A review of data mining applications in semiconductor manufacturing
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 …
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 …
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 …
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
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 …
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 …
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
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 …
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
The Internet of Things (IoT) environment includes things that exchange information using
data generated through sensors. The IoT technology can be executed efficiently by …
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 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 …
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 …
methods. This gave the ability to business organizations to collect and store huge volumes …