An efficient approach for textual data classification using deep learning حسب Abdullah Alqahtani (7128143)

"…<p dir="ltr">Text categorization is an effective activity that can be accomplished using a variety of classification algorithms. In machine learning, the classifier is built by learning the features of categories from a set of preset training data. …"

Load Partitioning for Matrix-Matrix Multiplication on a Cluster of CPUGPU Nodes Using the Divisible Load Paradigm حسب Elhiny, Lamees

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Topics in graph algorithms حسب Abu-Khzam, Faisal Nabih

"…This is achieved by implementing some algorithms for the vertex cover problem, and conducting experiments on real data sets. …"
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Improvement of Kernel Principal Component Analysis-Based Approach for Nonlinear Process Monitoring by Data Set Size Reduction Using Class Interval حسب Mohammed Tahar Habib Kaib (21633176)

"…<p dir="ltr">Fault detection and diagnosis (FDD) systems play a crucial role in maintaining the adequate execution of the monitored process. One of the widely used data-driven FDD methods is the Principal Component Analysis (PCA). …"

Software defect prediction. (c2019) حسب Moussa, Rebecca

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A fast exact sequential algorithm for the partial digest problem حسب Mostafa M. Abbas (17058093)

"…Two types of simulated data, random and Zhang, are used to measure the efficiency of the algorithm. …"

On the steiner walk problem. (c2009) حسب Maarouf, Amina

الموضوعات: "…Euclidean algorithm -- Data processing…"
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Improved search-tree algorithms for the cluster edit problem. (c2011) حسب Ghrayeb, Ali Kassem

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Unsupervised Deep Learning for Classification Of Bats Calls Using Acoustic Data حسب Arshad, Muhammad Arbab

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RHEEMix in the data jungle: a cost-based optimizer for cross-platform systems. حسب Sebastian Kruse (18595195)

"…Our main contributions are: (i) a mechanism based on graph transformations to explore alternative execution strategies; (ii) a novel graph-based approach to determine efficient data movement plans among subtasks and platforms; and (iii) an efficient plan enumeration algorithm, based on a novel enumeration algebra. …"

Customs Trade Facilitation and Compliance for Ecommerce using Blockchain and Data Mining حسب Alqaryouti, Omar

"…An integrated web application is developed to mock up the end-to-end process in ecommerce. Additionally, the Cross Industry Standard Process for Data Mining (CRISP-DM) methodology is employed for modelling the two proposed clustering algorithms to identify transactional risks. …"
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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. …"
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Exploring Sentiment Analysis using Different Machine Learning Algorithms on Dialectal Arabic حسب AL MANSOORI, MOUZA

"…Therefore, big data analytics field emerged to tame the generated big data, and use it to provide useful insights to the world. …"
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Using machine learning algorithm for detection of cyber-attacks in cyber physical systems حسب Almajed, Rasha

"…We present the new framework for the detection of cyberattacks, which makes use of AI and ML. We begin a process to cleaning up the data in the CPS database by applying normalization to eliminate errors and duplication. …"
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Sentiment analysis for Arabizi in social media. (c2015) حسب Tobaili, Taha

"…We took the initiative to make use of this abundance of data by analyzing it and predicting sentiment. …"
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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. …"
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A Highly Efficient And Automated Approach To Identifying And Classifying Urban Traffic Images Using Self Organizing Maps and Artificial Intelligence. (c2006) حسب Bey, Hisham Mardam

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Nonlinear analysis of shell structures using image processing and machine learning حسب M.S. Nashed (16392961)

"…The proposed approach can be significantly more efficient than training a machine learning algorithm using the raw numerical data. To evaluate the proposed method, two different structures are assessed where the training data is created using nonlinear finite element analysis. …"

Bee Colony Algorithm for Proctors Assignment. حسب Mansour, Nashat

"…The Bee Colony algorithm is a recent population-based search algorithm that mimics the natural behavior of swarms of honey bees during the process of collecting food. …"
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A Secure and Decentralized Blockchain Based EV Energy Trading Model Using Smart Contract in V2G Network حسب Atif Iqbal (5504636)