Search Results for author:
Found 8 papers, 1 papers with code
DeepHeteroIoT: Deep Local and Global Learning over Heterogeneous IoT Sensor Data
Internet of Things (IoT) sensor data or readings evince variations in timestamp range, sampling frequency, geographical location, unit of measurement, etc.
An AI-based Solution for Enhancing Delivery of Digital Learning for Future Teachers
There has been a recent and rapid shift to digital learning hastened by the pandemic but also influenced by ubiquitous availability of digital tools and platforms now, making digital learning ever more accessible.
An IIoT machine model for achieving consistency in product quality in manufacturing plants
In this paper, we present an Industrial Internet of Things (IIoT) machine model which enables effective monitoring and control of plant machinery so as to achieve consistency in product quality.
Evaluating Sensor Data Quality in Internet ofThings Smart Agriculture Applications
The unprecedented growth of Internet of Things (IoT) and its applications in areas such as Smart Agriculture compels the need to devise newer ways for evaluating the quality of such applications.
CorrDetector: A Framework for Structural Corrosion Detection from Drone Images using Ensemble Deep Learning
In this paper, we propose a new technique that applies automated image analysis in the area of structural corrosion monitoring and demonstrate improved efficacy compared to existing approaches.
ExpFinder: An Ensemble Expert Finding Model Integrating $N$-gram Vector Space Model and $μ$CO-HITS
In this paper, we propose $\textit{ExpFinder}$, a new ensemble model for expert finding, that integrates a novel $N$-gram vector space model, denoted as $n$VSM, and a graph-based model, denoted as $\textit{$\mu$CO-HITS}$, that is a proposed variation of the CO-HITS algorithm.
A Unified Knowledge Representation and Context-aware Recommender System in Internet of Things
Within the rapidly developing Internet of Things (IoT), numerous and diverse physical devices, Edge devices, Cloud infrastructure, and their quality of service requirements (QoS), need to be represented within a unified specification in order to enable rapid IoT application development, monitoring, and dynamic reconfiguration.
The Schema Editor of OpenIoT for Semantic Sensor Networks
Ontologies provide conceptual abstractions over data, in domains such as the Internet of Things, in a way that sensor data can be harvested and interpreted by people and applications.
