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Deep learning in the industrial internet of things: Potentials, challenges, and emerging applications
Recent advances in the Internet of Things (IoT) are giving rise to a proliferation of
interconnected devices, allowing the use of various smart applications. The enormous …
interconnected devices, allowing the use of various smart applications. The enormous …
A state-of-the-art survey on multidimensional scaling-based localization techniques
Current and future wireless applications strongly rely on precise real-time localization. A
number of applications, such as smart cities, Internet of Things (IoT), medical services …
number of applications, such as smart cities, Internet of Things (IoT), medical services …
Overview and comparative study of dimensionality reduction techniques for high dimensional data
The recent developments in the modern data collection tools, techniques, and storage
capabilities are leading towards huge volume of data. The dimensions of data indicate the …
capabilities are leading towards huge volume of data. The dimensions of data indicate the …
[HTML][HTML] Bibliometric analysis of publications on the omicron variant from 2020 to 2022 in the Scopus database using R and VOSviewer
Human respiratory infections caused by coronaviruses can range from mild to deadly.
Although there are numerous studies on coronavirus disease 2019 (COVID-19), few have …
Although there are numerous studies on coronavirus disease 2019 (COVID-19), few have …
Human activity recognition with accelerometer and gyroscope: A data fusion approach
M Webber, RF Rojas - IEEE Sensors Journal, 2021 - ieeexplore.ieee.org
This paper compares the three levels of data fusion with the goal of determining the optimal
level of data fusion for multi-sensor human activity data. Using the data processing pipeline …
level of data fusion for multi-sensor human activity data. Using the data processing pipeline …
Machine learning for the advancement of genome-scale metabolic modeling
Constraint-based modeling (CBM) has evolved as the core systems biology tool to map the
interrelations between genotype, phenotype, and external environment. The recent …
interrelations between genotype, phenotype, and external environment. The recent …
Toward the internet of underground things: A systematic survey
This paper provides recent advances in the area of Internet of Underground Things (IoUT)
with emphasis on enabling communication technologies, networking issues, and …
with emphasis on enabling communication technologies, networking issues, and …
Musical protein: map** the time sequence of music onto the spatial architecture of proteins
J Su, P Zhou - Computer Methods and Programs in Biomedicine, 2024 - Elsevier
Background and objective Music, the ubiquitous language across human cultures, is
traditionally considered as a form of art but has been linked to biomolecules in recent years …
traditionally considered as a form of art but has been linked to biomolecules in recent years …
Rare and extreme events: the case of COVID-19 pandemic
Complex systems have characteristics that give rise to the emergence of rare and extreme
events. This paper addresses an example of such type of crisis, namely the spread of the …
events. This paper addresses an example of such type of crisis, namely the spread of the …
[HTML][HTML] A comparative study on recent automatic data fusion methods
Automatic data fusion is an important field of machine learning that has been increasingly
studied. The objective is to improve the classification performance from several individual …
studied. The objective is to improve the classification performance from several individual …