Medical image prediction for diagnosis of breast cancer disease comparing the machine learning algorithms: SVM, KNN, logistic regression, random forest and …
P Dinesh, AS Vickram… - AIP Conference …, 2024 - pubs.aip.org
The study's primary objective is to compare the efficacy of the state-of-the-art SVM method
for image prediction with that of KNN, Logistic Regression, Random Forest, and Decision …
for image prediction with that of KNN, Logistic Regression, Random Forest, and Decision …
Comparison of feature extraction technique for segmentation in Human Iris recognition under uncontrolled environment using CNN algorithm with SVM classifier
B Karthik, G Ramkumar - ECS Transactions, 2022 - iopscience.iop.org
The main aim of this study is to compare the radical segmentation of human iris using two
different machine learning algorithms in an uncontrolled environment image dataset. Images …
different machine learning algorithms in an uncontrolled environment image dataset. Images …
Assessment of orthodontic treatment needs in older adults: A retrospective study
B Nivethigaa, V Rakshagan - ECS Transactions, 2022 - iopscience.iop.org
Orthodontic treatment is a way of aligning teeth, to improve the aesthetics or function. It can
help in looking after the long term health of your teeth, gums and jaw joints, by spreading the …
help in looking after the long term health of your teeth, gums and jaw joints, by spreading the …
Accuracy improvement in disease identification of mango leaf using CNN algorithm compared with fuzzy algorithm
R Puviarasi - ECS transactions, 2022 - iopscience.iop.org
Aim: The main aim of this work is to measure the accuracy in the identification of mango leaf
diseases using Convolutional Neural Networks (CNN) compared with Fuzzy Logic. Materials …
diseases using Convolutional Neural Networks (CNN) compared with Fuzzy Logic. Materials …
A Novel Prediction of Sales and Purchase Forecasting for Festival Season of Hypermarkets with Customer Dataset Using Apriori Algorithm Instead of FP-Growth …
To predict the novel and to Forecast sales for festival season Hypermarkets. A total of 484
samples were collected from market datasets available in kaggle. For this two algorithms …
samples were collected from market datasets available in kaggle. For this two algorithms …
Design and development of decorrelation stretch technique for enhancing the quality of satellite images with improved MSE and UIQI in comparison with wiener filter
R Nanmaran, SH Priya - ECS Transactions, 2022 - iopscience.iop.org
Aim: Image enhancement is the process of increasing the quality of an image by enhancing
certain features of an image and the resultant image is more suitable than the input image …
certain features of an image and the resultant image is more suitable than the input image …
Development of Wavelet Transform-Based Image Fusion Technique with Improved PSNR for CT and PET Images in Comparison with Discrete Cosine Transform …
R Nanmaran, B Luminasree - ECS Transactions, 2022 - iopscience.iop.org
The image fusion process is characterised as gathering all relevant data from multiple
images and combining it into a smaller number of images, typically only one. The aim of …
images and combining it into a smaller number of images, typically only one. The aim of …
Linear regression algorithm based price prediction of car and accuracy comparison with support vector machine algorithm
R Siva, M Adimoolam - ECS Transactions, 2022 - iopscience.iop.org
Aim: The aim of the study is to use Linear Regression (LR) algorithm based price prediction
of car price and accuracy comparison with support vector machine (SVM) classification …
of car price and accuracy comparison with support vector machine (SVM) classification …
Analysis of accuracy in anomaly detection of intrusion detection system using Naive Bayes algorithm compared over Gaussian model
PV Pramila, M Gayathri - ECS Transactions, 2022 - iopscience.iop.org
Aim: To design a best intrusion model that monitors the malicious activities over the
network.: Intrusion Detection System (IDS) attempts to identify and notify the activities of …
network.: Intrusion Detection System (IDS) attempts to identify and notify the activities of …
Prediction of temperature for next three days using decision tree algorithm by comparing sliding window algorithm for better accuracy
MS Saravanan - ECS Transactions, 2022 - iopscience.iop.org
Aim: The aim of this study is to predict the temperature for the next three days using a
machine learning algorithm and the objective of this research is to improve the accuracy of …
machine learning algorithm and the objective of this research is to improve the accuracy of …