بدائل البحث:
learning algorithm » learning algorithms (توسيع البحث)
method algorithm » mould algorithm (توسيع البحث)
using algorithm » cosine algorithm (توسيع البحث)
pooled using » problem using (توسيع البحث), tool using (توسيع البحث), tools using (توسيع البحث)
element » elements (توسيع البحث)
learning algorithm » learning algorithms (توسيع البحث)
method algorithm » mould algorithm (توسيع البحث)
using algorithm » cosine algorithm (توسيع البحث)
pooled using » problem using (توسيع البحث), tool using (توسيع البحث), tools using (توسيع البحث)
element » elements (توسيع البحث)
-
1
-
2
-
3
Leveraging Machine and Deep Learning Algorithms for hERG Blocker Prediction
منشور في 2025"…The application of machine learning (ML) and deep learning (DL) models in the field of toxicity has gained burgeoning interest. …"
-
4
-
5
Classifying Maqams of Qur'anic Recitations Using Deep Learning
منشور في 2021الموضوعات: "…Deep learning…"
احصل على النص الكامل
article -
6
Exploring Semi-Supervised Learning Algorithms for Camera Trap Images
منشور في 2022احصل على النص الكامل
doctoralThesis -
7
Content-Aware Adaptive Video Streaming Using Actor-Critic Deep Reinforcement Learning
منشور في 2024احصل على النص الكامل
doctoralThesis -
8
MLMRS-Net: Electroencephalography (EEG) motion artifacts removal using a multi-layer multi-resolution spatially pooled 1D signal reconstruction network
منشور في 2022"…Because the diagnosis of many neurological diseases is heavily reliant on clean EEG data, it is critical to eliminate motion artifacts from motion-corrupted EEG signals using reliable and robust algorithms. Although a few deep learning-based models have been proposed for the removal of ocular, muscle, and cardiac artifacts from EEG data to the best of our knowledge, there is no attempt has been made in removing motion artifacts from motion-corrupted EEG signals: In this paper, a novel 1D convolutional neural network (CNN) called multi-layer multi-resolution spatially pooled (MLMRS) network for signal reconstruction is proposed for EEG motion artifact removal. …"
-
9
A systematic review of text classification research based on deep learning models in Arabic language
منشور في 2020"…Our results provide some findings regarding how deep learning models can be used to improve text classification research in Arabic language.…"
احصل على النص الكامل
احصل على النص الكامل
-
10
-
11
AI and IoT-based concrete column base cover localization and degradation detection algorithm using deep learning techniques
منشور في 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). …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
article -
12
Deep learning-based user experience evaluation in distance learning
منشور في 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. …"
-
13
-
14
Automated Deep Learning BLACK-BOX Attack for Multimedia P-BOX Security Assessment
منشور في 2022الموضوعات: -
15
Navigating the Landscape of Deep Reinforcement Learning for Power System Stability Control: A Review
منشور في 2023الموضوعات: -
16
-
17
Deep Reinforcement Learning for Resource Constrained HLS Scheduling
منشور في 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. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
masterThesis -
18
Video surveillance using deep transfer learning and deep domain adaptation: Towards better generalization
منشور في 2023"…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. …"
-
19
Cyberbullying Detection in Arabic Text using Deep Learning
منشور في 2023"…Data-driven approaches, such as machine learning (ML), particularly deep learning (DL), have shown promising results. …"
احصل على النص الكامل
-
20