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Study and Implementation of Data Mining in Urban Gardening
Published 2019“…The system is essentially a three-part development, utilising Android, Java Servlets, and Arduino platforms to create an optimised and automated urban-gardening system. …”
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Real time monitoring and controlling using Petri net algorithm for batch process plant / Mohamad Shaiful Osman
Published 2010“…This thesis searches the basic concepts and uses of the classical method Petri net algorithm in SCADA system to control and monitoring the process plant. …”
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AntNet: a robust routing algorithm for data networks
Published 2004“…AntNet is an innovative algorithm that may be used for data networks. …”
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Cryptanalysis of elliptic curve scalar multiplication algorithms
Published 2025“…This project explores scalar multiplication algorithms in Elliptic Curve Cryptography, focusing on the binary method and elliptic net method applied in Elliptic Curve Diffie-Hellman and Elliptic Curve Digital Signature Algorithm. …”
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Cryptanalysis of elliptic curve scalar multiplication algorithms
Published 2025“…This project explores scalar multiplication algorithms in Elliptic Curve Cryptography, focusing on the binary method and elliptic net method applied in Elliptic Curve Diffie-Hellman and Elliptic Curve Digital Signature Algorithm. …”
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6
Cryptanalysis of elliptic curve scalar multiplication algorithms
Published 2025“…This project explores scalar multiplication algorithms in Elliptic Curve Cryptography, focusing on the binary method and elliptic net method applied in Elliptic Curve Diffie-Hellman and Elliptic Curve Digital Signature Algorithm. …”
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The Determination of Pile Capacity Using Artificial Neural-net: An Optimization Approach
Published 2001“…Using the developed algorithm, the safety measures involved are such as reliability index and the probability of failure; instead of only factor of safety if conventional deterministic approach is used. …”
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An Enhanced Simulated Annealing Routing Algorithm for Semi-Diagonal Torus Network
Published 2017“…While this algorithm guarantees to find the shortest path for each single net, if it exists, each routed net will form obstacle for later paths. …”
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Web-based expert system for material selection of natural fiber- reinforced polymer composites
Published 2015“…Finally, the developed expert system was deployed over the internet with central interactive interface from the server as a web-based application. As Java is platform independent and easy to be deployed in web based application and accessible through the World Wide Web (www), this expert system can be one stop application for materials selection.…”
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10
Fast clock tree generation using exact zero skew clock routing algorithm
Published 2009“…A few Perl scripts and a new visual basic based routing tool have been developed to support the methodology implementation. The routing algorithm used in this tool is based on the Exact Zero Skew Routing Algorithm. …”
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Effects of Different Pre-Trained Deep Learning Algorithms as Feature Extractor in Tomato Plant Health Classification
Published 2023“…Five different pre-trained deep learning algorithms (i.e. Resnet-50, AlexNet, GoogleNet, VGG16, and VGG19) were studied and compared. …”
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Implementing artificial neural networks and genetic algorithms to solve modeling and optimisation of biogas production
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An experiment on the performance of shortest path algorithm
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Hand blood vessels pattern recognition
Published 2023“…This study aimed to address the problem of difficult venous access by proposing a vein feature extraction algorithm for the forearm using transfer learning on a U-net model with EfficientNetB3 as the backbone. …”
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An improved algorithm in test case generation from UML activity diagram using activity path
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Implementing artificial neural networks and genetic algorithms to solve modeling and optimisation of biogas production
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Implementing artificial neural networks and genetic algorithms to solve modeling and optimisation of blogas production
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Mobile machine vision for railway surveillance system using deep learning algorithm
Published 2021“…This model can be implemented with Raspberry Pi to simulate the object detection algorithm virtually. …”
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