Machine learning and deep learning in smart manufacturing: The smart grid paradigm

T Kotsiopoulos, P Sarigiannidis, D Ioannidis… - Computer Science …, 2021 - Elsevier
Industry 4.0 is the new industrial revolution. By connecting every machine and activity
through network sensors to the Internet, a huge amount of data is generated. Machine …

Integrated-decision support system (DSS) for risk identification and mitigation in manufacturing industry for zero-defect-manufacturing (ZDM): a state-of-the-art review

MA Akbar, A Naseem, UK Zaman… - The International Journal …, 2024 - Springer
Risk management has always been a trend in manufacturing related literature in the era of
zero-defect-manufacturing. However, a gap still exists to present a holistic viewpoint of the …

Traffic state classification and prediction based on trajectory data

Y Yuan, W Zhang, X Yang, Y Liu, Z Liu… - Journal of Intelligent …, 2021 - Taylor & Francis
With the rapid increasing of car usage, congestion is becoming more and more severe in
metropolitans. To tackle this problem, the classification and prediction of traffic states are …

A new technique for subcontractor selection by adopting choosing by advantages

AM El-Kholy - International Journal of Construction Management, 2022 - Taylor & Francis
Proper selection of subcontractor is considered as an important criterion in the successful
management of the various construction projects. Previous methods used for subcontractor …

Measuring the effective implementation of the GEQIP reform at school level in Ethiopia

N Eryilmaz - Frontiers in Education, 2024 - frontiersin.org
This study examines the substantive impact of educational reforms on school and classroom
organization worldwide, noting that many reforms have been more rhetorical than practical …

Investment planning framework for mitigating cascading failures

BV Venkatasubramanian, S Hashemi, R Moreno… - Electric Power Systems …, 2024 - Elsevier
Critical component outages can lead to widespread cascading propagation, which is
however typically ignored in existing investment planning approaches. To address this gap …

Cluster-based spectral-spatial segmentation of hyperspectral imagery

SM Kennedy, W Williamson, JD Roth… - IEEE Access, 2020 - ieeexplore.ieee.org
In this paper, we develop and test a three-stage algorithm for performing unsupervised
segmentation of hyperspectral imagery. Each stage of the algorithm leverages modified …

Spatio-Temporal Contact Mining for Multiple Trajectories-of-Interest

A Madanayake, K Lee, I Lee - IEEE Access, 2024 - ieeexplore.ieee.org
Spatio-temporal trajectory is a movement of an object in space over a certain time period,
represented by a series of nodes composed of geospatial location and corresponding …

NP-Free: A Real-Time Normalization-free and Parameter-tuning-free Representation Approach for Open-ended Time Series

MC Lee, JC Lin, V Stolz - 2023 IEEE 47th Annual Computers …, 2023 - ieeexplore.ieee.org
To help analyze time series in data mining applications, many time series representation
approaches have been proposed to convert a raw time series into another series for …

Bottled water consumption habits and purchase behaviours of consumers in the urban areas of Adana

M Bulut, A Seçer - Turkish Journal of Agriculture-Food Science …, 2019 - agrifoodscience.com
In recent years, the world population, urbanization process and need for natural water
resources have increased. Therefore, providing the safe and clean drinking water has …