[HTML][HTML] A novel approach for heart disease prediction using strength scores with significant predictors

A Yazdani, KD Varathan, YK Chiam, AW Malik… - BMC medical informatics …, 2021 - Springer
Background Cardiovascular disease is the leading cause of death in many countries.
Physicians often diagnose cardiovascular disease based on current clinical tests and …

[PDF][PDF] Predictive Maintenance-as-a-Service (PdMaaS) Using Industrial Internet of Things (IIoT) and machine learning for Mechanical Equipment Used into Indian Ship …

P Rao, P Jayasree - Int. J. Mech. Eng, 2022 - kalaharijournals.com
Indian shipbuilding has had a maritime heritage from the earliest days of civilization. The
coastal regions of India are the primary locations for the country's shipbuilding industry …

Analysis for Online Product Recommendation with recalling enhanced recurrent neural network-based sentiment

N Kamal, V Sathiya, D Jayashree, FH Shajin - Knowledge and Information …, 2024 - Springer
Recommendation system is used to filter the information according to the customer's
satisfaction. Based on consumer reviews, this approach discovers and compares product …

[HTML][HTML] Digital twin enhanced agile design of ship pipeline systems

X Wang, X Shan, K Cui, Z Zhang - Digital Twin, 2024 - digitaltwin1.org
The shipbuilding industry plays a pivotal role in national strategic security and economic
development, and one critical challenge is the pipeline layout design problem. It …

Prediction of Powerplant Performance by Machine Learning Technique

FE Gunawan, R Wulandari… - 2023 IEEE 8th …, 2023 - ieeexplore.ieee.org
The IEEE Standard 762-1987 introduced a comprehensive set of 25 indices for reporting
power plant reliability, availability, and productivity. The sheer number of indices can be …

[PDF][PDF] The Implementation of K-Means Clustering in Coal-Fired Power Plant Performance

D Wahyuningtyas, M Asrol - International Journal of Emerging …, 2022 - researchgate.net
Performance monitoring for power plant industry is important to know current condition and
determined the prior way for improvement strategy. This study aims to classified …

[PDF][PDF] Predictive Analytics and Deep Learning Models for the Prediction of the Length of Stay, Diabetes, Colorectal Cancer and Cardiovascular Diseases in Patients

A Kaur, J Kaur - 2024 - researchgate.net
There is an abundance of information everywhere, especially in the healthcare sector, which
needs to be objectively diagnosed. The healthcare sector has a gap where there are …

An improved associative classification model using fuzzy parameterized soft set-based decision for text classification

D Rohidin - 2023 - eprints.uthm.edu.my
Text classification is applicable in various problem domains, including marketing, security,
and biomedical. One of the potential text classifiers is the well-known associative …

[PDF][PDF] Comprehensive Analysis of IoT with Artificial Intelligence to Predictive Maintenance Optimization for Indian Shipbuilding

PNVS Rao, PVY Jayasree - academia.edu
░ ABSTRACT-The extensive review of the literature evaluation on predictive maintenance
(PdM) in this work focuses on system designs, goals, and methodologies. In the business …

[HTML][HTML] Determination of factors related to coronary heart diseases by associative classification technique

Z Küçükakçalı, İB Çiçek - Middle Black Sea Journal of Health …, 2021 - dergipark.org.tr
Objective: The goal of this study is to categorize CHD using the relational classification
approach on a CHD dataset made up of open access patients with and without CHD, as well …