بدائل البحث:
learning algorithm » learning algorithms (توسيع البحث)
data algorithm » jaya algorithm (توسيع البحث), deer algorithm (توسيع البحث)
data learning » deep learning (توسيع البحث)
a algorithm » _ algorithms (توسيع البحث), rd algorithm (توسيع البحث), jaya algorithm (توسيع البحث)
develop a » developing a (توسيع البحث)
learning algorithm » learning algorithms (توسيع البحث)
data algorithm » jaya algorithm (توسيع البحث), deer algorithm (توسيع البحث)
data learning » deep learning (توسيع البحث)
a algorithm » _ algorithms (توسيع البحث), rd algorithm (توسيع البحث), jaya algorithm (توسيع البحث)
develop a » developing a (توسيع البحث)
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Convergence of Photovoltaic Power Forecasting and Deep Learning: State-of-Art Review
منشور في 2021"…These technologies include federated learning, deep transfer learning, incremental learning, and big data DL. …"
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123
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124
Topics in graph algorithms
منشور في 2003"…Coping with computational intractability has inspired the development of a variety of algorithmic techniques. …"
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masterThesis -
125
A Multiswarm Intelligence Algorithm for Expensive Bound Constrained Optimization Problems
منشور في 2021"…In this paper, a multiswarm-intelligence-based algorithm (MSIA) is developed to cope with bound constrained functions. …"
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126
A Modular Reconfigurable Architecture for Asymmetric and Symmetric-key Cryptographic Algorithms
منشور في 2007"…This thesis develops a reconfigurable architecture capable of implementing most symmetric-key as well as asymmetric-key ciphers. …"
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masterThesis -
127
A distributed genetic algorithm for deterministic and stochastic labor scheduling problems
منشور في 1999"…Our distributed genetic algorithm operates in parallel on a network of message-passing workstations. …"
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article -
128
Performance of artificial intelligence models in estimating blood glucose level among diabetic patients using non-invasive wearable device data
منشور في 2023"…One of the key aspects of WDs with machine learning (ML) algorithms is to find specific data signatures, called Digital biomarkers, that can be used in classification or gaging the extent of the underlying condition. …"
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129
Intelligent Bilateral Client Selection in Federated Learning Using Game Theory
منشور في 2022"…Federated Learning (FL) is a novel distributed privacy-preserving learning paradigm, which enables the collaboration among several participants (e.g., Internet of Things devices) for the training of machine learning models. …"
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masterThesis -
130
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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131
A Novel Hybrid Genetic-Whale Optimization Model for Ontology Learning from Arabic Text
منشور في 2019"…The previously published research on Arabic ontology learning from text falls into three categories: developing manually hand-crafted rules, using ordinary supervised/unsupervised machine learning algorithms, or a hybrid of these two approaches. …"
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132
A new family of multi-step quasi-Newton algorithms for unconstrained optimization
منشور في 1999"…The derivation is based on considering a rational model, with a certain tuning parameter, where the aim is to develop a general framework that encompasses all possible two-step minimum curvature algorithms generated by appropriate parameter choices. …"
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article -
133
A quantum algorithm for evolving open quantum dynamics on quantum computing devices
منشور في 2020"…<p dir="ltr">Designing quantum algorithms for simulating quantum systems has seen enormous progress, yet few studies have been done to develop quantum algorithms for open quantum dynamics despite its importance in modeling the system-environment interaction found in most realistic physical models. …"
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134
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135
Meta-Heuristic Algorithm-Tuned Neural Network for Breast Cancer Diagnosis Using Ultrasound Images
منشور في 2022"…Over the decade, numerous artificial neural network (ANN)-based techniques were adopted in order to diagnose and classify breast cancer due to the unique characteristics of learning key features from complex data via a training process. …"
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136
A Machine Learning Approach to Predicting Diabetes Complications
منشور في 2021احصل على النص الكامل
doctoralThesis -
137
Design and Implementation of an Advanced Control and Guidance Algorithm of a Single Rotor Helicopter
منشور في 2013احصل على النص الكامل
doctoralThesis -
138
Application of Red Deer Algorithm in Optimizing Complex functions
منشور في 2021"…The Red Deer algorithm (RDA), a recently developed population-based meta-heuristic algorithm, is examined in this paper with the optimization task of complex functions. …"
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139
Learning Spatiotemporal Latent Factors of Traffic via Regularized Tensor Factorization: Imputing Missing Values and Forecasting
منشور في 2019"…We propose a tensor representation for the series of road network snapshots, and develop a regularized factorization method to estimate the missing values, while learning the latent factors of the network. …"
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140
Reinforced steering Evolutionary Markov Chain for high-dimensional feature selection
منشور في 2024"…Although Evolutionary Algorithms (EAs) have shown promise in the literature for feature selection, creating EAs for high dimensions is still challenging. …"