بدائل البحث:
encoding algorithm » finding algorithm (توسيع البحث), cosine algorithm (توسيع البحث)
backing algorithm » tracking algorithm (توسيع البحث), making algorithm (توسيع البحث), tracking algorithms (توسيع البحث)
method algorithm » network algorithm (توسيع البحث), means algorithm (توسيع البحث), mean algorithm (توسيع البحث)
elements method » element method (توسيع البحث)
data encoding » data including (توسيع البحث), data according (توسيع البحث), data recording (توسيع البحث)
encoding algorithm » finding algorithm (توسيع البحث), cosine algorithm (توسيع البحث)
backing algorithm » tracking algorithm (توسيع البحث), making algorithm (توسيع البحث), tracking algorithms (توسيع البحث)
method algorithm » network algorithm (توسيع البحث), means algorithm (توسيع البحث), mean algorithm (توسيع البحث)
elements method » element method (توسيع البحث)
data encoding » data including (توسيع البحث), data according (توسيع البحث), data recording (توسيع البحث)
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Evaluating the Efficacy of Different Machine Learning Methods to Classify Cancer Data.
منشور في 2025الموضوعات: -
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Predictive factors affecting hepatitis patients survival results via application of the machine learning methods
منشور في 2025"…Machine learning models help predict hepatitis risks using patient data, symptoms, and history. This study used Decision Tree Classification (DTC) and Extreme Gradient Boosting Classification (XGBC) with three optimizers Rhizotomy Optimization Algorithm (ROA), Gold Rush Optimizer (GRO), and Motion-Encoded Electric Charged Particles Optimization Algorithm (MEPO) to enhance accuracy. …"
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Polishing experimental data (<i>μ<i>m</i></i>).
منشور في 2025"…The improved Dung Beetle Optimization algorithm, Back Propagation Neural Network, Finite Element Analysis, and Response Surface Methodology provide a strong guarantee for the selection of robot polishing process parameters. …"
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Secure MANET routing with blockchain-enhanced latent encoder coupled GANs and BEPO optimization
منشور في 2025"…The performance of the proposed LEGAN-BEPO-BCMANET technique attains 29.786%, 19.25%, 22.93%, 27.21%, 31.02%, 26.91%, and 25.61% greater throughput, compared to existing methods like Blockchain-based BATMAN protocol utilizing MANET with an ensemble algorithm (BATMAN-MANET), Block chain-based trusted distributed routing scheme with optimized dropout ensemble extreme learning neural network in MANET (DEELNN-MANET), A secured trusted routing utilizing structure of a new directed acyclic graph-blockchain in MANET internet of things environment (DAG-MANET), An Optimized Link State Routing Protocol with Blockchain Framework for Efficient Video-Packet Transmission and Security over MANET (OLSRP-MANET), Auto-metric Graph Neural Network based Blockchain Technology for Protected Dynamic Optimum Routing in MANET (AGNN-MANET) and Data security-based routing in MANETs under key management process (DSR-MANET) respectively.…"
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Comparative Evaluation of Convergence Rates: LSTM-GA and NARX vs Benchmark Models.
منشور في 2025الموضوعات: -
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