بدائل البحث:
method algorithm » mould algorithm (توسيع البحث)
data algorithm » jaya algorithm (توسيع البحث), deer algorithm (توسيع البحث)
tracking » training (توسيع البحث), taking (توسيع البحث)
method algorithm » mould algorithm (توسيع البحث)
data algorithm » jaya algorithm (توسيع البحث), deer algorithm (توسيع البحث)
tracking » training (توسيع البحث), taking (توسيع البحث)
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81
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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82
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83
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. …"
article -
84
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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article -
85
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 -
86
A method for optimizing test bus assignment and sizing for system-on-a-chip
منشور في 2017"…We present experimental results that demonstrate the effectiveness of our method while outperforming reported techniques.…"
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conferenceObject -
87
Assessment of static pile design methods and non-linear analysis of pile driving
منشور في 2006"…The pile/soil interaction system is described by a mass/spring/dashpot system where the properties of each component are derived from rigorous analytical solutions or finite element analysis. The outcome of this research is an algorithm that can be used to predict pile displacement and driving stresses. …"
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masterThesis -
88
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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89
Using machine learning algorithm for detection of cyber-attacks in cyber physical systems
منشور في 2022"…We present the new framework for the detection of cyberattacks, which makes use of AI and ML. …"
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90
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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91
A New Hamiltonian Semi-Analytical Approach to Vibration Analysis of Piezoelectric Multi-Layered Plates
منشور في 2024"…The whole piezoelectric multilayered plate’s dynamic stiffness is then built, from which its circular frequencies are computed with the help of the Wittrick-Williams algorithm. A detailed discussion is provided on the implementation aspects, followed by some numerical examples to assess the robustness, accuracy and effectiveness of the proposed method. …"
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92
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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93
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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94
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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95
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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article -
96
Practical single node failure recovery using fractional repetition codes in data centers
منشور في 2016"…Hence, a practical solution for node failures is presented by using a self-designed genetic algorithm that searches within the feasible solution space. …"
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conferenceObject -
97
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 -
98
SemIndex+: A semantic indexing scheme for structured, unstructured, and partly structured data
منشور في 2018"…This paper describes SemIndex+, a semantic-aware indexing and querying framework that allows semantic search, result selection, and result ranking of structured (relational DB-style), unstructured (IR-style), and partly structured (NoSQL) data. Various weighting functions and a parallelized search algorithm have been developed for that purpose and are presented here. …"
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article -
99
Minimizing Deadline Misses of Mobile IoT Requests in a Hybrid Fog- Cloud Computing Environment
منشور في 2019احصل على النص الكامل
doctoralThesis -
100
K Nearest Neighbor OveRsampling approach: An open source python package for data augmentation
منشور في 2022"…<p>Data is present in abundance, but the problem of imbalanced dataset crops up time and again, vexing classifiers and reducing accuracy. …"