A review on Internet of Things (IoT), Internet of everything (IoE) and Internet of nano things (IoNT)

MH Miraz, M Ali, PS Excell… - … Internet Technologies and …, 2015 - ieeexplore.ieee.org
The current prominence and future promises of the Internet of Things (IoT), Internet of
Everything (IoE) and Internet of Nano Things (IoNT) are extensively reviewed and a …

Internet of nano-things, things and everything: future growth trends

MH Miraz, M Ali, PS Excell, R Picking - Future Internet, 2018 - mdpi.com
The current statuses and future promises of the Internet of Things (IoT), Internet of Everything
(IoE) and Internet of Nano-Things (IoNT) are extensively reviewed and a summarized survey …

Blockiotintelligence: A blockchain-enabled intelligent IoT architecture with artificial intelligence

SK Singh, S Rathore, JH Park - Future Generation Computer Systems, 2020 - Elsevier
In the recent year, Internet of Things (IoT) is industrializing in several real-world applications
such as smart transportation, smart city to make human life reliable. With the increasing …

Towards secure fitness framework based on IoT-enabled blockchain network integrated with machine learning algorithms

F Jamil, HK Kahng, S Kim, DH Kim - Sensors, 2021 - mdpi.com
Blockchain technology has recently inspired remarkable attention due to its unique features,
such as privacy, accountability, immutability, and anonymity, to name of the few. In contrast …

Privacy-preserving in smart contracts using blockchain and artificial intelligence for cyber risk measurements

BD Deebak, ALT Fadi - Journal of Information Security and Applications, 2021 - Elsevier
Blockchain application and cyber-physical systems play a crucial role to modernize the
traditional industrial process, technical procedures, and business models. It uses frame …

Cybermatics: Cyber–physical–social–thinking hyperspace based science and technology

H Ning, H Liu, J Ma, LT Yang, R Huang - Future generation computer …, 2016 - Elsevier
Abstract The Internet of Things (IoT) is becoming an attractive system paradigm, in which
physical perceptions, cyber interactions, social correlations, and even cognitive thinking can …

The structure of reinforcement-learning mechanisms in the human brain

JP O'Doherty, SW Lee, D McNamee - Current Opinion in Behavioral …, 2015 - Elsevier
Highlights•Reinforcement-learning algorithms are a useful framework for investigating the
neurobiology of action selection for reward.•Multiple approaches have been taken in the …

Task complexity interacts with state-space uncertainty in the arbitration between model-based and model-free learning

D Kim, GY Park, JP O′ Doherty, SW Lee - Nature communications, 2019 - nature.com
It has previously been shown that the relative reliability of model-based and model-free
reinforcement-learning (RL) systems plays a role in the allocation of behavioral control …

Design of a gait phase recognition system that can cope with EMG electrode location variation

SW Lee, T Yi, JW Jung, Z Bien - IEEE Transactions on …, 2015 - ieeexplore.ieee.org
Electromyogram (EMG) signal-based gait phase recognition for walking-assist devices
warrants much attention in human-centered system design as it well exemplifies human-in …

Modeling IoT-based solutions using human-centric wireless sensor networks

Á Monares, SF Ochoa, R Santos, J Orozco… - Sensors, 2014 - mdpi.com
The Internet of Things (IoT) has inspired solutions that are already available for addressing
problems in various application scenarios, such as healthcare, security, emergency support …