Friend recommendation system (FRS) is an essential part of any social network system. With the popularity sites, many FRSs have been proposed in past few years. However, most them are homophily based systems, propensity to associate and bond with similar others. In other words, these systems will recommend people that you share common features as friends. Homophily FRS accurate when feature a physical or feature, such age, race, location, job, lifestyle. it not case personality types. Having...

A recommendation system is an integral part of any modern online shopping or social network platform. The product as a typical example the legacy systems suffers from two major drawbacks: redundancy and unpredictability concerning new items (cold start). These limitations take place because rely only on user's previous buying behavior to recommend items. Incorporating features, such personality traits topical interest, might help alleviate cold start remove redundancy. Therefore, in this...

A trust management system (TMS) is an integral component of any Internet Things (IoT) network. reliable TMS must guarantee the network security, data integrity, and act as a referee that promotes legitimate devices, punishes malicious activities. Trust scores assigned by TMSs reflect devices' reputations, which can help predict future behaviors entities subsequently judge reliability different in IoT networks. Many have been proposed literature, these systems are designed for small-scale...

Vehicular social networking is an emerging application of the Internet Vehicles (IoV) which aims to achieve seamless integration vehicular networks and networks. However, unique characteristics networks, such as high mobility frequent communication interruptions, make content delivery end-users under strict delay constraints extremely challenging. In this paper, we propose a social-aware edge computing architecture that solves problem by using some vehicles in network servers can store...

Metaverse is a virtual environment where users are represented by their avatars to navigate world having strong links with its physical counterpart. The state-of-the-art architectures rely on cloud-based approach for avatar physics emulation and graphics rendering computation. current centralized architecture of such systems unfavorable as it suffers from several drawbacks caused the long latency cloud access, low-quality visualization. To this end, we propose Fog-Edge hybrid computing...

The integration of the Internet Vehicles (IoV) in future smart cities could help solve many traffic-related challenges, such as reducing traffic congestion and accidents. Various pricing electric vehicle charging policies have been introduced recent years. Nonetheless, majority these schemes emphasize penalizing vehicles that opt to take congested roads or charge crowded station do not reward cooperate with management system. In this paper, we propose a novel dynamic system for internet an...

The Metaverse is a virtual environment where users are represented by avatars to navigate world, which has strong links with the physical one. State-of-the-art architectures rely on cloud-based approach for avatar physics emulation and graphics rendering computation. Such centralized design unfavorable as it suffers from several drawbacks caused long latency required cloud access, such low quality visualization. To solve this issue, in paper, we propose Fog-Edge hybrid computing architecture...

The Internet of People (IoP) is a human-centric computing paradigm, where the people are not considered merely as end users, but become center architecture. model IoP requires that system understand social characters such users' emotions, personality types, and interests. User interest detection an important task in IoP. In this article, we propose user framework for context signed network First, new proximity function measures similarity between users based on their interests/disinterests...

Alleviating traffic congestion is one of the main challenges for Internet Vehicles (IoV) in smart cities. Many pricing systems have been proposed recently. However, most them focus on punishing vehicles that use certain roads during peak hours, neglecting proven fact rewards can encourage drivers to follow rules. Therefore, this paper, we propose a new system based reward and punishment policies IoV city environment, where are rewarded voluntarily choosing take an alternative path alleviate...

With the rapid development of Internet Things (IoT) and its potential integration with traditional Vehicular Ad-Hoc Networks (VANETs), we have witnessed emergence Vehicles (IoV), which promises to seamlessly integrate into smart transportation systems. However, key characteristics IoV, such as high-speed mobility frequent disconnections make it difficult manage security privacy. The Blockchain, a distributed tamper-resistant ledge, has been proposed an innovative solution that guarantees...

With the emergence of autonomous vehicles and internet (IoV), future roads smart cities will have a combination automated with regular that require human operators. To ensure safety road commuters in such network, it is imperative to enhance performance Advanced Driver Assistance Systems (ADAS). Real-time driving risk prediction fundamental part an ADAS. Many systems been proposed. However, most them are based only on vehicle’s velocity. But accident scenarios, other factors also involved,...

Aiming to alleviate traffic congestion, many congestion avoidance and optimization systems have been proposed recently. However, most of them suffer from three main problems. Firstly scalability: they rely on a centralized server, which has perform intensive communication computational tasks. Secondly unpredictability: use smartphones other sensors detect the congested roads warn upcoming vehicles accordingly. In words, are used solve problem rather than avoiding it. Lastly, infrastructure...

The Metaverse is a virtual environment where users are represented by avatars to navigate world, which has strong links with the physical one. State-of-the-art architectures rely on cloud-based approach for avatar physics emulation and graphics rendering computation. Such centralized design unfavorable as it suffers from several drawbacks caused long latency required cloud access, such low quality visualization. To solve this issue, in paper, we propose Fog-Edge hybrid computing architecture...

The convergence of Web3, Metaverse, and Digital Twins technologies is bringing a transformative revolution to Cyber-Physical-Social systems. which driven by blockchain decentralization, allows users have control over their data digital assets. Meanwhile, the Metaverse creating virtual space where people can interact, work, live together. twins offer real-time representation physical objects or spaces. When these three concepts intersect, they create dynamic interconnected ecosystem worlds...

Personality-aware recommendation systems have been proven to achieve high accuracy compared conventional systems. In addition that, personality-aware could help alleviate cold start and data sparsity problems. Most of the existing works use Big-Five personality model represent user's personality, this is due popularity in literature psychology. However, from computing perspective, choice most suitable that satisfy requirements application recommended content type still needs further...

The Metaverse is a virtual environment where users are represented by avatars to navigate world, which has strong links with the physical one. State-of-the-art architectures rely on cloud-based approach for avatar physics emulation and graphics rendering computation. Such centralized design unfavorable as it suffers from several drawbacks caused long latency required cloud access, such low quality visualization. To solve this issue, in paper, we propose Fog-Edge hybrid computing architecture...

CNNs have been widely applied for medical image analysis. However, limited memory capacity is one of the most common drawbacks processing high-resolution 3D volumetric data. volumes are usually cropped or downsized first before processing, which can result in a loss resolution, increase class imbalance, and affect performance segmentation algorithms. In this paper, we propose an end-to-end deep learning approach called IP-UNet. IP-UNet UNet-based model that performs multi-class on Intensity...

The journey towards realizing real-time AI-driven IoT applications is facing a significant hurdle caused by the limited resources of devices. Particularly for battery-powered edge devices, decision between performing task inference locally or offloading to servers, all while ensuring timely results and conserving energy, critical issue. This problem further complicated when an device houses multiple local models. challenge effectively allocating models tasks server under strict time energy...

Vehicular social networking is an emerging application of the promising Internet Vehicles (IoV) which aims to achieve seamless integration vehicular networks and networks. However, unique characteristics such as high mobility frequent communication interruptions make content delivery end-users under strict delay constrains extremely challenging task. In this paper, we propose a social-aware edge computing architecture that solves problem by using some vehicles in network servers can store...

With the rapid development of Internet Things (IoT) and its potential integration with traditional Vehicular Ad-Hoc Networks (VANETs), we have witnessed emergence Vehicles (IoV), which promises to seamlessly integrate into smart transportation systems. However, key characteristics IoV, such as high-speed mobility frequent disconnections make it difficult manage security privacy. The Blockchain, a distributed tamper-resistant ledge, has been proposed an innovative solution that guarantees...