New Algorithms for Deep Learning Machines حسب unknown

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Leveraging Machine and Deep Learning Algorithms for hERG Blocker Prediction حسب Syed Mohammad (21075689)

"…The application of machine learning (ML) and deep learning (DL) models in the field of toxicity has gained burgeoning interest. …"

Comparative Analysis of Supervised Machine and Deep Learning Algorithms for Kyphosis Disease Detection حسب Alok Singh Chauhan (8264985)

Classifying Maqams of Qur'anic Recitations Using Deep Learning حسب Shahriar, Sakib

الموضوعات: "…Deep learning…"
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Exploring Semi-Supervised Learning Algorithms for Camera Trap Images حسب Sajun, Ali Reza

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Bird’s Eye View feature selection for high-dimensional data حسب Samir Brahim Belhaouari (16855434)

"…This approach is inspired by the natural world, where a bird searches for important features in a sparse dataset, similar to how a bird search for sustenance in a sprawling jungle. BEV incorporates elements of Evolutionary Algorithms with a Genetic Algorithm to maintain a population of top-performing agents, Dynamic Markov Chain to steer the movement of agents in the search space, and Reinforcement Learning to reward and penalize agents based on their progress. …"

Content-Aware Adaptive Video Streaming Using Actor-Critic Deep Reinforcement Learning حسب Amer, Hala Nagi

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A systematic review of text classification research based on deep learning models in Arabic language حسب Wahdan, Ahlam

"…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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Wind, Solar, and Photovoltaic Renewable Energy Systems with and without Energy Storage Optimization: A Survey of Advanced Machine Learning and Deep Learning Techniques حسب Abu Zitar, Raed

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On the Optimization of Band Gaps in Periodic Waveguides حسب Jamil Renno (14070771)

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AI and IoT-based concrete column base cover localization and degradation detection algorithm using deep learning techniques حسب Khalid, Naji

"…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 حسب Rahim Sadigov (17714301)

"…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. …"

USER ASSOCIATION IN HYBRID VLC/RF CELL-FREE MASSIVE MIMO SYSTEMS VIA ITERATIVE ALGORITHMS AND DEEP REINFORCEMENT LEARNING حسب unknown

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Automated Deep Learning BLACK-BOX Attack for Multimedia P-BOX Security Assessment حسب Zakaria Tolba (16904718)

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Navigating the Landscape of Deep Reinforcement Learning for Power System Stability Control: A Review حسب Mohamed Sadok Massaoudi (17984071)

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A Hybrid Deep Learning Model Using CNN and K-Mean Clustering for Energy Efficient Modelling in Mobile EdgeIoT حسب Dhananjay Bisen (19482454)

الموضوعات:

Deep Reinforcement Learning for Resource Constrained HLS Scheduling حسب Makhoul, Rim

"…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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Video surveillance using deep transfer learning and deep domain adaptation: Towards better generalization حسب Yassine Himeur (14158821)

"…While artificial intelligence (AI) smooths the path of computers to think like humans, machine learning (ML) and deep learning (DL) pave the way more, even by adding training and learning components. …"

Cyberbullying Detection in Arabic Text using Deep Learning حسب ALBAYARI, REEM RAMADAN SA’ID

"…Data-driven approaches, such as machine learning (ML), particularly deep learning (DL), have shown promising results. …"
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Hybrid Deep Learning-based Models for Crop Yield Prediction حسب Alexandros Oikonomidis (12050497)

"…In this study, we developed deep learning-based models to evaluate how the underlying algorithms perform with respect to different performance criteria. …"