Classification of mammogram for early detection of breast cancer using SVM classifier and Hough transform
Breast cancer is one of the significant health problems in the world. If these abnormalities in
breast cancer are detected early there is a maximum chance for recovery. For this early …
breast cancer are detected early there is a maximum chance for recovery. For this early …
[HTML][HTML] Detection of pneumonia infection in lungs from chest X-ray images using deep convolutional neural network and content-based image retrieval techniques
T Rajasenbagam, S Jeyanthi, JA Pandian - Journal of Ambient Intelligence …, 2021 - Springer
In this research, A Deep Convolutional Neural Network was proposed to detect Pneumonia
infection in the lung using Chest X-ray images. The proposed Deep CNN models were …
infection in the lung using Chest X-ray images. The proposed Deep CNN models were …
Minimization of test time in system on chip using artificial intelligence-based test scheduling techniques
G Chandrasekaran, S Periyasamy… - Neural Computing and …, 2020 - Springer
Abstract System on chip (SoC) is a microchip which integrates many semiconductor devices
into a single chip. The complete system that is integrated with many components and circuits …
into a single chip. The complete system that is integrated with many components and circuits …
An enhancement of deep learning algorithm for brain tumor segmentation using kernel based CNN with M-SVM
R Thillaikkarasi, S Saravanan - Journal of medical systems, 2019 - Springer
The brain tumor can be created by uncontrollable increase of abnormal cells in tissue of
brain and it has two kinds of tumors: one is benign and another one is malignant tumor. The …
brain and it has two kinds of tumors: one is benign and another one is malignant tumor. The …
Prediction of lung cancer using machine learning classifier
R Patra - Computing Science, Communication and Security: First …, 2020 - Springer
Lung cancer generally occurs in both male and female due to uncontrollable growth of cells
in the lungs. This causes a serious breathing problem in both inhale and exhale part of …
in the lungs. This causes a serious breathing problem in both inhale and exhale part of …
RETRACTED ARTICLE: An improved privacy-preserving data mining technique using singular value decomposition with three-dimensional rotation data perturbation
N Kousika, K Premalatha - The Journal of Supercomputing, 2021 - Springer
Recent advancements in data mining have given rise to a new channel of research, coined
as privacy-preserving data mining (PPDM). PPDM technology allows us to derive useful …
as privacy-preserving data mining (PPDM). PPDM technology allows us to derive useful …
Routing using reinforcement learning in vehicular ad hoc networks
M Saravanan, P Ganeshkumar - Computational Intelligence, 2020 - Wiley Online Library
In vehicular ad hoc networks (VANETs), the frequent change in vehicle mobility creates
dynamic changes in communication link and topology of the network. Hence, the key …
dynamic changes in communication link and topology of the network. Hence, the key …
RETRACTED ARTICLE: Dual layer security of data using LSB inversion image steganography with elliptic curve cryptography encryption algorithm
R Shanthakumari, S Malliga - Multimedia Tools and Applications, 2020 - Springer
The steganography is a graceful tactic to convey the confidential information to an
authorized recipient with the most reliable safety measure which leads to avoiding the …
authorized recipient with the most reliable safety measure which leads to avoiding the …
An enhancement of computer aided approach for colon cancer detection in WCE images using ROI based color histogram and SVM2
P Shanmuga Sundaram, N Santhiyakumari - Journal of medical systems, 2019 - Springer
The colon cancer is formed by uncontrollable growth of abnormal cells in large intestine or
colon that can affect both men and women and it is third cancer disease in the world. At …
colon that can affect both men and women and it is third cancer disease in the world. At …
Improved fuzzy weighted‐iterative association rule based ontology postprocessing in data mining for query recommendation applications
G Sumathi, J Akilandeswari - Computational Intelligence, 2020 - Wiley Online Library
The usage of association rules is playing a vital role in the field of knowledge data discovery.
Numerous rules have to be processed and plot based on the ranges on the schema. The …
Numerous rules have to be processed and plot based on the ranges on the schema. The …