[HTML][HTML] Physiological and behavior monitoring systems for smart healthcare environments: A review

M Jacob Rodrigues, O Postolache, F Cercas - Sensors, 2020 - mdpi.com
Healthcare optimization has become increasingly important in the current era, where
numerous challenges are posed by population ageing phenomena and the demand for …

[HTML][HTML] Fault tolerance structures in wireless sensor networks (WSNs): Survey, classification, and future directions

GH Adday, SK Subramaniam, ZA Zukarnain, N Samian - Sensors, 2022 - mdpi.com
The Industrial Revolution 4.0 (IR 4.0) has drastically impacted how the world operates. The
Internet of Things (IoT), encompassed significantly by the Wireless Sensor Networks …

Fault diagnosis based on extremely randomized trees in wireless sensor networks

U Saeed, SU Jan, YD Lee, I Koo - Reliability engineering & system safety, 2021 - Elsevier
Abstract Wireless Sensor Network (WSN) being highly diversified cyber–physical system
makes it vulnerable to numerous failures, which can cause devastation towards safety …

{HAWatcher}:{Semantics-Aware} anomaly detection for appified smart homes

C Fu, Q Zeng, X Du - … USENIX Security Symposium (USENIX Security 21 …, 2021 - usenix.org
As IoT devices are integrated via automation and coupled with the physical environment,
anomalies in an appified smart home, whether due to attacks or device malfunctions, may …

Cyber security: New realities for industry 4.0 and society 5.0

A Deshmukh, DS Patil, G Soni… - Handbook of Research on …, 2023 - igi-global.com
Industry 4.0 is a new industrial revolution based on the deployment of billions of internet of
things (IoTs) devices. With this industrial revolution, Society 5.0 is also taking place …

A roadmap toward the resilient internet of things for cyber-physical systems

D Ratasich, F Khalid, F Geissler, R Grosu… - IEEE …, 2019 - ieeexplore.ieee.org
The Internet of Things (IoT) is a ubiquitous system connecting many different devices-the
things-which can be accessed from the distance. The cyber-physical systems (CPSs) …

[HTML][HTML] Continuous emotion recognition for long-term behavior modeling through recurrent neural networks

I Kansizoglou, E Misirlis, K Tsintotas, A Gasteratos - Technologies, 2022 - mdpi.com
One's internal state is mainly communicated through nonverbal cues, such as facial
expressions, gestures and tone of voice, which in turn shape the corresponding emotional …

Quantification of HVAC energy savings through occupancy presence sensors in an apartment setting: Field testing and inverse modeling approach

Z Pang, M Guo, B Smith-Cortez, Z O'Neill, Z Yang… - Energy and …, 2024 - Elsevier
While many simulation-based studies have demonstrated the energy-saving potential of
occupancy-driven smart thermostats in residential buildings, field testing of these devices …

Generalized dataweighting via class-level gradient manipulation

C Chen, S Zheng, X Chen, E Dong… - Advances in …, 2021 - proceedings.neurips.cc
Label noise and class imbalance are two major issues coexisting in real-world datasets. To
alleviate the two issues, state-of-the-art methods reweight each instance by leveraging a …

[Retracted] SWOT: A Hybrid Hardware‐Based Approach for Robust Fault‐Tolerant Framework in a Smart Day Care

S Sharma, K Gupta, D Gupta, S Juneja… - Security and …, 2022 - Wiley Online Library
Internet of Things (IoT) has made its imprint on every part of the globe today. Offices,
households, factories, industries, agriculture, and day cares, among other places, have all …