Biomedical image classification in a big data architecture using machine learning algorithms

C Tchito Tchapga, TA Mih… - Journal of …, 2021 - Wiley Online Library
In modern‐day medicine, medical imaging has undergone immense advancements and can
capture several biomedical images from patients. In the wake of this, to assist medical …

A novel method for prediction of skin disease through supervised classification techniques

K Meena, NNK Veni, BS Deepapriya, PAH Vardhini… - Soft Computing, 2022 - Springer
Skin diseases are the most important worrying problems in societies because it affects the
patients both physically and psychologically. Skin disease is one of the highly prone to risk …

A mixed integer linear programming support vector machine for cost-effective group feature selection: branch-cut-and-price approach

IG Lee, SW Yoon, D Won - European Journal of Operational Research, 2022 - Elsevier
Recently, cost-based feature selection has received significant attention due to its great
ability to achieve promising prediction accuracy at a minimum feature acquisition cost. To …

Terahertz Data Extraction and Analysis based on Deep Learning Techniques for Emerging Applications

M Gezimati, G Singh - IEEE Access, 2024 - ieeexplore.ieee.org
Following the recent progress in the development of Terahertz (THz) generation and
detection, THz technology is being widely used to characterize test sample properties in …

Local representation‐based neighbourhood for robust classification

Z Yao, Y Qu, L Yang, Y Tan, C Shang, F Chao… - Expert …, 2024 - Wiley Online Library
Abstract Representation‐based classification (RC) is an effective gauge of data similarity
between a single instance and the whole dataset, which extends traditional individual‐wise …

Exclusive lasso-based k-nearest-neighbor classification

L Qiu, Y Qu, C Shang, L Yang, F Chao… - Neural Computing and …, 2021 - Springer
Conventionally, the k nearest-neighbor (k NN) classification is implemented with the use of
the Euclidean distance-based measures, which are mainly the one-to-one similarity …

Separation of Different Blogs from Skin Disease Data using Artificial Intelligence

MJ Abdulaal, IM Mehedi, AJ Aljohani… - Computational …, 2022 - Wiley Online Library
A combination of environmental conditions may cause skin illness everywhere on the earth,
and it is one of the most dangerous diseases that can develop as a result. A major goal in …

Machine learning methods predict up and down trends for stock returns

Y Yang, X Hu - 2022 - researchsquare.com
Stock returns are influenced by many factors such as economy, politics, psychology and
culture etc. Screening out some important factors that really affect up and down trends can …

[PDF][PDF] Research Article Separation of Different Blogs from Skin Disease Data using Artificial Intelligence

MJ Abdulaal, IM Mehedi, AJ Aljohani, AH Milyani… - 2022 - academia.edu
A combination of environmental conditions may cause skin illness everywhere on the earth,
and it is one of the most dangerous diseases that can develop as a result. A major goal in …