A routing protocol for vehicular ad hoc networks using simulated annealing algorithm and neural networks

H Bagherlou, A Ghaffari - The Journal of Supercomputing, 2018 - Springer
Vehicular ad hoc network (VANET) is special type of mobile ad hoc networks which
establish communications between adjacent vehicles and also between vehicles and …

Matrix-monotonic optimization for MIMO systems

C **ng, S Ma, Y Zhou - IEEE Transactions on Signal Processing, 2014 - ieeexplore.ieee.org
For MIMO systems, due to the deployment of multiple antennas at both the transmitter and
the receiver, the design variables, eg, precoders, equalizers, and training sequences, are …

Learning-in-the-fog (LiFo): Deep learning meets fog computing for the minimum-energy distributed early-exit of inference in delay-critical IoT realms

E Baccarelli, M Scarpiniti, A Momenzadeh… - IEEE …, 2021 - ieeexplore.ieee.org
Fog Computing (FC) and Conditional Deep Neural Networks (CDDNs) with early exits are
two emerging paradigms which, up to now, are evolving in a standing-alone fashion …

Reliable adaptive resource management for cognitive cloud vehicular networks

N Cordeschi, D Amendola… - IEEE Transactions on …, 2014 - ieeexplore.ieee.org
In this paper, we design and test the performance of a distributed and adaptive resource
management controller, which allows the optimal exploitation of cognitive radio and soft …

A novel unsupervised approach based on the hidden features of Deep Denoising Autoencoders for COVID-19 disease detection

M Scarpiniti, SS Ahrabi, E Baccarelli, L Piazzo… - Expert Systems with …, 2022 - Elsevier
Chest imaging can represent a powerful tool for detecting the Coronavirus disease 2019
(COVID-19). Among the available technologies, the chest Computed Tomography (CT) scan …

EcoMobiFog–design and dynamic optimization of a 5G mobile-fog-cloud multi-tier ecosystem for the real-time distributed execution of stream applications

E Baccarelli, M Scarpiniti, A Momenzadeh - IEEE Access, 2019 - ieeexplore.ieee.org
The emerging 5G paradigm will enable multi-radio smartphones to run high-rate stream
applications. However, since current smartphones remain resource and battery-limited, the …

Energy-efficient adaptive networked datacenters for the QoS support of real-time applications

N Cordeschi, M Shojafar, D Amendola… - The Journal of …, 2015 - Springer
In this paper, we develop the optimal minimum-energy scheduler for the adaptive joint
allocation of the task sizes, computing rates, communication rates and communication …

Trends in power control during soft handoff in downlink direction of 3G WCDMA cellular networks

S Aggarwal, SK Tomar, A Aggarwal… - 2012 2nd IEEE …, 2012 - ieeexplore.ieee.org
Power control and soft handoff are the two essential techniques for effectively increasing the
spectrum efficiency in a CDMA based system. Soft handoff (SHO) handles the mobility of …

Hierarchical blind interference alignment over interference networks with finite coherence time

H Yang, W Shin, J Lee - IEEE Transactions on Signal …, 2015 - ieeexplore.ieee.org
We investigate a blind interference alignment (BIA) scheme through staggered antenna
switching over various interference networks (eg, broadcast channel, interference channel …

Exploiting probability density function of deep convolutional autoencoders' latent space for reliable COVID-19 detection on CT scans

S Sarv Ahrabi, L Piazzo, A Momenzadeh… - The Journal of …, 2022 - Springer
We present a probabilistic method for classifying chest computed tomography (CT) scans
into COVID-19 and non-COVID-19. To this end, we design and train, in an unsupervised …