Brain tumor segmentation based on optimized convolutional neural network and improved chimp optimization algorithm

R Ranjbarzadeh, P Zarbakhsh, A Caputo… - Computers in Biology …, 2024 - Elsevier
Reliable and accurate brain tumor segmentation is a challenging task even with the
appropriate acquisition of brain images. Tumor grading and segmentation utilizing Magnetic …

A deep learning model for ergonomics risk assessment and sports and health monitoring in self-occluded images

A Aghamohammadi, SA Beheshti Shirazi… - Signal, Image and Video …, 2024 - Springer
Ergonomic assessments and sports and health monitoring play a crucial role and have
contributed to sustainable development in many areas such as product architecture, design …

[PDF][PDF] A survey on multiagent reinforcement learning applications in the internet of vehicles

EM Mianji, M Fardad, GM Muntean… - 2024 IEEE 99th Vehicular …, 2024 - researchgate.net
The development of the Internet of Vehicles (IoV) and autonomous vehicles plays a
significant role in intelligent transportation systems (ITS) that are empowered by vehicular …

[PDF][PDF] Decentralized vehicular edge computing framework for energy-efficient task coordination

M Fardad, GM Muntean, I Tal - 2024 IEEE 99th Vehicular …, 2024 - researchgate.net
Vehicular edge computing (VEC) empowers realtime applications in the autonomous
vehicle (AV) domain by positioning edge servers closer to AVs. This proximity reduces …

A Blockchain-Enabled Vehicular Edge Computing Framework for Secure Performance-oriented V2X Service Delivery

M Fardad, GM Muntean, I Tal - IEEE Transactions on Vehicular …, 2024 - ieeexplore.ieee.org
Vehicular Edge Computing (VEC) has emerged as a promising paradigm to enable low-
latency Vehicle-to-Everything (V2X) services by bringing computing resources closer to …

Location Privacy Protection in Vehicular Networks

B Ma - 2023 - opus.lib.uts.edu.au
Location privacy is of utmost importance in vehicular networks, where drivers' trajectories
and personal information can be exposed, posing threats to drivers' safety and personal …

[PDF][PDF] Trust and Reputation Management for Data Trading in Vehicular Edge Computing: A DRL-Based Approach

EM Mianji, GM Muntean, I Tal - researchgate.net
The internet of vehicles (IoV) has become a promising technology for enhancing road safety
and driving experience by sharing data collected by autonomous vehicles (AVs). In this …

[PDF][PDF] Decentralized Multi-layer Vehicular Edge Computing Framework for Time-Efficient Task Coordination

M Fardad, GM Muntean, I Tal - researchgate.net
Vehicle edge computing (VEC) offers substantial potential to enhance real-time applications
in the connected autonomous vehicle (CAV) sector by positioning edge servers near CAVs …

[PDF][PDF] Game-Theoretic Defense Strategies for Mitigating Gray Hole Attacks on Energy-Limited Sensors in Wireless Sensor Networks

ICK Sihomnou, A Benslimane, AHA Hemida… - conf-icnc.org
Wireless Sensor Networks (WSNs) have improved efficiency and accuracy in various
applications, including military and healthcare. However, gray hole attacks are damaging …