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    A model-based deep learning approach to spectrum management in distributed cognitive radio networks

    Published 2020
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    Modeling 3D mesoscaled neuronal complexity through learning-based dynamic morphometric convolution

    Published in Brain Informatics (2026)
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    LSTM-Based Hybrid Deep Learning Models for Visibility Prediction: A Data-Driven Approach

    Published in Advances in Meteorology (2026)
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    PIXAL: a physics-inspired explainable machine learning architecture for Greenland ice albedo modeling

    Published in The Cryosphere (TC) (2026)
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    Comparing Machine Learning Models for Pupillary Light Reflex–Based Autism Spectrum Disorder Classification

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    Towards autonomous production control: a reinforcement learning-based model for hybrid remanufacturing systems

    Published in Journal of Remanufacturing (2026)
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    Modeling the Impact of Perceived Security and Privacy on Student Adoption of Mobile Learning Applications Beyond Functionality

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    Deep learning model for genotype prediction from echocardiographic videos in non-ischaemic dilated cardiomyopathy

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    Utilising land use scenario modeling and machine learning for mitigating drought risks in degraded landscapes

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    GIS-based machine learning models for assessing landslide impact in King County, Washington, USA

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    Landslide susceptibility assessment in the Central Yunnan Plateau by assembling optimized statistical and machine learning models

    Published in Geoenvironmental Disasters (2026)
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    Modeling the Impact of Perceived Security and Privacy on Student Adoption of Mobile Learning Applications Beyond Functionality

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    DistilBERT-based Text Classification for Learning Style Identification Based on the Felder-Silverman Model

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    An Efficient Ensemble Learning Model Integrating Multi‐Branch Sub‐Networks for Facial Expression Recognition

    Published in Cognitive Computation and Systems (2025)
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    Development of Anthro-Fitness Model for Evaluating Firefighter Recruits’ Performance Readiness Using Machine Learning

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    DistilBERT-based Text Classification for Learning Style Identification Based on the Felder-Silverman Model

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    Modeling the Impact of Perceived Security and Privacy on Student Adoption of Mobile Learning Applications Beyond Functionality

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    A Supervised Machine Learning in Financial Forecasting: Identifying Effective Models for the BIST100 Index

    Published in Review of Economic Perspectives (2025)
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    Implementation of Q learning and deep Q network for controlling a self balancing robot model

    Published in Robotics and Biomimetics (2018)
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    Learning inherent genetic patterns and trait associations with deep generative models for discrete genotype simulation

    Published in GigaScience (2026)
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