EdgeCloudSim provides a simulation environment specific to Edge Computing scenarios where it is possible to conduct experiments that considers both computational and networking resources. EdgeCloudSim ...

Tag sequencing using high-throughput sequencing technologies are employed to identify specific sequence features such as DNase-seq, ATAC-seq, ChIP-seq, and FAIRE-seq. To intuitively summarize and ...

Operational risk modelling is a critical practice in financial institutions to quantify potential losses from internal processes, human errors, systems failures, or external events. One effective ...

The Poisson Distribution is a discrete probability distribution that models the number of events occurring within a fixed interval of time or space, provided these events happen independently and at a ...

Road traffic flow forecasting provides critical information for the operational management of road mobility challenges, and models are used to generate the forecast. This paper uses a random process ...

Non-negative matrix factorization (NMF) is an unsupervised learning method well suited to high-throughput biology. However, inferring biological processes from an NMF result still requires additional ...

Discovering the concomitant occurrence of distinct medical conditions in a patient, also known as comorbidities, is a prerequisite for creating patient outcome prediction tools. Current comorbidity ...

Predictive microbiology models explain bacterial number variations over time and how growth/inactivation rates are affected by environmental conditions (Lammerding and Fazil, 2000). In the development ...

Intracellular electrophysiological recordings provide crucial insights into elementary neuronal signals such as action potentials and synaptic currents. Analyzing and interpreting these signals is ...