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  1. 1
    Global-Local Partial Least Squares Discriminant Analysis And Its Extension In Reproducing Kernel Hilbert Space

    Global-Local Partial Least Squares Discriminant Analysis And Its Extension In Reproducing Kernel Hilbert Space by Muhammad, Aminu

    Published 2021
    “…Subspace learning is an essential approach for learning a low dimensional representation of a high dimensional space. …”
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  2. 2
    Problem Solving

    Problem Solving by Yahaya, Azizi

    Published 2010
    “…Additionally in solving ill-structured problems, people may need to use more than a heuristic or an algorithmic strategy; insight may be required. …”
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  3. 3
    Deep plant: A deep learning approach for plant classification / Lee Sue Han

    Deep plant: A deep learning approach for plant classification / Lee Sue Han by Lee , Sue Han

    Published 2018
    “…The third part of the thesis proposes a novel framework of plant structural learning based on Recurrent Neural Networks (RNN), namely the Plant-StructNet. …”
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  4. 4
    Imitation learning through self-exploration : from body-babbling to visuomotor association / Farhan Dawood

    Imitation learning through self-exploration : from body-babbling to visuomotor association / Farhan Dawood by Dawood, Farhan

    Published 2015
    “…In the learning process the network first forms mapping from each motor representation onto visual representation from the self-exploratory perspective. …”
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  5. 5
    Modified word representation vector based scalar weight for contextual text classification

    Modified word representation vector based scalar weight for contextual text classification by Abbas Saliimi, Lokman

    Published 2024
    “…To bridge this gap, a five-phase research methodology is structured to propose and evaluate an algorithm enabling the external modification of LLM-generated word vectors using scalar values as the focus weightage. …”
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  6. 6
    Enhancement of text representation for Indonesian document summarization with deep sequential pattern mining

    Enhancement of text representation for Indonesian document summarization with deep sequential pattern mining by Dian Sa’adillah Maylawati

    Published 2023
    “…Therefore, the present study aims: (1) to improve Indonesian text summary by enhancing the Sequence of Word (SoW) as text representation using Sequential Pattern Mining (SPM) with PrefixSpan algorithm since the effectiveness of SPM in Indonesian is proven useful for text classification and clustering; (2) to combine SPM and Deep Learning (DeepSPM) in text summarization with Indonesian text, as a result of its superior accuracy when trained with large amounts of data; and (3) to evaluate the readability of Indonesian text summary with several evaluation scenarios. …”
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  7. 7
    Using Pattern Matching technique for feature recognition of STEP file

    Using Pattern Matching technique for feature recognition of STEP file by Nik Norhazlina Nik Hassan

    Published 2008
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    Learning Object
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  8. 8
    A Denoising Generative Adversarial Network Based On Enhanced Feature Mapping Of Data Augmentation For Image Synthesis

    A Denoising Generative Adversarial Network Based On Enhanced Feature Mapping Of Data Augmentation For Image Synthesis by Chen, Li

    Published 2024
    “…This requires the generator to learn how to generate images from partially damaged data, leading to better representations learned from the data. …”
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  9. 9
    Evolving fuzzy grammar for crime texts categorization

    Evolving fuzzy grammar for crime texts categorization by Mohd Sharef, Nurfadhlina, Martin, Trevor

    Published 2015
    “…In this method, the learning model is built based on a set of selected text fragments which are then transformed into their underlying structure called fuzzy grammars. …”
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  10. 10
    Effective query structuring with ranking using named entity categories for XML retrieval

    Effective query structuring with ranking using named entity categories for XML retrieval by Roko, Abubakar

    Published 2016
    “…Finally, the system utilizes a query formulation algorithm (QRYF) to select the structured queries that best interpret user query. …”
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  11. 11
    Enhancing high-dimensional streaming data analysis: optimizing Online Feature Selection for handling drift using optimization technique and ensemble learning

