Search Results - intelligence ai ((((mining algorithm) OR (learning algorithm))) OR (means algorithm))

Search alternatives:

Refine Results
  1. 1

    Artificial intelligent integrated into sun-tracking system to enhance the accuracy, reliability and long-term performance in solar energy harnessing by Tan, Jun You

    Published 2022
    “…The proposed AI algorithm integrates two deep learning models which are object detection algorithm and reinforcement learning. …”
    Get full text
    Get full text
    Final Year Project / Dissertation / Thesis
  2. 2

    Automating commercial video game development using computational intelligence by Tse, Guan Tan, Teo, Jason Tze Wi, Patricia Anthony

    Published 2011
    “…Conclusion: Overall, the proposed algorithm has a very good performance with a high probability of automatically generating successful game AI controllers for the video game.…”
    Get full text
    Get full text
    Get full text
    Article
  3. 3

    Development of an intelligent information system for financial analysis depend on supervised machine learning algorithms by Lei, X., Mohamad, U.H., Sarlan, A., Shutaywi, M., Daradkeh, Y.I., Mohammed, H.O.

    Published 2022
    “…The development of Management Information Systems (MIS) is impossible without the use of machine learning (ML). It's a type of Artificial Intelligence (AI) that makes predictions using statistical models. …”
    Get full text
    Get full text
    Article
  4. 4

    Evolution of AI enabled healthcare systems using textual data with a pretrained BERT deep learning model by Wang, Yi Jie, Choo, Wei Chong, Ng, Keng Yap, Bi, Ran, Wang, Peng Wei

    Published 2025
    “…This study, using advanced text mining and multiple deep learning algorithms, utilized the Web of Science for scientific papers (1587) and the Derwent innovations index for patents (1314) from 2018 to 2022 to study future trends of emerging AI in healthcare. …”
    Get full text
    Get full text
    Get full text
    Article
  5. 5

    An efficient and effective case classification method based on slicing by Shiba, Omar A. A., Sulaiman, Md. Nasir, Mamat, Ali, Ahmad, Fatimah

    Published 2006
    “…The paper also discusses two of common classification algorithms that are used either in data mining or in general AI. …”
    Get full text
    Get full text
    Get full text
    Article
  6. 6
  7. 7

    Long-term electrical energy consumption: Formulating and forecasting via optimized gene expression programming / Seyed Hamidreza Aghay Kaboli by Seyed Hamidreza , Aghay Kaboli

    Published 2018
    “…This merit is provided by balancing the exploitation of solution structure and exploration of its appropriate weighting factors through use of a robust and efficient optimization algorithm in learning process of GEP approach. To assess the applicability and accuracy of the proposed method for long-term electrical energy consumption, its estimates are compared with those obtained from artificial neural network (ANN), support vector regression (SVR), adaptive neuro-fuzzy inference system (ANFIS), rule-based data mining algorithm, GEP, linear, quadratic and exponential models optimized by particle swarm optimization (PSO), cuckoo search algorithm (CSA), artificial cooperative search (ACS) algorithm and backtracking search algorithm (BSA). …”
    Get full text
    Get full text
    Get full text
    Thesis
  8. 8
  9. 9
  10. 10

    Artificial neural network approach for electric load forecasting in power distribution company / Hambali M. A ... [et al.] by M. A., Hambali, Y. K, Saheed, M. D, Gbolagade, M, Gaddafi

    Published 2017
    “…Researchers then performed data preprocessing on the data. Afterwards, data mining algorithms were applied in order to forecast electric load. …”
    Get full text
    Get full text
    Get full text
    Article
  11. 11

    Clustering Based on Customers’ Behaviour in Accepting Personal Loan using Unsupervised Machine Learning by Lim, Wai Ping, Goh, Ching Pang

    Published 2023
    “…This research explores the application of unsupervised learning, a subset of Artificial Intelligence (AI), to analyze customer behavior in accepting personal loans within the banking sector. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Article
  12. 12

    Identification and analysis of core topics in educational artificial intelligence research: a bibliometric analysis by Pu, Song, Ahmad, Nor Aniza, Md. Khambari, Mas Nida, Ng, Keng Yap

    Published 2021
    “…Educational artificial intelligence (EAI) means an integration of artificial intelligence (AI) and educational science that is going to serve as an authoritative element of the education system in the future. …”
    Get full text
    Get full text
    Get full text
    Article
  13. 13

    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. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Proceeding Paper
  14. 14
  15. 15

    Allah’s wisdom in creating the universe as a source of inspiration in artificial intelligence by Mahmod Attar Bashi, Zainab Senan, Maspo, Nur-Adib, Hassan Abdalla Hashim, Aisha, Senan, Shayma

    Published 2024
    “…The article further explores how nature-inspired algorithms, such as Particle Swarm Optimisation, Ant Colony Optimisation, and the Bat Algorithm, draw from natural processes to solve complex modern problems, reflecting the Quranic encouragement to seek insights from the natural world. …”
    Get full text
    Get full text
    Get full text
    Book Chapter
  16. 16

    Artificial Intelligence (AI) in the art and design industry / Fahmi Samsudin by Samsudin, Fahmi

    Published 2023
    “…It encompasses different types, such as rule-based AI using if-then statements for decision-making, machine learning which employs algorithms to analyze and learn from data, and deep learning utilizing artificial neural networks to learn from extensive datasets. …”
    Get full text
    Get full text
    Get full text
    Article
  17. 17

    Common cancer biomarkers of breast and ovarian types identified through artificial intelligence by Pawar, Shrikant, Liew, Tuck Onn *, Stanam, A., Lahiri, Chandrajit *

    Published 2020
    “…In this context, different clustering analyses like hierarchical and k‐means along with random forest algorithm have been utilized to classify important genes from a pool of several thousand genes. …”
    Get full text
    Get full text
    Article
  18. 18

    Machine learning models for predicting the compressive strength of concrete with shredded pet bottles and m sand as fine aggregate by Nadimalla, Altamashuddinkhan, Masjuki, Siti Aliyyah, Gubbi, Abdullah, Khan, Anjum, Mokashi, Imran

    Published 2025
    “…Machine learning is a critical subset of AI that deliberates the development of self-trained algorithms that use previous databases and analysis for result predictions. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Article
  19. 19
  20. 20