بدائل البحث:
method algorithm » mould algorithm (توسيع البحث)
using algorithms » cosine algorithm (توسيع البحث)
ipca algorithm » jaya algorithm (توسيع البحث)
level using » level fusion (توسيع البحث)
method algorithm » mould algorithm (توسيع البحث)
using algorithms » cosine algorithm (توسيع البحث)
ipca algorithm » jaya algorithm (توسيع البحث)
level using » level fusion (توسيع البحث)
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101
Developing a UAE-Based Disputes Prediction Model using Machine Learning
منشور في 2022احصل على النص الكامل
doctoralThesis -
102
Design Optimization of Inductive Power Transfer Systems Considering Bifurcation and Equivalent AC Resistance for Spiral Coils
منشور في 2020"…Equivalent AC resistance of spiral coils is modeled based on eddy currents simulations using Finite Element Method (FEM) and Maxwell simulator. Based on the FEM simulations, a new approximation method using separation of variables is proposed as a function of spiral coil's main parameters. …"
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103
Using artificial intelligence to improve body iron quantification: A scoping review
منشور في 2023"…The search revealed a wide range of machine learning algorithms used by different studies. Notably, most studies used a single data type. …"
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104
Modeling of Chlorophyll-a and Eutrophication Indicators in the Dubai Creek Area using Remote Sensing
منشور في 2015احصل على النص الكامل
doctoralThesis -
105
Diabetic Sensorimotor Polyneuropathy Severity Classification Using Adaptive Neuro Fuzzy Inference System
منشور في 2021"…The proposed classifier was used to classify the Epidemiology of Diabetes Interventions and Complications (EDIC) clinical trial patients and observed that in the first, eighth, and nineteenth EDIC years 18.31%, 39.45%, and 59.14% patients had different levels of DSPN. …"
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106
Development of an Optimization Scheme for A Fixed-Wing UAV Long Endurance with PEMFC and Battery
منشور في 2018احصل على النص الكامل
doctoralThesis -
107
Enhancing Breast Cancer Diagnosis With Bidirectional Recurrent Neural Networks: A Novel Approach for Histopathological Image Multi-Classification
منشور في 2025"…<p dir="ltr">In recent years, deep learning methods have dramatically improved medical image analysis, though earlier models faced difficulties in capturing intricate spatial and contextual details. …"
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108
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109
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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110
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111
Crashworthiness optimization of composite hexagonal ring system using random forest classification and artificial neural network
منشور في 2024"…Advanced machine learning algorithms are used in this study to figure out the complicated relationship between the crashworthiness parameters of the hexagonal composite ring specimens under lateral compressive, energy absorption, and failure modes. …"
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112
On the exact recovery of the FFT of noisy signals using a non-subtractively dither-quantized input channel
منشور في 2003"…Through several algorithmic changes, the FFT and its variants have not only breathed a new lease of life into an otherwise latent classical DFT algorithm but also led to an explosion of applications in numerous areas. …"
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احصل على النص الكامل
article -
113
Analyzing Partial Shading in PV Systems Using Wavelet Packet Transform and Empirical Mode Decomposition Techniques
منشور في 2025"…In the first stage, the WPT is used to split the PV voltage and string currents into specific sub-band frequencies, and then EMD is used to decompose the selected frequency bands into a number of intrinsic mode functions (IMFs) and a residual. …"
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114
Interpreting patient-Specific risk prediction using contextual decomposition of BiLSTMs: application to children with asthma
منشور في 2019"…We extend the method to bidirectional LSTMs (BiLSTMs) and use it in the context of predicting future clinical outcomes using patients’ EHR historical visits.…"
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115
Using Educational Data Mining Techniques in Predicting Grade-4 students’ performance in TIMSS International Assessments in the UAE
منشور في 2018"…The main purpose is to bridge the gap between EDM and International Assessments in the Arab world by applying EDM to predict Grade-4 student levels in TIMSS assessments in the UAE. We examined different feature selection methods and classification algorithms to find the best prediction model with the highest accuracy. …"
احصل على النص الكامل
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116
Assessment of calcified aortic valve leaflet deformations and blood flow dynamics using fluid-structure interaction modeling
منشور في 2017"…However, implementation of this approach is difficult using custom built codes and algorithms. In this paper, we present an FSI modeling methodology for aortic valve hemodynamics using a commercial modeling software, ANSYS. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
article -
117
Assessment of calcified aortic valve leaflet deformations and blood flow dynamics using fluid-structure interaction modeling
منشور في 2017"…However, implementation of this approach is difficult using custom built codes and algorithms. In this paper, we present an FSI modeling methodology for aortic valve hemodynamics using a commercial modeling software, ANSYS. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
article -
118
Predicting long-term type 2 diabetes with support vector machine using oral glucose tolerance test
منشور في 2019"…Furthermore, personal information such as age, ethnicity and body-mass index was also a part of the data-set. Using 11 OGTT measurements, we have deduced 61 features, which are then assigned a rank and the top ten features are shortlisted using minimum redundancy maximum relevance feature selection algorithm. …"
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119
Deep Learning-Based Short-Term Load Forecasting Approach in Smart Grid With Clustering and Consumption Pattern Recognition
منشور في 2021"…<p>Different aggregation levels of the electric grid's big data can be helpful to develop highly accurate deep learning models for Short-term Load Forecasting (STLF) in electrical networks. …"
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120
Use data Mining Techniques to Predict Users’ Engagement on the Social Network Posts in The Period Before, During and After Ramadan
منشور في 2017"…Different classification algorithms were applied to the dataset using the Rapidminer tool. …"
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