Search Results - (( initial mobile learning algorithm ) OR ( java implication based algorithm ))
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Autonomous path planning robot using geographical information
Published 2008Get full text
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Solving the optimal path planning of a mobile robot using improved Q-learning
Published 2019“…In order to address this limitation, the concept of partially guided Q-learning is introduced wherein, the flower pollination algorithm (FPA) is utilized to improve the initialization of Q-learning. …”
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Context-Aware Recommender System based on machine learning in tourist mobile application / Nor Liza Saad … [et al.]
Published 2022“…Furthermore, data were collected simulated based on the mobile application prototype to be used for finding the suitable machine learning algorithms in the recommendation system module. …”
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Mobile Learning: An Application Prototype for AVL Tree Learning Object
Published 2010“…Our approach is to incorporate video clips in presenting the algorithm systematically. With this mobile learning application, student could learn at his or her own pace, anywhere anytime. …”
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Mobile Learning: An Application Prototype for AVL Tree Learning Object
Published 2010“…Our approach is to incorporate video clips in presenting the algorithm systematically. With this mobile learning application, student could learn at his or her own pace, anywhere anytime. …”
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Image classification of Aedes mosquitoes using transfer learning / Zetty Ilham Abdullah
Published 2021“…The advancement and rapid growth of machine learning field should not overlook this issue. Transfer learning concept in machine learning has been shown to improve learning of the targeted task by extending the original algorithm with knowledge gathered from the initial training to improve the performance of new model. …”
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An extended adaptive mechanism of evolutionary based channel assignment via reinforcement
Published 2012“…The process of channel assignment must satisfy hard-constraints such as electromagnetic compatibility (EMC) and the demand of channels in a cell. Initial channel assignment parameters are obtained using self-learning scheme and evolutionary algorithms is used to fine-tune the estimated parameters from reinforcement learning algorithm to optimise the channel assignment problem in wireless mobile networks. …”
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Research Report -
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A Static Approach towards Mobile Botnet Detection
Published 2016“…In this study we propose a static approach towards mobile botnet detection. This technique combines MD5, permissions, broadcast receivers as well as background services and uses machine learning algorithm to detect those applications that have capabilities for mobile botnets. …”
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CNN integrated mobile application: food image recognition for recipe generation
Published 2025“…This research has shown how machine learning, mobile development, and user-centric design can be successfully combined to create a useful tool for contemporary culinary demands. …”
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Risk Concentration for Context Assessment (RiCCA) of SMS Messages using Danger Theory
Published 2024“…This RiCCA prototype is developed from Danger Theory algorithms that is Dendritic Cell Algorithm (DCA) and Deterministic Dendritic Cell Algorithm (dDCA). …”
thesis::doctoral thesis -
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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
Published 2025“…Future work could incorporate additional deep-learning models like CNNs and RNNs to enhance gesture classification accuracy. …”
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Analysis of online CSR message authenticity on consumer purchase intention in social media on Internet platform via PSO-1DCNN algorithm
Published 2024“…Secondly, this work designs optimization measures from inertia weight and learning factor to build an improved particle swarm optimization algorithm (IPSO). …”
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Detection of phishing websites using machine learning approaches
Published 2021“…As the world responded to the Coronavirus Disease 2019 (COVID-19) pandemic in 2020, digital operations became more important, and people started to depend on new initiatives such as the cloud and mobile infrastructure. …”
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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method
Published 2024thesis::doctoral thesis -
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Data fusion and multiple classifier systems for human activity detection and health monitoring: Review and open research directions
Published 2019“…Recently, deep learning algorithms for automatic feature representation have also been proposed to lessen the burden of reliance on handcrafted features and to increase performance accuracy. …”
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An enhanced android botnet detection approach using feature refinement
Published 2019“…That adopts machine learning techniques to classify botware and benign applications. …”
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