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Enhancing Smart Home Design with AI Models: A Case Study of Living Spaces Implementation Review
The normal development of “smart buildings,” which calls for integrating sensors, rich data, and artificial intelligence (AI) simulation models, promises to usher in a new era of architectural concepts. AI simulation models can improve home functions and
Amjad Almusaed, I. Yitmen, Asaad Almssad
semanticscholar +1 more source
Ensemble machine learning approach for classification of IoT devices in smart home
The emergence of the Internet of Things (IoT) concept as a new direction of technological development raises new problems such as valid and timely identification of such devices, security vulnerabilities that can be exploited for malicious activities ...
I. Cvitić +3 more
semanticscholar +1 more source
New technology and smart homes have the potential to improve quality of life, safety, and care for older people. However, we do not yet know how older people's perceptions of these technologies may vary, in particular how views based on experience of ...
Abir Ghorayeb +2 more
semanticscholar +1 more source
Enhanced Intelligent Smart Home Control and Security System Based on Deep Learning Model
Security of lives and properties is highly important for enhanced quality living. Smart home automation and its application have received much progress towards convenience, comfort, safety, and home security.
Olutosin Taiwo +3 more
semanticscholar +1 more source
Wavelet-based filtration procedure for denoising the predicted CO2 waveforms in smart home within the Internet of Things [PDF]
The operating cost minimization of smart homes can be achieved with the optimization of the management of the building's technical functions by determination of the current occupancy status of the individual monitored spaces of a smart home.
Augustynek, Martin +4 more
core +1 more source
Toward Smart Home Authentication Using PUF and Edge-Computing Paradigm
The smart home is a crucial embodiment of the internet of things (IoT), which can facilitate users to access smart home services anytime and anywhere. Due to the limited resources of cloud computing, it cannot meet users’ real-time needs. Therefore, edge
Tsu-Yang Wu +5 more
doaj +1 more source
Robust triboelectric information‐mat enhanced by multi‐modality deep learning for smart home
In metaverse, a digital-twin smart home is a vital platform for immersive communication between the physical and virtual world. Triboelectric nanogenerators (TENGs) sensors contribute substantially to providing smart-home monitoring.
Yanqin Yang +5 more
semanticscholar +1 more source
Smart homes and their users:a systematic analysis and key challenges [PDF]
Published research on smart homes and their users is growing exponentially, yet a clear understanding of who these users are and how they might use smart home technologies is missing from a field being overwhelmingly pushed by technology developers ...
A Cesta +63 more
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Smart textiles consist of discrete devices fabricated from—or incorporated onto—fibres. Despite the tremendous progress in smart textiles for lighting/display applications, a large scale approach for a smart display system with integrated multifunctional
H. Choi +46 more
semanticscholar +1 more source
Smart home for elderly care: development and challenges in China
Background China’s smart home for elderly care emerged in 2008, and had went through four developmental stages which consists of seed stage, start-up stage, development stage and popularization stage.
Quan Zhang, Meiyu Li, Yijin Wu
doaj +1 more source

