Complex networks capture the structure, dynamics, and relationships among entities in real-
world networked systems, encompassing domains like communications, society, chemistry …

Understanding relationships between architectural properties of gene-regulatory networks
(GRNs) has been one of the major goals in systems biology and bioinformatics, as it can …

Unmanned Aerial Vehicles (UAVs), as aerial base stations, is a promising solution for
providing end-to-end wireless communications to ground users, thanks to its positioning …

The advent of the edge computing network paradigm places the computational and storage
resources away from the data centers and closer to the edge of the network largely …

Link prediction algorithms in complex networks, such as social networks, biological
networks, drug-drug interactions, communication networks, and so on, assign scores to …

Internet of Things (IoT) enables the collection of large volumes of data by billions of
pervasive intelligent devices and sharing them with remote cloud servers for processing …

Abstract Analysis of the topology of transcriptional regulatory networks (TRNs) is an effective
way to study the regulatory interactions between the transcription factors (TFs) and the target …

Motivation In recent years, many algorithms for inferring gene regulatory networks from
single-cell transcriptomic data have been published. Several studies have evaluated their …

Mobile crowdsensing (MCS) leverages the participation of active citizens and establishes a
cost-effective sensing infrastructure using their devices. The MCS platform allocates sensing …

Mobile crowdsensing (MCS) paradigm enables users equipped with energy-constrained
smart devices to participate in sensing and reporting of assigned tasks. To achieve …