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All Journal International Journal of Electrical and Computer Engineering Perfecting a Video Game with Game Metrics
J. Rethna Virgil Jeny
Vignan Institute of Technology and Science
Computer Science & IT Electrical & Electronics Engineering

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An effective identification of crop diseases using faster region based convolutional neural network and expert systems P. Chandana; G. S. Pradeep Ghantasala; J. Rethna Virgil Jeny; Kaushik Sekaran; Deepika N.; Yunyoung Nam; Seifedine Kadry
International Journal of Electrical and Computer Engineering (IJECE) Vol 10, No 6: December 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v10i6.pp6531-6540

Abstract

The majority of research Study is moving towards cognitive computing, ubiquitous computing, internet of things (IoT) which focus on some of the real time applications like smart cities, smart agriculture, wearable smart devices. The objective of the research in this paper is to integrate the image processing strategies to the smart agriculture techniques to help the farmers to use the latest innovations of technology in order to resolve the issues of crops like infections or diseases to their crops which may be due to bugs or due to climatic conditions or may be due to soil consistency. As IoT is playing a crucial role in smart agriculture, the concept of infection recognition using object recognition the image processing strategy can help out the farmers greatly without making them to learn much about the technology and also helps them to sort out the issues with respect to crop. In this paper, an attempt of integrating kissan application with expert systems and image processing is made in order to help the farmers to have an immediate solution for the problem identified in a crop.
Design of optimal search engine using text summarization through artificial intelligence techniques Kaushik Sekaran; P. Chandana; J. Rethna Virgil Jeny; Maytham N. Meqdad; Seifedine Kadry
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 18, No 3: June 2020
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v18i3.14028

Abstract

Natural language processing is the trending topic in the latest research areas, which allows the developers to create the human-computer interactions to come into existence. The natural language processing is an integration of artificial intelligence, computer science and computer linguistics. The research towards natural Language Processing is focused on creating innovations towards creating the devices or machines which operates basing on the single command of a human. It allows various Bot creations to innovate the instructions from the mobile devices to control the physical devices by allowing the speech-tagging. In our paper, we design a search engine which not only displays the data according to user query but also performs the detailed display of the content or topic user is interested for using the summarization concept. We find the designed search engine is having optimal response time for the user queries by analyzing with number of transactions as inputs. Also, the result findings in the performance analysis show that the text summarization method has been an efficient way for improving the response time in the search engine optimizations.
Co-Authors Deepika N. G. S. Pradeep Ghantasala Kaushik Sekaran Maytham N. Meqdad P. Chandana Seifedine Kadry Seifedine Kadry Yunyoung Nam