[HTML][HTML] Machine-learning-based disease diagnosis: A comprehensive review

MM Ahsan, SA Luna, Z Siddique - Healthcare, 2022 - mdpi.com
Globally, there is a substantial unmet need to diagnose various diseases effectively. The
complexity of the different disease mechanisms and underlying symptoms of the patient …

A review of machine learning's role in cardiovascular disease prediction: recent advances and future challenges

MA Naser, AA Majeed, M Alsabah, TR Al-Shaikhli… - Algorithms, 2024 - mdpi.com
Cardiovascular disease is the leading cause of global mortality and responsible for millions
of deaths annually. The mortality rate and overall consequences of cardiac disease can be …

[HTML][HTML] High resolution photovoltaic power generation potential assessments of rooftop in China

L Wang, S Xu, Y Gong, J Ning, X Zhang, Y Zhao - Energy Reports, 2022 - Elsevier
Rooftop photovoltaic system plays an important role in solar energy power generation
especially in urban. In this paper, we present an assessment method for the PV power …

Number of road accidents predicting using deep learning-based lstm development models

J Siswanto, U Rahardja, I Sembiring… - … on Cyber and IT …, 2023 - ieeexplore.ieee.org
Road accidents cause chaos and state financial losses every year. Road accidents cannot
be stopped but can be controlled with predictions. The existing road accident prediction …

[PDF][PDF] Exploration of multiple linear regression with ensembling schemes for roof fall assessment using machine learning

MS Devi, S Basheer, RM Mathew - International Journal of Innovative …, 2019 - academia.edu
Roof fall of the building is the major threat to the society as it results in severe damages to
the life of the people. Recently, engineers are focusing on the prediction of roof fall of the …

[PDF][PDF] Exploration of Neighbor Kernels and Feature Estimators for Heart Disease Prediction using Machine Learning

RM Mathew, MS Devi, S Basheer - International Journal of Innovative …, 2019 - academia.edu
In the growing era of technological world, the people are suffered with various diseases. The
common disease faced by the population irrespective of the age is the heart disease …

[PDF][PDF] Swindling Shonky Anatomization of Credit Card Transactions using Machine Learning

MS Devi, NVS Ram, AS Vamshi, B Bharath… - International Journal of … - academia.edu
With the fast moving technological advancement, the internet usage has been increased
rapidly in all the fields. The money transactions for all the applications like online shop** …

A Study on TVAE-Based Data Augmentation and Verification to Predict Physiologically Active Ingredients of Medicine Plants According to Climate Change

H Lee, CJ Chae - … on Artificial Intelligence in Information and …, 2024 - ieeexplore.ieee.org
Climate change, including rising temperatures, droughts, and floods, has recently become a
global concern. In the agricultural sector, it is anticipated that climate change will …

[PDF][PDF] Jurnal Sains, Nalar, dan Aplikasi Teknologi Informasi

J Siswanto, B Daniawan, H Haryani, P Rusmandani - 2024 - journal.uii.ac.id
Many have used the prediction of the number of road accidents, but it is still rare to find those
who use and test prediction models that are not suitable. Predictive models that have been …

[PDF][PDF] Disquisition of Sentiment Inquiry with Hashing and Counting Vectorizer using Machine Learning Classification

KV Rao, MS Devi - International Journal of Innovative Technology …, 2019 - researchgate.net
With the rapid growth in technology, analysis of feedback and reviews by the customers in
companies and industries becomes a major challenge. The profit of the company mainly …