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Development of Hybrid Convolutional Neural Network and Radial Basis Function for Autism Spectrum Disorder Classification
Published 2024“…Hence, this study proposed hybrid deep learning algorithms for ASD classification. Two algorithms merged: U-net neural network and Radial Basis Function (RBF) for medical image segmentation. …”
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Personalized one-shot local adaptation federated learning for mortality prediction in multi-center Intensive Care Unit
Published 2024“…Step 3 automatically evolves the best-fitting parameters for the highly personalized model at each center using an adapted genetic algorithm. Ultimately, this typical "FL training + local adaptation" PFL method can enhance model predictive accuracy by automatically generating a highly personalized model for each ICU center, guided by the FL sharing model. …”
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Using web questionnaire for web-based course evaluation: advantages and disadvantages
Published 2017“…This article examines some advantages and disadvantages of conducting Web survey research especially for Web-based course evaluation at Iranian university E-learning centers. It explores current features and issues associated with Web questionnaire through the implementation of a Web questionnaire for evaluating the effectiveness of computer courses at Iranian university E-learning centers. …”
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Detection of mental disorders based on the analysis of emotion, facial expressions and facial movements in a video stream
Published 2025“…Using machine learning techniques and deep learning algorithms, we aim to create an algorithm for emotion recognition using a personalized approach. …”
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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method
Published 2024thesis::doctoral thesis -
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Predicting Water Quality with Artificial Intelligence: A Review of Methods and Applications
Published 2024“…Additionally, we discuss a variety of modelling methods such as deep learning (DL) that have proven to boost the efficiency compared to traditional machine learning (ML) models. …”
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A New Swarm-Based Framework for Handwritten Authorship Identification in Forensic Document Analysis
Published 2014“…Many researches have been done to develop algorithms for extracting good features that can reflect the authorship with good performance. …”
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A new swarm-based framework for handwritten authorship identification in forensic document analysis
Published 2014“…Many researches have been done to develop algorithms for extracting good features that can reflect the authorship with good performance. …”
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Book Chapter -
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Performance Prediction of Compulsory Subjects and Recommendation of Subject Options for China’s New College Entrance Examination
Published 2026“…The dataset was split 80/20 for training and testing. Four machine learning algorithms: Naïve Bayes (NB), Decision Tree (DT), Artificial Neural Networks (ANNs), and Support Vector Machines (SVMs) were evaluated using accuracy, precision, recall, F1 score, and Matthews Correlation Coefficient (MCC). …”
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Operational matrix based on orthogonal polynomials and artificial neural networks methods for solving fractal-fractional differential equations
Published 2024“…In these chapters, we explore convergence, existence, and uniqueness of solutions to FFDEs, aiming to determine the existence and uniqueness of at least one solution. …”
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