Advancing Food Manufacturing: Leveraging Robotic Solutions for Enhanced Quality Assurance and Traceability Across Global Supply Networks

JT Liberty, E Habanabakize, PI Adamu… - Trends in Food Science & …, 2024 - Elsevier
Background The food manufacturing industry faces increasing challenges such as
escalating demands for quality and traceability, labor shortages, and rising operational …

[HTML][HTML] Internet of Intelligent Things: A convergence of embedded systems, edge computing and machine learning

F Oliveira, DG Costa, F Assis, I Silva - Internet of Things, 2024 - Elsevier
This article comprehensively reviews the emerging concept of Internet of Intelligent Things
(IoIT), adopting an integrated perspective centred on the areas of embedded systems, edge …

An adaptable and unsupervised TinyML anomaly detection system for extreme industrial environments

M Antonini, M Pincheira, M Vecchio, F Antonelli - Sensors, 2023 - mdpi.com
Industrial assets often feature multiple sensing devices to keep track of their status by
monitoring certain physical parameters. These readings can be analyzed with machine …

Digital twins in the context of seaports and terminal facilities

J Neugebauer, L Heilig, S Voß - Flexible Services and Manufacturing …, 2024 - Springer
Increasing freight volumes and challenging environments in seaports and container
terminals worldwide require streamlined and reliable operations. Digital twins are seen as …

An optical flow-based method for condition-based maintenance and operational safety in autonomous cleaning robots

S Pookkuttath, BF Gomez, MR Elara… - Expert Systems with …, 2023 - Elsevier
Autonomous professional cleaning robots are ubiquitous today, coexist with humans, and
the demand continues to improve hygiene and productivity, especially in large indoor …

Deployment of artificial intelligence models on edge devices: A tutorial brief

M Żyliński, A Nassibi, I Rakhmatulin… - … on Circuits and …, 2023 - ieeexplore.ieee.org
Artificial intelligence (AI) on an edge device has enormous potential, including advanced
signal filtering, event detection, optimization in communications and data compression …

Integrated Edge Deployable Fault Diagnostic Algorithm for the Internet of Things (IoT): A Methane Sensing Application

SV Kumar, GAA Mary, M Mahdal - Sensors, 2023 - mdpi.com
The Internet of Things (IoT) is seen as the most viable solution for real-time monitoring
applications. But the faults occurring at the perception layer are prone to misleading the data …

Anomaly Detection in a Smart Industrial Machinery Plant Using IoT and Machine Learning

A Jaramillo-Alcazar, J Govea, W Villegas-Ch - Sensors, 2023 - mdpi.com
In an increasingly technology-driven world, the security of Internet-of-Things systems has
become a top priority. This article presents a study on the implementation of security …

[HTML][HTML] Advanced Data Augmentation Techniques for Enhanced Fault Diagnosis in Industrial Centrifugal Pumps

DY Kim, AB Kareem, D Domingo, BC Shin… - Journal of Sensor and …, 2024 - mdpi.com
This study presents an advanced data augmentation framework to enhance fault diagnostics
in industrial centrifugal pumps using vibration data. The proposed framework addresses the …

Investigation and Empirical Analysis of Transfer Learning for Industrial IoT Networks

P Yadav, V Rishiwal, M Yadav, A Alotaibi… - IEEE …, 2024 - ieeexplore.ieee.org
The Industrial Internet of Things Networks (IIoT-N) have revolutionized industrial systems by
connecting sensors, devices, and data analytics, creating complex, data-driven …