    Enhancing high-dimensional streaming data analysis: optimizing Online Feature Selection for handling drift using optimization technique and ensemble learning by Kamaru-Zaman, Ezzatul Akmal

    Published 2024
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  12. 12
    Hybrid multilayered perceptron network for classification of bundle branch blocks

    Hybrid multilayered perceptron network for classification of bundle branch blocks by Megat Syahirul Amin, Megat Ali, Ahmad Nasrul, Norali, Aisyah Hartini, Jahidin

    Published 2012
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  13. 13
    Modeling 2D appearance evolution for 3D object categorization

    Modeling 2D appearance evolution for 3D object categorization by Mohd Zaki, Hasan Firdaus, Shafait, Faisal, Mian, Ajmal

    Published 2016
    “…We then learn CNN models on this novel shape representation for both RGB and depth which encode salient geometrical structure of the polygon. …”
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  14. 14
    Multitasking deep neural network models for Arabic dialect sentiment analysis

    Multitasking deep neural network models for Arabic dialect sentiment analysis by Alali, Muath Mohammad Oqlah

    Published 2022
    “…The existing approaches are based on traditional machine learning algorithms, such as support vector machine (SVM). …”
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  15. 15
    Unsupervised monocular depth estimation with multi-scale structural similarity powered loss function / Ali Kohan

    Unsupervised monocular depth estimation with multi-scale structural similarity powered loss function / Ali Kohan by Ali, Kohan

    Published 2020
    “…Depth Estimation refers to a set of techniques and algorithms that aim to obtain a representation of spatial information of a scene. …”
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  16. 16
    APPLICATION OF LINK GRAMMAR IN SEMI-SUPERVISED NAMED ENTITY RECOGNITION FOR ACCIDENT DOMAIN

    APPLICATION OF LINK GRAMMAR IN SEMI-SUPERVISED NAMED ENTITY RECOGNITION FOR ACCIDENT DOMAIN by SARI, YUNITA SARI

    Published 2011
    “…The algorithm reduces the training efforts and generates almost similar result as compared to the conventional supervised learning technique. …”
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  17. 17
    Deep learning algorithm and IoT based system for Photovoltaic (PV) defect images classification

    Deep learning algorithm and IoT based system for Photovoltaic (PV) defect images classification by Mazlan, Nurul Atikah

    Published 2025
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  18. 18
    Determining malaria risk factors in Abuja, Nigeria using various statistical approaches

    Determining malaria risk factors in Abuja, Nigeria using various statistical approaches by Segun, Oguntade Emmanuel

    Published 2018
    “…Based on cross-validation analysis, the score-based algorithm outperformed the constraint-based algorithms in the structural learning. …”
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  19. 19
    Unsupervised classification of multi-class chart images: A comparison of customized CNNs and transfer learning techniques

    Unsupervised classification of multi-class chart images: A comparison of customized CNNs and transfer learning techniques by Hassan Zaidi, Syed Muhammad, Jamil Alsayaydeh, Jamil Abedalrahim, Khan, Abdul Hafeez, Khan, Abdullah Ayub, AlZubi, Ahmad Ali, Ogunshola, Benny, Herawan, Safarudin Gazali

    Published 2025
    “…Visualization through charts has become a crucial method for presenting complex data in a clear and structured format, surpassing traditional representation techniques in both clarity and interpretability. …”
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  20. 20
    Web service applications and consumer environments based on ICT-driven optimization

    Web service applications and consumer environments based on ICT-driven optimization by Fan, Chaozhi, Law, Siong Hook, Ibrahim, Saifuzzaman, Ahmad, Mohd Naseem

    Published 2022
    “…Therefore, this paper proposes a service recommendation model based on the hybrid embedding of multiple networks and designs a multinetwork hybrid embedding recommendation algorithm. First, the user social relationship network and the user service heterogeneous information network are constructed; then, the embedding vectors of users and services in the same vector space are obtained through multinetwork hybrid embedding learning; finally, the representation vectors of users and services are applied to recommend services to target users. …”
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