Search Results - (( intelligence making process algorithm ) OR ( intelligence based real algorithm ))

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  1. 1

    A hybrid approach for artificial immune recognition system / Mahmoud Reza Saybani by Mahmoud Reza, Saybani

    Published 2016
    “…The increasing size of data being stored have created the need for computer-based methods for automatic data analysis. Many researchers, who have developed methods and algorithms within the field of artificial intelligence, machine learning and data mining, have addressed extracting useful information from the data. …”
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    Thesis
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    DATA CLASSIFICATION SYSTEM WITH FUZZY NEURAL BASED APPROACH by LUONG, TRUNG TUAN

    Published 2005
    “…However the proposed algorithm offers a promising approach to building intelligent systems.…”
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    Final Year Project
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    Image Based Congestion Detection Algorithms And Its Real Time Implementation by Khdiar, Ahmed Nidhal

    Published 2015
    “…In recent years, intelligent traffic management have included many new fields and features. …”
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    Thesis
  4. 4

    Domestic garbage target detection based on improved YOLOv5 algorithm by Ma, Haohao, Wu, Xuping, As'arry, Azizan, Han, Weiliang, Mu, Tong, Feng, Yanwei

    Published 2023
    “…Experiments have proved that the accuracy of intelligent classification reached 98.27%, which is 3.85% higher than the original algorithm. …”
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    Conference or Workshop Item
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    Modeling of static and dynamic components of bio-nanorobotic systems by Gavgani, Hamidreza Khataee

    Published 2012
    “…Moreover, agent-based behavioral models of the nanomotors are developed using state machine diagrams of UML to illustrate the internal autonomous and intelligent decision-making processes of the nanomotors. …”
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    Thesis
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    Process Planning Optimization In Reconfigurable Manufacturing Systems by Musharavati, Farayi

    Published 2008
    “…The five (5) AADTs include; a variant of the simulated annealing algorithm that implements heuristic knowledge at critical decision points, two (2) cooperative search schemes based on a “loose hybridization” of the Boltzmann Machine algorithm with (i) simulated annealing, and (ii) genetic algorithm search techniques, and two (2) modified genetic algorithms. …”
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    Thesis
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    Short-term electricity price forecasting in deregulated electricity market based on enhanced artificial intelligence techniques / Alireza Pourdaryaei by Alireza , Pourdaryaei

    Published 2020
    “…This merit is provided by balancing the exploitation of solution structure and exploration of its appropriate weighting factors through the use of Backtracking Search Algorithm (BSA) as an efficient optimization algorithm in learning process of ANFIS approach. …”
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    Thesis
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    Machine learning for data classification in construction project planning by Lau, Zheng Liang

    Published 2023
    “…Machine Learning is a tool of Artificial Intelligence to use the algorithms and statistical models to enable a machine to learn the concept and make predictions or decision as an outcome. …”
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    Final Year Project / Dissertation / Thesis
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    A Modular Intelligent Control Framework for Scalable Biohydrogen Production in Microbial Electrolysis Cells by Mohd Farid, Atan, Mohamad Afiq, Mohd Asrul, Andrica Claudia, Henry, Hafizah, Abdul Halim Yun, Ivy Tan, Ai Wei, Josephine Lai, Chang Hui

    Published 2025
    “…Microbial electrolysis cells (MECs) convert wastewater into renewable hydrogen; however, their commercial adoption is hindered by highly nonlinear dynamics, complex microbial interactions, and inadequate process control. This review traces the evolution of five control paradigms, including voltage/proportional-integral-derivative (PID), model-based, adaptive, fuzzy logic, and artificial-intelligence (AI) systems, as well as hybrid intelligent controllers, and benchmarks each against scalability, dynamic responsiveness, and energy-recovery performance. …”
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    Article
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    Hybrid evolutionary optimization algorithms: A case study in manufacturing industry by Vasant, P.

    Published 2014
    “…Such complex problems of vagueness and uncertainty can be handled by the hybrid evolutionary intelligence algorithms. In this chapter, a new hybrid evolutionary optimization based methodology using a specific non-linear membership function, named as modified S-curve membership function, is proposed. …”
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    Book
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    Prediction and multi-criteria-based schemes for seamless handover mechanism in mobile WiMAX networks by Mubarak, Mohammed Awadh Ahmed Ben

    Published 2013
    “…Cell selection is a key element that insures that the QoS and user requirements during and after handover process is met. In the proposed HATSC scheme, the AHP method is uese for criteria weighting, while the TOPSIS method uses for the selection technique based on a multi-criteria decision-making algorithm is proposed. …”
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    Thesis
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    Auto-feed hyperparameter support vector regression prediction algorithm in handling missing values in oil and gas dataset by Amirruddin, A., Aziz, I.A., Hasan, M.H.

    Published 2020
    “…The novel optimization-based artificial intelligence algorithm proposed in this paper implies an improved way to overcome a real engineering challenge i.e. handling missing values for better RUL prediction, hence bringing great opportunities for the domain area. …”
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    Article
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    Artificial intelligence revolutionising the automotive sector: A comprehensive review of current insights, challenges, and future scope by Hossain, Md Naeem, Rahim, Md. Abdur, Rahman, Md Mustafizur, D., Ramasamy

    Published 2025
    “…The transformative impact of Artificial Intelligence (AI) has revolutionised multiple facets of the automotive industry, encompassing intelligent manufacturing processes, diagnostic systems, control mechanisms, supply chain operations, customer service platforms, and traffic management solutions. …”
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    Article
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    A systematic literature review on the application of artificial intelligence in enhancing care for kidney diseases patients by Rahman, Md Saidur, Md Nor, Nor Saadah

    Published 2024
    “…AI-based systems enhance decision support for clinicians, improving the management of dialysis and post-transplant care by predicting complications and providing real-time insights. …”
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    Article
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