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Application of deep learning algorithms in lung sound classification: A systematic review since 2015
Published 2025“…The article’s thorough analysis revealed that deep learning algorithms have outperformed traditional machine learning techniques in lung sound classification.…”
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Autism Spectrum Disorder Classification Using Deep Learning
Published 2021“…Recently, deep learning methods have significantly sharpened the cutting edge of learning algorithms in a wide range of artificial intelligence tasks. …”
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A review on object detection algorithms based deep learning methods / Wan Xing ... [et al.]
Published 2023“…Deep learning-based object detection algorithms can be categorized into three main types: end-to-end algorithms, two-stage algorithms, and one-stage algorithms. …”
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The efficacy of deep learning algorithm in classifying chilli plant growth stages
Published 2021“…The demand in this field has created various opportunities, especially for automatic classification using deep learning methods. In this paper, the efficiency of deep learning algorithms in classifying the growth stage of chili plants is studied. …”
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Deep reinforcement learning approaches for multi-objective problem in Recommender Systems
Published 2022“…In the performance comparison between proposed deep reinforcement learning with evolutionary algorithm, despite one of the variants of evolutionary algorithm has good performance in precision, it has rather weak performance in term of novelty and diversity. …”
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A review of deep learning and machine learning techniques for hydrological inflow forecasting
Published 2024“…This review paper tends to broadcast more of the intriguing interest in reservoir inflow prediction utilizing deep learning and machine learning algorithms. The AI models utilized for different hydrology sectors, as well as the most prevalent machine learning techniques, will be explored in this thorough study, which divides AI techniques into two primary categories: deep learning and machine learning. …”
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Theoretical Insights into Neural Networks and Deep Learning: Advancing Understanding, Interpretability, and Generalization
Published 2023“…It explores fundamental aspects such as network architectures, activation functions, and learning algorithms, analyzing their theoretical foundations. …”
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Conference or Workshop Item -
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An Improved Ensemble Deep Learning Model Based on CNN for Malicious Website Detection
Published 2023Conference Paper -
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Theoretical Insights into Neural Networks and Deep Learning: Advancing Understanding, Interpretability, and Generalization
Published 2023“…It explores fundamental aspects such as network architectures, activation functions, and learning algorithms, analyzing their theoretical foundations. …”
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Theoretical Insights into Neural Networks and Deep Learning: Advancing Understanding, Interpretability, and Generalization
Published 2023“…It explores fundamental aspects such as network architectures, activation functions, and learning algorithms, analyzing their theoretical foundations. …”
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Traffic signal control with deep reinforcement learning
Published 2025“…With numerous efforts and research in this area, the methods have evolved from transportation theory to deep reinforcement learning (DRL) approaches over the years. …”
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Final Year Project / Dissertation / Thesis -
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Deep Learning-Driven Mobility And Utility-Based Resource Management In Mm-Wave Enable Ultradense Heterogeneous Networks
Published 2025thesis::doctoral thesis -
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Evaluating Adan vs. Adam: an analysis of optimizer performance in deep learning
Published 2025“…Choosing a suitable optimization algorithm in deep learning is essential for effective model development as it significantly influences convergence speed, model performance, and the success of the train- ing process. …”
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Proceeding Paper -
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Design of Modeling Elements of Luoshan Shadow Puppets Creative Goods Based on Deep Learning
Published 2023“…In this paper, based on the design of modeling elements of mountain shadow puppets, the characteristics of visual elements of shadow puppets creative goods are analyzed, and an intelligent design algorithm of shadow puppets creative goods based on deep learning (DL) is innovatively proposed. …”
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Proceeding -
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A Novel Hybrid Unet-RBF and CNN-RBF Algorithm for Autism Spectrum Disorder Classification
Published 2024“…Achieving 94.79% accuracy surpasses previous studies, highlighting deep learning's potential in neuroscience. Future research should explore diverse algorithms, validating them across varied datasets with different hyperparameters to enhance ASD classification efficiency.…”
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Real time long range (LoRa) based indoor positioning system using Deep Gaussian Process (DGP) algorithm / Ng Tarng Jian
Published 2025“…Through experimental evaluation and comparison of various machine learning algorithms, including Deep Gaussian Process (DGP) regression, the research demonstrates the effectiveness of DGPs in achieving precise single-point estimation, by keeping the mean absolute error to below 5 meters. …”
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Thesis