Zobrazeno 1 - 10
of 63
pro vyhledávání: '"Lakhdari, Abdallah"'
We propose a novel impact conflict detection framework for IoT services in multi-resident smart homes. The proposed impact assessment model is developed based on the integral of a signal deviation strategy. We mine the residents' previous service usa
Externí odkaz:
http://arxiv.org/abs/2406.00277
We propose a novel framework for crowdsourced images to determine the likelihood of an image being fake. We use a service-oriented approach to model and represent crowdsourced images uploaded on social media, as image services. Trust may, in some cir
Externí odkaz:
http://arxiv.org/abs/2403.12045
We propose a novel resident identification framework to identify residents in a multi-occupant smart environment. The proposed framework employs a feature extraction model based on the concepts of positional encoding. The feature extraction model con
Externí odkaz:
http://arxiv.org/abs/2310.17836
We propose a novel service framework to detect changes in crowdsourced images. We use a service-oriented approach to model and represent crowdsourced images as image services. Non-functional attributes of an image service are leveraged to detect chan
Externí odkaz:
http://arxiv.org/abs/2310.16848
We propose an IoT energy service provisioning framework to ensure consumers' Quality of Experience (QoE). A novel context-aware trust assessment model is proposed to evaluate the trustworthiness of providers. Our model adapts to the dynamic nature of
Externí odkaz:
http://arxiv.org/abs/2401.01029
We propose a novel spatio-temporal service composition framework for crowdsourcing multiple IoT energy services to cater to multiple energy requests. We define a new energy service model to leverage the wearable-based energy and wireless power transf
Externí odkaz:
http://arxiv.org/abs/2308.09886
We propose a novel failure-sentient framework for swarm-based drone delivery services. The framework ensures that those drones that experience a noticeable degradation in their performance (called soft failure) and which are part of a swarm, do not d
Externí odkaz:
http://arxiv.org/abs/2305.13892
Autor:
Zheng, Yisheng Alison, Lakhdari, Abdallah, Abusafia, Amani, Lui, Shing Tai Tony, Bouguettaya, Athman
Human mobility patterns refer to the regularities and trends in the way people move, travel, or navigate through different geographical locations over time. Detecting human mobility patterns is essential for a variety of applications, including smart
Externí odkaz:
http://arxiv.org/abs/2305.12935
We propose a novel Energy Loss Prediction(ELP) framework that estimates the energy loss in sharing crowdsourced energy services. Crowdsourcing wireless energy services is a novel and convenient solution to enable the ubiquitous charging of nearby IoT
Externí odkaz:
http://arxiv.org/abs/2305.10238
We propose a novel activity-based profiling framework to estimate IoT users' harvested energy based on their daily activities. Energy is harvested from natural sources such as the kinetic movement of IoT users. The profiling framework captures the us
Externí odkaz:
http://arxiv.org/abs/2305.08025