بدائل البحث:
encoding algorithm » cosine algorithm (توسيع البحث)
lacking algorithm » learning algorithms (توسيع البحث)
each algorithm » search algorithm (توسيع البحث), jaya algorithm (توسيع البحث)
element » elements (توسيع البحث)
encoding algorithm » cosine algorithm (توسيع البحث)
lacking algorithm » learning algorithms (توسيع البحث)
each algorithm » search algorithm (توسيع البحث), jaya algorithm (توسيع البحث)
element » elements (توسيع البحث)
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41
STEM: spatial speech separation using twin-delayed DDPG reinforcement learning and expectation maximization
منشور في 2025"…For stationary sources, the proposed system gives satisfactory performance in terms of quality, intelligibility, and separation speed, and generalizes well with the test data from a mismatched speech corpus. Its perceptual evaluation of speech quality (PESQ) score is 0.55 points better than a self-supervised learning (SSL) model and almost equivalent to the diffusion models at computational cost and training data which is many folds lesser than required by these algorithms. …"
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42
The Frontiers of Deep Reinforcement Learning for Resource Management in Future Wireless HetNets: Techniques, Challenges, and Research Directions
منشور في 2022"…To this end, we carefully identify the types of DRL algorithms utilized in each related work, the elements of these algorithms, and the main findings of each related work. …"
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43
Face Flow: Constrained Optical Flow Framework for Faces
منشور في 2020احصل على النص الكامل
doctoralThesis -
44
Dynamic adaptation for video streaming over mobile devices. (c2013)
منشور في 2013احصل على النص الكامل
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masterThesis -
45
Precision nutrition: A systematic literature review
منشور في 2021"…However, a systematic overview of the state-of-the-art on the use of machine learning in Precision Nutrition is lacking. Therefore, we carried out a Systematic Literature Review (SLR) to provide an overview of where and how machine learning has been used in Precision Nutrition from various aspects, what such machine learning models use as input features, what the availability status of the data used in the literature is, and how the models are evaluated. …"
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46
Multi Agent Reinforcement Learning Approach for Autonomous Fleet Management
منشور في 2019احصل على النص الكامل
doctoralThesis -
47
Improving Rule Set Based Software Quality Prediction
منشور في 2003احصل على النص الكامل
احصل على النص الكامل
article -
48
Query acceleration in distributed database systems
منشور في 2001"…Query optimization strategies aim to minimize the cost of transferring data across networks. Many techniques and algorithms have been proposed to optimize queries. …"
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article -
49
Positive Unlabelled Learning to Recognize Dishes as Named Entity
منشور في 2019"…In this research, I focus on extracting food and dish names as a named entity. With the lack of labelled data, I try to overcome the cold start and avoid manual labelling by building a lookup table from a dictionary. …"
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50
Wearable Artificial Intelligence for Anxiety and Depression: Scoping Review
منشور في 2023"…The most frequently used data set from open sources was Depresjon. The most commonly used algorithm was random forest, followed by support vector machine.…"
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51
Molecular Classification of Breast Cancer Utilizing Long Non-Coding RNA (lncRNA) Transcriptomes Identifies Novel Diagnostic lncRNA Panel for Triple-Negative Breast Cancer
منشور في 2021"…In the current study, we utilize RNA sequencing data to identify lncRNA-based biomarkers associated with TNBC, ER+ subtypes, and normal breast tissue. …"
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52
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53
A Navigation and Control System for a Robot in Indoor/Outdoor Environments
منشور في 2016احصل على النص الكامل
doctoralThesis -
54
Interpreting patient-Specific risk prediction using contextual decomposition of BiLSTMs: application to children with asthma
منشور في 2019"…<h3>Background</h3><p dir="ltr">Predictive modeling with longitudinal electronic health record (EHR) data offers great promise for accelerating personalized medicine and better informs clinical decision-making. …"
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55
A quadratic kernel for 3-set packing
منشور في 2017"…Such parameterized reductions are known as kernelization algorithms, and each reduced instance is called a problem kernel. …"
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conferenceObject -
56
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57
Barriers of Adopting Artificial Intelligence Tools in Engineering Construction Projects
منشور في 2023"…Construction data management and integration are difficult. AI algorithms depend on data for training and analysis. …"
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58
Enhancing Building Energy Management: Adaptive Edge Computing for Optimized Efficiency and Inhabitant Comfort
منشور في 2023"…Moreover, the prevalent cloud-based nature of these systems introduces elevated cybersecurity risks and substantial data transmission overheads. In response to these challenges, this article introduces a cutting-edge edge computing architecture grounded in virtual organizations, federated learning, and deep reinforcement learning algorithms, tailored to optimize energy consumption within buildings/homes and facilitate demand response. …"
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59
Single-Cell Transcriptome Analysis Revealed Heterogeneity and Identified Novel Therapeutic Targets for Breast Cancer Subtypes
منشور في 2023"…In the current study, we employed computational algorithms to decipher the cellular composition of estrogen receptor-positive (ER<sup>+</sup>), HER2<sup>+</sup>, ER<sup>+</sup>HER2<sup>+</sup>, and triple-negative BC (TNBC) subtypes from a total of 49,899 single cells’ publicly available transcriptomic data derived from 26 BC patients. …"
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60
Cyberbullying Detection in Arabic Text using Deep Learning
منشور في 2023"…Cyberbullying involves the use of communication technology and data, including messages, photographs, and videos, to undertake aggressive negative actions to harm others. …"
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