Analysis of skin cancer and patient healthcare using data mining techniques

N Arivazhagan, MA Mukunthan… - Computational …, 2022 - Wiley Online Library
Skin cancer is the uncontrolled growth of irregular cancer cells in the human‐skin's outer
layer. Skin cells commonly grow in an uneven pattern on exposed skin surfaces. The …

[PDF][PDF] The Smart Detection and Analysis on Skin Tumor Disease Using Bio Imaging Deep Learning Algorithm

J Seetha, D Nagaraju, T Kuntavai… - ICTACT Journal on …, 2023 - ictactjournals.in
Skin cancer is one of the most common and devastating forms of cancer. It is estimated that
one out of every five individuals will develop skin cancer at some point in their lifetime. Early …

[HTML][HTML] From basic approaches to novel challenges and applications in Sequential Pattern Mining

A Bechini, A Bondielli, P Dell'Oglio… - Applied Computing and …, 2023 - aimspress.com
Sequential Pattern Mining (SPM) is a branch of data mining that deals with finding
statistically relevant regularities of patterns in sequentially ordered data. It has been an …

AI-driven electro chromic materials and devices for nanofabrication in machine learning integrated environments

KM Prasanna, A Shukla, K Tamizharasu… - Optical and Quantum …, 2024 - Springer
This study looks into the introduction of AI-driven electrochromic materials and devices into
nanofabrication methods for use in ML-integrated environments. When exposed to an …

Smart Deep Learning Model to Recognize PCM Optimization Performance on Solar Cooling System

KM Prasanna, SV Francis, V Kumara… - Electric Power …, 2023 - Taylor & Francis
Abstract Phase Change Materials (PCMs) offer a significant advantage by reducing the need
for multiple cooling systems, potentially revolutionizing thermal comfort in buildings and …

[PDF][PDF] Data Mining Data Warehouse: An In-Depth Review

Z Khan - Advanced Engineering Science, 2023 - researchgate.net
Data warehousing and data mining are crucial aspects of modern businesses. Data mining
is the process of identifying patterns in data and using these patterns to derive useful …

Privacy-preserving intrusion detection in Internet of medical things neural networks using a novel recurrent U-Net auto-encoder algorithm for biomedical applications

M Ragul Vignesh, K Srihari… - Journal of Intelligent & …, 2023 - content.iospress.com
The rapid development of Internet of Things (IoT) technology has enabled the emergence of
the Internet of Medical Things (IoMT), especially in body area network applications. To …

Machine learning aided design and optimization of MEMS optical phased array with silicon micro mirrors for nanofabrication

S Premalatha, H Sharma, V Vekariya… - Optical and Quantum …, 2023 - Springer
The integration of microelectromechanical systems (MEMS) with optical phased arrays
(OPAs) has emerged as a promising approach for advanced optical beam steering …

A smart handling of bio-medical waste and its segregation with intelligant machine learning model

B Gupta, P Sreelatha, M Shanmathi… - 2023 International …, 2023 - ieeexplore.ieee.org
The Bio-Medical waste management system organizes everyday medical waste disposal in
hospitals. Daily medical waste from hospitals is delivered through it. A separate system is in …

Detection and Classification of Skin Cancer Using Molecular-Imaging Machine Learning (MIML) Algorithm

R Naveen, U Arunkumar… - 2023 7th …, 2023 - ieeexplore.ieee.org
Skin cancer is among the most prevalent forms of the disease. The abnormal multiplication
and spread of skin cells is the root cause of this disorder. And it's potent enough to infect the …