Search Results - (( mobile application among algorithm ) OR ( based applications learning algorithm ))*
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Advancements and challenges in mobile robot navigation: a comprehensive review of algorithms and potential for self-learning approaches
Published 2024“…With the goal of enhancing the autonomy in mobile robot navigation, numerous algorithms (traditional AI-based, swarm intelligence-based, self-learning-based) have been built and implemented independently, and also in blended manners. …”
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A new mobile botnet classification based on permission and API calls
Published 2024Conference Paper -
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Enhancing the QoS performance for mobile station over LTE and WiMAX networks / Mhd Nour Hindia
Published 2015“…On the second level, TOPSIS algorithm allocates resources among an application’s user based on their criteria and the application’s preferences. …”
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A New Mobile Botnet Classification based on Permission and API Calls
Published 2024“…Therefore, this paper presents a new mobile botnet classification based on permission and Application Programming Interface (API) calls in the smartphone. …”
Proceedings Paper -
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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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Reverse migration prediction model based on machine learning / Azreen Anuar
Published 2024“…And the third objective is to evaluate reverse migration prediction model based on machine learning analysis. For this purpose, three (3) algorithms have been assessed, namely, the Random Forest, Decision Tree, and Gradient Boosted Tree. …”
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A framework of modified adaptive neuro-fuzzy inference engine
Published 2012“…The performance of MANFIE was compared with existing methods in a diversity of practical benchmark applications such as pattern classifications, time series predictions, modeling with inverse learning control and mobile robot navigation. …”
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Development of a Wireless PC-Controlled Mobile Robot System and Multimedia Based Learning Module
Published 2001“…Multimedia technology provides a valuable resource to enhance the teaching and learning experience. The ability to combine practical applications and visualization is among the advantages of technology based training and teaching. …”
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Dynamic and adaptive execution models for data stream mining applications in mobile edge cloud computing systems / Muhammad Habib Ur Rehman
Published 2016“…Considering the complexity factors, existing literature proposes static execution models for MDSM applications. The execution models are based on either standalone mobile devices, mobile-to-mobile, mobile-to-edge, or mobile-to-cloud communication models. …”
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Software agent as an effective tool for managing the Internet of thing data complexity
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Bacterial image analysis using multi-task deep learning approaches for clinical microscopy
Published 2024“…Methods Three object detection networks of DL algorithms, namely SSD-MobileNetV2, EfficientDet, and YOLOv4, were developed to automatically detect Escherichia coli (E. coli) bacteria from microscopic images. …”
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Incremental learning for large-scale stream data and its application to cybersecurity
Published 2015“…In Chapter 2, we propose a new algorithm based on incremental Radial Basis Function Network (RBFN) to accelerate the learning in stream data. …”
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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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Context Aware Handover Algorithms For Mobile Positioning Systems
Published 2014“…This work proposes context aware handover algorithms for mobile positioning systems. The algorithms perform handover among positioning systems based on important contextual factors related to position determination with efficient use of battery. …”
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A Mobile Application For Stock Price Prediction
Published 2021“…The results show ARIMA has the least error among all five prediction algorithms. Therefore, ARIMA is the best prediction model to implement in the mobile application for stock price prediction. …”
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Content-based indexing of low resolution documents
Published 2016“…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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Mobile banking Trojan detection using Naive Bayes / Anis Athirah Masmuhallim
Published 2024“…Unfortunately, the abundance of mobile applications and lax management of some app stores has led to potential risks for mobile users, including privacy breaches and malicious deductions of fees, among other adverse consequences. …”
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