Applying machine learning approach in recycling
Waste generation has been increasing drastically based on the world's population and
economic growth. This has significantly affected human health, natural life, and ecology. The …
economic growth. This has significantly affected human health, natural life, and ecology. The …
Methods Used in Computer‐Aided Diagnosis for Breast Cancer Detection Using Mammograms: A Review
SZ Ramadan - Journal of healthcare engineering, 2020 - Wiley Online Library
According to the American Cancer Society's forecasts for 2019, there will be about 268,600
new cases in the United States with invasive breast cancer in women, about 62,930 new …
new cases in the United States with invasive breast cancer in women, about 62,930 new …
Performance metrics (error measures) in machine learning regression, forecasting and prognostics: Properties and typology
A Botchkarev - arXiv preprint arXiv:1809.03006, 2018 - arxiv.org
Performance metrics (error measures) are vital components of the evaluation frameworks in
various fields. The intention of this study was to overview of a variety of performance metrics …
various fields. The intention of this study was to overview of a variety of performance metrics …
Evaluation of k-nearest neighbour classifier performance for heterogeneous data sets
Distance-based algorithms are widely used for data classification problems. The k-nearest
neighbour classification (k-NN) is one of the most popular distance-based algorithms. This …
neighbour classification (k-NN) is one of the most popular distance-based algorithms. This …
A new typology design of performance metrics to measure errors in machine learning regression algorithms
A Botchkarev - Interdisciplinary Journal of Information …, 2019 - informingscience.org
Aim/Purpose: The aim of this study was to analyze various performance metrics and
approaches to their classification. The main goal of the study was to develop a new typology …
approaches to their classification. The main goal of the study was to develop a new typology …
Machine learning algorithms for smart data analysis in internet of things environment: taxonomies and research trends
Machine learning techniques will contribution towards making Internet of Things (IoT)
symmetric applications among the most significant sources of new data in the future. In this …
symmetric applications among the most significant sources of new data in the future. In this …
SBAS-InSAR based validated landslide susceptibility mapping along the Karakoram Highway: a case study of Gilgit-Baltistan, Pakistan
Geological settings of the Karakoram Highway (KKH) increase the risk of natural disasters,
threatening its regular operations. Predicting landslides along the KKH is challenging due to …
threatening its regular operations. Predicting landslides along the KKH is challenging due to …
Non-invasive glucose monitoring using optical sensor and machine learning techniques for diabetes applications
Diabetes is a major public health challenge affecting more than 451 million people.
Physiological and experimental factors influence the accuracy of non-invasive glucose …
Physiological and experimental factors influence the accuracy of non-invasive glucose …
An accurate visible light positioning system using regenerated fingerprint database based on calibrated propagation model
This paper reports the development of a practical visible light positioning (VLP) system using
received signal strength. The indoor localization system is accurate and easy to train and …
received signal strength. The indoor localization system is accurate and easy to train and …
Convolutional neural network for maize leaf disease image classification
M Syarief, W Setiawan - … Computing Electronics and Control), 2020 - telkomnika.uad.ac.id
This article discusses the maize leaf disease image classification. The experimental images
consist of 200 images with 4 classes: healthy, cercospora, common rust and northern leaf …
consist of 200 images with 4 classes: healthy, cercospora, common rust and northern leaf …