Search Results - (( web application bat algorithm ) OR ( phone application during algorithm ))*
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Task scheduling in cloud computing environment using hybrid genetic algorithm and bat algorithm
Published 2022“…This research will conduct comparison of hybrid Genetic Algorithm and Bat Algorithm (GA-BA) with Genetic Algorithm (GA) and Bat Algorithm (BA). …”
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A novel peer-to-peer SMS security solution using a hybrid technique of NTRU and AES-Rijndael
Published 2010“…Short message service (SMS) is a very popular and easy to use communications technology for mobile phone devices. Originally, this service was not designed to transmit secured data, so the security was not an important issue during its design. …”
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Durian Farm Threats Identification through Convolution Neural Networks and Multimedia Mobile Development
Published 2023“…The application implements a deep learning algorithm of Convolutional Neural Network (CNN)-YOLO3in order to receive the best output results in identifying the different datasets of durian farm threats. …”
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Durian Farm Threats Identification through Convolution Neural Networks and Multimedia Mobile Development
“…The application implements a deep learning algorithm of Convolutional Neural Network (CNN)-YOLO3in order to receive the best output results in identifying the different datasets of durian farm threats. …”
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Durian Farm Threats Identification through Convolution Neural Networks and Multimedia Mobile Development
Published 2023“…The application implements a deep learning algorithm of Convolutional Neural Network (CNN)-YOLO3in order to receive the best output results in identifying the different datasets of durian farm threats. …”
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Durian Farm Threats Identification through Convolution Neural Networks and Multimedia Mobile Development
Published 2023“…The application implements a deep learning algorithm of Convolutional Neural Network (CNN)-YOLO3in order to receive the best output results in identifying the different datasets of durian farm threats. …”
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Durian Farm Threats Identification through Convolution Neural Networks and Multimedia Mobile Development
Published 2023“…The application implements a deep learning algorithm of Convolutional Neural Network (CNN)-YOLO3in order to receive the best output results in identifying the different datasets of durian farm threats. …”
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Durian Farm Threats Identification through Convolution Neural Networks and Multimedia Mobile Development
Published 2023“…The application implements a deep learning algorithm of Convolutional Neural Network (CNN)-YOLO3in order to receive the best output results in identifying the different datasets of durian farm threats. …”
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Durian Farm Threats Identification through Convolution Neural Networks and Multimedia Mobile Development
Published 2023“…The application implements a deep learning algorithm of Convolutional Neural Network (CNN)-YOLO3in order to receive the best output results in identifying the different datasets of durian farm threats. …”
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Durian Farm Threats Identification through Convolution Neural Networks and Multimedia Mobile Development
Published 2023“…The application implements a deep learning algorithm of Convolutional Neural Network (CNN)-YOLO3in order to receive the best output results in identifying the different datasets of durian farm threats. …”
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Durian Farm Threats Identification through Convolution Neural Networks and Multimedia Mobile Development
Published 2023“…The application implements a deep learning algorithm of Convolutional Neural Network (CNN)-YOLO3in order to receive the best output results in identifying the different datasets of durian farm threats. …”
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Enhancement Of Aodv Routing Protocol In Masnets
Published 2015“…Therefore, in order to enhance the performance of AODV in MASNETs, the new routing algorithm based on the estimated distance is proposed to replace the hop count for the selection of next node during the packet transmission. …”
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Proceeding -
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CAPWAP protocol and context transfer to support seamless handover
Published 2013“…An emerging technology IEEE 802.11 Wireless Local Area Network (WLAN) has brought users to have trendy gadgets like smart phones, tablets and laptops. These applications require a fast and efficient handover that guarantee a service of security and Quality of Service (QoS). …”
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Knowledge Discovery Of Noise Level In Lecture Rooms
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Incremental learning for large-scale stream data and its application to cybersecurity
Published 2015“…As many human currently depend on technologies to assist with daily tasks, there are more and more applications which have been developed to be fit in one small gadget such as smart phone and tablet. …”
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