Abstract: Cancer is a class of diseases characterized by out-of-control cell growth and pancreatic cancer (PC) occurs when this uncontrolled cell growth begins in the pancreas. If it is malignant and not detected at early stages, it may cause death. The aim of this paper is to present artificial neural network in pancreatic disease diagnosis based on a set of symptoms. The real procedure of medical diagnosis which usually is employed by physicians was analyzed and converted to a machine implementable format. This paper presents an approach to detect the various stages of pancreatic cancer affected patients. Outcome suggests the effectiveness of using neural network over manual detection procedure

• Publication Date: 28-Apr-2013
• DOI: 10.15224/978-981-07-6260-5-14
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Abstract: This era of Information Technology and Computing has provided us with various emerging trends in every field of our life. One of its blessings is in the field of cyber world which allows easy communication and transfer of information and data.As cyber demands increases, related issues also come under play like hacking, cyber wars, etc. As the communicated data is very crucial, everyone tries to keep it secure or transfer it securely. Some security techniques use human body characteristics known as biometrics. In this paper we have tried to highlight the various methods of reducing cyber threats by using the emerging technology of biometric systems. We have further described its classification and usage as a multimodal biometric system for a secure cyber world.

• Publication Date: 28-Apr-2013
• DOI: 10.15224/978-981-07-6260-5-15
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