Recent Advances in the Mechanisms and Regulation of QS in Dairy Spoilage by Pseudomonas spp.

L Quintieri, L Caputo, M Brasca, F Fanelli - Foods, 2021 - mdpi.com
Food spoilage is a serious issue dramatically impacting the worldwide need to counteract
food insecurity. Despite the very expensive application of low temperatures, the proper …

Information exchange between construction and manufacturing industries to achieve circular economy: A literature review and interviews with Swedish experts

A Moscati, P Johansson, R Kebede, A Pula, A Törngren - Buildings, 2023 - mdpi.com
The construction industry is responsible for 32% of the world's consumption of natural
resources, causing 850 million tons of construction waste in the European Union alone. The …

Improving comprehension: Intelligent tutoring system explaining the domain rules when students break them

O Sychev, N Penskoy, A Anikin, M Denisov… - Education …, 2021 - mdpi.com
Intelligent tutoring systems have become increasingly common in assisting students but are
often aimed at isolated subject-domain tasks without creating a scaffolding system from …

Logistics Work, ergonomics and social sustainability: Empirical musculoskeletal system strain assessment in retail intralogistics

D Loske, M Klumpp, M Keil, T Neukirchen - Logistics, 2021 - mdpi.com
Background: A large proportion of logistics jobs still rely on manual labor and therefore
place a physical strain on employees. This includes the handling of heavy goods and …

Computer Vision Tasks for Ambient Intelligence in Children's Health

D Germanese, S Colantonio, M Del Coco, P Carcagnì… - Information, 2023 - mdpi.com
Computer vision is a powerful tool for healthcare applications since it can provide objective
diagnosis and assessment of pathologies, not depending on clinicians' skills and …

Relational approaches related to digital supply chain management consolidation

G Minculete, SE Stan, L Ispas, I Virca, L Stanciu… - Sustainability, 2022 - mdpi.com
This study provides a specific theoretical–applicative approach, of economic content,
containing information and reference data in a logical and relational structure centered on …

Data Science application for failure data management and failure prediction in the oil and gas Industry: A case study

S Arena, G Manca, S Murru, PF Orrù, R Perna… - Applied Sciences, 2022 - mdpi.com
In the industrial domain, maintenance is essential to guarantee the correct operations,
availability, and efficiency of machinery and systems. With the advent of Industry 4.0 …

Analysis and visualization of production bottlenecks as part of a digital twin in industrial IoT

B Arff, J Haasis, J Thomas, C Bonenberger… - Applied Sciences, 2023 - mdpi.com
In the area of industrial Internet of Things (IIoT), digital twins (DTs) are a powerful means for
process improvement. In this paper the concept of a DT is explained and analysis …

Evolving Hybrid Deep Neural Network Models for End-to-End Inventory Ordering Decisions

T de Castro Moraes, J Qin, XM Yuan, EP Chew - Logistics, 2023 - mdpi.com
Background: Over the past decade, the potential advantages of employing deep learning
models and leveraging auxiliary data in data-driven end-to-end (E2E) frameworks to …

Towards the Estimation of Body Weight in Sheep Using Metaheuristic Algorithms from Biometric Parameters in Microsystems

E Camacho-Pérez, AJ Chay-Canul… - Micromachines, 2022 - mdpi.com
The Body Weight (BW) of sheep is an important indicator for producers. Genetic
management, nutrition, and health activities can benefit from weight monitoring. This article …