[HTML][HTML] Lung cancer disease prediction with CT scan and histopathological images feature analysis using deep learning techniques

V Rajasekar, MP Vaishnnave, S Premkumar… - Results in …, 2023 - Elsevier
Lung cancer is characterized by the uncontrollable growth of cells in the lung tissues. Early
diagnosis of malignant cells in the lungs, which provide oxygen to the human body and …

Back-propagation extreme learning machine

W Zou, Y Xia, W Cao - Soft Computing, 2022 - Springer
Abstract Incremental Extreme Learning Machine (I-ELM) is a typical constructive feed-
forward neural network with random hidden nodes, which can automatically determine the …

DNA encoded color image encryption based on chaotic sequence from neural network

C Senthilkumar, M Thirumalaisamy… - Journal of Signal …, 2023 - Springer
Communication in any form requires secrecy to ensure the message is received and
interpreted only by the intended receiver. Fast moving communication technologies enables …

Blockchain for energy transactions

S Krishnamoorthi, V Rajasekar, B Balusamy - Blockchain-Based Systems …, 2023 - Elsevier
Blockchain is a decentralized network with peer-to-peer communication. Peers are the
active participants of the network. Peers are also called nodes performing transactions …

An efficient wind measurement method with chaotic-sequence improved genetic-particle swarm optimization algorithm

E Wang, Z Mao, J Wang, D Lin - Journal of Intelligent & Fuzzy …, 2023 - content.iospress.com
Wind power is widely used in industry, meteorology, shipping and so on. Accurate
measurement of wind parameters is the key to improve the efficiency of wind power …

Rewarding Reviews with Tokens Using Smart Contracts

K Devendran, V Rajasekar, V Sharma… - … in Technology and …, 2023 - ieeexplore.ieee.org
Research shows that 68% of online purchases are influenced by the reviews of the products
that are being sold. Online retailers know the importance of online reviews and how those …

A Novel Transfer Learning Approach for Eye Tumour Detection using Pre-Trained CNN Models

G Prabaharan, V Rajasekar… - 2023 Third International …, 2023 - ieeexplore.ieee.org
According to a recent study, using retinal imaging to identify the tumour in the eye is difficult.
When an image is analyzed, the affected region of the lesion impacted retinal picture is not …

A Machine Learning Approach for Predicting Disease in Heart Using Logistic Regression

M Azhar, LM Gladence - 2022 5th International Conference on …, 2022 - ieeexplore.ieee.org
The heart plays an important role in humans. The diagnosis and prediction part of the heart
disease prediction process improves accuracy, completeness and accuracy in diseases …

CNN Architecture and Classification of Miosis and Mydriasis Clinical Conditions

GK Sriram, U Rajasekaran, A Malini - Artificial Intelligence in IoT and …, 2023 - Springer
Deep Learning has been a revolutionary innovation in the field of medical imaging. The
domains that once required hours of intense study for detection or classification of a disease …

Fault diagnosis in digital twin manufacturing

V Rajasekar, K Sathya, RK Dhanaraj - Digital Twin for Smart Manufacturing, 2023 - Elsevier
Modern technologies like artificial intelligence (AI), big data analytics, cloud technology, and
the Internet of Things (IoT) have significantly accelerated the growth of industrial automation …