Breast Cancer Screening Using Machine Learning Models

G Singh, P Chaturvedi, A Shrivastava… - 2022 3rd International …, 2022 - ieeexplore.ieee.org
The main objective of this paper is the development of an Algorithm for Boolean Breast
Cancer Classification based on 116 patients with results by testing blood along with physical …

A robust hybrid approach with product context-aware learning and explainable ai for sentiment analysis in amazon user reviews

E Hashmi, SY Yayilgan - Electronic Commerce Research, 2024 - Springer
In the ever-changing world of business, gaining valuable insights from customer
perspectives is crucial. Consumer evaluations are crucial performance indicators for …

Efficient image encryption algorithm based on dynamic high-performance S-box and hyperchaotic system

Y Su, X Tong, M Zhang, Z Wang - Physica Scripta, 2023 - iopscience.iop.org
With the development of information technology, security, low latency, and instant
messaging have become a major demand. To solve this problem, this paper designs a …

A healthcare application based on IoT devices

Y Ghoul, O Naifar - Wireless Networks, 2024 - Springer
In recent times, the healthcare sector has witnessed a surge of growth and transformation.
Gone are the days when patients' communication with medical practitioners was restricted to …

Synchronization of a new chaotic system using adaptive control: Design and experimental implementation

A Roldán-Caballero, JH Pérez-Cruz… - …, 2023 - Wiley Online Library
This paper presents the design of an adaptive controller that solves the synchronization
control problem of two identical Nwachioma chaotic systems in a master‐slave …

Minimal underactuated synchronization with applications to secure communication

KHM Gularte, JCG Gómez, H dos Santos Rabelo… - … in Nonlinear Science …, 2023 - Elsevier
This work deals with the synchronization of a class of underactuated hyperchaotic systems.
The proposed method is based on Lyapunov theory, and it assumes a small initial …

Enhancement of mammographic images using histogram-based techniques for their classification using CNN

K Alshamrani, HA Alshamrani, FF Alqahtani… - Sensors, 2022 - mdpi.com
In the world, one in eight women will develop breast cancer. Men can also develop it, but
less frequently. This condition starts with uncontrolled cell division brought on by a change …

Application of machine learning models to the detection of breast cancer

N Binsaif - Mobile Information Systems, 2022 - Wiley Online Library
This work aims to build a binary breast cancer classifier algorithm based on the blood test
and anthropometric data (age, body mass index, glucose, insulin, homeostasis model …

A fast visually meaningful image encryption algorithm based on compressive sensing and joint diffusion and scrambling

D Zhang, C Yan, Y Duan, S Liang, J Wu, T Li - Multimedia Tools and …, 2024 - Springer
This paper introduces a novel Fast Visually Meaningful Image Encryption based on
Compressive Sensing and Joint Diffusion and Scrambling (FVMIECJ). Our approach …

Early recognition of skin malignancy in images based on convolutional networks by using dynamic system model

V Ramesh, AA Hamad, MF Jwaid… - Journal of …, 2022 - Wiley Online Library
Because of the high mortality rate, increased medical costs, and ongoing global growth in
the incidence of this malignancy, early detection has become a top priority. Early detection …