There is a great demand for an efficient security framework which can secure IoT systems
from potential adversarial attacks. However, it is challenging to design a suitable security …

Raman spectroscopy (RS) is a widely used analytical technique based on the detection of
molecular vibrations in a defined system, which generates Raman spectra that contain …

Clustering is an unsupervised machine learning method grouping data samples into clusters
of similar objects. In practice, clustering has been used in numerous applications such as …

Random forests is a widely used classification algorithm. It consists of a set of decision trees
each of which is a classifier built on the basis of a random subset of the training data-set. In …

With the aim of analyzing large-sized multidimensional single-cell datasets, we are
describing a method for Cosine-based Tanimoto similarity-refined graph for community …

Cluster analysis is a valuable unsupervised machine learning technique that is applied in a
multitude of domains to identify similarities or clusters in unlabelled data. However, its …

NanoSIMS technique allows to investigate the micro-spatial organization in complex
structures in multiple scientific fields such as material science, cosmochemistry, and …

Global pandemics such as Covid-19 have led to massive loss of human lives and strict
lockdown measures worldwide. To return to a certain level of normalcy, community …

Clustering is an unsupervised machine learning method grouping data samples into clusters
of similar objects, used as a system support tool in numerous applications such as banking …

This work describes a cooperation strategy and method to compress data to be transmitted
between multiple underwater gliders used to delineate oil spills in the ocean. In the …