Resource management in a peer to peer cloud network for IoT

A Javadpour, G Wang, S Rezaei - Wireless Personal Communications, 2020 - Springer
Abstract Software-Defined Internet of Things (SDIoT) is defined as merging heterogeneous
objects in a form of interaction among physical and virtual entities. Large scale of data …

Dysfunction in brain-derived neurotrophic factor signaling pathway and susceptibility to schizophrenia, Parkinson's and Alzheimer's diseases

A Mohammadi, VG Amooeian… - Current gene …, 2018 - ingentaconnect.com
Brain-Derived Neurotrophic Factor (BDNF) is a dominant neurotrophic factor in the brain
which plays a crucial role in differentiation, regeneration and plasticity mechanisms. Binding …

Brain tumor diagnosis based on metaheuristics and deep learning

A Hu, N Razmjooy - International Journal of Imaging Systems …, 2021 - Wiley Online Library
The high mortality rate associated with brain tumors requires early detection in the early
stages to treat and reduce mortality. Due to the complexity of brain tissue, manual diagnosis …

New brain tumor classification method based on an improved version of whale optimization algorithm

B Yin, C Wang, F Abza - Biomedical Signal Processing and Control, 2020 - Elsevier
Brain tumor is an abnormal growth of cells in the brain that its diagnosis in the early stages
can help us to prevent the dangers of the next stage. In this paper, a new meta-heuristic …

Elliptic curve cryptographic image encryption using Henon map and Hopfield chaotic neural network

P Parida, C Pradhan, JA Alzubi, A Javadpour… - Multimedia Tools and …, 2023 - Springer
In this paper, a new chaotic image encryption and authentication model based on Elliptic
Curves is proposed. The Elliptic Curve Diffie-Hellman (ECDH) is used to generate a reliable …

Brain, blood, cerebrospinal fluid, and serum biomarkers in schizophrenia

A Mohammadi, E Rashidi, VG Amooeian - Psychiatry research, 2018 - Elsevier
Over the last decade, finding a reliable biomarker for the early detection of schizophrenia
(Scz) has been a topic of interest. The main goal of the current review is to provide a …

Modified genetic algorithm approaches for classification of abnormal magnetic resonance brain tumour images

DJ Hemanth, J Anitha - Applied Soft Computing, 2019 - Elsevier
Genetic Algorithm (GA) is one of the bio-inspired optimization techniques available for
practical applications. The increasing necessity for bio-inspired optimization techniques has …

Using Markov learning utilization model for resource allocation in cloud of thing network

SM Mirmohseni, C Tang, A Javadpour - Wireless Personal …, 2020 - Springer
The integration of the Internet of Things (IoT) and cloud environment has led to the creation
of Cloud of Things, which has given rise to new challenges in IoT area. In this paper, using …

A survey on computer-aided diagnosis of brain disorders through MRI based on machine learning and data mining methodologies with an emphasis on Alzheimer …

L Lazli, M Boukadoum, OA Mohamed - Applied Sciences, 2020 - mdpi.com
Computer-aided diagnostic (CAD) systems use machine learning methods that provide a
synergistic effect between the neuroradiologist and the computer, enabling an efficient and …

Improving resources management in network virtualization by utilizing a software-based network

A Javadpour - Wireless Personal Communications, 2019 - Springer
Network virtualization is a way to simultaneously run multiple heterogeneous architectures
on a shared substrate. The main issue in network virtualization is mapping virtual networks …