بدائل البحث:
method algorithm » mould algorithm (توسيع البحث)
mining algorithm » cosine algorithm (توسيع البحث)
multi algorithm » mould algorithm (توسيع البحث), auction algorithm (توسيع البحث)
method algorithm » mould algorithm (توسيع البحث)
mining algorithm » cosine algorithm (توسيع البحث)
multi algorithm » mould algorithm (توسيع البحث), auction algorithm (توسيع البحث)
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61
Design of adaptive arrays based on element position perturbations
منشور في 1993"…The main advantage of using this technique over the other commonly used methods is that the amplitudes and phases of the array elements can be used mainly to steer the main beam towards the desired signal. …"
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article -
62
Multi-class subarachnoid hemorrhage severity prediction: addressing challenges in predicting rare outcomes
منشور في 2025"…Feature selection was done using a Random Forest algorithm to identify the top 20 features for the SAH severity prediction. …"
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63
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64
The Use of Microwave Tomography in Bone Healing Monitoring
منشور في 2019احصل على النص الكامل
doctoralThesis -
65
Incorporation of Robust Sliding Mode Control and Adaptive Multi-Layer Neural Network-Based Observer for Unmanned Aerial Vehicles
منشور في 2024"…Neural network-based methods tackle these problems by accurately approximating unknown nonlinearities through training on input-output data. This paper proposes an adaptive Multi-layer Neural Network (MLNN) Luenberger observer-based control for altitude and attitude tracking of a quadrotor UAV. …"
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66
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67
On the complexity of multi-parameterized cluster editing
منشور في 2017"…As a byproduct, we obtain a kernelization algorithm that delivers linear-size kernels when the two edge-edit bounds are small constants.…"
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article -
68
Correlation Clustering with Overlaps
منشور في 2020"…Moreover, we allow the new vertex splitting operation, which allows the resulting clusters to overlap. In other words, data elements (or vertices) will be allowed to be members in more than one cluster instead of limiting them to only one single cluster, as in classical clustering methods. …"
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masterThesis -
69
A Novel Genetic Algorithm Optimized Adversarial Attack in Federated Learning for Android-Based Mobile Systems
منشور في 2025"…<p dir="ltr">Federated Learning (FL) is gaining traction in Android-based consumer electronics, enabling collaborative model training across decentralized devices while preserving data privacy. However, the increasing adoption of FL in these devices exposes them to adversarial attacks that can compromise user data and device security. …"
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70
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71
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72
Oversampling techniques for imbalanced data in regression
منشور في 2024"…For such high-dimension data our approach outperforms the Synthetic Minority Oversampling Technique for Regression (SMOTER) algorithm for the IMDB-WIKI and AgeDB image datasets. …"
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73
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74
Multi-Agent Meta Reinforcement Learning for Reliable and Low-Latency Distributed Inference in Resource-Constrained UAV Swarms
منشور في 2025"…Given the complexity of the LDTP solution for managing online requests, we propose a real-time, lightweight solution using multi-agent meta-reinforcement learning. Our approach is tested on CNN networks and benchmarked against state-of-the-art conventional reinforcement learning algorithms. …"
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75
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76
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77
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78
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 -
79
A Machine Learning Approach to Predicting Diabetes Complications
منشور في 2021احصل على النص الكامل
doctoralThesis -
80
Multi Agent Reinforcement Learning Approach for Autonomous Fleet Management
منشور في 2019احصل على النص الكامل
doctoralThesis