Search Results - (( phone application during algorithm ) OR ( based application use algorithm ))*

User authentication and encryption using Near Field Communication (NFC) technology / Muhammad Syahmi Azhar by Azhar, Muhammad Syahmi

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Exploratory research on the impact of Mysejahtera application on to the elderly based on user experience / Nur Aisya Roslan and Saiful Bahar Salim by Roslan, Nur Aisya, Salim, Saiful Bahar

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Content-based indexing of low resolution documents by Md Nor, Danial

“…This approach, which is signature-based are considered for fast and efficient matching to fulfil the needs of real-time applications. …”
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Design and implementation of a deep learning based hand gesture recognition system for Rehabilitation Internet-Of-Things (RIOT) environments using MediaPipe by Mohd Dhuzuki, Nurul Hanis, Zainuddin, Ahmad Anwar, Kamarul Zaman, Nur Anis Sofea, Ahmad Razmi, Alin Nur Maisarah, Kaitane, Wonderful Shammah, Ahmad Puzi, Asmarani, Johar, Mohd Naqiuddin, Yazid, Maslina, Mohd Nordin, Nor Azlin, Sidek, Shahrul Naim, Mohd Zaki, Hasan Firdaus

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Incremental learning for large-scale stream data and its application to cybersecurity by Ali, Siti Hajar Aminah

“…Thus, the users are able to make a phone call, send messages using variety of application such as Whatsapp and Line, send email, serving websites, accessing maps and handling some daily tasks via online using online banking, online shopping and online meetings via video conferences. …”
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A novel peer-to-peer SMS security solution using a hybrid technique of NTRU and AES-Rijndael by Al-Bakri, S.H., Mat Kiah, M.L.

“…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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Teleworking monitoring system using NILM and K-NN algorithms: a strategy for sustainable smart cities by Yang, Chuan Choong, Noh, Adriana, Ibrahim, Siti Noorjannah, Asnawi, Ani Liza, Mohamed Azmin, Nor Fadhillah

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A new superimposed topology for single phase wireless power transfer / Azman Ab Malik by Ab Malik, Azman

“…Size of coil had been explored by increasing the diameter size. 16cm and 160cm diamater size of coil had been explored using algorithm approach by Taguchi method. Result shows that by increasing the diameter size the distance had been improved by 500%. …”
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A new superimposed topology for single phase wireless power transfer / Azman Ab Malik by Ab Malik, Azman

“…Size of coil had been explored by increasing the diameter size. 16cm and 160cm diamater size of coil had been explored using algorithm approach by Taguchi method. Result shows that by increasing the diameter size the distance had been improved by 500%. …”
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Durian Farm Threats Identification through Convolution Neural Networks and Multimedia Mobile Development by Yusoff, Aiman, Kamarudin, Noraziahtulhidayu, Nabil Ali Al-Emad, Nabil Ali Al-Emad, Sapuan, Khusairi

“…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 by Yusoff, Aiman, Kamarudin, Noraziahtulhidayu, Al-Emad, Nabil Ali, Sapuan, Khusairi

“…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 by Yusof, Aiman, Kamarudin, Noraziahtulhidayu, Al-Emad, Nabil Ali, Sapuan, Khusairi

“…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 by Yusof, Aiman, Kamarudin, Noraziahtulhidayu, Al-Emad, Nabil Ali, Sapuan, Khusairi

“…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 by Yusoff, Aiman, Kamarudin, Noraziahtulhidayu, Al-Emad, Nabil Ali, Sapuan, Khusairi

“…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 by Aiman Yusof, Aiman Yusof, Kamarudin, Noraziahtulhidayu, Nabil Ali Al-Emad, Nabil Ali Al-Emad, Khusairi Sapuan, Khusairi Sapuan

“…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 by Aiman Yusoff, Aiman Yusoff, Noraziahtulhidayu Kamarudin, Noraziahtulhidayu Kamarudin, Nabil Ali Al-Emad, Nabil Ali Al-Emad, Khusairi Sapuan, Khusairi Sapuan

“…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 by Aiman Yusoff, Aiman Yusoff, Noraziahtulhidayu Kamarudin, Noraziahtulhidayu Kamarudin, Nabil Ali Al-Emad, Nabil Ali Al-Emad, Khusairi Sapuan, Khusairi Sapuan

“…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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Block based motion vector estimation using fuhs16 uhds16 and uhds8 algorithms for video sequence by S. S. S. , Ranjit

“…Based on the theoretical and fundamental research analysis the FUHS16 and UHDS16 algorithms using 16 × 16 block-based motion estimation formulations were developed. …”
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Durian Farm Threats Identification through Convolution Neural Networks and Multimedia Mobile Development by Aiman Yusoff, Aiman Yusoff, Noraziahtulhidayu Kamarudin, Noraziahtulhidayu Kamarudin, Nabil Ali Al-Emad, Nabil Ali Al-Emad, Khusairi Sapuan, Khusairi Sapuan

“…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 by Jambli, M.N., Wan Mohd Shuhaimi, W.B., Lenando, H., Abdullah, J., Mohamad Suhaili, S.

“…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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