A machine learning-based diagnosis of thyroid cancer using thyroid nodules ultrasound images

X Ma, B Xi, Y Zhang, L Zhu, X Sui, G Tian… - Current …, 2020 - ingentaconnect.com
Background: Ultrasound test is one of the routine tests for the diagnosis of thyroid cancer.
The diagnosis accuracy depends largely on the correct interpretation of ultrasound images …

Machine learning and whale optimization algorithm based design of energy management strategy for plug‐in hybrid electric vehicle

Z Hou, J Guo, J Xing, C Guo… - IET Intelligent Transport …, 2021 - Wiley Online Library
In this paper, a novel energy management strategy with the improved adaptability to various
conditions for plug‐in hybrid electric vehicle (PHEV) is proposed. The control parameters …

Using hierarchical likelihood towards support vector machine: theory and its application

RE Caraka, Y Lee, RC Chen, T Toharudin - IEEE Access, 2020 - ieeexplore.ieee.org
The H-likelihood method proposed by Lee and Nelder (1996) is extensively used in a wide
range of data. In terms of direction, repetitive measured data within classification can be …

Prediction of thyroid disease (hypothyroid) in early stage using feature selection and classification techniques

M Riajuliislam, KZ Rahim… - … conference on information …, 2021 - ieeexplore.ieee.org
Thyroid disease is one of the most common diseases among the female mass in
Bangladesh. Hypothyroid is a common variation of thyroid disease. It is clearly visible that …

Random cropping ensemble neural network for image classification in a robotic arm grasping system

B Cheng, W Wu, D Tao, S Mei, T Mao… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Robotic arms are expected to perform increasingly complex and intelligent tasks in industrial
applications. These functions depend, to a large extent, on successful image classification …

Improving weather dependent zone specific irrigation control scheme in IoT and big data enabled self driven precision agriculture mechanism

B Keswani, AG Mohapatra, P Keswani… - Enterprise Information …, 2020 - Taylor & Francis
Precision agriculture involves manipulation of variations in field productivity, maximization of
income, scale backing of wastes, and minimizing of the impact on surroundings using …

[PDF][PDF] Decision support system in kindergarten selection using TOPSIS method

M Muslihudin, M Ilayaraja… - … Journal of Recent …, 2019 - researchgate.net
Kindergarten is the most popular school in the world of early childhood, almost in every
country put kindergarten into the most important schools for children's education. In …

Thyroid prediction using ensemble data mining techniques

DC Yadav, S Pal - International Journal of Information Technology, 2022 - Springer
Data mining algorithms provide easy way to solve problem in medical data analysis. Data
mining supports in complex data analysis to identify each issue in dataset. Now-a-days …

Analysis of high-dimensional genomic data employing a novel bio-inspired algorithm

SK Baliarsingh, S Vipsita, K Muhammad, B Dash… - Applied Soft …, 2019 - Elsevier
Over the last decade, there has been a rapid growth in the generation and analysis of the
genomics data. Though the existing data analysis methods are capable of handling a …

Computer-aided diagnosis systems: a comparative study of classical machine learning versus deep learning-based approaches

R Guetari, H Ayari, H Sakly - Knowledge and Information Systems, 2023 - Springer
The diagnostic phase of the treatment process is essential for patient guidance and follow-
up. The accuracy and effectiveness of this phase can determine the life or death of a patient …