بدائل البحث:
learning algorithm » learning algorithms (توسيع البحث)
data algorithm » jaya algorithm (توسيع البحث), deer algorithm (توسيع البحث)
element » elements (توسيع البحث)
presents » present (توسيع البحث), presented (توسيع البحث)
learning algorithm » learning algorithms (توسيع البحث)
data algorithm » jaya algorithm (توسيع البحث), deer algorithm (توسيع البحث)
element » elements (توسيع البحث)
presents » present (توسيع البحث), presented (توسيع البحث)
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81
Distributed DRL-Based Downlink Power Allocation for Hybrid RF/VLC Networks
منشور في 2021"…We implement a simulation environment to benchmark the proposed distributed DRL-based method against other methods such as Q-Learning (QL) and Deep Q-Networks (DQN), and centralized heuristic power allocation algorithms. …"
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82
An ant colony optimization algorithm to improve software quality prediction models
منشور في 2011"…Method This paper presents an adaptive approach that takes already built predictive models and adapts them (one at a time) to new data. …"
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83
Test Vector Decomposition Based Static Compaction Algorithms for Combinational Circuits
منشور في 2003"…In addition, two new TVD based static compaction algorithms are presented. Experimental results for benchmark circuits demonstrate the effectiveness of the two new static compaction algorithms.…"
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84
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85
Convergence and steady-state analysis of the normalized least mean fourth algorithm
منشور في 2007"…The normalized least mean-fourth (NLMF) algorithm is presented in this work and shown to have potentially faster convergence. …"
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86
Convergence and steady-state analysis of the normalized least mean fourth algorithm
منشور في 2007"…The normalized least mean-fourth (NLMF) algorithm is presented in this work and shown to have potentially faster convergence. …"
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87
A Genetic Algorithm for Improving Accuracy of Software Quality Predictive Models
منشور في 2010"…However, these models are hard to generalize and reuse on new, unseen software as their accuracy deteriorates significantly. In this paper, we present a genetic algorithm that adapts such models to new data. …"
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88
An image processing and genetic algorithm-based approach for the detection of melanoma in patients
منشور في 2018"…The second phase classifies lesions using a Genetic Algorithm. Our technique shows a significant improvement over other well-known algorithms and proves to be more stable on both training and testing data.…"
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89
The buffered work-pool approach for search-tree based optimization algorithms
منشور في 2017"…Recent advances in algorithm design have shown a growing interest in seeking exact solutions to many hard problems. …"
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conferenceObject -
90
The unified effect of data encoding, ansatz expressibility and entanglement on the trainability of HQNNs
منشور في 2023"…One of the prominent challenges lies in the presence of barren plateaus (BP) in QML algorithms, particularly in quantum neural networks (QNNs). …"
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91
Learning-Based Automatic Modulation Classification
منشور في 2015احصل على النص الكامل
doctoralThesis -
92
XBeGene: Scalable XML Documents Generator by Example Based on Real Data
منشور في 2012"…Inspired by the query-by-example paradigm in information retrieval, Our generator system i)allows the user to provide her own sample XML documents as input, ii) analyzes the structure, occurrence frequencies, and content distributions for each XML element in the user input documents, and iii) produces synthetic XML documents which closely concur, in both structural and content features, to the user's input data. …"
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conferenceObject -
93
Using machine learning algorithm for detection of cyber-attacks in cyber physical systems
منشور في 2022"…We begin a process to cleaning up the data in the CPS database by applying normalization to eliminate errors and duplication. …"
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94
RHEEMix in the data jungle: a cost-based optimizer for cross-platform systems.
منشور في 2020"…Our main contributions are: (i) a mechanism based on graph transformations to explore alternative execution strategies; (ii) a novel graph-based approach to determine efficient data movement plans among subtasks and platforms; and (iii) an efficient plan enumeration algorithm, based on a novel enumeration algebra. …"
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95
BioNetApp: An interactive visual data analysis platform for molecular expressions
منشور في 2019"…BioNetApp also provides data clustering based on molecular concentrations using Self Organizing Maps (SOM), K-Means, K-Medoids, and Farthest First algorithms.…"
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96
A data envelopment analysis model for opinion leaders’ identification in social networks
منشور في 2024"…Consequently, a new application of the Data Envelopment Analysis (DEA) method is presented here for OLs identification in social media. …"
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97
Artificial intelligence-based methods for fusion of electronic health records and imaging data
منشور في 2022"…In our analysis, a typical workflow was observed: feeding raw data, fusing different data modalities by applying conventional machine learning (ML) or deep learning (DL) algorithms, and finally, evaluating the multimodal fusion through clinical outcome predictions. …"
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98
A flexible genetic algorithm-fuzzy regression approach for forecasting: The case of bitumen consumption
منشور في 2019"…Findings Production, import, export, road construction and price are considered as the input data used in the present study. It was concluded that, among all the forecasting methods used in this study, GA was the best method for estimating. …"
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99
A novel method for the detection and classification of multiple diseases using transfer learning-based deep learning techniques with improved performance
منشور في 2024"…Hence, in this study, deep learning algorithms, such as VGG16, EfficientNetB4, and ResNet, are utilized to diagnose various diseases, such as Alzheimer's, brain tumors, skin diseases, and lung diseases. …"
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100
Joint energy-distortion aware algorithms for cooperative video streaming over LTE networks
منشور في 2013"…A multi-objective problem for energy and distortion minimization is formulated and an energy-efficient, quality of service (QoS) aware suboptimal approach is presented for collaborative video transmission. In the proposed approach, mobiles are grouped into collaborative clusters using a low-complexity clustering algorithm. …"
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article