Data mining in predictive maintenance systems: A taxonomy and systematic review
Predictive maintenance is a field of study whose main objective is to optimize the timing and
type of maintenance to perform on various industrial systems. This aim involves maximizing …
type of maintenance to perform on various industrial systems. This aim involves maximizing …
Wireless transmissions, propagation and channel modelling for IoT technologies: Applications and challenges
The Internet of Things (IoT) has rapidly expanded for a wide range of applications towards a
smart future world by connecting everything. As a result, new challenges emerge in meeting …
smart future world by connecting everything. As a result, new challenges emerge in meeting …
Internet of Things (IoT): Opportunities, issues and challenges towards a smart and sustainable future
The rapid development and implementation of smart and IoT (Internet of Things) based
technologies have allowed for various possibilities in technological advancements for …
technologies have allowed for various possibilities in technological advancements for …
Internet of things for sustaining a smart and secure healthcare system
The thyroid is a key endocrine gland in the human body that regulates several bodily
processes, including protein synthesis, energy consumption, and the body's reaction to other …
processes, including protein synthesis, energy consumption, and the body's reaction to other …
Industry 4.0 in the logistics field: A bibliometric analysis
B Bigliardi, G Casella, E Bottani - IET Collaborative Intelligent …, 2021 - Wiley Online Library
Logistics plays an essential role in supply chain management to plan and coordinate the
movement of products in a timely, safely and effectively way. The recent term Logistics 4.0 …
movement of products in a timely, safely and effectively way. The recent term Logistics 4.0 …
Artificial intelligence for predictive maintenance applications: key components, trustworthiness, and future trends
A Ucar, M Karakose, N Kırımça - Applied Sciences, 2024 - mdpi.com
Predictive maintenance (PdM) is a policy applying data and analytics to predict when one of
the components in a real system has been destroyed, and some anomalies appear so that …
the components in a real system has been destroyed, and some anomalies appear so that …
Empowering freight transportation through Logistics 4.0: a maturity model for value creation
T Modica, C Colicchia, E Tappia… - Production Planning & …, 2023 - Taylor & Francis
Logistics 4.0 is a recognised lever for improving efficiency, effectiveness and sustainability in
logistics processes. Of these, the increasingly complex area of transport plays a key role in …
logistics processes. Of these, the increasingly complex area of transport plays a key role in …
Enhancing Artifact Protection in Smart Transportation Monitoring Systems via a Porous Structural Triboelectric Nanogenerator
Artifacts are irreplaceable treasures of human culture, and transportation monitoring is
critical for safeguarding valuable artifacts against damage during culture exchanges …
critical for safeguarding valuable artifacts against damage during culture exchanges …
Predictive maintenance in Industry 4.0: A systematic multi-sector map**
Industry 4.0 is strongly intertwined with big data streaming flows from intelligent sensors and
machinery installed in industrial facilities. Failures can disrupt production and lead the …
machinery installed in industrial facilities. Failures can disrupt production and lead the …
Potential of Advanced Technologies for Environmental Management Systems
M Sira - Management Systems in Production Engineering, 2024 - sciendo.com
Environmental management systems (EMS) are essential in promoting sustainable practices
and mitigating the adverse effects of human activities on the environment. As technology …
and mitigating the adverse effects of human activities on the environment. As technology …