[PDF][PDF] Disease prediction in healthcare: an ensemble learning perspective

RSC Aman, U Chhillar - National Conference on Computational …, 2023 - researchgate.net
Disease prediction is a critical component of healthcare, as early detection and accurate
diagnosis of diseases can improve patient outcomes and reduce healthcare costs. In …

Transfer learning and explainable artificial intelligence enhance the classification of date fruit varieties

N Zaki, H Singh, A Krishnan, A Alnaqbi… - … on Innovations in …, 2023 - ieeexplore.ieee.org
This study proposes a novel approach for the classification of date fruits using image
processing, convolutional neural networks (CNN), and explainable artificial intelligence (AI) …

A comprehensive study of machine learning algorithms for date fruit genotype classification

MV Subbarao, ULS Rani, JTS Sindhu… - 2023 International …, 2023 - ieeexplore.ieee.org
There are over 200 distinct date fruit varieties around the globe. Physical characteristics
such as size and structure (collectively known as morphological attributes), colour, and other …

[HTML][HTML] Short-Term Wind Power Prediction Based on a Modified Stacking Ensemble Learning Algorithm

Y Yang, Y Li, L Cheng, S Yang - Sustainability, 2024 - mdpi.com
A high proportion of new energy has become a prominent feature of modern power systems.
Due to the intermittency, volatility, and strong randomness in wind power generation, an …

Optimasi Algoritma Machine Learning Menggunakan Teknik Bagging Pada Klasifikasi Diagnosis Kanker Payudara

R Pramudita, S Muis, N Safitri, F Shafirawati - TEMATIK, 2024 - jurnal.plb.ac.id
Algoritma klasifikasi memiliki peran yang sangat penting dalam Machine Learning, namun
tidak semua algoritma memiliki kinerja yang sama dalam setiap kasus. Kinerja algoritma …