بدائل البحث:
encoding algorithm » cosine algorithm (توسيع البحث)
element » elements (توسيع البحث)
mould » could (توسيع البحث), would (توسيع البحث), mold (توسيع البحث)
encoding algorithm » cosine algorithm (توسيع البحث)
element » elements (توسيع البحث)
mould » could (توسيع البحث), would (توسيع البحث), mold (توسيع البحث)
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Multi-Objective Optimisation of Injection Moulding Process for Dashboard Using Genetic Algorithm and Type-2 Fuzzy Neural Network
منشور في 2024"…Additionally, the multi-objective genetic algorithm (MOGA) was utilised to extract the most optimal parameters for the injection moulding process, aiming to minimise shear and residual stress and thereby increase the resistance of the final product. …"
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Efficient Approximate Conformance Checking Using Trie Data Structures
منشور في 2021الموضوعات: "…Estimation error,Runtime,Computational modeling,Data structures,Approximation algorithms,Encoding,Computational efficiency…"
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The unified effect of data encoding, ansatz expressibility and entanglement on the trainability of HQNNs
منشور في 2023"…We focus on the combined influence of data encoding, qubit entanglement, and ansatz expressibility in hybrid quantum neural networks (HQNNs) for multi-class classification tasks. …"
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Teaching–learning-based optimization algorithm: analysis study and its application
منشور في 2024الموضوعات: "…Teaching–learning-based optimization algorithm…"
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6
Optimization of Interval Type-2 Fuzzy Logic System Using Grasshopper Optimization Algorithm
منشور في 2022"…Tuning of the consequent part parameters are accomplished using extreme learning machine. The optimized IT2-FLS (GOAIT2FELM) obtained the optimal premise parameters based on tuned consequent part parameters and is then applied on the Australian national electricity market data for the forecasting of electricity loads and prices. …"
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Multimodal EEG and Keystroke Dynamics Based Biometric System Using Machine Learning Algorithms
منشور في 2021"…We also developed a binary template matching-based algorithm, which gives 93.64% accuracy 6X faster. …"
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Power System Transient Stability Assessment Based on Machine Learning Algorithms and Grid Topology
منشور في 2023"…In this study, the emergency control algorithms based on ensemble machine learning algorithms (XGBoost and Random Forest) were developed for a low-inertia power system. …"
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AI and IoT-based concrete column base cover localization and degradation detection algorithm using deep learning techniques
منشور في 2023"…This paper proposes a novel automated algorithm for the health monitoring of concrete column base cover degradation based on IoT and the state-of-the-art deep learning framework, Convolutional Neural Network (CNN). …"
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A Novel Genetic Algorithm Optimized Adversarial Attack in Federated Learning for Android-Based Mobile Systems
منشور في 2025"…<p dir="ltr">Federated Learning (FL) is gaining traction in Android-based consumer electronics, enabling collaborative model training across decentralized devices while preserving data privacy. …"
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TIDCS: A Dynamic Intrusion Detection and Classification System Based Feature Selection
منشور في 2020"…TIDCS reduces the number of features in the input data based on a new algorithm for feature selection. Initially, the features are grouped randomly to increase the probability of making them participating in the generation of different groups, and sorted based on their accuracy scores. …"
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Exploring Semi-Supervised Learning Algorithms for Camera Trap Images
منشور في 2022احصل على النص الكامل
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Optimal selection of the forgetting matrix into an iterative learning control algorithm
منشور في 2005"…A recursive optimal algorithm, based on minimizing the input error covariance matrix, is derived to generate the optimal forgetting matrix and the learning gain matrix of a P-type iterative learning control (ILC) for linear discrete-time varying systems with arbitrary relative degree. …"
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Deep learning-based user experience evaluation in distance learning
منشور في 2023"…More than 160,000 tweets, addressing conditions related to the major change in the education system, were gathered from Twitter social network and deep learning-based sentiment analysis models and topic models based on latent dirichlet allocation (LDA) algorithm were developed and analyzed. …"