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Consumer behavior in immersive virtual reality retail environments: A systematic literature review using the stimuli‐organisms‐responses (S‐O‐r) model

Journal of Consumer Behaviour
With the rising popularity of immersive virtual reality (iVR) technologies, retailers are increasingly seeking innovative ways to create unique digital shopping experiences for their consumers.
Aysu Erensoy   +4 more
semanticscholar   +1 more source

Adversarial ML-Based Secured Cloud Architecture for Consumer Internet of Things of Smart Healthcare

IEEE transactions on consumer electronics
The profound era of cloud computing (CC) is revolutionizing Industry 5.0in which users have online access to network services including better, transparent user management and the capacity to gather and analyze data.
Jitendra Kumar Samriya   +4 more
semanticscholar   +1 more source

Blockchain-Based Smart Contract Model for Securing Healthcare Transactions by Using Consumer Electronics and Mobile-Edge Computing

IEEE transactions on consumer electronics
Blockchain technology has been an emerging solution to various problems in the healthcare sector. Its applications in the healthcare sector range from securing patient data to increasing transparency in the pharmaceutical supply chain.
Sagnik Datta, Suyel Namasudra
semanticscholar   +1 more source

Federated Quantum-Based Privacy-Preserving Threat Detection Model for Consumer Internet of Things

IEEE transactions on consumer electronics
The Internet of Things (IoT) has significantly impacted the evolution of consumer-oriented smart environments, primarily due to its capacity for transformative device-to-device communication. While this capability enhances user convenience and experience
Danyal Namakshenas   +3 more
semanticscholar   +1 more source

A Neural Computing-Based Access Control Protocol for AI-Driven Intelligent Flying Vehicles in Industry 5.0-Assisted Consumer Electronics

IEEE transactions on consumer electronics
The continuous revolution in Artificial Intelligence (AI) has played a significant role in the development of key consumer applications, including Industry 5.0, autonomous decision-making, fault diagnosis, etc.
Khalid Mahmood   +5 more
semanticscholar   +1 more source

Blockchain-Enabled Decentralized Edge Intelligence for Trustworthy 6G Consumer Electronics

IEEE transactions on consumer electronics
As 6G communication technology advances, there is a growing trend of incorporating blockchain technology, which has already demonstrated its effectiveness in multiple areas. Merging blockchain technology with 6G communication opens up novel prospects for
Xin Wang   +4 more
semanticscholar   +1 more source

Two-Level Privacy-Preserving Framework: Federated Learning for Attack Detection in the Consumer Internet of Things

IEEE transactions on consumer electronics
As the adoption of Consumer Internet of Things (CIoT) devices surges, so do concerns about security vulnerabilities and privacy breaches. Given their integration into daily life and data collection capabilities, it is crucial to safeguard user privacy ...
Elnaz Rabieinejad   +3 more
semanticscholar   +1 more source

Energy-Efficient UAV Scheduling and Probabilistic Task Offloading for Digital Twin-Empowered Consumer Electronics Industry

IEEE transactions on consumer electronics
The digital twin (DT)–powered consumer electronics industry has been proposed to create virtual representations of the physical products, manufacturing processes, and manufacturing systems, and to enable manufacturers to truly promote the development of ...
Xumin Huang   +4 more
semanticscholar   +1 more source

Blockchain-Based Authentication and Explainable AI for Securing Consumer IoT Applications

IEEE transactions on consumer electronics
The consumer Internet of Things (IoT) applications in particular smart cities are mostly equipped with Internet-connected networked devices to improve city operations by giving access to a massive amount of valuable information.
Randhir Kumar   +5 more
semanticscholar   +1 more source

Mobile Traffic Prediction in Consumer Applications: A Multimodal Deep Learning Approach

IEEE transactions on consumer electronics
Mobile traffic prediction is an important yet challenging problem in consumer applications because of the dynamic nature of user behavior, varying application quality of service (QoS) requirements, network congestion, and proliferation of diverse mobile ...
Weiwei Jiang   +5 more
semanticscholar   +1 more source

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