An Effective Hybrid NARX-LSTM Model for Point and Interval PV Power Forecasting حسب Mohamed Massaoudi (16888710)

الموضوعات:

Design of acoustic absorbing metasurfaces using a data-driven approach حسب Hamza Baali (14603380)

الموضوعات:

Predicting Patient ICU Readmission Using Recurrent Neural Networks With Long Short-Term Memory حسب Nadia Rasheed (22997257)

الموضوعات:

Automatic Recognition of Poets for Arabic Poetry using Deep Learning Techniques (LSTM and Bi-LSTM) حسب AL SHOUBAKI, HAMZA YOUNIS

"…We also explore a range of algorithms, including traditional classifiers and deep learning models, to determine and select the most suitable and accurate models of identifying poets' names from the verses. …"
احصل على النص الكامل

Cryptocurrency Exchange Market Prediction and Analysis Using Data Mining and Artificial Intelligence حسب Al Rayhi, Nasser

"…One of the best algorithms in terms of the result is the Long Short Term Memory (LSTM) since it is based on recurrent neural networks which uses loop as a method to learn from heuristics data. …"
احصل على النص الكامل

Allocation and re-allocation of data in a grid using an adaptive genetic algorithm حسب Mansour, N.

"…Allocation and re-allocation of data in a grid using an adaptive genetic algorithm. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

An efficient and secure compression technique for data protection using burrows-wheeler transform algorithm حسب M Baritha Begum (17541483)

Efficient Approximate Conformance Checking Using Trie Data Structures حسب Awad, Ahmed

"…By encoding the proxy behavior using a trie data structure, we obtain a logarithmically reduced search space for alignment computation compared to a set-based representation. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

Predicting COVID-19 cases using bidirectional LSTM on multivariate time series حسب Ahmed Ben Said (14158926)

"…Unlike other forecasting techniques, our proposed approach first groups the countries having similar demographic and socioeconomic aspects and health sector indicators using K-means clustering algorithm. The cumulative case data of the clustered countries enriched with data related to the lockdown measures are fed to the bidirectional LSTM to train the forecasting model. …"

Multilayer Reversible Data Hiding Based on the Difference Expansion Method Using Multilevel Thresholding of Host Images Based on the Slime Mould Algorithm حسب Abu Zitar, Raed

"…Moreover, the image pixels in different and more similar areas of the image are located next to one another in a group and classified using the specified thresholds. As a result, the embedding capacity in each class can increase by reducing the value of the difference between two consecutive pixels, and the distortion of the marked image can decrease after inserting the personal data using the DE method. …"
احصل على النص الكامل

Joint Inversion of Direct Current Resistivity and Seismic Refraction Data, using Local and Global Optimization Algorithms with Synthetic and Real Data Examples حسب unknown

احصل على النص الكامل
احصل على النص الكامل

Using Machine Learning Algorithms to Forecast Solar Energy Power Output حسب Ali Jassim Lari (22597940)

"…We focused on the first 30-min, 3-h, 6-h, 12-h, and 24-h windows to gain an appreciation of the impact of forecasting duration on the accuracy of prediction using the selected machine learning algorithms. The study results show that Random Forest outperformed all other tested algorithms. …"

Data-Driven Electricity Demand Modeling for Electric Vehicles Using Machine Learning حسب Far, Reza Davoodi

احصل على النص الكامل

Limiting the Collection of Ground Truth Data for Land Use and Land Cover Maps with Machine Learning Algorithms حسب Usman Ali (6586886)

"…This was accomplished by (1) extracting reliable LULC information from Sentinel-2 and Landsat-8 s images, (2) generating remote sensing indices used to train ML algorithms, and (3) comparing the results with ground truth data. …"

A genetic algorithm for testable data path synthesis حسب Harmanani, H.

احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

A neural networks algorithm for data path synthesis حسب Harmanani, Haidar M.

"…This paper presents a deterministic parallel algorithm to solve the data path allocation problem in high-level synthesis. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

Data reductions and combinatorial bounds for improved approximation algorithms حسب Abu-Khzam, Faisal N.

"…Kernelization algorithms in the context of Parameterized Complexity are often based on a combination of data reduction rules and combinatorial insights. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

Distributed dimension reduction algorithms for widely dispersed data حسب Abu-Khzam, F.N.

احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

A comparative study of replacement algorithms used in the scalable asynchronous cache consistency scheme حسب Haraty, Ramzi A.

احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

Data of simulation model for photovoltaic system's maximum power point tracking using sequential Monte Carlo algorithm حسب Odat, Alhaj-Saleh A.

"…Additionally, these data can be readily applied to compare algorithmic results referenced by (Babu, T.S. et al., 2015; PrasanthRam, J. et al., 2017) [2,3], and contribute to the development of new processes for practical applications.…"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل