A review on machine learning models in injection molding machines

SK Selvaraj, A Raj… - … in Materials Science …, 2022 - Wiley Online Library
One of the most suitable methods for the mass production of complicated shapes is injection
molding due to its superior production rate and quality. The key to producing higher quality …

A Comprehensive Investigation of the Performances of Different Machine Learning Classifiers with SMOTE‐ENN Oversampling Technique and Hyperparameter …

M Muntasir Nishat, F Faisal, I Jahan Ratul… - Scientific …, 2022 - Wiley Online Library
Heart failure is a chronic cardiac condition characterized by reduced supply of blood to the
body due to impaired contractile properties of the muscles of the heart. Like any other …

Privacy prevention of big data applications: A systematic literature review

F Rafiq, MJ Awan, A Yasin, H Nobanee… - SAGE …, 2022 - journals.sagepub.com
This paper focuses on privacy and security concerns in Big Data. This paper also covers the
encryption techniques by taking existing methods such as differential privacy, k-anonymity, T …

Enhancing dynamic ECG heartbeat classification with lightweight transformer model

L Meng, W Tan, J Ma, R Wang, X Yin… - Artificial Intelligence in …, 2022 - Elsevier
Arrhythmia is a common class of Cardiovascular disease which is the cause for over 31% of
all death over the world, according to WHOs' report. Automatic detection and classification of …

On supervised class-imbalanced learning: An updated perspective and some key challenges

S Das, SS Mullick, I Zelinka - IEEE Transactions on Artificial …, 2022 - ieeexplore.ieee.org
The problem of class imbalance has always been considered as a significant challenge to
traditional machine learning and the emerging deep learning research communities. A …

[PDF][PDF] Machine learning-based soft computing regression analysis approach for crime data prediction

RM Aziz, A Hussain, P Sharma, P Kumar - Karbala International Journal of …, 2022 - iasj.net
The crime rate in India is considerably increasing day by day. Consequently, the data
associated with crime is also increasing, opening doors for data-driven approaches to these …

Similarity‐Based Method with Multiple‐Feature Sampling for Predicting Drug Side Effects

Z Wu, L Chen - Computational and mathematical methods in …, 2022 - Wiley Online Library
Drugs can treat different diseases but also bring side effects. Undetected and unaccepted
side effects for approved drugs can greatly harm the human body and bring huge risks for …

An arrhythmia classification model based on vision transformer with deformable attention

Y Dong, M Zhang, L Qiu, L Wang, Y Yu - Micromachines, 2023 - mdpi.com
The electrocardiogram (ECG) is a highly effective non-invasive tool for monitoring heart
activity and diagnosing cardiovascular diseases (CVDs). Automatic detection of arrhythmia …

Public's mental health monitoring via sentimental analysis of financial text using machine learning techniques

SA Alanazi, A Khaliq, F Ahmad, N Alshammari… - International Journal of …, 2022 - mdpi.com
Public feelings and reactions associated with finance are gaining significant importance as
they help individuals, public health, financial and non-financial institutions, and the …

Deep Dive into Fake News Detection: Feature-Centric Classification with Ensemble and Deep Learning Methods

FK Alarfaj, JA Khan - Algorithms, 2023 - mdpi.com
The online spread of fake news on various platforms has emerged as a significant concern,
posing threats to public opinion, political stability, and the dissemination of reliable …