N. Srinivasu

According to our database, N. Srinivasu authored at least 14 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

Design and deep learning edge computing method for person identification using video analytics system.

M. Srilatha, N. Srinivasu

Soft Comput., May, 2026

Deep ensemble model with blockchain technology for lung cancer detection with secured data sharing.

Hari Krishna Kalidindi, N. Srinivasu

Comput. Biol. Chem., 2026

2024

Design of an efficient graph-based traversing method for establishing authentication mechanism in cloud.

Puvvada Nagesh, N. Srinivasu

Int. J. Model. Simul. Sci. Comput., August, 2024

Security and privacy preservation using constructive hierarchical data-sharing approach in cloud environment.

Rajesh Bingu, S. Jothilakshmi, N. Srinivasu

Inf. Secur. J. A Glob. Perspect., January, 2024

2023

Modeling an efficient authentic provable data possession model using legacy filter model for IOT and cloud environment.

Puvvada Nagesh, N. Srinivasu

Inf. Secur. J. A Glob. Perspect., November, 2023

An intelligent multiclass deep classifier-based intrusion detection system for cloud environment.

Rajesh Bingu, S. Jothilakshmi, N. Srinivasu

Concurr. Comput. Pract. Exp., 2023

An Enhanced Mammogram Classification to Detect Breast Cancer using Boosted PSO Feature Selection and Multi-Feature Analysis.

L. Kanya Kumari, N. Srinivasu, B. Naga Jagadesh

Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023

2022

A comprehensive study of data intelligence in the context of big data analytics.

Chitrakant Banchhor, N. Srinivasu

Web Intell., 2022

Grey Wolf Shuffled Shepherd Optimization Algorithm-Based Hybrid Deep Learning Classifier for Big Data Classification.

Chitrakant Banchhor, N. Srinivasu

Int. J. Swarm Intell. Res., 2022

Holoentropy based Correlative Naive Bayes classifier and MapReduce model for classifying the big data.

Chitrakant Banchhor, N. Srinivasu

Evol. Intell., 2022

2021

Analysis of Bayesian optimization algorithms for big data classification based on Map Reduce framework.

Chitrakant Banchhor, N. Srinivasu

J. Big Data, 2021

2020

FCNB: Fuzzy Correlative Naive Bayes Classifier with MapReduce Framework for Big Data Classification.

Chitrakant Banchhor, N. Srinivasu

J. Intell. Syst., 2020

Integrating Cuckoo search-Grey wolf optimization and Correlative Naive Bayes classifier with Map Reduce model for big data classification.

Chitrakant Banchhor, N. Srinivasu

Data Knowl. Eng., 2020

2019

Accurate Decision-making System for Mining Environment using Li-Fi 5G Technology over IoT Framework.

Mahammad Shareef Mekala, P. Viswanathan, N. Srinivasu, G. P. S. Varma

Proceedings of the International Conference on contemporary Computing and Informatics, 2019