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Nageswara Rao Moparthi
PeerJ Editor & Author
2,300 Points

Contributions by role

Editor 2,300

Contributions by subject area

Artificial Intelligence
Computer Networks and Communications
Embedded Computing
Security and Privacy
Data Mining and Machine Learning
Software Engineering
Algorithms and Analysis of Algorithms
Data Science
Databases
Optimization Theory and Computation
Neural Networks
Human-Computer Interaction
Natural Language and Speech
Bioinformatics
Emerging Technologies
Internet of Things
Computer Vision
Social Computing
Spatial and Geographic Information Systems
World Wide Web and Web Science
Adaptive and Self-Organizing Systems
Brain-Computer Interface
Cryptography
Distributed and Parallel Computing
Blockchain
Agents and Multi-Agent Systems
Computer Aided Design

Nageswara Rao Moparthi

PeerJ Editor & Author

Summary

Dr. M. Nageswara Rao is a Professor within the Dept. of Computer Science and Engineering, K L University, India. He has over 19 years of experience in the S/W industry and academia. Dr. M. Nageswara Rao has published over 20 articles in reputed international journals, written 2 books and filed 2 Indian patents. He is a reviewer for a number of SCI/SCIE journals, including IEEE Access and Journal of Big Data(JBD) Journal of Database Management, Cluster Computing , NHIB and Information Sciences; and Scopus journals, such as IJAIP, IJDS, CIT and IJECE. Dr. M. Nageswara Rao is also an associate TPC member for the following International conferences: ICACII-2019-Springer (India), ICCET-2020-IEEE/WOS (New Zealand), ITIoT/ICCCS 2020-Shanghai (China), JCICE-Sydney (Australia), BDET-2020-ACM Digital Library (Singapore) and ICCMA 2019-IEEE (TU Delft, Netherlands).

Dr. M. Nageswara Rao's research areas are listed below:

1.Data Mining
2. Data Analytics
3.Machine Learning
4. Software Engineering
5. Artificial Intelligence

Artificial Intelligence Computer Networks & Communications Data Mining & Machine Learning Data Science Databases Internet of Things Software Engineering

Editorial Board Member

PeerJ Computer Science

Work details

PROFESSOR

KL University
June 2019
Computer Science and Engineering
I am working as professor in Department of Computer Science and Engineering. I had 7 years of research cum teaching and 12 years IT industry.

Associate Professor

Velagapudi Ramakrishna siddhartha Engineering College
December 2016 - April 2019
Computer Science and Engineering

Websites

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  • LinkedIn

PeerJ Contributions

  • Edited 20

Academic Editor on

December 5, 2024
AI in dermatology: a comprehensive review into skin cancer detection
Kavita Behara, Ernest Bhero, John Terhile Agee
https://doi.org/10.7717/peerj-cs.2530
November 29, 2024
Enhancing river and lake wastewater reuse recommendation in industrial and agricultural using AquaMeld techniques
J. Priskilla Angel Rani, C. Yesubai Rubavathi
https://doi.org/10.7717/peerj-cs.2488
November 11, 2024
A comparative analysis of variants of machine learning and time series models in predicting women’s participation in the labor force
Rasha Elstohy, Nevein Aneis, Eman Mounir Ali
https://doi.org/10.7717/peerj-cs.2430
September 23, 2024
Revolutionizing diabetic eye disease detection: retinal image analysis with cutting-edge deep learning techniques
Banumathy D, Swathi Angamuthu, Prasanalakshmi Balaji, Mousmi Ajay Chaurasia
https://doi.org/10.7717/peerj-cs.2186
March 27, 2024
Structural health monitoring of aircraft through prediction of delamination using machine learning
Rajeswari D, Osamah Ibrahim Khalaf, Srinivasan R, Pushpalatha M, Habib Hamam
https://doi.org/10.7717/peerj-cs.1955
October 12, 2023
Heart disease severity level identification system on Hyperledger consortium network
Sasikumar R., Karthikeyan P.
https://doi.org/10.7717/peerj-cs.1626
August 7, 2023
A federated learning framework based on transfer learning and knowledge distillation for targeted advertising
Caiyu Su, Jinri Wei, Yuan Lei, Jiahui Li
https://doi.org/10.7717/peerj-cs.1496
July 20, 2023
CAM-YOLO: tomato detection and classification based on improved YOLOv5 using combining attention mechanism
Seetharam Nagesh Appe, Arulselvi G, Balaji GN
https://doi.org/10.7717/peerj-cs.1463
February 15, 2023
Healthy-unhealthy animal detection using semi-supervised generative adversarial network
Shubh Almal, Apoorva Reddy Bagepalli, Prajjwal Dutta, Jyotismita Chaki
https://doi.org/10.7717/peerj-cs.1250
September 30, 2022
Artificial intelligence framework for modeling and predicting crop yield to enhance food security in Saudi Arabia
Mosleh Hmoud Al-Adhaileh, Theyazn H.H. Aldhyani
https://doi.org/10.7717/peerj-cs.1104
September 20, 2022
OES-Fed: a federated learning framework in vehicular network based on noise data filtering
Yuan Lei, Shir Li Wang, Caiyu Su, Theam Foo Ng
https://doi.org/10.7717/peerj-cs.1101
July 29, 2022
Is gender-based violence a confluence of culture? Empirical evidence from social media
Rimjhim, Sourav Dandapat
https://doi.org/10.7717/peerj-cs.1051
April 12, 2022
How to get best predictions for road monitoring using machine learning techniques
Imen Ferjani, Suleiman Ali Alsaif
https://doi.org/10.7717/peerj-cs.941
March 2, 2022
Development of a stock trading system based on a neural network using highly volatile stock price patterns
Jangmin Oh
https://doi.org/10.7717/peerj-cs.915
February 9, 2022
Bots in software engineering: a systematic mapping study
Sivasurya Santhanam, Tobias Hecking, Andreas Schreiber, Stefan Wagner
https://doi.org/10.7717/peerj-cs.866
February 9, 2022
Deep convolutional neural networks for regular texture recognition
Ni Liu, Mitchell Rogers, Hua Cui, Weiyu Liu, Xizhi Li, Patrice Delmas
https://doi.org/10.7717/peerj-cs.869
November 16, 2021
Software defect prediction using hybrid model (CBIL) of convolutional neural network (CNN) and bidirectional long short-term memory (Bi-LSTM)
Ahmed Bahaa Farid, Enas Mohamed Fathy, Ahmed Sharaf Eldin, Laila A. Abd-Elmegid
https://doi.org/10.7717/peerj-cs.739
October 29, 2021
Inheritance metrics feats in unsupervised learning to classify unlabeled datasets and clusters in fault prediction
Syed Rashid Aziz, Tamim Ahmed Khan, Aamer Nadeem
https://doi.org/10.7717/peerj-cs.722
September 29, 2021
IoT-based intrusion detection system using convolution neural networks
Abdullah Aljumah
https://doi.org/10.7717/peerj-cs.721
September 20, 2021
Determining the number of hidden layer and hidden neuron of neural network for wind speed prediction
Muhammad Ibnu Choldun Rachmatullah, Judhi Santoso, Kridanto Surendro
https://doi.org/10.7717/peerj-cs.724