بدائل البحث:
learning algorithm » learning algorithms (توسيع البحث)
method algorithm » mould algorithm (توسيع البحث)
data finding » data mining (توسيع البحث), data hiding (توسيع البحث)
learning algorithm » learning algorithms (توسيع البحث)
method algorithm » mould algorithm (توسيع البحث)
data finding » data mining (توسيع البحث), data hiding (توسيع البحث)
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Data Generation for Path Testing
منشور في 2004احصل على النص الكامل
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article -
123
Lung-EffNet: Lung cancer classification using EfficientNet from CT-scan images
منشور في 2023"…Considering these shortcomings, computational methods especially machine learning and deep learning algorithms are leveraged as an alternative to accelerate the accurate detection of CT scans as cancerous, and non-cancerous. …"
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124
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Rate Adaptation in Dynamic Adaptive Video Streaming Over HTTP
منشور في 2021احصل على النص الكامل
doctoralThesis -
126
Face Flow: Constrained Optical Flow Framework for Faces
منشور في 2020احصل على النص الكامل
doctoralThesis -
127
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128
Enhancing Building Energy Management: Adaptive Edge Computing for Optimized Efficiency and Inhabitant Comfort
منشور في 2023"…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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129
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. Recently, deep learning models have achieved state-of-the-art performance for many healthcare prediction tasks. …"
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130
Artificial Intelligence for Cochlear Implants: Review of Strategies, Challenges, and Perspectives
منشور في 2024الموضوعات: -
131
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132
Edge intelligence for network intrusion prevention in IoT ecosystem
منشور في 2023"…This paper proposes a deep learning-based algorithm to protect the network against Distributed Denial-of-Service (DDoS) attacks, insecure data flow, and similar network intrusions. …"
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133
Multimodal feature fusion and ensemble learning for non-intrusive occupancy monitoring using smart meters
منشور في 2025"…In this study, we introduce the multimodal feature fusion for non-intrusive occupancy monitoring (MMF-NIOM) framework, which leverages both classical and deep machine learning algorithms to achieve state-of-the-art occupancy detection performance using smart meter data. …"
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134
Bee Colony Algorithm for Proctors Assignment.
منشور في 2015"…This problem is intractable, and hence, heuristics algorithms are needed to find good solutions. In this paper, we propose a new solution for the proctor assignment problem based on the Bee Colony meta-heuristic algorithm. …"
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article -
135
A comparative analysis to forecast carbon dioxide emissions
منشور في 2022"…Based on multivariate time series prediction, four deep learning algorithms are analyzed in this work, those are convolution neural network (CNN), CNN long short-term memory (CNN–LSTM), long short-term memory (LSTM), and dense neural network (DNN). …"
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136
Optimal Trajectory and Positioning of UAVs for Small Cell HetNets: Geometrical Analysis and Reinforcement Learning Approach
منشور في 2023"…Then, using geometrical analysis and deep reinforcement learning (RL) method, we propose several algorithms to find the optimal trajectory and select an optimal pattern during the trajectory. …"
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137
Reinforcement Learning for Resilient Aerial-IRS Assisted Wireless Communications Networks in the Presence of Multiple Jammers
منشور في 2024"…Hence, we leverage the light-weight Deep Reinforcement Learning (DRL) technique called Deep Deterministic Policy Gradient (DDPG) to optimize trajectory and IRS phase shifts and achieve multiple objectives jointly. …"
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138
A kernelization algorithm for d-Hitting Set
منشور في 2010"…For 3-Hitting Set, an arbitrary instance is reduced into an equivalent one that contains at most 5k2+k elements. This kernelization is an improvement over previously known methods that guarantee cubic-order kernels. …"
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article -
139
Parallel genetic algorithm for disease-gene association
منشور في 2011"…In this work, we combine few successful strategies from the literature and present a parallel genetic algorithm for the Tag SNP Selection problem. Our results compared favorably with those of a recognized tag SNP selection algorithm using three different data sets from the HapMap project.…"
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conferenceObject -
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