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Definition
An Artificial Neural Network (ANN) is an information-processing paradigm that is inspired by the way biological nervous systems, such as the brain, process information. The key element of this paradigm is the novel structure of the information processing system. It is composed of a large number of highly interconnected processing elements (neurons) working in unison to solve specific problems. ANNs, like people, learn by example. An ANN is configured for a specific application, such as pattern recognition or data classification, thr ....etc

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Title: OPTICAL SENSORS AND THEIR APPLICATIONS
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PRESENTED BY
GAURAV PURI


OPTICAL SENSORS AND THEIR APPLICATIONS
INTRODUCTION

 NEW REVOLUTION OF OPTICAL FIBER SENSORS
 IT IS A “SPIN-OFF” FROM OTHER OPTICAL TECHNOLOGIES
 SEEING THE POTENTIAL IN SENSING APPLICATIONS – DEVELOPED AS ITS OWN FIELD
 WHY OPTICAL SENSORS
 ELECTROMAGNETIC IMMUNITY
 ELECTRICAL ISOLATION
 COMPACT AND LIGHT
 BOTH POINT AND DISTRIBUTED CONFIGURATION
 WIDE DYNAMIC RANGE
 AMENABLE TO MULTIPLEXING
 WORKING PRINCIPLE
 SE ....etc

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Title: NANO SENSORS AND DETECTORS-THEIR APPLICATIONS full report
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NANO SENSORS AND DETECTORS-THEIR APPLICATIONS (NEMS)
ABSTRACT:
Nanotechnology is an extremely powerful emerging technology, which is expected to have a substantial impact on medical technology now and in the future. The potential impact ofnovel nanomedical applications on disease diagnosis, therapy, and prevention is foreseen to change health care in a fundamental way.
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Project Abstract:
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Title: NANOBIOSENSERS AND THEIR APPLICATIONS
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NANO BIO SENSERS AND THEIR APPLICATIONS

SUBMITTED TO: SUBMITTED BY
Dr.Navneet Batra Amandeep kaur

roll no:8032

abstract


Biosensor is generally defined as a measurement system that consist of a probe with a sensitive biological recognition element or bioreceptor ,a physicochemical detector component and a transducer in between

THREE COM ....etc

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Title: VLSI FOR NEURAL NETWORKS AND THEIR APPLICATIONS
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ABSTRACT :
Most of the students of Electronics Engineering are exposed to Integrated Circuits (IC's) at a very basic level, involving SSI (small scale integration) circuits like logic gates or MSI (medium scale integration) circuits like multiplexers, parity encoders etc. But there is a lot bigger world out there involving miniaturization at levels so great, that a micrometer and a microsecond are
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Title: VLSI FOR NEURAL NETWORKS AND THEIR APPLICATIONS
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ABSTRACT :
Most of the students of Electronics Engineering are exposed to Integrated Circuits (IC's) at a very basic level, involving SSI (small scale integration) circuits like logic gates or MSI (medium scale integration) circuits like multiplexers, parity encoders etc. But there is a lot bigger world out there involving miniaturization at levels so great, that a micrometer and a microsecond are
literally considered huge! This is the world of VLSI - Very Large Scale Integ ....etc

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