The applicability of big data in climate change research: The importance of system of systems thinking
The aim of this paper is to provide an overview of the interrelationship between data science
and climate studies, as well as describes how sustainability climate issues can be managed …
and climate studies, as well as describes how sustainability climate issues can be managed …
Unsupervised human activity recognition using the clustering approach: A review
Currently, many applications have emerged from the implementation of software
development and hardware use, known as the Internet of things. One of the most important …
development and hardware use, known as the Internet of things. One of the most important …
Machine learning and optimization for production rescheduling in Industry 4.0
Along with the fourth industrial revolution, different tools coming from optimization, Internet of
Things, data science, and artificial intelligence fields are creating new opportunities in …
Things, data science, and artificial intelligence fields are creating new opportunities in …
Big data visualization and visual analytics of COVID-19 data
In the current era of big data, a huge amount of data has been generated and collected from
a wide variety of rich data sources. Embedded in these big data are useful information and …
a wide variety of rich data sources. Embedded in these big data are useful information and …
[HTML][HTML] Comparative analysis of models and performance indicators for optimal service facility location
This study investigates the optimal process for locating generic service facilities by applying
and comparing several well-known basic models from the literature. At a strategic level, we …
and comparing several well-known basic models from the literature. At a strategic level, we …
Smartphone data classification technique for detecting the usage of public or private transportation modes
One of the main endeavors of smart cities is the organization and subsidization of public
transportation. To achieve this, it is important to obtain information about the way in which …
transportation. To achieve this, it is important to obtain information about the way in which …
Grid-based clustering using boundary detection
M Du, F Wu - Entropy, 2022 - mdpi.com
Clustering can be divided into five categories: partitioning, hierarchical, model-based,
density-based, and grid-based algorithms. Among them, grid-based clustering is highly …
density-based, and grid-based algorithms. Among them, grid-based clustering is highly …
A node clustering algorithm for heterogeneous information networks based on node embeddings
D Liu, L Li - Multimedia Tools and Applications, 2024 - Springer
Clustering is a very important method to analyze HIN. Thus, several HIN clustering
algorithms have been proposed and all these algorithms are based on meta-paths. Meta …
algorithms have been proposed and all these algorithms are based on meta-paths. Meta …
A combined deep-learning and transfer-learning approach for supporting social influence prediction
Social influence is a phenomenon describing the spread of opinions across the population.
Nowadays, social influence analysis (SIA) has a great impact. For example, viral marketing …
Nowadays, social influence analysis (SIA) has a great impact. For example, viral marketing …
The adoption of scale space hierarchical cluster analysis algorithm in the classification of rock-climbing teaching evaluation system
Y Zheng, H Ke - Journal of Ambient Intelligence and Humanized …, 2020 - Springer
In order to construct the basic frame of the evaluation system of the training effect of rock
climbing technique to carry out the teaching practice of rock climbing technique under the …
climbing technique to carry out the teaching practice of rock climbing technique under the …