A systematic mapping of the advancing use of machine learning techniques for predictive maintenance in the manufacturing sector
The increasing availability of data, gathered by sensors and intelligent machines, is
changing the way decisions are made in the manufacturing sector. In particular, based on …
changing the way decisions are made in the manufacturing sector. In particular, based on …
Classification based on decision tree algorithm for machine learning
B Charbuty, A Abdulazeez - Journal of Applied Science and Technology …, 2021 - jastt.org
Decision tree classifiers are regarded to be a standout of the most well-known methods to
data classification representation of classifiers. Different researchers from various fields and …
data classification representation of classifiers. Different researchers from various fields and …
Computerized detection of cyclic alternating patterns of sleep: A new paradigm, future scope and challenges
Background and objectives: Sleep quality is associated with wellness, and its assessment
can help diagnose several disorders and diseases. Sleep analysis is commonly performed …
can help diagnose several disorders and diseases. Sleep analysis is commonly performed …
Stability prediction of a natural and man-made slope using various machine learning algorithms
In this paper, an attempt has been made to implement various machine learning techniques
to predict the factor of safety of a natural residual soil slope and a man-made overburden …
to predict the factor of safety of a natural residual soil slope and a man-made overburden …
Performance analysis of deep neural networks using computer vision
INTRODUCTION: In recent years, deep learning techniques have been made to outperform
the earlier state-of-the-art machine learning techniques in many areas, with one of the most …
the earlier state-of-the-art machine learning techniques in many areas, with one of the most …
Multiobjective task scheduling in cloud environment using decision tree algorithm
In recent years, Cloud computing has been developed and become the foundation of a wide
range of applications. It allows users to access a catalog of standardized services and …
range of applications. It allows users to access a catalog of standardized services and …
A review of machine learning models applied to genomic prediction in animal breeding
The advent of modern genotyping technologies has revolutionized genomic selection in
animal breeding. Large marker datasets have shown several drawbacks for traditional …
animal breeding. Large marker datasets have shown several drawbacks for traditional …
Drug delivery system tailoring via metal-organic framework property prediction using machine learning: A disregarded approach
Metal-organic frameworks (MOFs) have demonstrated exclusive features, including high
porosity, high surface area, favorable biodegradability, and biocompatibility. Due to these …
porosity, high surface area, favorable biodegradability, and biocompatibility. Due to these …
Resource management and task scheduling for IoT using mobile edge computing
MT Quasim - Wireless Personal Communications, 2021 - Springer
The active field of research is to achieve fast answers with minimal energy usage in mobile
edge computing. The latest development of mobile edge computing (MEC) is a new model …
edge computing. The latest development of mobile edge computing (MEC) is a new model …
From external provision to technological outsourcing: lessons for public sector automation from the outsourcing literature
H Dickinson, S Yates - Public Management Review, 2023 - Taylor & Francis
Automation is not new, but the possibilities for automation have been significantly expanded
in recent years through advancements in artificial intelligence. Such technologies may drive …
in recent years through advancements in artificial intelligence. Such technologies may drive …