A systematic review on sentiment analysis approaches

D Srivastava, VK Soni - 2022 2nd International Conference on …, 2022 - ieeexplore.ieee.org
With the rise of social media on the internet, one of the most important study fields is
sentiment analysis. Millions of people trade their thoughts, ideas, expressions, sentiments …

Deep Learning for Automated Lesion Detection in Mammography

T Marimuthu, VA Rajan, GV Londhe… - 2023 IEEE 2nd …, 2023 - ieeexplore.ieee.org
Deep learning for automated lesion detection in mammography has gained widespread
attention due to its potential to reduce the time needed for radiologists to detect lesions …

A Comprehensive analysis of Network Coding for Efficient Wireless Network Communication

VA Rajan, T Marimuthu, GV Londhe… - 2023 IEEE 2nd …, 2023 - ieeexplore.ieee.org
In the current generation of wireless networks, network coding has become popular for
efficient communication of data over the wireless network. The network coding technique …

A framework for detection of cyber attacks by the classification of intrusion detection datasets

D Srivastava, R Singh, C Chakraborty… - Microprocessors and …, 2024 - Elsevier
Recognition of the consequence for advanced tools and techniques to secure the network
infrastructure from the security risks has prompted the advancement of many machine …

Anomaly Detection and Time Series Analysis

A Anand, D Srivastava, L Rani - 2023 International Conference …, 2023 - ieeexplore.ieee.org
Anomaly detection and time series analysis are essential techniques in data science, with
numerous applications in various domains. Anomaly detection involves identifying patterns …

Enhanced performance optimization of Network Coding for Enhancing Security and Performance in Wireless Networks

R Sangeetha, P Vishwakarma… - 2023 International …, 2023 - ieeexplore.ieee.org
Network coding is a promising method for boosting wireless networks' performance and
security. It is an effective coding method that lowers bandwidth and latency, boosts …

Prediction of Coronavirus Using Various Machine Learning Algorithms

V Sharma, L Rani, D Srivastava - … Conference on IoT …, 2023 - ieeexplore.ieee.org
Human life and health are in danger due to the coronavirus pandemic, which eventually
reduces production. Artificial intelligence is crucial for predicting coronavirus cases because …

[PDF][PDF] Analysis of different Hybrid methods for Intrusion Detection System

D Srivastava, R Singh, V Singh - International Journal Of …, 2019 - researchgate.net
Accepted: 23/May/2019, Published: 31/May/2019 Abstract-Critical incidents targeting
National Critical Infrastructures are happening more and more often. Attacks, that happens …

Value Prediction of Real Estate Using Machine Learning

I Danona, L Rani, D Srivastava - 2023 1st DMIHER …, 2023 - ieeexplore.ieee.org
Real estate is property in the form of land and houses. Its prices depend on location, number
of bedrooms, society, area, etc. India is second in the world regarding population growth, so …

An innovative analysis of Leveraging Transfer Learning for Accurate Image Recognition

VA Rajan, T Marimuthu, RP Shukla… - 2023 IEEE 2nd …, 2023 - ieeexplore.ieee.org
Transfer learning is a powerful technique used to leverage knowledge learned from one
domain and transfer it to another domain, reducing the time needed to train a machine …