khan Jeberla:
Challenges in adopting continuous delivery and DevOps in a globally distributed product team: a case study of a healthcare organization. ICGSE 2019: 30-34 - [c9]Rajeev Kumar Gupta, Shivani Jain, Bharat Singh, Sanjay Kumar Jha:
Key Factors in Scaling up Agile Team in Matrix Organization. ISEC 2019: 23:1-23:5 - 2018
- [c8]Rajeev Kumar Gupta, Shivani Jain, Bharat Singh:
Challenges in scaling up a globally distributed legacy product: a case study of a matrix organization. ICGSE 2018: 77-81 - 2017
- [j1]Rajeev Kumar Gupta, Rajesh Kumar Pateriya:
Balance Resource Utilization (BRU) Approach for the Dynamic Load Balancing in Cloud Environment by Using AR Prediction Model. J. Organ. End User Comput. 29(4): 24-50 (2017) - [c7]Rajeev Kumar Gupta, Tulasi Anand:
Knowledge Transfer for Global Roles in GSE. ICGSE 2017: 81-85 - [c6]Rajeev Kumar Gupta, Prabhulinga Manikreddy, K. C. Arya:
Pragmatic Scrum Transformation: Challenges, Practices & Impacts During the Journey A case study in a multi-location legacy software product development team. ISEC 2017: 147-156 - 2016
- [c5]Rajeev Kumar Gupta, Prabhulinga Manik Reddy:
Adapting Agile in a Globally Distributed Software Development. HICSS 2016: 5360-5367 - [c4]Rajeev Kumar Gupta, Prabhulinga Manikreddy, Abhinandan G. V.:
Challenges in Adapting Agile Testing in a Legacy Product. ICGSE 2016: 104-108 - [c3]Rajeev Kumar Gupta, Prabhulinga Manikreddy, Sandesh Naik, Kavi Arya:
Pragmatic Approach for Managing Technical Debt in Legacy Software Project. ISEC 2016: 170-176 - 2015
- [c2]Rajeev Kumar Gupta, Prabhulinga Manikreddy:
Challenges in Adapting Scrum in Legacy Global Configurator Project. ICGSE 2015: 46-50 - 2014
- [c1]Anil Kumar, Vikas Kapur, Apangshu Saha, Rajeev Kumar Gupta, Arun Singh, Santanu Chaudhury, Sumeet Agarwal:
Distributed Implementation of Latent Rating Pattern Sharing Based Cross-domain Recommender System Approach. BigData Congress 2014: 482-489
Coauthor Index
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last updated on 2024-08-05 21:23 CEST by the dblp team
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