بدائل البحث:
forest algorithm » firefly algorithm (توسيع البحث)
method algorithm » mould algorithm (توسيع البحث)
model algorithm » mould algorithm (توسيع البحث)
source model » mouse model (توسيع البحث)
select » selected (توسيع البحث)
element » elements (توسيع البحث)
forest algorithm » firefly algorithm (توسيع البحث)
method algorithm » mould algorithm (توسيع البحث)
model algorithm » mould algorithm (توسيع البحث)
source model » mouse model (توسيع البحث)
select » selected (توسيع البحث)
element » elements (توسيع البحث)
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101
Face Flow: Constrained Optical Flow Framework for Faces
منشور في 2020احصل على النص الكامل
doctoralThesis -
102
A Full-System Approach of the Elastohydrodynamic Line/Point Contact Problem
منشور في 2008"…The use of the finite element method allows the use of variable unstructured meshing and different types of elements within the same model which leads to a reduced size of the problem. …"
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article -
103
LNCRI: Long Non-Coding RNA Identifier in Multiple Species
منشور في 2021"…We applied the SHAP algorithm to demonstrate the importance of most dominating features that were leveraged in the model. …"
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104
Analysis of Multi-User-Based UAV System With Outdated CSI
منشور في 2024"…In addition, energy efficiency analysis is also performed for the considered system model. In this framework, altitude and location-dependent path loss modeling are considered for the air-to-ground links. …"
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105
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106
Analyzing Partial Shading in PV Systems Using Wavelet Packet Transform and Empirical Mode Decomposition Techniques
منشور في 2025"…The generated IMF components are then fed into the Random Forest (RF) algorithm designed for shading detection and classification. …"
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107
A novel on design and implementation of hybrid MPPT controllers for solar PV systems under various partial shading conditions
منشور في 2024"…The studied hybrid optimization MPPT methods are equated in terms of oscillations across MPP, output power extraction, settling time of the MPP, dependency on the PV modeling, operating duty value of the converter, error finding accuracy of MPPT, algorithm complexity, tracking speed, periodic tuning required, and the number of sensing parameters utilized. …"
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108
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109
Electric Vehicles Charging Station Load Forecasting Integration With Renewable Energy Using Novel Deep EfficientBiLSTMNet
منشور في 2025"…The model’s hyperparameters are optimized using an Enhanced Firefly Algorithm (EFA). …"
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110
Communications in electronic textile systems
منشور في 2017"…Abstract- Electronic textiles (e-textiles) are emerging as a novel method for constructing electronic systems in wearable and large area applications. …"
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احصل على النص الكامل
احصل على النص الكامل
conferenceObject -
111
STEM: spatial speech separation using twin-delayed DDPG reinforcement learning and expectation maximization
منشور في 2025"…Its perceptual evaluation of speech quality (PESQ) score is 0.55 points better than a self-supervised learning (SSL) model and almost equivalent to the diffusion models at computational cost and training data which is many folds lesser than required by these algorithms. …"
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112
Inferential sensing techniques in industrial applications
منشور في 0007"…System delays are obtained by approximating the model by a linear model. Genetic algorithm, which is a heuristic optimization technique, is used to ¯nd the system delays of the linear model, which are used in dynamical neural network model. …"
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masterThesis -
113
KNNOR: An oversampling technique for imbalanced datasets
منشور في 2021"…<p>Predictive performance of Machine Learning (ML) models rely on the quality of data used for training the models. …"
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114
Predictive modelling in times of public health emergencies: patients’ non-transport decisions during the COVID-19 pandemic
منشور في 2025"…</p><h3>Methods</h3><p dir="ltr">Using Python® programming language, this study employed various supervised machine-learning algorithms, including parametric probabilistic models, such as logistic regression, and non-parametric models, including decision trees, random forest (RF), extra trees, AdaBoost, and k-nearest neighbours (KNN), using a dataset of non-transported patients (refused transport and did not receive treatment versus those who refused transport and received treatment) between 2018 and 2022. …"
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115
Arabic Hotel Reviews Sentiment Analysis Using Deep Learning
منشور في 2023"…Our models utilized advanced text preprocessing, feature extraction, and classification algorithms to accurately predict sentiment polarity in Arabic hotel reviews. …"
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116
Performance Prediction Using Classification
منشور في 2019"…A comprehensive evaluation requires that multiple models with different algorithms were analyzed using key performance measures. …"
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117
An Infrastructure-Assisted Workload Scheduling for Computational Resources Exploitation in the Fog-Enabled Vehicular Network
منشور في 2020"…A Dantzig–Wolfe decomposition algorithm is proposed which yields to a master program solvable by the Barrier algorithm and subproblems solve...…"
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احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
article -
118
Thermodynamic Analysis and Optimization of Densely-Packed Receiver Assembly Components in High-Concentration CPVT Solar Collectors
منشور في 2016"…However, accurate design models and clear simulation algorithms on the component-level are critical for the proper system-level engineering and evaluation of CPVT collectors. …"
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article -
119
Strategies for Reliable Stress Recognition: A Machine Learning Approach Using Heart Rate Variability Features
منشور في 2024"…To account for limitations associated with small datasets, robust strategies were implemented based on methodological recommendations for ML with a limited dataset, including data segmentation, feature selection, and model evaluation. Our findings highlight that the random forest model achieved the best performance in distinguishing stress from non-stress states. …"
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120
Generic metadata representation framework for social-based event detection, description, and linkage
منشور في 2020"…SEDDaL consists of four main modules for: i) describing social media objects in a generic Metadata Representation Space Model (MRSM) consisting of three composite dimensions: temporal, spatial, and semantic, ii) evaluating the similarity between social media objects’ descriptions following MRSM, iii) detecting events from similar social media objects using an adapted unsupervised learning algorithm, where events are represented as clusters of objects in MRSM, and iv) identifying directional, metric, and topological relationships between events following MRSM’s dimensions. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
article