[PDF][PDF] Analysis, prediction and evaluation of covid-19 datasets using machine learning algorithms

KB Prakash, SS Imambi, M Ismail, TP Kumar… - International …, 2020 - academia.edu
ABSTRACT COVID-19, Corona Virus Diasease-2019, belongs to genus of Coronaviridae. A
virus with no vaccine creating unpredictable havocs in the human lives and financial and …

A machine learning classification technique for predicting prostate cancer

M Alam, M Tahernezhadi, HK Vege… - … Conference on Electro …, 2020 - ieeexplore.ieee.org
This paper presents and validates various classification techniques on supervised machine
learning (ML) for predicting prostate cancer. A modified Logistic Regression (LR) classifier is …

2-D canonical correlation analysis based image super-resolution scheme for facial emotion recognition

Z Ullah, L Qi, D Binu, BR Rajakumar… - Multimedia Tools and …, 2022 - Springer
In this research work, a new Image super-resolution-based Face Emotion Recognition
Model has been introduced. The proposed work includes two major phases:(a) Facial image …

Prostate cancer classification with MRI using Taylor-Bird squirrel optimization based deep recurrent neural network

GV Kumar, MI Bellary, TB Reddy - The Imaging Science Journal, 2022 - Taylor & Francis
Prostate cancer is a type of cancer that develops in the prostate. The prostate is a little gland
in men that resembles a walnut and secretes seminal fluid, which nourishes and transports …

An extensive study of facial expression recognition using artificial intelligence techniques with different datasets

SR Karra, AL Kakhandki - Journal of Autonomous Intelligence, 2023 - jai.front-sci.com
Abstract Machine and deep learning (DL) algorithms have advanced to a point where a wide
range of crucial real-world computer vision problems can be solved. Facial Expression …

Evaluation of High-Dimensional Data Classification for Skin Malignancy Detection Using DL-Based Techniques

B Gunasundari, R Thiagarajan - Cancer Investigation, 2024 - Taylor & Francis
Skin cancer can be detected through visual screening and skin analysis based on the
biopsy and pathological state of the human body. The survival rate of cancer patients is low …

A variable block range fractal method for image compression

GA Shaik, TB Reddy, BM Ismail… - International Journal of …, 2024 - inderscienceonline.com
This paper presents and implements a variable block range fractal (VBRF) method for image
compression on RGB images of different categories. The proposed technique shows …

Sampling-based fuzzy speech clustering systems for faster communication with virtual robotics toward social applications

K Rajendra Prasad, K Narasimhulu… - Soft Computing, 2023 - Springer
For social applications, virtual robotics technologies require the Internet of Things (IoT) and
cloud services. IoT based-speaker identification is required for virtual social robotics to …

A multi-class skin cancer classification through deep learning

NK Sripada, B Mohammed Ismail - Evolutionary Computing and Mobile …, 2022 - Springer
Skin infection is one of the most frequent diseases all over the world, and persons under the
age of 40–60 have a lot of skin problems. This paper shows how to use a very efficient deep …