Search Results - (( its application model algorithm ) OR ( mobile application using algorithmic ))*
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Mobile game application development using evolutionary algorithms
Published 2014“…Evolutionary Algorithms have never been used on mobile applications, thus it gives a novel idea of utilizing Evolutionary Algorithms in developing applications typically in games for mobile platforms. …”
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Thesis -
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Text spam messages classification using Artificial Immune System (AIS) algorithms
Published 2024thesis::master thesis -
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ChoCD : Usable and secure graphical password authentication scheme
Published 2024thesis::master thesis -
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Intrusion Detection in Mobile Ad Hoc Networks Using Transductive Machine Learning Techniques
Published 2011“…The proposed algorithm employs a combined model that uses two different measures (nonconformity metric measures and Local Distance-based Outlier Factor (LDOF)) to improve its detection ability. …”
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Dynamic area coverage algorithms for static and mobile wireless sensor network environments using voronoi techniques
Published 2011“…This thesis focuses on developing Voronoi Tessellation-based Coverage Optimization Algorithms for Static and Mobile Wireless Sensor Networks, where a large number of static nodes are supported by few mobile nodes in carrying out the sensing task. …”
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Cloudlet deployment and task offloading in mobile edge computing using variable-length whale and differential evolution optimization and analytical hierarchical process for decisio...
Published 2023“…Mobile edge computing (MEC) is a well-known technique to support delay-sensitive applications at the edge of mobile networks. …”
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Age And Gender Recognition Mobile App
Published 2023“…Therefore, this study aimed to develop age and gender recognition mobile application using deep learning algorithm. …”
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Final Year Project Report / IMRAD -
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Detection of Malaysian sign language with single shot detector algorithm/ Nurfarah Idayu Mohamad Fauzi, Shahirah Mohamed Hatim and Zalikha Zulkifli
Published 2023“…Single Shot Detector (SSD) algorithm was implemented to perform the Malaysian Sign Language object detection in the application. …”
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Deep Learning-Driven Mobility And Utility-Based Resource Management In Mm-Wave Enable Ultradense Heterogeneous Networks
Published 2025thesis::doctoral thesis -
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An efficient network mobility management for a 6LoWPAN mobile network in hospital environments
Published 2017“…To this date, only a few works on NEMO for 6LoWPAN mobile networks have been reported. The foremost demand of medical application is the need to ensure quality of service (QoS) for data transfer due to its criticalness in medical context. …”
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Estimation of mobile robot orientation using neural networks
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Working Paper -
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3D virtual modelling and stabilization control of triple links inverted pendulum on two-wheeled system using enhanced interval type-2 fuzzy logic control
Published 2020“…This model is proposed to represent a real hardware application for example mobile robot, walking robot and an airplane landing system. …”
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Quality of service management algorithms in WiMAX networks
Published 2015“…In addition, an analytical model for the proposed scheme is developed. Secondly, a Load-Aware Weighted Round Robin algorithm (LAWRR) packet scheduling discipline for downlink traffic in 802.16 networks is proposed to improve the poor performance of scheduling algorithm that use static weights under bursty traffic. …”
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Virtual room decorator in android
Published 2012“…Also provides a simulation mobile platform to test and validate different rover chassis design,its navigation and locomotion algorithms,and the support rover operation for the application built.Besides,the comparison with the various related current systems and applications in the web browser and usability of popular mobile application platforms also issued here.…”
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Undergraduates Project Papers -
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Development of a Reliable Multicast Protocol in Mobile Ad Hoc Networks
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Convolutional neural network based mobile application for poisonous mushroom detection
Published 2025“…To address these issues, this study aims to develop a mushroom detection prototype specifically for identifying poisonous mushrooms using a mobile application. The application leverages a Convolutional Neural Network (CNN) algorithm to accurately classify mushrooms based on user-submitted images. …”
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