Machine learning in medical applications: A review of state-of-the-art methods
Applications of machine learning (ML) methods have been used extensively to solve various
complex challenges in recent years in various application areas, such as medical, financial …
complex challenges in recent years in various application areas, such as medical, financial …
A review on weed detection using ground-based machine vision and image processing techniques
A Wang, W Zhang, X Wei - Computers and electronics in agriculture, 2019 - Elsevier
Weeds are among the major factors that could harm crop yield. With the advances in
electronic and information technologies, machine vision combined with image processing …
electronic and information technologies, machine vision combined with image processing …
[HTML][HTML] A structure-based drug discovery paradigm
Structure-based drug design is becoming an essential tool for faster and more cost-efficient
lead discovery relative to the traditional method. Genomic, proteomic, and structural studies …
lead discovery relative to the traditional method. Genomic, proteomic, and structural studies …
An overview and comparison of supervised data mining techniques for student exam performance prediction
N Tomasevic, N Gvozdenovic, S Vranes - Computers & education, 2020 - Elsevier
Recent increase in the availability of learning data has given educational data mining an
importance and momentum, in order to better understand and optimize the learning process …
importance and momentum, in order to better understand and optimize the learning process …
The impact of artificial intelligence and blockchain on the accounting profession
Recent developments in technology have introduced dramatic changes to the practice of the
accounting profession. This paper provides a comprehensive review of current …
accounting profession. This paper provides a comprehensive review of current …
A review of deep learning with special emphasis on architectures, applications and recent trends
Deep learning (DL) has solved a problem that a few years ago was thought to be intractable—
the automatic recognition of patterns in spatial and temporal data with an accuracy superior …
the automatic recognition of patterns in spatial and temporal data with an accuracy superior …
Prediction of seasonal urban thermal field variance index using machine learning algorithms in Cumilla, Bangladesh
The intensity and formation of urban heat island (UHI) phenomena are closely related to
land use/land cover (LULC) and land surface temperature (LST) change. The effect of UHI …
land use/land cover (LULC) and land surface temperature (LST) change. The effect of UHI …
Artificial neural network systems
Artificial Neural Networks is a calculation method that builds several processing units based
on interconnected connections. The network consists of an arbitrary number of cells or …
on interconnected connections. The network consists of an arbitrary number of cells or …
[HTML][HTML] Development and arealization of the cerebral cortex
Adult cortical areas consist of specialized cell types and circuits that support unique higher-
order cognitive functions. How this regional diversity develops from an initially uniform …
order cognitive functions. How this regional diversity develops from an initially uniform …
Joint distance maps based action recognition with convolutional neural networks
Motivated by the promising performance achieved by deep learning, an effective yet simple
method is proposed to encode the spatio-temporal information of skeleton sequences into …
method is proposed to encode the spatio-temporal information of skeleton sequences into …