[HTML][HTML] Convergence of Nanotechnology and Machine Learning: The State of the Art, Challenges, and Perspectives

A Tripathy, AY Patne, S Mohapatra… - International Journal of …, 2024 - mdpi.com
Nanotechnology and machine learning (ML) are rapidly emerging fields with numerous real-
world applications in medicine, materials science, computer engineering, and data …

Assessing the environmental impacts of industrial processes: A statistical analysis approach

L Chen, D Chen, C Li, B Pan, L Zhang… - … -Eurasian Journal of …, 2023 - papers.ssrn.com
This article focuses on the application of statistical analysis in evaluating the environmental
impacts of industrial processes. Environmental engineering plays a crucial role in …

A rank model of casting non-conformity detection methods in the context of industry 4.0

R Ulewicz, K Czerwińska, A Pacana - Materials, 2023 - mdpi.com
In the face of ongoing market changes, multifaceted quality analyses contribute to ensuring
production continuity, increasing the quality of the products offered and maintaining a stable …

An acceptance sampling plan for the odd exponential-logarithmic Fréchet distribution: applications to quality control data

N Hussain, MH Tahir, F Jamal, M Ameeq… - Cogent …, 2024 - Taylor & Francis
This study focuses on implementing a group acceptance sampling plan (GASP) for
simultaneous inspection of objects with complex lifespan patterns described by the odd …

Group Acceptance Sampling Plan Using Marshall–Olkin Kumaraswamy Exponential (MOKw-E) Distribution

AM Almarashi, K Khan, C Chesneau, F Jamal - Processes, 2021 - mdpi.com
The current research concerns the group acceptance sampling plan in the case where (i) the
lifetime of the items follows the Marshall–Olkin Kumaraswamy exponential distribution …

Ensuring Sustainable Plant-Assisted Nanoparticles Synthesis through Process standardization and reproducibility: Challenges and Future Directions–A Review

SM Abegunde, BO Afolayan, TM Ilesanmi - Sustainable Chemistry One …, 2024 - Elsevier
The synthesis of nanoparticles using sustainable plant-assisted techniques offers great
potential for various applications, including biomedicine and environmental remediation …

Analyzing Polymer Science: A Data Analysis Approach

C Li, B Pan, Z Xiang, L Zhang, L Chen… - World Journal of …, 2023 - papers.ssrn.com
This article focuses on the application of data analysis in the field of polymer science.
Polymer science plays a critical role in various industries, including materials …

On the odd perks exponential model: An application to quality control data

S Shafiq, F Jamal, C Chesneau… - Advances in …, 2022 - Wiley Online Library
In the present study, the group acceptance plan is examined when the lifetime of an item
follows the odd Perks exponential distribution, and a large number of items regarded as a …

Dirichlet process Gaussian mixture models for real-time monitoring and their application to chemical mechanical planarization

JP Liu, OF Beyca, PK Rao, ZJ Kong… - IEEE Transactions …, 2016 - ieeexplore.ieee.org
The goal of this work is to use sensor data for online detection and identification of process
anomalies (faults). In pursuit of this goal, we propose Dirichlet process Gaussian mixture …

Indirect measurement methods for quality and process control in nanomanufacturing

Z Fan, X Hu, RX Gao - Nanomanufacturing and Metrology, 2022 - Springer
Rapid advancement over the past decades in nanomanufacturing has led to the realization
of a broad range of nanostructures such as nanoparticles, nanotubes, and nanowires. The …