Volume 14 Issue 3  ·  ISSN: 2319-4863  ·  Monthly Publication editor@ijdacr.com
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VOLUME 8 ISSUE 02 SEPTEMBER 2019

Articles published in this issue. All content is open access.

1

A Novel Approach of Relay Selection using AF & DF Relaying Techniques

Rambhau Gaikwad, Abhishek Verma

The paper looks at the performance comparison of different detection schemes and also proposes how to group users at the relay to ensure mutual benefit for the cooperating users. This research work proposes a framework which shows single and multiple relay selection using amplify & forward and d...

2

Sentiment Analysis on Twitter Data using SVM Classifier

Kanak Jagwani, Ishi Raghuvanshi, Janhvi Sharma

Analyzing the large volumes of data generated in social networks on public opinion about different topics can result in valuable discoveries. These activities are expensive to perform manually, they require many human resources and time. Sentiment analysis systems and data mining algorithms have pro...

3

Energy Management in Wireless Sensor Networks using M-SEP and LEACH

Shreya Jain, Sandeep Veerwani

Thanks to the great steps taken in recent years in technological development, and in particular microelectronics and wireless communication techniques, small, networked and inexpensive communicating sensors are increasingly being used in industrial applications and applications, observation of the e...

4

A Novel Mathematical Model for Image Retrieval

Anil Mishra, Tanmay Kasbe

The paper addresses the problem of access to databases based on images in indexes calculated from the content of the image itself, known as Content-Based Image Retrieval (CBIR). Perform a review of the state of the art in this topic. With the help of colour, texture and shape features different set ...

5

Lung Cancer Image Classification system using Random Forest Classifier

Sudeep Gujar, Laal Singh Chauhan, Nisha Kumawat

Lung cancer is a real public health problem. Indeed, it is the leading cause of cancer mortality in the world, survival at 5 years is only 15% and this is largely due to late diagnosis and high metastatic power. Improving the management of this type of cancer, therefore, implies better knowledge of ...

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