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Breast Cancer Screening Using Machine Learning Models
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 …
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
In the ever-changing world of business, gaining valuable insights from customer
perspectives is crucial. Consumer evaluations are crucial performance indicators for …
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 …
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 …
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
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 …
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 …
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
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 …
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 …
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 …
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
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 …
the incidence of this malignancy, early detection has become a top priority. Early detection …