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On the Security of Smart Home Systems: A Survey
Among the plethora of IoT (Internet of Things) applications, the smart home is one of the fastest-growing. However, the rapid development of the...
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Improving user satisfaction by analysing users’ subjective cognitive types in smart home systems
This research aims to identify the types of users’ subjective preferences in smart home systems and build respective strategies to improve user...
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A survey of smart dustbin systems using the IoT and deep learning
With massive population growth and a shift in the urban culture in smart cities, the constant generation of waste continues to create unsanitary...
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Dependability analysis and disaster recovery measures in smart hospital systems
There is a growing importance of the Internet of Medical Things (IoMT), an emerging aspect of the Internet of Things (IoT), in smart healthcare. With...
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Secure privacy-enhanced fast authentication and key management for IoMT-enabled smart healthcare systems
The smart healthcare system advancements have introduced the Internet of Things, enabling technologies to improve the quality of medical services....
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Energy-Efficient Median Filter Core Architecture for Impulse Noise Removal in Smart Measurement Systems
In modern measurement systems, preserving accurate data integrity is essential for reliable and precise measurements. The presence of impulse noise...
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Positioning and tracking with ODE-LSTM algorithm for emerging smart rail systems
In this paper, we propose a NLOS positioning and tracking method in order to be applied in the emerging smart rail systems. By analyzing MIMO scatter...
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A federated learning approach for smart healthcare systems
With periodic technology advancements and pandemic-like situations, remote patient health monitoring has increased significantly. The Internet of...
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Deep learning-based network intrusion detection in smart healthcare enterprise systems
Network-based intrusion detection (N-IDS) is an essential system inside an organization in a smart healthcare enterprise system to prevent the system...
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IoT-Enabled Smart Solar Energy Management System for Enhancing Smart Grid Power Quality and Reliability
Voltage fluctuations and power grid instability are caused by the growing use of distributed renewable energy sources (RESs) like solar energy. The...
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SPEI-FL: Serverless Privacy Edge Intelligence-Enabled Federated Learning in Smart Healthcare Systems
Smart healthcare systems promise significant benefits for fast and accurate medical decisions. However, working with personal health data presents...
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Smart-Systems in STEM Education
The article “Smart-Systems in STEM Education” explores the significance of integrating “Smart-systems” technologies into STEM (Science, Technology,...
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Smart scheduler: an adaptive NVM-aware thread scheduling approach on NUMA systems
NVM provides large memory capacity, long-term data durability, and high memory bandwidth for multi-thread applications on cloud servers. Nowadays,...
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Blockchain based reputation management, data storage and distributed revocation in vehicular energy networks in smart health care systems
In vehicular energy networks (VENs) operating in smart health care systems (SHaCarS), reputation of vehicles, i.e., ambulances, plays an important...
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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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Smart GAN: a smart generative adversarial network for limited imbalanced dataset
Advancements in Machine Learning (ML) and Computer Vision have led to notable improvements in the detection of breast cancer. However, the accuracy...
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Energy-efficient cluster head using modified fuzzy logic with WOA and path selection using enhanced CSO in IoT-enabled smart agriculture systems
The advent of Internet of Things (IoT) in agriculture has revolutionized the way farmers monitor and manage their crops. IoT-enabled sensors can...
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My smart home: an auto-ethnography of learning to live with smart technologies
Smart home technology is expected to be widespread in the future and to accommodate a green transition to reduce and time-shift energy consumption....
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Research on Multi-tasking Smart Cars Based on Autonomous Driving Systems
Using fewer sensors to achieve more autonomous driving tasks has become a challenge. Some of the existing research implements a single neural network...
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Forecasting Smart Grid Stability Using a Hybrid CNN Bi-LSTM Approach
The prediction of smart grid stability is paramount for identifying contributors to network instabilities, yet it remains a challenging endeavor. To...
