Breast cancer detection using machine learning algorithms
S Sharma, A Aggarwal… - … and mechanical systems …, 2018 - ieeexplore.ieee.org
The most frequently occurring cancer among Indian women is breast cancer. There is a
chance of fifty percent for fatality in a case as one of two women diagnosed with breast …
chance of fifty percent for fatality in a case as one of two women diagnosed with breast …
[PDF][PDF] Handling of man-in-the-middle attack in wsn through intrusion detection system
The wireless sensor network (WSN) is one the most convenient and easily adoptable ad-hoc
technique for data transmission. With many flexibilities of WSN there are many loop holes …
technique for data transmission. With many flexibilities of WSN there are many loop holes …
Movie recommendation system using machine learning
F Furtado, A Singh - International journal of research in industrial …, 2020 - riejournal.com
Nowadays, the recommendation system has made finding the things easy that we need.
Movie recommendation systems aim at helping movie enthusiasts by suggesting what movie …
Movie recommendation systems aim at helping movie enthusiasts by suggesting what movie …
[PDF][PDF] A comparative analysis of clustering protocols of wireless sensor network
The study aims to understand the various types of fault-tolerant clustering algorithms from
the existing literature. Clustering is one of the proven models for efficient energy …
the existing literature. Clustering is one of the proven models for efficient energy …
Introduction to plithogenic subgroup
This chapter gives some essential scopes to study some plithogenic algebraic structures.
Here the notion of plithogenic subgroup has been introduced and explored. It has been …
Here the notion of plithogenic subgroup has been introduced and explored. It has been …
A study of neutrosophic shortest path problem
Shortest path problem (SPP) is an important and well-known combinatorial optimization
problem in graph theory. Uncertainty exists almost in every real-life application of SPP. The …
problem in graph theory. Uncertainty exists almost in every real-life application of SPP. The …
Interval-valued neutrosophic subgroup based on interval-valued triple t-norm
Presently, interval-valued neutrosophic set theory has become an important research topic.
It is widely used in various pure as well as applied fields. This chapter will provide some …
It is widely used in various pure as well as applied fields. This chapter will provide some …
[PDF][PDF] An efficient energy saving scheme through sorting technique for wireless sensor network
The role of a sensor is to sense and gather the information from both remote and domestic
zones. Wireless sensor network (WSN) is still emerging to exploit its uses in new extents …
zones. Wireless sensor network (WSN) is still emerging to exploit its uses in new extents …
Comparative analysis on YOLO object detection with OpenCV
H Deshpande, A Singh, H Herunde - International journal of research …, 2020 - riejournal.com
Computer Vision is a field of study that helps to develop techniques to identify images and
displays. It has various features like image recognition, object detection and image creation …
displays. It has various features like image recognition, object detection and image creation …
[图书][B] Soft subring theory under interval-valued neutrosophic environment
The primary goal of this article is to establish and investigate the idea of interval-valued
neutrosophic soft subring. Again, we have introduced function under interval-valued …
neutrosophic soft subring. Again, we have introduced function under interval-valued …