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DFIAM: deep factorization integrated attention mechanism for smart TV recommendation
Users are frequently overwhelmed by their uninterested programs due to the development of smart TV and the excessive number of programs. For...
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Enhancing smart home device identification in WiFi environments for futuristic smart networks-based IoT
The recognition of smart home devices within WiFi environments stands as a pivotal focus within contemporary Internet of Things (IoT) security,...
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Energy efficient LoRa transmission over TV white spaces
Being one of the fast emerging Internet of Things (IoT) technologies, low power wide area networks (LPWANs) offer power-efficient, long range and low...
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Audio rendering smart TV apps through mobile devices
TV service providers now offer a variety of features, including broadcast-related ones like electronic programme guides, catch-up and recording...
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Smart home for enhanced healthcare: exploring human machine interface oriented digital twin model
Digital twin (DT) and other emerging technologies such as the Internet of Things (IoT), data mining, reinforcement learning, remote intelligent...
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Affective TV: Concepts of Affective Computing Applied to Digital Television
The traditional broadcast TV viewing experience has barely evolved since its inception, remaining mostly static despite many technical advances....
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Detecting Persian speaker-independent voice commands based on LSTM and ontology in communicating with the smart home appliances
Nowadays, various interfaces are used to control smart home appliances. The human and smart home appliances interaction may be based on input devices...
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Neural TV program recommendation with heterogeneous attention
TV program recommendation is very important to avoid confusing users with large amounts of information. The existing methods are mainly based on...
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Assessment of a mixed reality smart home controller: HoloHome pilot study on healthy adults
This work presents HoloHome, a Mixed Reality application that aims to provide a new means of interaction to control the Smart Home components while...
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Smart AVDNet: alcohol detection using vehicle driver face
Driver drowsiness and alcohol consumption leads for the majority of road accidents. Intoxicated or drugged drivers are less likely to make timely...
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ML-MDS: Machine Learning based Misbehavior Detection System for Cognitive Software-defined Multimedia VANETs (CSDMV) in smart cities
Security is a major concern in vehicular networks for reliable communication between the source and the destination in smart cities. Data, these...
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Building user interest model for TV recommendation with label-based memory forgetting-enhancement model
TV recommendation can help users find interesting TV programs, improve user experience, and solve the problem of information overload. Current TV...
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Insights from User Perceptions Towards the Design of a Proactive Intelligent TV Assistant
Recognising the potential to enhance the television (TV) experience, the integration of proactive behaviours in an intelligent TV assistant is...
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SHPIA 2.0: An Easily Scalable, Low-Cost, Multi-purpose Smart Home Platform for Intelligent Applications
Sensors, electronic devices, and smart systems have invaded the market and our daily lives. As a result, their utility in smart home contexts to...
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Demystifying Lesotho, Rwandan and Nigerian educators’ viewpoints on smart technologies supporting AI in higher education
Given the deluge of technology flowing into African countries from the global north, it is not a hyperbole to make a point that developed nations are...
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ApplianceNet: a neural network based framework to recognize daily life activities and behavior in smart home using smart plugs
A smart plug can transform the typical electrical appliance into a smart multi-functional device, which can communicate over the Internet. It has the...
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Centralized smart energy monitoring system for legacy home appliances
The increasing global population and reliance on electrical devices for daily life resulted in sharply rising energy consumption. Also, this leads to...
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Exploring the Synergy of Blockchain, IoT, and Edge Computing in Smart Traffic Management across Urban Landscapes
In the ever-evolving landscape of smart city transportation, effective traffic management remains a critical challenge. To address this, we propose a...
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A fly in the ointment: an empirical study on the characteristics of Ethereum smart contract code weaknesses
ContextSmart contracts are programs that are automatically executed on the blockchain. Code weaknesses in their implementation have led to severe...
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Towards automatic placement of media objects in a personalised TV experience
In this paper, we describe a Proof-of-Concept implementation of an automated system to drive one aspect of a personalised, object-based TV...
