Credit card fraud detection using machine learning
D Tanouz, RR Subramanian, D Eswar… - … and Control Systems …, 2021 - ieeexplore.ieee.org
Credit card is the commonly used payment mode in the recent years. As the technology is
develo**, the number of fraud cases are also increasing and finally poses the need to …
develo**, the number of fraud cases are also increasing and finally poses the need to …
Skin cancer classification using Convolutional neural networks
RR Subramanian, D Achuth, PS Kumar… - … on Cloud Computing …, 2021 - ieeexplore.ieee.org
There is a necessary need for early detection of skin cancer and can prevent further spread
in some cases of skin cancers, such as melanoma and focal cell carcinoma. Anyhow there …
in some cases of skin cancers, such as melanoma and focal cell carcinoma. Anyhow there …
[PDF][PDF] Lung cancer prediction using deep learning framework
RR Subramanian, RN Mourya, VPT Reddy… - … Journal of Control …, 2020 - researchgate.net
Lung carcinoma also known as lung cancer is one of the dangerous diseases caused all
over the world. It is caused due to the reluctant increase of cells in the lung tissues. It is …
over the world. It is caused due to the reluctant increase of cells in the lung tissues. It is …
Design and evaluation of a deep learning algorithm for emotion recognition
RR Subramanian, CS Niharika, DU Rani… - … and Control Systems …, 2021 - ieeexplore.ieee.org
Facial emotion recognition is one of the most interesting research areas where many
researchers are actively participating over the past few decades. This paper attempts to …
researchers are actively participating over the past few decades. This paper attempts to …
PSO based fuzzy-genetic optimization technique for face recognition
RR Subramanian, H Mohan, AM Jenny… - … on Cloud Computing …, 2021 - ieeexplore.ieee.org
One of the trending research topics over the world is Face Recognition. There are several
methods available to recognize the human faces. Yet new methods are proposed to make …
methods available to recognize the human faces. Yet new methods are proposed to make …
Audio emotion recognition by deep neural networks and machine learning algorithms
RR Subramanian, Y Sireesha… - … on Advancements in …, 2021 - ieeexplore.ieee.org
One of the most stimulating tasks is speech emotion recognition. In our work, to make use of
sound files as input for machine learning algorithm (SVM) and deep learning algorithm …
sound files as input for machine learning algorithm (SVM) and deep learning algorithm …
Forensic verification of handwritten documents using secure multi party computation
RR Subramanian, H Mohan… - … on Advancements in …, 2021 - ieeexplore.ieee.org
The recent advance in the use of image processing techniques has benefitted many areas
including forensic and digital verification in cybercrime detection. Image processing …
including forensic and digital verification in cybercrime detection. Image processing …
Face recognition using principal component analysis
Face recognition is one of the finest method or field to use for better accuracy and also
security. Face is comprising of multidimensional structure with complexity and for that …
security. Face is comprising of multidimensional structure with complexity and for that …
Design and evaluation of a deep CNN algorithm for detecting farm weeds
B Pattanaik, A Malibari… - International …, 2023 - inderscienceonline.com
Weeds are unwanted plants that grow with crops and usually removed by spraying
herbicides or by manual labour. Herbicides being sprayed mostly do not reach their target …
herbicides or by manual labour. Herbicides being sprayed mostly do not reach their target …
LeafNet: Design and Evaluation of a Deep CNN Model for Recognition of Diseases in Plant Leaves
RR Subramanian, NJS Devi, D Tulasi, BN Sri… - … of Computer Vision and …, 2024 - Springer
Leaf disease prediction is an important problem in agriculture because it impacts crop yield
and quality. It is feasible to reliably predict leaf detection uses in machine learning and …
and quality. It is feasible to reliably predict leaf detection uses in machine learning and …