Search Results - (( based application learning algorithm ) OR ( mobile application during algorithm ))*
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Enhanced Q-Learning algorithm for potential actions selection in automated graphical user interface testing
Published 2023“…Thus, these techniques are unable to detect failures that occur due to the improper use of context data, which is becoming an increasingly common issue in mobile applications nowadays. We enhanced the Q-Learning algorithm for action selection based on potential action abilities and proposed a tool, namely CrashDroid, that allows the automation of testing context-aware Android applications. …”
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Target heart rate zone detector during exercise based on real-time facial expression using single shot detection algorithm / Muhammad Azziq Shamsudin, Raihah Aminuddin and Ummu Mar...
Published 2022“…The object detection machine learning model used in this project is Single Shot Detector (SSD) algorithm. …”
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E-history Malaysian secondary school textbook using TF-IDF algorithm and text visualization / Nur Hafizah Mohd Ridzuan
Published 2020“…Results show that all functions in the system is fully functioned and well-integrated plus most of the users provide good and promising feedbacks during the usability testing. As the future works, the system can be improved by applied the system using mobile apps application to make the system can have easier access and implementation of another technique such as semantic-based searching and the usage of stemming algorithm would be considered to produce more meaningful results.…”
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An immunological-based simulation: A case study of risk concentration for mobile spam context assessment
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A malware analysis and detection system for mobile devices / Ali Feizollah
Published 2017“…We then used feature selection algorithms and deep learning algorithms to build a detection model. …”
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A Neural Network Mobile Learning Application For Autonomous Improvement In A Flexible Manufacturing Environment
Published 2016“…To attain this objective, a mobile device loaded with an Android app is used to present information that is processed by a neural network algorithm. …”
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A Novel Path Prediction Strategy for Tracking Intelligent Travelers
Published 2009“…Apart from the positioning algorithm of this dissertation, there are several applications of this DSS to other areas including assistive technology for the blind and human-robot interaction. …”
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Software agent as an effective tool for managing the Internet of thing data complexity
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Handover Parameter for Self-optimisation in 6g Mobile Networks: A Survey
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Fast handover algorithm for hierarchical mobile IPv6 macro-mobility management
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REGION-BASED ADAPTIVE DISTRIBUTED VIDEO CODING CODEC
Published 2011“…This work also prbposes a feedback-free region-based adaptive DVC solution in pixel domain based on machine learning approach to estimate the side information. …”
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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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Improved autonomous charging of mobile multi-robots using honeybee-inspired algorithm
Published 2016“…It is also known as application that applies large number of mobile robot. …”
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A framework of rough cultural algorithms in optimizing mobile web caching performance
Published 2007“…The common cause of poor performance is due to the direct access to the server (e.g. pitiable performance of server-side applications or during burst crowds) and network infrastructure (e.g. long geographical distances, network overloads, etc.). …”
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A new efficient checkpointing algorithm for distributed mobile computing
Published 2015“…This algorithm is characterized by its efficiency and optimization in terms of incurred time-space overhead during checkpointing process and normal application running period.…”
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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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