بدائل البحث:
learning algorithm » learning algorithms (توسيع البحث)
data algorithm » jaya algorithm (توسيع البحث), deer algorithm (توسيع البحث)
a learning » _ learning (توسيع البحث)
implement » implemented (توسيع البحث), implementing (توسيع البحث)
finding » findings (توسيع البحث)
element » elements (توسيع البحث)
learning algorithm » learning algorithms (توسيع البحث)
data algorithm » jaya algorithm (توسيع البحث), deer algorithm (توسيع البحث)
a learning » _ learning (توسيع البحث)
implement » implemented (توسيع البحث), implementing (توسيع البحث)
finding » findings (توسيع البحث)
element » elements (توسيع البحث)
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521
Modeling and Control of Nonlinear Systems Using Wavelet Networks
منشور في 2006احصل على النص الكامل
doctoralThesis -
522
Computer-aided detection of Melanoma using geometric features
منشور في 2017"…In this work, we investigate the use of geometric features to differentiate between a benign lesion and a malignant one. The k-Nearest Neighbors (k-NN) machine learning algorithm is used to classify 15 lesions based on their ABD features. …"
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conferenceObject -
523
Predicting stability of classes in an object-oriented system
منشور في 2010"…We compare our results to the machine learning algorithm C4.5, and we show that our approach out-beats it.…"
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احصل على النص الكامل
article -
524
An efficient method for the open-shop scheduling problem using simulated annealing
منشور في 2016"…Experimental results show that the algorithm performs well on the benchmarks. The algorithm was able to find an optimum solution in many cases.…"
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احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
conferenceObject -
525
SDODV. (c2018)
منشور في 2018"…Our proposed adaptive algorithm increases effectively the lifetime of the built network by considering the network topology when establishing a route. …"
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احصل على النص الكامل
احصل على النص الكامل
masterThesis -
526
Predicting COVID-19 cases using bidirectional LSTM on multivariate time series
منشور في 2022"…<p>To assist policymakers in making adequate decisions to stop the spread of the COVID-19 pandemic, accurate forecasting of the disease propagation is of paramount importance. This paper presents a deep learning approach to forecast the cumulative number of COVID-19 cases using bidirectional Long Short-Term Memory (Bi-LSTM) network applied to multivariate time series. …"
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527
On-demand deployment of multiple aerial base stations for traffic offloading and network recovery
منشور في 2019"…Afterwards, we propose and evaluate a more practical approach for multiple UAV deployment in a continuous 3D space, based on an unsupervised learning technique that relies on the notion of electrostatics with repulsion and attraction forces. …"
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احصل على النص الكامل
احصل على النص الكامل
article -
528
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529
Exploratory risk prediction of type II diabetes with isolation forests and novel biomarkers
منشور في 2024"…Type II diabetes mellitus (T2DM) is a rising global health burden due to its rapidly increasing prevalence worldwide, and can result in serious complications. …"
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530
Digital-Twin-Based Diagnosis and Tolerant Control of T-Type Three-Level Rectifiers
منشور في 2023"…To develop the DT, a dense deep neural network (DNN) machine learning approach is used. …"
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531
Spatiotemporal Mapping and Monitoring of Mangrove Forests Changes From 1990 to 2019 in the Northern Emirates, UAE Using Random Forest, Kernel Logistic Regression and Naive Bayes Tr...
منشور في 2020"…The approach was developed based on random forest (RF), Kernel logistic regression (KLR), and Naive Bayes Tree machine learning algorithms which use multitemporal Landsat images. …"
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article -
532
Modeling and Control of a Thermally Driven MEMS Actuator for RF Applications
منشور في 2017احصل على النص الكامل
doctoralThesis -
533
Performance Analysis of Artificial Neural Networks in Forecasting Financial Time Series
منشور في 2013احصل على النص الكامل
doctoralThesis -
534
Structural similarity evaluation between XML documents and DTDs
منشور في 2007"…The automatic processing and management of XML-based data are ever more popular research issues due to the increasing abundant use of XML, especially on the Web. …"
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احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
conferenceObject -
535
New primitives to AOP weaving capabilities for security hardening concerns
منشور في 2007"…They allow to analyze a program’s call graph in order to determine how to change function signatures for the passing of parameters associated with a given security hardening. We find this feature necessary in order to implement security hardening solutions that are infeasible or impractical using the current AOP proposals. …"
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احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
conferenceObject -
536
The Effects of Data Mining on Small Businesses in Dubai
منشور في 2011"…While there are numerous studies on the best data mining models and their uses, even on certain industries, this study focuses on the applications more than the algorithms and models and their usefulness for small businesses specifically. …"
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537
Modeling and thermoeconomic analysis of new polygeneration system based on geothermal energy with sea water desalination and hydrogen production
منشور في 2025"…The Grey Wolf Optimization (GWO) algorithm, which directs the system's optimization process, demonstrates a competitive trade-off between exergy efficiency, freshwater production, costs, NPV, and environmental impact. …"
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538
A survey and comparison of wormhole routing techniques in a meshnetworks
منشور في 1997"…These multiprocessing systems consist of processing elements or nodes which are connected together by interconnection networks in various topologies. …"
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article -
539
Optimum Track to Track Fusion Using CMA-ES and LSTM Techniques
منشور في 2024"…The first method uses an offline technique based on a global optimizer called the CMA-ES algorithm and the second one uses LSTM in its different forms to learn the online adjustment of the fusion weights between the two tracks. …"
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540
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. …"