بدائل البحث:
dbscan clustering » data clustering (توسيع البحث)
adding algorithm » cosine algorithm (توسيع البحث)
data algorithm » jaya algorithm (توسيع البحث), deer algorithm (توسيع البحث)
dbscan clustering » data clustering (توسيع البحث)
adding algorithm » cosine algorithm (توسيع البحث)
data algorithm » jaya algorithm (توسيع البحث), deer algorithm (توسيع البحث)
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1
A Survey of Data Clustering Techniques
منشور في 2023"…This survey examines seven widely recognized clustering techniques, namely k-means, G-means, DBSCAN, Agglomerative hierarchical clustering, Two-stage density (DBSCAN and k-means) algorithm, Two-levels (DBSCAN and hierarchical) clustering algorithm, and Two-stage MeanShift and K-means clustering algorithm and compares them over a real dataset - The Blockchain dataset, including prominent cryptocurrencies like Binance, Bitcoin, Doge, and Ethereum, under several metrics such as silhouette coefficient, Calinski-Harabasz, Davies-Bouldin Index, time complexity, and entropy.…"
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masterThesis -
2
Bird’s Eye View feature selection for high-dimensional data
منشور في 2023"…BEV incorporates elements of Evolutionary Algorithms with a Genetic Algorithm to maintain a population of top-performing agents, Dynamic Markov Chain to steer the movement of agents in the search space, and Reinforcement Learning to reward and penalize agents based on their progress. …"
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3
Cooperative clustering models for Vehicular ad hoc networks. (c2013)
منشور في 2013احصل على النص الكامل
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masterThesis -
4
Particle swarm optimization algorithm: review and applications
منشور في 2024"…Particle swarm optimization (PSO) is a heuristic global optimization technique and an optimization algorithm that is swarm intelligence-based. It is based on studies into the movement of bird flocks. …"
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5
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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6
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7
Towards Scalable Process Mining Pipelines
منشور في 2023"…Contributions have covered the spectrum of better algorithms, richer comparison metrics, and movement towards online analysis for process data. …"
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8
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9
Accommodating High Penetrations of Renewable Distributed Generation Mix in Smart Grids
منشور في 2017احصل على النص الكامل
doctoralThesis -
10
A Stochastic Newton-Raphson Method with Noisy Function Measurements
منشور في 2016"…The development of the proposed optimal algorithm is based on minimizing a stochastic performance index. …"
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article -
11
Real-Time Path-Planning using Depth/INS Sensor Fusion for Localization
منشور في 2019احصل على النص الكامل
doctoralThesis -
12
Design of A Theoretical Framework For A Real-Time Fire Evacuation Guidance System
منشور في 2020احصل على النص الكامل
doctoralThesis -
13
Solar power forecasting beneath diverse weather conditions using GD and LM-artificial neural networks
منشور في 2023"…A case study has been done in the Peer Panjal region. The data collected for four months with various parameters have been applied randomly as input data using GD and LM type of artificial neural network compared to actual solar energy data. …"
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14
Blood Glucose Regulation Modelling and Intelligent Control
منشور في 2024احصل على النص الكامل
doctoralThesis -
15
Privacy-Preserving Fog Aggregation of Smart Grid Data Using Dynamic Differentially-Private Data Perturbation
منشور في 2022"…We propose a differentially-private model that perturbs data by adding noise obtained from a virtual chargeable battery, while maintaining billing accuracy. …"
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16
KNNOR: An oversampling technique for imbalanced datasets
منشور في 2021"…To overcome these problems, this article proposes an advanced algorithm by studying the compactness and location of the minority class relative to other classes. …"
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17
Automated skills assessment in open surgery: A scoping review
منشور في 2025"…The assessment input for the automation algorithms were predominantly hand movement. Around 37.5 % (<i>n </i>= 15) of the studies assessed algorithm performance using classification accuracy. …"
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18
Performance Analysis of Artificial Neural Networks in Forecasting Financial Time Series
منشور في 2013احصل على النص الكامل
doctoralThesis -
19
Virtualizing and Scheduling FPGA Resources in Cloud Computing Datacenters
منشور في 2021احصل على النص الكامل
doctoralThesis -
20
Transformations for Variants of the Travelling Salesman Problem and Applications
منشور في 2017احصل على النص الكامل
doctoralThesis