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IoT Python Final Year Project
A Convolutional Neural Network Model for Wheat Crop Disease Prediction
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A Location-Wise Predetermined Deployment for Optimizing Lifetime in Visual Sensor Networks
Low Rate DoS Attacks Detection Based on Network Multi fractal
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Approximate Radix-8 Booth Multipliers for Low-Power and High-Performance Operation
Optimized Active Single Miller Capacitor Compensation With Inner Half Feed for ward Stage for Very High Load Three Stage OTAs
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Adding Geospatial Data Provenance into SDI A Service Oriented Approach
Using Rule Ontology in Repeated RuleAcquisition from Similar Web Sites
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