Retracted article: a multimodal biometric authentication scheme based on feature fusion for improving security in cloud environment
T Joseph, SA Kalaiselvan, SU Aswathy… - Journal of Ambient …, 2021 - Springer
In recent days, due to the advent of advanced technologies such as cloud computing,
accessing data can be done anywhere at any time. Meanwhile, ensuring the data security is …
accessing data can be done anywhere at any time. Meanwhile, ensuring the data security is …
Data wrangling and data leakage in machine learning for healthcare
B JM - 2018 - papers.ssrn.com
Nowadays, healthcare and life sciences overall have produced massive amounts of real-
time data by enterprise resource planning (ERP). These large of amount data is a difficult …
time data by enterprise resource planning (ERP). These large of amount data is a difficult …
An analysis on barrier coverage in wireless sensor networks
Barrier Coverage assumes a basic career in Wireless Sensor Network (WSN). Research on
boundary augmentation has for the most part centered around the lifetime expansion and …
boundary augmentation has for the most part centered around the lifetime expansion and …
Case studies in amalgamation of deep learning and big data
Deep learning is now more popular research domain in machine learning and pattern
recognition in the world. It is widely success in the far-reaching area of applications such as …
recognition in the world. It is widely success in the far-reaching area of applications such as …
Machine learning based classification of cervical cancer using k-nearest neighbour, random forest and multilayer perceptron algorithms
S Basheer, S Mariyam Aysha Bivi… - Journal of …, 2019 - ingentaconnect.com
Cervical cancer is the second most common type of cancer that is found in the women
worldwide. Generally, cancer caused due to irregular growth of cells in a particular area that …
worldwide. Generally, cancer caused due to irregular growth of cells in a particular area that …
[PDF][PDF] Big Data deep learning in healthcare for electronic health records
J Balajee, R Sethumadahavi - International Scientific Research …, 2017 - researchgate.net
Deep learning is now more popular research domain in machine learning and pattern
recognition in the world. Deep learning is widely success in the in-depth of applications …
recognition in the world. Deep learning is widely success in the in-depth of applications …
Survey on Face Recognition with pre filtering Techniques and their comparative study
S Pavithra, R Ramesh… - 2020 6th International …, 2020 - ieeexplore.ieee.org
Face is a very crucial aspect with respect to recognizing as it stands out as a unique feature.
The normal human has distinct facial features that can be mapped and remembered …
The normal human has distinct facial features that can be mapped and remembered …
Analyzing financial data and mutual funds recommendation by using big data analytics
N Sampath, J Sadhasivam, R Raj Kumar… - Journal of …, 2019 - ingentaconnect.com
Analyze the monetary information for making expectation in common supports by utilizing
huge information examination and prescribe the client interest in different class shared …
huge information examination and prescribe the client interest in different class shared …
[PDF][PDF] Using Image Processing and Big Data Mining Methods jointly to Retrieve Images
CA Reddy, B Nirmala, G Vidyulatha, TC Singh - ijcsejournal.org
A novel method in the realm of image processing is mining. The process of extracting latent
data from photos, combining image data, and identifying excess patterns that are hidden in …
data from photos, combining image data, and identifying excess patterns that are hidden in …
[PDF][PDF] A Review on High Performance Cloud Computing in Big Data
MB Fadnavis - 2020 - academia.edu
Cloud computing is the product of the traditional computer technology and network
technology development integration. Such as grid computing, distributed computing, parallel …
technology development integration. Such as grid computing, distributed computing, parallel …