Big Data and AI in Natural Product Drug Discovery: Uncovering Hidden Medicinal Chemistry Gems
BS Panigrahi, A Dogra, K Sivakumar… - 2024 Ninth …, 2024 - ieeexplore.ieee.org
As Big Data and Artificial Intelligence (AI) have become more integrated, they have
completely changed many fields, including drug development. Natural goods come from …
completely changed many fields, including drug development. Natural goods come from …
Accuracy enhancement in Detection of Malicious Social Bots Using Reinforcement Learning Technique with URL Features in Twitter Network Through Convolutional …
MR Kumar, PS Bharathi, G Sajiv - 2024 Ninth International …, 2024 - ieeexplore.ieee.org
This research aims to use Twitter's network's universal resource locator properties, in
conjunction with a convolutional neural network (CNN) instead of a K-nearest neighbor …
conjunction with a convolutional neural network (CNN) instead of a K-nearest neighbor …
Robust AI-Enabled Electronic Components Authentication and Anti-Counterfeiting
EA Banu, R Priyanka… - 2024 Ninth …, 2024 - ieeexplore.ieee.org
In consumer electronics, aircraft, health care, and defense, fake electronic parts compromise
system security and reliability. This study presents an AI-powered electrical component …
system security and reliability. This study presents an AI-powered electrical component …
Cybersecurity Enabled Improved BigData Privacy Management Measures to Preserve Information With Privacy Concerns
WA Daden - 2024 Ninth International Conference on Science …, 2024 - ieeexplore.ieee.org
In today's data-driven landscape, preserving the privacy and security of sensitive information
within Big Data environments, particularly in sectors like healthcare, is of paramount …
within Big Data environments, particularly in sectors like healthcare, is of paramount …
Prediction and Finding Spam in Social Network Using Convolutional Neural Network Over Ridge Linear Classification to Improve Precision Rate
KB sri Harshitha, AG Soundari - 2024 Ninth International …, 2024 - ieeexplore.ieee.org
The suggested research would build a system for detecting data intrusions in order to stop
data theft by contrasting the general performance of two distinct machine learning (ML) …
data theft by contrasting the general performance of two distinct machine learning (ML) …
Enhanced Accuracy and Prediction of Novel Random Forest Algorithm Compared over K-Nearest Neighbor in Software Bug Prediction System
KS Bharath, TJ Nagalakshmi… - … on Advances in …, 2024 - ieeexplore.ieee.org
The purpose of this research is to compare and contrast the effectiveness of the traditional K-
Nearest Neighbor (KNN) method with a new approach based on random forests (RF) for …
Nearest Neighbor (KNN) method with a new approach based on random forests (RF) for …