A review of data mining applications in semiconductor manufacturing

P Espadinha-Cruz, R Godina, EMG Rodrigues - Processes, 2021 - mdpi.com
For decades, industrial companies have been collecting and storing high amounts of data
with the aim of better controlling and managing their processes. However, this vast amount …

Protection of data privacy from vulnerability using two-fish technique with Apriori algorithm in data mining

D Dhinakaran, PMJ Prathap - The Journal of Supercomputing, 2022 - Springer
The confidential data is mainly managed by creating passwords, tokens, and unique
identifiers in an authorized manner. These records must be kept in a safe location away from …

A lightweight deep learning architecture for the automatic detection of pneumonia using chest X-ray images

M Trivedi, A Gupta - Multimedia Tools and Applications, 2022 - Springer
Pneumonia is a life-threatening respiratory lung disease. Children are more prone to be
affected by the disease and accurate manual detection is not easy. Generally, chest …

Issues and Challenges of KDD Model for Distributed Data Mining Techniques and Architecture

M Waseem, S Abidin - 2023 10th International Conference on …, 2023 - ieeexplore.ieee.org
We are currently seeing a data explosion and witnessing a meteoric rise in database sizes;
therefore, with the widespread availability of such large volumes of data, there has arisen an …

Semiconductor manufacturing process improvement using data-driven methodologies

H Chowdhury - 2023 - preprints.org
The paper investigates into the intricacies of semiconductor manufacturing, a highly complex
process entailing a wide array of subprocesses and diverse equipment. Semiconductors are …

Leveraging pervasive computing for ambient intelligence: A survey on recent advancements, applications and open challenges

A Bimpas, J Violos, A Leivadeas, I Varlamis - Computer Networks, 2024 - Elsevier
The advent of pervasive computing and ambient intelligence has opened up new
possibilities for the development of intelligent systems that can adapt to the needs of their …

Prelarge-based utility-oriented data analytics for transaction modifications in internet of things

U Yun, H Kim, T Ryu, Y Baek, H Nam… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
The Internet of Things (IoT) environment includes things that exchange information using
data generated through sensors. The IoT technology can be executed efficiently by …

Secure latent fingerprint storage and self-recovered reconstruction using POB number system

A Muhammed, AR Pais - Pattern Recognition Letters, 2023 - Elsevier
Latent fingerprints are the unintentionally deposited fingerprint impressions gathered from
the crime scenes. Many criminal investigation agencies consider latent fingerprints as a …

The Dynamics and Implications of the Internet of Things on Data Mining

B Lainjo, H Tmouche - International Journal of Information …, 2023 - journal.jis-institute.org
The research explores and understands the thematic dynamics of the Internet of Things (IoT)
and its complementary and cross-cutting data mining (DM) platform. As part of the process …

The generic framework of privacy preserving data mining phases: challenges & future directions

SA Abdelhameed, SM Moussa… - 2021 Tenth …, 2021 - ieeexplore.ieee.org
The recent era is witnessing great advances in technologies, communication, and storage
methods. This gave the ability to business organizations to collect and store huge volumes …