Search Results - (( java segmentation using algorithm ) OR ( using context aware algorithm ))
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1
Image clustering comparison of two color segmentation techniques
Published 2010“…Finally, the algorithm found, which would solve the image segmentation problem.…”
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Providing Ubiquitous Positioning Using Context Aware Handover Algorithm
Published 2012“…This research alms to solve the problem of ubiquitous positioning by designing a context aware handover algorithm for positioning systems. …”
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CONTEXT AWARE TRAFFIC SCHEDULING ALGORITHM FOR COMMUNICATION SYSTEM IN POWER DISTRIBUTION NETWORK
Published 2023“…Based on these, it is proven that the algorithm with contextual aware performs better for delay and jitter while maintaining the throughput as compared to the algorithm without contextual aware.…”
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Automatic Number Plate Recognition on android platform: With some Java code excerpts
Published 2016“…On the other hand, the traditional algorithm using template matching only obtained 83.65% recognition rate with 0.97 second processing time. …”
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Development of seven segment display recognition using TensorFlow on Raspberry Pi
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Context aware traffic scheduling algorithm for power distribution smart grid network
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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. …”
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Context-aware diabetic patient remote monitoring using wearable and mobile App / Mohd Izzat Ismail Hashim
Published 2019“…Previous studies have shown that context-aware techniques have been widely used in healthcare application. …”
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9
Dynamic radius for context- aware recommender system
Published 2021“…In this paper, a dynamic search radius algorithm is introduced as part of a context-aware recommender framework. …”
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Behavioural Feature Extraction For Context-Aware Traffic Classification Of Mobile Applications
Published 2018“…This thesis identified domain-specific features that are effective for accurate, large-scale and scalable mobile applications classification using machine learning techniques. This thesis designed a context-aware traffic classification framework that includes a set of sequential algorithms from cleaning datasets, to identifying new features and detecting optimal classifier(s) based on problem contexts to improve classification accuracy in multi-variate traffic classification.…”
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Context-Aware Recommender System based on machine learning in tourist mobile application / Nor Liza Saad … [et al.]
Published 2022“…This paper provides the fundamental knowledges on machine learning design and evaluation useful in the tourist mobile application with context-aware recommender system.…”
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An Efficient Energy Aware Adaptive System-On-Chip Architecture For Real-Time Video Analytics
Published 2016“…A Performance model for Zynq is developed using analytical method and used in hardware/software codesign to facilitate algorithms mapping to hardware. …”
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13
Enhanced Q-Learning algorithm for potential actions selection in automated graphical user interface testing
Published 2023“…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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14
Context aware app recommendation using email semantic analysis
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15
Improving the exploration strategy of an automated android GUI testing tool based on the Q-Learning algorithm by selecting potential actions
Published 2022“…We propose a tool, namely the Crash Droid, that allows the automation of testing context-aware Android applications. We utilise the Q-Learning algorithm to compare actions, including context-based actions, to effectively detect crashes and achieve a higher code coverage.…”
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Risk Concentration for Context Assessment (RiCCA) of SMS Messages using Danger Theory
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Using clinical practice guidelines to manage dengue: a qualitative study in a Malaysian hospital
Published 2019“…Where Medical Officers were well trained in the appropriate use of evidence-based guidelines, barriers to use included: the potential for 'following the algorithm' to undermine junior clinicians' claims to clinical expertise; inability to recognise the pattern of clinical progress; and lack of clinical experience. …”
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Application of BukaGini algorithm for enhanced feature interaction analysis in intrusion detection systems
Published 2024“…This article presents an evaluation of BukaGini, a stability-aware Gini index feature selection algorithm designed to enhance model performance in machine learning applications. …”
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Screen-related dependency in children: algorithm for referral from primary care in Malaysia
Published 2025“…It was also designed for awareness and education for parents and caretakers, and essentially for the attention of primary healthcare providers…”
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