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 …
Three-way multi-attribute decision-making with multiple decision makers in heterogeneous incomplete decision systems
J Wu, Z Huang, J Li, D Liu - Journal of Ambient Intelligence and …, 2023 - Springer
Three-way decision is a novel decision-making tool which can effectively reduce decision
risk. But it still has some limitations in practical applications. On the one hand, most of …
risk. But it still has some limitations in practical applications. On the one hand, most of …
Supply chain information system for product management control using rule based reasoning model
M Mufadhol, M Mustafid, S Suryono - AIP Conference Proceedings, 2023 - pubs.aip.org
Accuracy, fast and efficiency in performing digital transactions are needed especially during
the pandemic covid 19, this need to be done for persevering and improving customer …
the pandemic covid 19, this need to be done for persevering and improving customer …
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 …
Novel multi-view Takagi–Sugeno–Kang fuzzy system for epilepsy EEG detection
Y Li, P Qian, S Wang, S Wang - Journal of Ambient Intelligence and …, 2023 - Springer
Most intelligent algorithms used for recognizing epilepsy electroencephalogram (EEG) have
two major deficiencies. The one is the lack of interpretability and the other is unsatisfactory …
two major deficiencies. The one is the lack of interpretability and the other is unsatisfactory …
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 …
Flower pollination student psychology optimization-integrated context deep learning and probabilistic-based fusion for image inpainting
S Kingsley, T Sethukarasi - International Journal of Wavelets …, 2023 - World Scientific
Image inpainting is the process to fill missing pixels in the damaged image and this process
has drawn more attraction and gained active and expensive research topic in recent …
has drawn more attraction and gained active and expensive research topic in recent …
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 …
Handwritten character recognition using k-nearest neighbour algorithm and compare with feature extraction precision naive bayes algorithm
KS Kumar, M Adimoolam - AIP Conference Proceedings, 2023 - pubs.aip.org
The aim is to predict the handwritten characters using K-Nearest Neighbour (KNN) algorithm
and compare its feature extraction precision with Naive Bayes (NB) algorithm and …
and compare its feature extraction precision with Naive Bayes (NB) algorithm and …
A novel mechanism for computation and prediction of car price using support vector machine algorithm and predicted accuracy comparison with KNN algorithm
R Siva, M Adimoolam - AIP Conference Proceedings, 2023 - pubs.aip.org
The aim of the research is to use machine learning algorithms such as Support Vector
Machine (SVM) algorithm and K-Nearest Neighbour (KNN) classification algorithm to predict …
Machine (SVM) algorithm and K-Nearest Neighbour (KNN) classification algorithm to predict …