[PDF][PDF] Efficient thyroid disorder identification with weighted voting ensemble of super learners by using adaptive synthetic sampling technique

N Afshan, Z Mushtaq, FS Alamri, MF Qureshi… - AIMS …, 2023 - researchgate.net
There are millions of people suffering from thyroid disease all over the world. For thyroid
cancer to be effectively treated and managed, a correct diagnosis is necessary. In this …

A proposal for Internet of Smart Home Things based on BCI system to aid patients with amyotrophic lateral sclerosis

WG de Oliveira Júnior, JM de Oliveira, R Munoz… - Neural Computing and …, 2020 - Springer
Smart devices are already present in all areas of knowledge: sometimes as the main role,
and sometimes as the supporting role. Regardless of their function, smart devices …

GAAE: a novel genetic algorithm based on autoencoder with ensemble classifiers for imbalanced healthcare data

PK Ram, P Kuila - The journal of supercomputing, 2023 - Springer
With the advancement of artificial intelligence (AI) and machine learning techniques, the
diseases can be early diagnosed and detected with the help of known healthcare data of …

[PDF][PDF] Wart treatment decision support using support vector machine

M Rahman, Y Zhou, S Wang, J Rogers - International Journal of …, 2020 - academia.edu
Warts are noncancerous benign tumors caused by the Human Papilloma Virus (HPV). The
success rates of cryotherapy and immunotherapy, two common treatment methods for …

Optimal feature selection for chronic kidney disease classification using deep learning classifier

K Shankar, P Manickam, G Devika… - 2018 IEEE …, 2018 - ieeexplore.ieee.org
Chronic Kidney Disease (CKD) is an increasing failure of kidney function leading to kidney
failure over the years. The disease settles down and hence makes its diagnosis difficult …

An efficient botnet detection with the enhanced support vector neural network

S Jagadeesan, B Amutha - Measurement, 2021 - Elsevier
As the botnet makes the way for many illegal activities, it is considered as the most critical
threats to cybersecurity. Although many detection models have been presented by the …

Optimized grass hopper algorithm for diagnosis of Parkinson's disease

S Sehgal, M Agarwal, D Gupta, S Sundaram… - SN Applied …, 2020 - Springer
Abstract The Modified Grasshopper Optimization Algorithm which identifies Parkinson
disease symptoms at an early (premature) stage was proposed. Parkinson disease, type of …

Performance of quantum kernel on initial learning process

T Tomono, S Natsubori - EPJ Quantum Technology, 2022 - epjqt.epj.org
For many manufacturing companies, the production line is very important. In recent years,
the number of small-quantity, high-mix products have been increasing, and the identification …

SVM Based Brain Tumor Detection and Classification System

BD Parameshachari, DSS Kumar - 2022 IEEE 2nd Mysore Sub …, 2022 - ieeexplore.ieee.org
The brain is the most significant organ in the body since it controls and regulates all vital
bodily activities, and a tumour is a bulk of tissue created by the growth of aberrant cells over …

Survey on deep learning algorithms

J Pamina, B Raja - … Journal of Emerging Technology and Innovative …, 2019 - papers.ssrn.com
In recent past years, deep learning algorithms are becoming more significant in object
recognition, Segmentation of image, speech recognition. Deep learning also provides …