[HTML][HTML] Towards an automatic early stress recognition system for office environments based on multimodal measurements: A review
Stress is a major problem of our society, as it is the cause of many health problems and
huge economic losses in companies. Continuous high mental workloads and non-stop …
huge economic losses in companies. Continuous high mental workloads and non-stop …
Real-time human ambulation, activity, and physiological monitoring: Taxonomy of issues, techniques, applications, challenges and limitations
Automated methods of real-time, unobtrusive, human ambulation, activity, and wellness
monitoring and data analysis using various algorithmic techniques have been subjects of …
monitoring and data analysis using various algorithmic techniques have been subjects of …
An up-to-date comparison of state-of-the-art classification algorithms
Current benchmark reports of classification algorithms generally concern common classifiers
and their variants but do not include many algorithms that have been introduced in recent …
and their variants but do not include many algorithms that have been introduced in recent …
MIFS-ND: A mutual information-based feature selection method
Feature selection is used to choose a subset of relevant features for effective classification of
data. In high dimensional data classification, the performance of a classifier often depends …
data. In high dimensional data classification, the performance of a classifier often depends …
Machine learning models for classification and identification of significant attributes to detect type 2 diabetes
Abstract Type 2 Diabetes (T2D) is a chronic disease characterized by abnormally high blood
glucose levels due to insulin resistance and reduced pancreatic insulin production. The …
glucose levels due to insulin resistance and reduced pancreatic insulin production. The …
A novel permission-based Android malware detection system using feature selection based on linear regression
With the developments in mobile and wireless technology, mobile devices have become an
important part of our lives. While Android is the leading operating system in market share, it …
important part of our lives. While Android is the leading operating system in market share, it …
[HTML][HTML] A machine learning application in wine quality prediction
The wine business relies heavily on wine quality certification. The excellence of New
Zealand Pinot noir wines is well-known worldwide. Our major goal in this research is to …
Zealand Pinot noir wines is well-known worldwide. Our major goal in this research is to …
Hybrid dimension reduction by integrating feature selection with feature extraction method for text clustering
High dimensionality of the feature space is one of the major concerns owing to
computational complexity and accuracy consideration in the text clustering. Therefore …
computational complexity and accuracy consideration in the text clustering. Therefore …
A machine-learning framework for predicting multiple air pollutants' concentrations via multi-target regression and feature selection
S Masmoudi, H Elghazel, D Taieb, O Yazar… - Science of the Total …, 2020 - Elsevier
Air pollution is considered one of the biggest threats for the ecological system and human
existence. Therefore, air quality monitoring has become a necessity in urban and industrial …
existence. Therefore, air quality monitoring has become a necessity in urban and industrial …
Modified frequency-based term weighting schemes for text classification
With the rapid growth of textual content on the Internet, automatic text categorization is a
comparatively more effective solution in information organization and knowledge …
comparatively more effective solution in information organization and knowledge …