An improved random forest-based rule extraction method for breast cancer diagnosis

S Wang, Y Wang, D Wang, Y Yin, Y Wang, Y Jin - Applied Soft Computing, 2020 - Elsevier
Breast cancer has been becoming the main cause of death in women all around the world.
An accurate and interpretable method is necessary for diagnosing patients with breast …

[Retracted] Effective Image Processing and Segmentation‐Based Machine Learning Techniques for Diagnosis of Breast Cancer

S Chaudhury, AN Krishna, S Gupta… - … Methods in Medicine, 2022 - Wiley Online Library
Breast cancer is the second leading cause of death among women, behind only heart
disease. However, despite the high incidence and mortality rates associated with breast …

Automatic human emotion recognition system using facial expressions with convolution neural network

RK Madupu, C KOTHAPALLI, V YARRA… - 2020 4th …, 2020 - ieeexplore.ieee.org
Emotion recognition using facial expression is very much necessary these days. Different
kinds of emotions reflect a different definitions. Facial emotion recognition plays a major role …

Machine learning based online handwritten Telugu letters recognition for different domains

B Sankara Babu, S Nalajala, K Sarada… - A Fusion of Artificial …, 2022 - Springer
Trending innovations utilized in numerous handwriting (HW) pattern detection of diverse
individuals are machine learning and neural networks. The (CNN) handwritten characters of …

Breast cancer detection based on feature selection using enhanced grey wolf optimizer and support vector machine algorithms

S Kumar, M Singh - Vietnam Journal of Computer Science, 2021 - World Scientific
Breast cancer is the leading cause of high fatality among women population. Identification of
the benign and malignant tumor at correct time plays a critical role in the diagnosis of breast …

Feature-Based Sentimental Analysis on Public Attention towards COVID-19 Using CUDA-SADBM Classification Model

SK Pathuri, N Anbazhagan, GP Joshi, J You - Sensors, 2021 - mdpi.com
The COVID-19 pandemic has spread to almost all countries of the World and affected
people both mentally and economically. The primary motivation of this research is to …

PCA-DNN: A Novel Deep Neural Network Oriented System for Breast Cancer Classification

P Rani, R Kumar, A Jain, R Lamba… - … on Pervasive Health …, 2023 - publications.eai.eu
INTRODUCTION: The number of women diagnosed with breast cancer has risen rapidly in
recent years all around the world, and this trend is anticipated to continue. After lung cancer …

RETRACTED: Mixed-mode database miner classifier: Parallel computation of graphical processing unit mining

SR Nayak, S Sivakumar, AK Bhoi… - … Journal of Electrical …, 2023 - journals.sagepub.com
Graphical processing unit (GPU) has gained more popularity among researchers in the field
of decision making and knowledge discovery systems. However, most of the earlier studies …

Enhanced computerized bone fracture detection using harris corner detection

A Bekkanti, S Karimunnisa… - … on Smart Electronics …, 2020 - ieeexplore.ieee.org
According to the global statistical report by WHO (World Health Organisation) over 3000
accidents are occurring per day in India. Bone fractures have become very common …

Application of serum mid-infrared spectroscopy combined with an ensemble learning method in rapid diagnosis of gliomas

H Qu, W Wu, C Chen, Z Yan, W Guo, C Meng, X Lv… - Analytical …, 2021 - pubs.rsc.org
The diffuse growth of glioma cells leads to gliomatosis, which has less cure rate and high
mortality. As the severity deepens, the treatment difficulty and mortality of glioma patients …