Search Results - (( using function based algorithm ) OR ( based interaction within algorithm ))
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1
An evaluation of Monte Carlo-based hyper-heuristic for interaction testing of industrial embedded software applications.
Published 2020“…The results show the Q-EMCQ is also capable of outperforming the original EMCQ as well as several recent meta/hyper-heuristic including modified choice function, Tabu high-level hyperheuristic, teaching learning-based optimization, sine cosine algorithm, and symbiotic optimization search in clustering quality within comparable execution time.…”
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2
User to user topic recommendation model for student social interaction
Published 2025“…This model can be used in a working setting to trigger social interactions based on mutual interest. …”
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Thesis -
3
An intelligent framework for modelling and active vibration control of flexible structures
Published 2004“…The second controller design strategy is based on a cost function optimization using GAS. …”
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4
Augmented reality monitoring system for cross-belt conveyor in advanced automation line / Sukarnur Che Abdullah ... [et al.]
Published 2025“…This motivates our initiative to develop a simulation of a cross-belt conveyor system. The algorithms for the conveyor system were implemented using C# within Visual Studio and Unity environments. …”
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5
Framework for stream clustering of trajectories based on temporal micro clustering technique
Published 2018“…In the online phase, the stream clustering algorithm for trajectories based on the lifespan of the cluster is proposed (CC_TRS) to overcome the limitations of the time window technique. …”
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6
Exploring c Environment (S/O: 12826)
“…Thus, the intelligent approach to this examination timetabling is new within the timetabling research environment. The hybridized algorithm is expected to possess similar characteristics of a robust optimization algorithm as compared to previously complicated optimization algorithms. …”
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7
Topology-aware hypergraph based approach to optimize scheduling of parallel applications onto distributed parallel architectures
Published 2020“…For these reasons, to improve the time and accuracy of the coverage in population-based meta-heuristics and their utilization in HPAs, this thesis presents a novel optimization algorithm called the Raccoon Optimization Algorithm (ROA). …”
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8
Network monopoly / Tan Kean Yeap
Published 2002“…The Network solution applies in this game system permits only low level of communication, particulary of sending and receiving limited amount of messages within network. The category of networking could serves to be a small foundation from which to base the future scenario of other reliable multicast and real-time web based gaming system.…”
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9
Machine learning-blockchain based autonomic peer-to-peer energy trading system
Published 2022“…The data used to train the GRU model are shared between all parties within the network, making the predictions transparent and verifiable. …”
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10
Human action recognition using slow feature analysis / Bardia Yousefi
Published 2016“…In addition, the model is considered a form information through active basis model based on incremental slow feature analysis (denoted as slow features). …”
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11
Evaluation of Security Metric for Artificial Internet of Things Smart Locking System
Published 2023“…Throughout this process, all developed sub-hardware components are design to interact seamlessly between one another, ensuring a functional and secure flow within the AIoT framework.…”
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12
Improving multi-resident activity recognition in smart home using multi label classification with adaptive profiling
Published 2018“…Existing works and solutions focused on separate models for recognizing the residents, activities and interactions. On top of that, data association and algorithm modification inherit drawbacks on recognizing the residents and interactions of multi-resident complex activities. …”
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13
Automate customer support handling E-Commerce enquiry using ChatGPT
Published 2024“…Additionally, order processing functionality will be integrated within the chat interface to provide convenience to the customers so that they can easily make order using a shorter time. …”
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Sequence and sequence-less t-way test suite generation strategy based on the elitist flower pollination algorithm
Published 2018“…If t-way strategies are to be adopted in such a system, there is also a need to support test data generation based on sequence of interactions. Addressing these aforementioned issues and complementing the existing sequence based strategies such as t-SEQ, Sequence Covering Array Generator and Bee Algorithm, this thesis presents a unified strategy based on the new meta-heuristic algorithm, called the Elitist Flower Pollination Algorithm (eFPA). …”
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16
Graphical user interface test case generation for android apps using Q-learning / Husam N. S. Yasin
Published 2021“…The computation time complexity of the Q-Learning-based test coverage algorithm was also analyzed. …”
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17
Gravitational search – bat algorithm for solving single and bi-objective of non-linear functions
Published 2018“…The BOGS-BAT algorithm is based on three techniques. The first technique is to move or switch solution from single function to functions that contain more than one objective functions. …”
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18
A block cipher based on genetic algorithm
Published 2016“…In many algorithms which are based on the genetic algorithm approach, diffusion properties using crossover and mutation function are being generated to produce a secure data transmission. …”
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19
User interface and interactivity design guidelines of algorithm visualization on mobile platform
Published 2019“…It includes the fundamental recommendations for designers, developer, and lecturers to produce AVOMP which are based on two aspects, namely UI design and interactivity aspects. …”
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FaaSBid: an auction-based model for Function as a Service in edge-fog environments using unallocated resources
Published 2026“…To initialise function placement, Fitness-Based Swap (FBSW) algorithm is proposed which places functions based on pre-defined information such as function size, function maximum execution time, and storage cost. …”
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