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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 …
establish communications between adjacent vehicles and also between vehicles and …
Matrix-monotonic optimization for MIMO systems
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 …
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
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 …
two emerging paradigms which, up to now, are evolving in a standing-alone fashion …
Reliable adaptive resource management for cognitive cloud vehicular networks
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 …
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
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 …
(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
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 …
applications. However, since current smartphones remain resource and battery-limited, the …
Energy-efficient adaptive networked datacenters for the QoS support of real-time applications
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 …
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
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 …
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
We investigate a blind interference alignment (BIA) scheme through staggered antenna
switching over various interference networks (eg, broadcast channel, interference channel …
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 …
into COVID-19 and non-COVID-19. To this end, we design and train, in an unsupervised …