Intelligent Computing and Applications: Proceedings of the by Durbadal Mandal, Rajib Kar, Swagatam Das, Bijaya Ketan

By Durbadal Mandal, Rajib Kar, Swagatam Das, Bijaya Ketan Panigrahi

The suggestion of the first overseas convention on clever Computing and functions (ICICA 2014) is to deliver the examine Engineers, Scientists, Industrialists, students and scholars jointly from in and world wide to give the on-going examine actions and accordingly to motivate examine interactions among universities and industries. The convention offers possibilities for the delegates to replace new principles, functions and reviews, to set up study kin and to discover international companions for destiny collaboration. The complaints covers most modern progresses within the state-of-the-art examine on a variety of learn components of photograph, Language Processing, desktop imaginative and prescient and trend reputation, computing device studying, facts Mining and Computational lifestyles Sciences, administration of information together with huge facts and Analytics, allotted and cellular platforms together with Grid and Cloud infrastructure, details protection and privateness, VLSI, digital Circuits, energy structures, Antenna, Computational fluid dynamics & warmth move, clever production, sign Processing, clever Computing, tender Computing, Bio-informatics, Bio Computing, internet safeguard, privateness and E-Commerce, E-governance, provider Orient structure, info Engineering, Open platforms, Optimization, Communications, shrewdpermanent instant and sensor Networks, shrewdpermanent Antennae, Networking and data defense, computer studying, cellular Computing and functions, business Automation and MES, Cloud Computing, eco-friendly IT, IT for Rural Engineering, enterprise Computing, company Intelligence, ICT for schooling for fixing difficult difficulties, and eventually to create information approximately those domain names to a much wider viewers of practitioners.

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Comput. 28(6), 902–913 (2010) 14. : A rotation and location invariant face identification and localization with or without occlusion using modified RBFN. In: IEEE 2nd International Conference on Image Information Processing (ICIIP-2013), pp. 533–538 Analysing the Impact of Human Behaviour over Machine Learning Shailendra Singh Yadav and Bhupendra Verma Abstract Influenced by the human learning, neural network promises to provide computer science discipline a breakthrough that rivals anything it has yet witnessed.

If any of the 4 outputs of the network is active high, then the corresponding finger print is identified or recognized. If the test fingerprints are different angular fingerprints other than (0°, 90°, and 180°), then we calculate the angle of rotation and rotate that corresponding fingerprint by this angle and then fed this rotated fingerprint to the previously trained BP network. In this case also, if any of the 4 outputs of the network is active high, then the corresponding finger print is identified or recognized (refer to Figs.

Use of kid’s handwriting samples as training samples has been used to demonstrate its effect on neural network performance as it has maximum variance that helps neural network to exhaustively explore input space. The effect of training samples obtained from kid’s handwriting has been analysed on handwritten character identification and compared with the training samples obtained from young subjects. From the study, it is concluded that neural networks trained by kid’s writing data sample are able to recognize young subject writing test sample inputs with an increased average recognition rate of 13 % as compared to neural networks trained from young subject writing data.

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