بدائل البحث:
method algorithm » mould algorithm (توسيع البحث)
other algorithms » deer algorithm (توسيع البحث)
code algorithm » cosine algorithm (توسيع البحث), rd algorithm (توسيع البحث), colony algorithm (توسيع البحث)
element » elements (توسيع البحث)
method algorithm » mould algorithm (توسيع البحث)
other algorithms » deer algorithm (توسيع البحث)
code algorithm » cosine algorithm (توسيع البحث), rd algorithm (توسيع البحث), colony algorithm (توسيع البحث)
element » elements (توسيع البحث)
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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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A Fast and Robust Gas Recognition Algorithm Based on Hybrid Convolutional and Recurrent Neural Network
منشور في 2019"…Featuring the capability of learning the correlations of time-series data, the proposed deep learning method is well-suited for extracting the valuable transient feature contained in the very beginning of the response curve. …"
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UniBFS: A novel uniform-solution-driven binary feature selection algorithm for high-dimensional data
منشور في 2024"…UniBFS exploits the inherent characteristic of binary algorithms-binary coding-to search the entire problem space for identifying relevant features while avoiding irrelevant ones. …"
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Data Embedding in HEVC Video by Modifying the Partitioning of Coding Units
منشور في 2019الموضوعات: احصل على النص الكامل
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Predicting Patient ICU Readmission Using Recurrent Neural Networks With Long Short-Term Memory
منشور في 2025الموضوعات: -
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Bird’s Eye View feature selection for high-dimensional data
منشور في 2023"…This approach is inspired by the natural world, where a bird searches for important features in a sparse dataset, similar to how a bird search for sustenance in a sprawling jungle. 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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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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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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Allocating data to distributed-memory multiprocessors by genetic algorithms
منشور في 2016"…We present three genetic algorithms (GAs) for allocating irregular data sets to multiprocessors. …"
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احصل على النص الكامل
احصل على النص الكامل
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A neural networks algorithm for data path synthesis
منشور في 2003"…This paper presents a deterministic parallel algorithm to solve the data path allocation problem in high-level synthesis. …"
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احصل على النص الكامل
احصل على النص الكامل
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Data damage assessment and recovery algorithm from malicious attacks in healthcare data sharing systems
منشور في 2016"…We compare our algorithm with other approaches and show the performance results.…"
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احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
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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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احصل على النص الكامل
احصل على النص الكامل
conferenceObject -
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General applicability of genetic and simulated annealing algorithms for data mapping
منشور في 1995"…We experimentally analyze the general applicability of genetic algorithms (GA) and simulated annealing algorithms (SA) for mapping data to multicomputers. …"
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احصل على النص الكامل
احصل على النص الكامل
conferenceObject -
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Properties of simulated annealing and genetic algorithms for mapping data to multicomputers
منشور في 1997"…Some user parameters are included in the objective function and are architecture- or problem-dependent parameters. The others are used in the GA and SA algorithms. The fault tolerance capability is demonstrated by mapping data to a multicomputer with some faulty processors. …"
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احصل على النص الكامل
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Efficient Dynamic Cost Scheduling Algorithm for Data Batch Processing
منشور في 2016احصل على النص الكامل
doctoralThesis -
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A Genetic Algorithm for Improving Accuracy of Software Quality Predictive Models
منشور في 2010"…In this paper, we present a genetic algorithm that adapts such models to new data. We give empirical evidence illustrating that our approach out-beats the machine learning algorithm C4.5 and random guess.…"
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احصل على النص الكامل
احصل على النص الكامل
article