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Design and implementation of a deep learning-empowered m-Health application
Published 2023“…Later, the web service classifies using the pre-trained model built based on a deep learning algorithm. The final phase displays the confidence rates on the mobile application. …”
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Leveraging Machine and Deep Learning Algorithms for hERG Blocker Prediction
Published 2025“…The application of machine learning (ML) and deep learning (DL) models in the field of toxicity has gained burgeoning interest. …”
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Classifying Maqams of Qur'anic Recitations Using Deep Learning
Published 2021Subjects: “…Deep learning…”
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Exploring Semi-Supervised Learning Algorithms for Camera Trap Images
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Content-Aware Adaptive Video Streaming Using Actor-Critic Deep Reinforcement Learning
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DeepRaman: Implementing surface-enhanced Raman scattering together with cutting-edge machine learning for the differentiation and classification of bacterial endotoxins
Published 2025“…ResultMost traditional machine learning algorithms achieved distinction accuracies of over 99 percent, whereas DeepRaman demonstrated an exceptional accuracy of 100 percent. …”
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A systematic review of text classification research based on deep learning models in Arabic language
Published 2020“…Our results provide some findings regarding how deep learning models can be used to improve text classification research in Arabic language.…”
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Parallel algorithm for hardware implementation of inverse halftoning
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AI and IoT-based concrete column base cover localization and degradation detection algorithm using deep learning techniques
Published 2023“…This paper proposes a novel automated algorithm for the health monitoring of concrete column base cover degradation based on IoT and the state-of-the-art deep learning framework, Convolutional Neural Network (CNN). …”
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Deep learning-based user experience evaluation in distance learning
Published 2023“…More than 160,000 tweets, addressing conditions related to the major change in the education system, were gathered from Twitter social network and deep learning-based sentiment analysis models and topic models based on latent dirichlet allocation (LDA) algorithm were developed and analyzed. …”
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Automated Deep Learning BLACK-BOX Attack for Multimedia P-BOX Security Assessment
Published 2022Subjects: -
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Navigating the Landscape of Deep Reinforcement Learning for Power System Stability Control: A Review
Published 2023Subjects: -
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A Parallel Algorithm for Inverse Halftoning and its Hardware Implementation
Published 2020“…Keywords: (1) Inverse Halftoning (2) Hardware Implementation (3) Look-Up Table Inverse Halftoning (4) Complex Programmable Logic Devices (CPLD) (5) Image Processing…”
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Deep Reinforcement Learning for Resource Constrained HLS Scheduling
Published 2022“…In this work, we present a resource constrained scheduling approach that minimizes latency and subject to resource constraints using a deep Q learning algorithm. The actions and rewards for the proposed algorithm are selected carefully to guide the agent to its objective. …”
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masterThesis