Green Internet of Things (GIoT): Vision, applications and research challenges
AE Varjovi, S Babaie - Sustainable Computing: Informatics and Systems, 2020 - Elsevier
Abstract Internet of Things (IoT) as an emerging technology provides interconnections
between various objects with three features, ie, anything, anyplace, and anytime. Due to the …
between various objects with three features, ie, anything, anyplace, and anytime. Due to the …
Random forest for big data classification in the internet of things using optimal features
The internet of things (IoT) is an internet among things through advanced communication
without human's operation. The effective use of data classification in IoT to find new and …
without human's operation. The effective use of data classification in IoT to find new and …
Effective features to classify ovarian cancer data in internet of medical things
Ovarian Cancer (OC) is a type of cancer that affects ovaries in women, and is difficult to
detect at initial stage resulting to increased mortality rate. The OC data generated from the …
detect at initial stage resulting to increased mortality rate. The OC data generated from the …
Modeling and simulation of complex manufacturing phenomena using sensor signals from the perspective of Industry 4.0
AMMS Ullah - Advanced Engineering Informatics, 2019 - Elsevier
This article presents a methodology defined as semantic modeling to create computable
virtual abstractions of complex manufacturing phenomena denoted as phenomena twins …
virtual abstractions of complex manufacturing phenomena denoted as phenomena twins …
Towards an optimal KELM using the PSO-BOA optimization strategy with applications in data classification
Y Yue, L Cao, H Chen, Y Chen, Z Su - Biomimetics, 2023 - mdpi.com
The features of the kernel extreme learning machine—efficient processing, improved
performance, and less human parameter setting—have allowed it to be effectively used to …
performance, and less human parameter setting—have allowed it to be effectively used to …
A machine learning framework for investigating data breaches based on semantic analysis of adversary's attack patterns in threat intelligence repositories
With the ever increasing cases of cyber data breaches, the manual process of sifting through
tons of security logs to investigate cyber-attacks is error-prone and time-consuming …
tons of security logs to investigate cyber-attacks is error-prone and time-consuming …
Multilayered-quality education ecosystem (MQEE): an intelligent education modal for sustainable quality education
Sustainable quality education is a big challenge even for the developed countries. In
response to this, education 4.0 is gradually expanding as a new era of education. This work …
response to this, education 4.0 is gradually expanding as a new era of education. This work …
Experimental comparison of the diagnostic capabilities of classification and clustering algorithms for the QoS management in an autonomic IoT platform
Abstract The Internet of Things (IoT) platforms must allow the communication between the
Applications and Devices according to their non-functional requirements. One of the main …
Applications and Devices according to their non-functional requirements. One of the main …
A privacy-preserving approach to prevent feature disclosure in an IoT scenario
In this paper, we propose a privacy-preserving approach to prevent feature disclosure in a
multiple IoT scenario, ie, a scenario where objects can be organized in (partially …
multiple IoT scenario, ie, a scenario where objects can be organized in (partially …
Knee/elbow estimation based on first derivative threshold
Estimating the knee/elbow point in error curves is a challenging task. However, most of the
time these points represent ideal compromises or ideal parameters for several tasks …
time these points represent ideal compromises or ideal parameters for several tasks …