Search Results - (( intelligence based group algorithm ) OR ( intelligence based aims algorithm ))*
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Optimal location and size estimation of distributed generators by employing grouping particle swarm optimization and grouping genetic algorithm
Published 2017“…This work is aimed to decrease the total real and reactive power losses while enhancing the voltage profile of the distribution network with less computation time by proposing two new artificial intelligence algorithms, i.e. grouping particle swarm optimization algorithm and grouping genetic algorithm. …”
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Thesis -
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User song preferences using preference learning in artificial intelligence
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Final Year Project / Dissertation / Thesis -
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Association ruleset formulation for cyberattack attribution process in cyber threat intelligence using apriori algorithm
Published 2021“…However, the massive amount of data from threat intelligence feeds for CTI is sketchy and not dependable in terms of quality. …”
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Extreme learning machine for user location prediction in mobile environment
Published 2011“…Purpose – Prediction accuracies are usually affected by the techniques and devices used as well as the algorithms applied. This work aims to attempt to further devise a better positioning accuracy based on location fingerprinting taking advantage of two important mobile fingerprints, namely signal strength (SS) and signal quality (SQ) and subsequently building a model based on extreme learning machine (ELM), a new learning algorithm for single-hidden-layer neural networks. …”
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Extreme learning machine for user location prediction in mobile environment
Published 2011“…Purpose – Prediction accuracies are usually affected by the techniques and devices used as well as the algorithms applied. This work aims to attempt to further devise a better positioning accuracy based on location fingerprinting taking advantage of two important mobile fingerprints, namely signal strength (SS) and signal quality (SQ) and subsequently building a model based on extreme learning machine (ELM), a new learning algorithm for single-hidden-layer neural networks. …”
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Automated cone cut error detection of bitewing images using convolutional neural network
Published 2023“…Meanwhile, deep learning is a specialized artificial intelligence method where an algorithm can be trained to automatically detect, classify and give output based on the trained dataset. …”
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Proceeding Paper -
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Innovating communication adaptation on social media using AI-based decision support systems
Published 2025“…Leveraging intelligent algorithms, the research investigates mechanisms that enable dynamic analysis and personalized recommendations to improve message clarity, relevance, and impact. …”
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Music Recommender System Using Machine Learning Content-Based Filtering Technique
Published 2022“…These algorithms identify hidden patterns or data groupings without the assistance of a human. …”
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Undergraduates Project Papers -
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Assessing the potential of laboratory instructional tool through Synthesia AI: a case study on student learning outcome / Jacqueline Joseph
Published 2023“…This research study aims to investigate the effectiveness of utilizing Synthesia Artificial Intelligence (AI), an advanced instructional tool, in enhancing laboratory experiments. …”
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Improved autonomous charging of mobile multi-robots using honeybee-inspired algorithm
Published 2016“…Application of mobile multi-robot with group and intelligence bio-inspired classified as swarm mobile robot. …”
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Application Of The Blockchain Technology Within Healthcare
Published 2021“…There are four proposed algorithms based on the actions of viewing and writing EMR, as well as another two additional actions aimed at improving the security of the blockchain framework. …”
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Final Year Project / Dissertation / Thesis -
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A flowchart-based multi-agent system for assisting novice programmers with problem solving activities
Published 2023“…The aim is to improve students' problem solving skills and to introduce them to the basic programming algorithms prior to surface structure, using an automatic text-to-flowchart conversion approach. …”
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Protein Sequences Classification Using Modular RBF Neural Networks
Published 2002“…This paper presents a modular neural classifier for protein sequences with improved classification criteria. The intelligent classification techniques described in this paper aims to enhance the performance of single neural classifiers based on a centralized information structure in terms of recognition rate, generalization and reliability. …”
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Book Chapter -
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An efficient up-link load reduction model based on clustering in vanets
Published 2019“…Cluster is a technique in VANETs used to group vehicles. The aim of this thesis is to mitigate uplink load at Base-Stations (BSs) resulted from the following: first, increased number of vehicles in the urban city leads to an increase in the number of cluster head (CH) in the network while each CH required uplink channel from BS. …”
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Thesis -
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A novel Multi-perspective benchmarking framework for selecting image dehazing intelligent algorithms based on BWM and group VIKOR techniques
Published 2020“…A novel Multi-perspective benchmarking framework for selecting image dehazing intelligent algorithms based on BWM and group VIKOR techniques by Abdulkareem, Karrar Hameed …”
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Solving university examination timetabling problem using intelligent water drops algorithm
Published 2024Conference Paper
