LightGBM empowered by whale optimization for thyroid disease detection

BB Sinha, M Ahsan, R Dhanalakshmi - International Journal of Information …, 2023 - Springer
Thyroid disorder is a significant source of formulation in medical classification and
prognosis, with onset being a challenging assumption in medical study. The thyroid gland is …

A multiple multilayer perceptron neural network with an adaptive learning algorithm for thyroid disease diagnosis in the internet of medical things

M Hosseinzadeh, OH Ahmed, MY Ghafour… - The Journal of …, 2021 - Springer
Medical information systems such as Internet of Medical Things (IoMT) are gained special
attention over recent years. X-ray and MRI images are important sources of information to be …

Diagnosis of Parkinson's disease using modified grey wolf optimization

P Sharma, S Sundaram, M Sharma, A Sharma… - Cognitive Systems …, 2019 - Elsevier
This paper presents the Modified Grey Wolf Optimization (MGWO) algorithm which helps
with the identification of the symptoms of Parkinson's disease at a premature stage …

Energy consumption analysis of Virtual Machine migration in cloud using hybrid swarm optimization (ABC–BA)

K Karthikeyan, R Sunder, K Shankar… - The Journal of …, 2020 - Springer
A cloud data center consumes more energy for computation and switching servers between
modes. Virtual Machine (VM) migration enhances the execution of cloud server farm in terms …

An optimal least square support vector machine based earnings prediction of blockchain financial products

M Sivaram, EL Lydia, IV Pustokhina… - IEEE …, 2020 - ieeexplore.ieee.org
The booming applications of bitcoin Blockchain technologies made investors concerned
about the return and risk of financial products. So, the return rate of bitcoin must be foreseen …

A random walk Grey wolf optimizer based on dispersion factor for feature selection on chronic disease prediction

K Deep - Expert Systems with Applications, 2022 - Elsevier
In the field of Chronic disease prediction, identifying the relevant features plays an important
role for early disease diagnosis. With a high dimensionality of data, search for an adequate …

Hourly rainfall forecast model using supervised learning algorithm

Q Zhao, Y Liu, W Yao, Y Yao - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Previous studies on short-term rainfall forecast using precipitable water vapor (PWV) and
meteorological parameters mainly focus on rain occurrence, while the rainfall forecast is …

Effective features to classify ovarian cancer data in internet of medical things

M Elhoseny, GB Bian, SK Lakshmanaprabu… - Computer Networks, 2019 - Elsevier
Ovarian Cancer (OC) is a type of cancer that affects ovaries in women, and is difficult to
detect at initial stage resulting to increased mortality rate. The OC data generated from the …

Multi-channel convolutional neural network architectures for thyroid cancer detection

X Zhang, VCS Lee, J Rong, F Liu, H Kong - Plos one, 2022 - journals.plos.org
Early detection of malignant thyroid nodules leading to patient-specific treatments can
reduce morbidity and mortality rates. Currently, thyroid specialists use medical images to …

Modeling of freeway real-time traffic crash risk based on dynamic traffic flow considering temporal effect difference

Y Yang, Y Yin, Y Wang, R Meng… - Journal of transportation …, 2023 - ascelibrary.org
With the development of traffic detection facilities technology, it is currently possible to obtain
high-resolution traffic flow data. Due to the particular driving characteristics of vehicles on …