Remote big data management tools, sensing and computing technologies, and visual perception and environment mapping algorithms in the Internet of Robotic …

M Andronie, G Lăzăroiu, OL Karabolevski… - Electronics, 2022 - mdpi.com
The purpose of our systematic review was to inspect the recently published research on
Internet of Robotic Things (IoRT) and harmonize the assimilations it articulates on remote …

SMSH: Secure surveillance mechanism on smart healthcare IoT system with probabilistic image encryption

J Khan, JP Li, B Ahamad, S Parveen, AU Haq… - IEEE …, 2020 - ieeexplore.ieee.org
The Internet of Things is made of diverse networked things (ie, smart, intelligent devices) that
are consistently interconnected, producing meaningful data across the network without …

[HTML][HTML] A scoping review of preprocessing methods for unstructured text data to assess data quality

M Nesca, A Katz, CK Leung, LM Lix - International Journal of …, 2022 - ncbi.nlm.nih.gov
Objective Our objective was to systematically document current research and practices
about NLP preprocessing methods to describe or improve the quality of UTD, including UTD …

[HTML][HTML] Data-related concepts for artificial intelligence education in K-12

V Olari, R Romeike - Computers and Education Open, 2024 - Elsevier
Due to advances in Artificial Intelligence (AI), computer science education has rapidly
started to include topics related to AI along K-12 education. Although this development is …

Mining quality determinants of product-service systems from user-generated contents

L Mastrogiacomo, F Barravecchia… - Quality …, 2021 - Taylor & Francis
The concurrent availability of an ever-increasing volume of User-Generated Content (UGC)
and text mining techniques has enabled methods to conduct both qualitative and …

Product quality tracking based on digital Voice-of-Customers

F Barravecchia, L Mastrogiacomo… - … Quality Management & …, 2023 - Taylor & Francis
Nowadays, word of mouth and the Voice-of-Customers have largely left their physical and
relational dimension to be replaced by online digital platforms where users can describe …

Deep learning-based data imputation on time-variant data using recurrent neural network.

M Sangeetha… - Soft Computing-A Fusion …, 2020 - search.ebscohost.com
In general, numerous inbuilt diagnosis complications are due to improper or missing data.
Thus, it becomes mandatory to perform proper imputation of the missed values to predict the …

Cyber-physical attack vulnerabilities in manufacturing quality control tools

AE Elhabashy, LJ Wells, JA Camelio - Quality Engineering, 2020 - Taylor & Francis
With advances in computer and networking technologies, along with the increasing
dependency on interconnected cyber-physical components, the threat of cyber-physical …

Application intelligent search and recommendation system based on speech recognition technology

J Jiang, HH Wang - International Journal of Speech Technology, 2021 - Springer
With the progress of science and technology, artificial intelligence as the emerging tool has
been deeply into our lives. The application of modern intelligent equipment is more and …

KA-VoC Map: Classifying product Key-attributes from digital voice-of-customer

F Barravecchia, L Mastrogiacomo… - Quality …, 2022 - Taylor & Francis
Manufacturers and service providers need new tools to leverage the value of the digital
Voice-of-Customer (VoC). These unstructured and disorganized data need ad-hoc …