A review on imbalanced data classification techniques

SJ Basha, SR Madala, K Vivek… - 2022 International …, 2022 - ieeexplore.ieee.org
Most all datasets that hold real-time data have an imbalanced organization of class
instances. The total quantity of instances in certain classes is substantially greater than other …

Deep learning and machine learning based efficient framework for image based plant disease classification and detection

P Nancy, H Pallathadka, M Naved… - 2022 International …, 2022 - ieeexplore.ieee.org
Without agriculture, human existence would be inconceivable. A large percentage of the
world's population relies on agriculture for their daily needs. In addition, it creates a big …

Robust optimization based extreme learning machine for sentiment analysis in big data

P Menakadevi, J Ramkumar - 2022 International Conference …, 2022 - ieeexplore.ieee.org
Increasing use of social media has increased consumer interest in reading product
evaluations and ratings before making a purchase. There is now a mechanism to examine …

Energy consumption minimization in cognitive radio mobile ad-hoc networks using enriched ad-hoc on-demand distance vector protocol

J Ramkumar, C Kumuthini… - 2022 International …, 2022 - ieeexplore.ieee.org
Ad-hoc networks with poor routing affects the complete network and it leads to enhanced
delay in delivering the packets to destination and consumption of energy in an exhaustive …

A new Diagnosis using a Parkinson's Disease XGBoost and CNN-based classification model Using ML Techniques

A Kumar, BR Bhatt, P Anitha, AK Yadav… - 2022 International …, 2022 - ieeexplore.ieee.org
Parkinson's disease (PD) is a neurological condition that affects the brain of the human body
and causes difficultywalking, shaking, stiffness, and loss of balance and coordination. Most …

Development of machine learning based framework for classification and prediction of students in virtual classroom environment

B Loganathan, I Patra, V Garchar… - 2022 International …, 2022 - ieeexplore.ieee.org
MOOCs provide a new way to train students, reshape the way students learn, and attract
students from all over the world to participate in their courses. Machine learning is a key …

Customer Segmentation Based on Sentimental Analysis

TL Maheswari, EI Rashmi… - 2022 International …, 2022 - ieeexplore.ieee.org
SA is commonly known as Sentimental analysis is a continuous field of research on analysis
consumer emotions on purchase of products. This survey paper tackles an inclusive survey …

Comparative analysis of supervised machine learning techniques for AQI prediction

A Pant, S Sharma, M Bansal… - … Conference on Advanced …, 2022 - ieeexplore.ieee.org
Air pollution is a significant challenge in a populated area. This paper focuses on predicting
air quality index using supervised machine learning techniques in the capital city of …

Unsupervised Feature Learning for Text Pattern Analysis with Emotional Data Collection: A Novel System for Big Data Analytics

Y Perwej, E Bhuvaneswari, S Kumar… - 2022 International …, 2022 - ieeexplore.ieee.org
When it comes to our everyday life, emotions have a critical role to play. It goes without
saying that it is critical in the context of mobile–computer interaction. In social and mobile …

Medical healthcare system with hybrid block based predictive models for quality preserving in medical images using machine learning techniques

M Aruna, V Arulkumar, M Deepa… - 2022 International …, 2022 - ieeexplore.ieee.org
Cloud technology is a business strategy that aims to provide the necessary material to
customers depending on their needs. Individuals and cloud businesses alike have …