بدائل البحث:
processing algorithm » processing algorithms (توسيع البحث)
code algorithm » cosine algorithm (توسيع البحث), rd algorithm (توسيع البحث), colony algorithm (توسيع البحث)
ii algorithm » rd algorithm (توسيع البحث), _ algorithms (توسيع البحث)
experiments » experimental (توسيع البحث)
processing algorithm » processing algorithms (توسيع البحث)
code algorithm » cosine algorithm (توسيع البحث), rd algorithm (توسيع البحث), colony algorithm (توسيع البحث)
ii algorithm » rd algorithm (توسيع البحث), _ algorithms (توسيع البحث)
experiments » experimental (توسيع البحث)
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FarmTech: Regulating the use of digital technologies in the agricultural sector
منشور في 2023"…<p dir="ltr">Farming relies on the accurate collection and processing of data. Algorithms utilizing artificial intelligence can predict patterns and spot problems, helping farmers make more informed decisions. …"
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Efficient Approximate Conformance Checking Using Trie Data Structures
منشور في 2021"…Evaluation experiments with five real-world event logs show that our approach reduces the runtime of alignment construction by two orders of magnitude with a modest estimation error.…"
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A parallel search tree algorithm for vertex cover on graphical processing units. (c2013)
منشور في 2013الموضوعات: "…Trees (Graph theory) -- Data processing…"
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masterThesis -
26
A Graph Heuristic Approach for the Data Path Allocation Problem
منشور في 2022الموضوعات: "…Electronic circuits -- Data processing…"
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masterThesis -
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Correlation Clustering via s-Club Cluster Edge Deletion
منشور في 2023الموضوعات: "…Cluster analysis -- Data processing…"
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masterThesis -
29
Development of an Optimization Algorithm for Internet Data Traffic
منشور في 2020"…The algorithm monitors data repetitions in IP datagram and prepares a compression code in response of this repetition. …"
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article -
30
Scalable parallel algorithms for dynamic programming on tree decomposition. (c2017)
منشور في 2017الموضوعات: "…Trees (Graph theory) -- Data processing…"
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masterThesis -
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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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article -
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Editorial on the Special Section on Algorithms, Circuits, and Systems for Signal Processing at the Edge
منشور في 2021"…<p dir="ltr">Technological trends alongside with the unprecedented growth of the data generated by devices sparsely distributed, most of them mobile devices, cannot be supported by traditional approaches and processing systems. …"
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Practical single node failure recovery using fractional repetition codes in data centers
منشور في 2016"…FR codes consist of a concatenation of an outer maximum distance separable (MDS) code and an inner fractional repetition code that splits the data into several blocks and stores multiple replicas of each on different nodes in the system. …"
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conferenceObject -
36
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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Unsupervised Deep Learning for Classification Of Bats Calls Using Acoustic Data
منشور في 2021احصل على النص الكامل
doctoralThesis -
38
On-site workshop investment problem: A novel mathematical approach and solution procedure
منشور في 2023"…Next, due to the NP-hardness of the problem, an enhanced Genetic Algorithm (GA)-based metaheuristic with efficient problem-specific improvement rules as local search and effective crossover and mutation operators is proposed. …"
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An enhanced k-means clustering algorithm for pattern discovery in healthcare data
منشور في 2015"…The huge amounts of data generated by media sensors in health monitoring systems, by medical diagnosis that produce media (audio, video, image, and text) content, and from health service providers are too complex and voluminous to be processed and analyzed by traditional methods. …"
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article -
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A Hybrid Deep Learning Model Using CNN and K-Mean Clustering for Energy Efficient Modelling in Mobile EdgeIoT
منشور في 2023"…This research proposed a hybrid model for energy-efficient cluster formation and a head selection (E-CFSA) algorithm based on convolutional neural networks (CNNs) and a modified k-mean clustering (MKM) method for MEC. …"