Comparison of Accuracy and Sensitivity in Liver Cancer Segmentation of Magnetic Resonance Images using Convolutional Neural Network in Comparison with …
The main aim of this work is to detect liver cancer by segmentation of magnetic resonance
images using Convolutional Neural Network in comparison of accuracy and sensitivity with …
images using Convolutional Neural Network in comparison of accuracy and sensitivity with …
Detection of forest fire using support vector machine in comparison with random forest to measure accuracy, precision and recall
I Susmitha, V Sivasamy - 2022 14th International Conference …, 2022 - ieeexplore.ieee.org
Machine learning techniques are widely used in forest fire detection due to its accurate
results in detection. The main objective of this proposed work is to evaluate the performance …
results in detection. The main objective of this proposed work is to evaluate the performance …
Detection and classification of Melanoma image of skin cancer based on Convolutional Neural Network and comparison with Coactive Neuro Fuzzy Inference System
M Muniteja, MKM Bee, V Suresh - … International Conference on …, 2022 - ieeexplore.ieee.org
The main aim of the work is to improve the accuracy for the skin cancer detection that leads
to identification of skin disease in a preclinical stage using Convolutional Neural Network …
to identification of skin disease in a preclinical stage using Convolutional Neural Network …
Prediction of Heart Disease Using K-Nearest Neighbour Algorithm in Comparison with Support Vector Machine Algorithm
DD Saikumar, IM Arumugam - 2022 14th International …, 2022 - ieeexplore.ieee.org
To classify the heart diseases according to the categorial identification by using the
symptoms and the data of the Patient. Procedures and Materials: To increase the accuracy …
symptoms and the data of the Patient. Procedures and Materials: To increase the accuracy …
Gain enhancement in double U-shaped slot multiple input multiple output antenna comparing with single U-shaped slot antenna for ultra-wideband applications
GM Kumari, P Kalyanasundaram - AIP Conference Proceedings, 2023 - pubs.aip.org
The main goal of this project is to develop a double U-shaped slot MIMO antenna utilizing a
FR4 substrate in the frequency range of 3 GHz to 12 GHz that has a higher gain (dB) than a …
FR4 substrate in the frequency range of 3 GHz to 12 GHz that has a higher gain (dB) than a …
Novel Hybrid One-Class RNN Model Using Adversarial Data Augmentation for Anomaly Detection in Systems Operations
N Deepa - 2024 10th International Conference on Advanced …, 2024 - ieeexplore.ieee.org
The industries are expanding their infrastructure landscape with advanced processors and
supercomputers. It is also important to maintain the systems operations robustly and …
supercomputers. It is also important to maintain the systems operations robustly and …
A novel analytical model for assessing mean response time in performance evaluation of cloud server farms using hidden Markov model to improve the accuracy and …
S Rajan, V Parthipan - AIP Conference Proceedings, 2023 - pubs.aip.org
The aim is to compare the mean response time in performance evaluation of novel cloud
server farms using the Hidden Markov model and comparing with the Support Vector …
server farms using the Hidden Markov model and comparing with the Support Vector …
Comparison of improved support vector machine and multilayer perceptron for the prediction of music genre with improved classification accuracy
K Rajyalakshmi, M Gunasekaran - AIP Conference Proceedings, 2023 - pubs.aip.org
The capacity of Improved Support Vector Machine and Multilayer Perceptron to
automatically identify song snippets into various musical genres is compared in this study …
automatically identify song snippets into various musical genres is compared in this study …
Classification of spam detection using random forest algorithm over naive bayes algorithm based on accuracy
KS Reddy, A Gayathri - AIP Conference Proceedings, 2023 - pubs.aip.org
To predict the accuracy percentage of Short Message Services (SMS) spam detection using
machine learning classifiers. Two ensemble learning algorithms named random forest …
machine learning classifiers. Two ensemble learning algorithms named random forest …
Genetic ANN algorithm for skin cancer classification compared with MLP technic based on diagnosis accuracy
M Sunil Johnson, A Gayathri - AIP Conference Proceedings, 2023 - pubs.aip.org
The objective of the study is to detect the Skin Cancer positive patient with the help of Chest
Diagnostic image dataset by using machine learning based on Genetic Artificial Neural …
Diagnostic image dataset by using machine learning based on Genetic Artificial Neural …