Brain tumor segmentation of MRI images: A comprehensive review on the application of artificial intelligence tools
Background Brain cancer is a destructive and life-threatening disease that imposes
immense negative effects on patients' lives. Therefore, the detection of brain tumors at an …
immense negative effects on patients' lives. Therefore, the detection of brain tumors at an …
On hyperparameter optimization of machine learning algorithms: Theory and practice
Abstract Machine learning algorithms have been used widely in various applications and
areas. To fit a machine learning model into different problems, its hyper-parameters must be …
areas. To fit a machine learning model into different problems, its hyper-parameters must be …
[HTML][HTML] Enhancing supply chain agility and sustainability through machine learning: Optimization techniques for logistics and inventory management
Background: In the current global market, supply chains are increasingly complex,
necessitating agile and sustainable management strategies. Traditional analytical methods …
necessitating agile and sustainable management strategies. Traditional analytical methods …
dbscan: Fast density-based clustering with R
This article describes the implementation and use of the R package dbscan, which provides
complete and fast implementations of the popular density-based clustering algorithm …
complete and fast implementations of the popular density-based clustering algorithm …
IoT data analytics in dynamic environments: From an automated machine learning perspective
With the wide spread of sensors and smart devices in recent years, the data generation
speed of the Internet of Things (IoT) systems has increased dramatically. In IoT systems …
speed of the Internet of Things (IoT) systems has increased dramatically. In IoT systems …
A novel ranking-based clustering approach for hyperspectral band selection
Through imaging the same spatial area by hyperspectral sensors at different spectral
wavelengths simultaneously, the acquired hyperspectral imagery often contains hundreds of …
wavelengths simultaneously, the acquired hyperspectral imagery often contains hundreds of …
[HTML][HTML] Missing value imputation affects the performance of machine learning: A review and analysis of the literature (2010–2021)
Recently, numerous studies have been conducted on Missing Value Imputation (MVI),
intending the primary solution scheme for the datasets containing one or more missing …
intending the primary solution scheme for the datasets containing one or more missing …
Multi-feature, multi-modal, and multi-source social event detection: A comprehensive survey
The tremendous growth of event dissemination over social networks makes it very
challenging to accurately discover and track exciting events, as well as their evolution and …
challenging to accurately discover and track exciting events, as well as their evolution and …
Spatial structures of tourism destinations: A trajectory data mining approach leveraging mobile big data
The advancement of mobile technology provides an opportunity to obtain the real-time
information of travelers, such as their spatial and temporal behaviors, during their visits to a …
information of travelers, such as their spatial and temporal behaviors, during their visits to a …
[HTML][HTML] Reviewing the application of machine learning methods to model urban form indicators in planning decision support systems: Potential, issues and …
Modern cities dynamically face several challenges including digitalization, sustainability,
resilience and economic development. Urban planners and designers must develop urban …
resilience and economic development. Urban planners and designers must develop urban …