Search Results - (( intelligence based smart algorithm ) OR ( intelligence assisted learning algorithm ))

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  1. 1

    Application of Artificial Intelligence In Smart City by Law, Jia Wei

    Published 2021
    “…Proposals on AI application trends in the Economic dimension are regulated Unmanned Aerial Vehicle (UAV) application, create open resources of data sources, algorithms, and sources of economic AI machines, and assist in financial analysis of the smart city. …”
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    Final Year Project / Dissertation / Thesis
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    Development of an accurate AI-based dermatology assistant for skin disease recognition using YOLOv8 models by Huzaini, Muhammad Irfan Darwish, Mansor, Hasmah, Gunawan, Teddy Surya, Ahmad, Izanoordina

    Published 2024
    “…This research employs the YOLOv8 model, which is a deep learning algorithm, to determine the most effective methods for detecting skin diseases. …”
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    Proceeding Paper
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    Software agent as an effective tool for managing the Internet of thing data complexity by Mustafa, M.B., Yusoof, M.A.M.

    Published 2017
    “…In the agent-based approach to middleware, the agent’s property such as autonomous, mobile and intelligent are suitable as e-assistance tool for big data management. …”
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    Conference or Workshop Item
  4. 4

    Blockchain for Healthcare Medical Records Management System with Sharing Control by Haddad, Alaa, Habaebi, Mohamed Hadi, Islam, Md. Rafiqul, Zabidi, Suriza Ahmad

    Published 2021
    “…This is achieved using trained algorithms that provide an intelligent decision strategy based on Convolutional Neural Networks (CNN) to automatically extract high-level semantic information from electronic medical records and then perform automatic diagnosis. …”
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    Proceeding Paper
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    Design and Implementation of Intelligent Interoperability Framework for Heterogeneous Subsystems in Smart Home Environment by Perumal, Thinagaran

    Published 2011
    “…The second algorithm, named as Asynchronous Event-Driven algorithm is derived to manage heterogeneous subsystems in smart home environment. …”
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    Thesis
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    Classification and detection of intelligent house resident activities using multiagent by ,, Mohd. Marufuzzaman, M. B. I., Raez, M. A. M., Ali, Rahman, Labonnah F.

    Published 2013
    “…The intelligent home research requires understanding of the human behavior and recognizing patterns of activities of daily living (ADL).However instead of understand the psychosomatic nature of human early projects in this area simply employed intelligence to the household appliance.This paper proposed an algorithm for detecting ADL.The proposed method is based on two opposite state entity extraction.The method reflects on the common data flow of smart home event sequence.The developed algorithm clusters the smart home events by isolating opposite status of home appliance. …”
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    Conference or Workshop Item
  8. 8

    Multilingual Ontology Learning Algorithm for Emails by Beseiso M., Ahmad A.R., Ismail R., Taher M.

    Published 2023
    “…In this research, we have explained the necessity for utilizing multilingual ontology learning processes to solve this problem. We have proposed the multilingual ontology learning algorithm for semantic email. …”
    Conference paper
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    Using GA and KMP algorithm to implement an approach to learning through intelligent framework documentation by Mat Jani H., Lee S.P.

    Published 2023
    “…The main objective of this paper is to propose and implement an intelligent framework documentation approach that integrates case-based learning (CBL) with genetic algorithm (GA) and Knuth-Morris-Pratt (KMP) pattern matching algorithm with the intention of making learning a framework more effective. …”
    Conference paper
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    Developing an intelligent user manager system for controlling smart school network resources by Gani, Abdullah, Mouratidis, H., Abouzakhar, N.S., Manson, G.A.

    Published 2002
    “…This paper presents an Intelligent User Manager System (UMAS) for controlling access to network resources in a Smart School network. …”
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    Article
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    Intelligent energy allocation strategy for PHEV charging station using gravitational search algorithm by Rahman, Imran, Vasant, Pandian, Mahinder Singh, Balbir Singh, Abdullah-Al-Wadud, M.

    Published 2014
    “…Higher penetration of PHEVs require adequate charging infrastructure as well as smart charging strategies. We used Gravitational Search Algorithm (GSA) to intelligently allocate energy to the PHEVs considering constraints such as energy price, remaining battery capacity, and remaining charging time.…”
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    Conference or Workshop Item
  13. 13

    A review on artificial intelligence based load demand forecasting techniques for smart grid and buildings by Raza, M.Q., Khosravi, A.

    Published 2015
    “…This paper provides the comprehensive and systematic literature review of Artificial Intelligence based short term load forecasting techniques. …”
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    Article
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    An intelligent risk management framework for monitoring vehicular engine health by Rahim, Md. Abdur, Rahman, Md. Arafatur, Rahman, Md. Mustafizur, Zaman, Nafees, Moustafa, Nour, Razzak, Imran

    Published 2022
    “…The stacked ensemble of the deep learning algorithm outperformed other standard machine learning and deep learning algorithms in providing 80.3% decision accuracy for the 80% training data and efficiently managing large amounts of data. …”
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    Article
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    Swarm Intelligence-Based Smart Energy Allocation Strategy for Charging Stations of Plug-In Hybrid Electric Vehicles by Rahman, Imran, Vasant, Pandian, Mahinder Singh, Balbir Singh, Abdullah-Al-Wadud, M.

    Published 2015
    “…Most of these works require formulation of mathematical models with extensive use of computational intelligence-based optimization techniques to solve many technical problems. …”
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    Citation Index Journal
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    Swarm Intelligence-Based Smart Energy Allocation Strategy for Charging Stations of Plug-In Hybrid Electric Vehicles by Rahman, I., Vasant, P.M., Mahinder Singh, B.S., Abdullah-Al-Wadud, M.

    Published 2015
    “…Most of these works require formulation of mathematical models with extensive use of computational intelligence-based optimization techniques to solve many technical problems. …”
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    Article
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    Prediction Of Petroleum Reservoir Properties Using Nonlinear Feature Selection And Ensembles Of Computational Intelligence Techniques by Anifowose, Fatai Adesina

    Published 2015
    “…In this thesis, new non-linear feature-selection assisted methods and ensemble learning models are proposed. …”
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    Thesis
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