بدائل البحث:
using algorithm » cosine algorithm (توسيع البحث)
data algorithm » jaya algorithm (توسيع البحث), deer algorithm (توسيع البحث)
finding » findings (توسيع البحث)
using algorithm » cosine algorithm (توسيع البحث)
data algorithm » jaya algorithm (توسيع البحث), deer algorithm (توسيع البحث)
finding » findings (توسيع البحث)
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Enhanced climate change resilience on wheat anther morphology using optimized deep learning techniques
منشور في 2024"…The DinoLite Microscope’s high-resolution images are used to measure the length and width of wheat anthers. …"
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223
I Will Survive: An Event-driven Conformance Checking Approach Over Process Streams
منشور في 2023"…This paper introduces a new approximate algorithm – I Will Survive (IWS). The algorithm utilizes the trie data structure to improve the calculation speed, while remaining memory-efficient. …"
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224
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225
Modified arithmetic optimization algorithm for drones measurements and tracks assignment problem
منشور في 2023"…In particular, a new modified method based on the Arithmetic Optimization Algorithm is proposed. …"
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226
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 -
227
An ant colony optimization algorithm to improve software quality prediction models
منشور في 2011"…We use an ant colony optimization algorithm in the adaptation process. …"
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article -
228
Multi-marker-LD based genetic algorithm for tag SNP selection
منشور في 2014"…The performance of the three algorithms are compared with those of a recognized tag SNP selection algorithm using three different real data sets from the HapMap project. …"
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229
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230
Convergence and steady-state analysis of the normalized least mean fourth algorithm
منشور في 2007"…Unlike the LMF algorithm, the convergence behavior of the NLMF algorithm is independent of the input data correlation statistics. …"
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231
Convergence and steady-state analysis of the normalized least mean fourth algorithm
منشور في 2007"…Unlike the LMF algorithm, the convergence behavior of the NLMF algorithm is independent of the input data correlation statistics. …"
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article -
232
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233
A Genetic Algorithm for Improving Accuracy of Software Quality Predictive Models
منشور في 2010"…In this work, we present a genetic algorithm to optimize predictive models used to estimate software quality characteristics. …"
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article -
234
Novel Peak Detection Algorithms for Pileup Minimization in Gamma Ray Spectroscopy
منشور في 2006"…This study uses the above facility in developing algorithms for digitally determining the basic pulse parameters and tackling the problem of pulse pile-up in Gamma-ray spectroscopy. …"
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235
Improved search-tree algorithms for the cluster edit problem. (c2011)
منشور في 2011احصل على النص الكامل
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masterThesis -
236
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 -
237
Wild Blueberry Harvesting Losses Predicted with Selective Machine Learning Algorithms
منشور في 2022"…The outcomes revealed that these ML algorithms can be useful in predicting ground losses during wild blueberry harvesting in the selected fields.…"
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238
Advancing Data Center Networks: A Focus on Energy and Cost Efficiency
منشور في 2023"…These topologies must incorporate fault-tolerant and efficient routing algorithms. Consequently, the data center network topology must dynamically adapt to ever-changing application requirements. …"
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239
Adapted arithmetic optimization algorithm for multi-level thresholding image segmentation: a case study of chest x-ray images
منشور في 2023"…The best thresholding values are found using various techniques, including Otsu and Kapur-based techniques. These techniques work well for bi-level thresholding, but when used to find the appropriate thresholds for multi-level thresholding, there will be issues with long calculation times, high computational costs, and the need for accuracy improvements. …"
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240