بدائل البحث:
setting algorithm » scheduling algorithm (توسيع البحث)
method algorithm » mould algorithm (توسيع البحث)
using algorithm » cosine algorithm (توسيع البحث)
setting algorithm » scheduling algorithm (توسيع البحث)
method algorithm » mould algorithm (توسيع البحث)
using algorithm » cosine algorithm (توسيع البحث)
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221
IntruSafe: a FCNN-LSTM hybrid IoMT intrusion detection system for both string and 2D-spatial data using sandwich architecture
منشور في 2025"…The IoMT manufacturers need to offer their products at a competitive price, which forces them to use simplified architecture, leaving limited and, to some extent, no scope to employ sophisticated cybersecurity algorithms. …"
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222
A comparison of optimization heuristics for the data mapping problem
منشور في 1997"…In this paper we compare the performance of six heuristics with suboptimal solutions for the data mapping problem of two dimensional meshes that are used for the numerical solution of Partial Differential Equations(PDEs) on multicomputers. …"
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223
Data redundancy management for leaf-edges in connected environments
منشور في 2022"…Although the sensed data could be useful for various applications (e.g., event detection in cities, energy management in commercial buildings), it first requires pre-processing to clean various inconsistencies (e.g., anomalies, redundancies, missing values). …"
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224
Correlation Clustering via s-Club Cluster Edge Deletion
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masterThesis -
225
Time-varying volatility model equipped with regime switching factor: valuation of option price written on energy futures
منشور في 2025"…To determine the parameters of the regime switching model and identify when economic states change, we employ the EM algorithm, utilizing real gas futures price data. We validate our closed-form solution for the option pricing through simulations employing the generalized antithetic variates Monte-Carlo technique. …"
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226
A fast exact sequential algorithm for the partial digest problem
منشور في 2016"…Two types of simulated data, random and Zhang, are used to measure the efficiency of the algorithm. …"
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227
Synthesis of MVL Functions - Part I: The Genetic Algorithm Approach
منشور في 2006"…The algorithm is tested using 200 randomly generated 2-variable 4-valued functions. …"
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228
Simulated annealing and genetic algorithms for exam scheduling. (c1997)
منشور في 1997احصل على النص الكامل
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masterThesis -
229
Second-order conic programming for data envelopment analysis models
منشور في 2022"…Data envelopment analysis (DEA) is a widely used benchmarking technique. …"
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230
A Scatter search algorithm for exam scheduling. (c2006)
منشور في 2006احصل على النص الكامل
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masterThesis -
231
Big Data Energy Management, Analytics and Visualization for Residential Areas
منشور في 2020"…A high-speed distributed computing cluster based on commodity hardware with efficient big data mathematical algorithm is employed in this work. …"
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232
Deep Learning-Based Short-Term Load Forecasting Approach in Smart Grid With Clustering and Consumption Pattern Recognition
منشور في 2021"…Whilst different models are proposed for STLF, they are based on small historical datasets and are not scalable to process large amounts of big data as energy consumption data grow exponentially in large electric distribution networks. …"
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233
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234
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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235
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236
Evolutionary algorithms for state justification in sequential automatic test pattern generation
منشور في 2005"…A common search operation in sequential Automatic Test Pattern Generation is to justify a desired state assignment on the sequential elements. State justification using deterministic algorithms is a difficult problem and is prone to many backtracks, which can lead to high execution times. …"
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237
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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238
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239
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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240
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