Parallel genetic algorithm for disease-gene association حسب Mansour, Nashat

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Three-phase simulated annealing algorithms for exam scheduling حسب Mansour, Nashat

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Online Recruitment Fraud (ORF) Detection Using Deep Learning Approaches حسب Natasha Akram (20749538)

A method for data path synthesis using neural networks حسب Harmanani, H.

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Indexing Arabic texts using association rule data mining حسب Haraty, Ramzi A.

"…Originality/value In this paper, the authors present a full text-based auto-indexing method for Arabic text documents. The auto-indexing method extracts new relevant words by using data mining rules, which has not been investigated before. …"
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Convergence and steady-state analysis of the normalized least mean fourth algorithm حسب Zerguine, Azzedine

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

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UAV Trajectory Planning for Data Collection from Time-Constrained IoT Devices حسب Samir, Moataz

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Trajectory Planning and Resource Allocation of Multiple UAVs for Data Delivery in Vehicular Networks حسب Samir, Moataz

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Automatic keyword extraction from a real estate classifieds data set حسب Devassy, Dibin

"…We begin with designing data cleansing algorithms to verify different attributes of the real estate classified. …"
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UAV-Aided Projection-Based Compressive Data Gathering in Wireless Sensor Networks حسب Ebrahimi, Dariush

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Performance evaluation of load balancing algorithms for parallel single-phase iterative PDE solvers حسب Mansour, N.

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Enhancing Personalized Learning Experiences through AI-driven Analysis of xAPI Data حسب ODEH, HANEEN

"…The Experience API (xAPI) provides a comprehensive mechanism to document all types of learning interactions, storing this stream of data into the Learning Record Store (LRS). …"
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Machine Learning-Driven Prediction of Corrosion Inhibitor Efficiency: Emerging Algorithms, Challenges, and Future Outlooks حسب Najam Us Sahar Riyaz (22927843)

"…At the same time, virtual sample augmentation and genetic algorithm feature selection elevate sparse data performance, raising k-nearest neighbor models from R² = 0.05 to 0.99 in a representative thiophene set. …"

Machine learning and structural health monitoring overview with emerging technology and high-dimensional data source highlights حسب Malekloo, Arman

"…A detailed analysis of the ML pipelines is provided, and the in-demand methods and algorithms are summarized in augmentative tables and figures. …"
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Towards Scalable Process Mining Pipelines حسب Mohamed, Belal

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Autonomous 3D Deployment of Aerial Base Stations in Wireless Networks with User Mobility حسب Islambouli, Rania

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Privacy-Preserving Framework for Blockchain-Based Stock Exchange Platform حسب Hamed Al-Shaibani (19497412)

"…Furthermore, to assess the overhead of the proposed privacy algorithms on the trading execution time, we conduct several experiments considering different anonymity levels <i>k</i> . …"

Performance of artificial intelligence models in estimating blood glucose level among diabetic patients using non-invasive wearable device data حسب Arfan Ahmed (17541309)

"…One of the key aspects of WDs with machine learning (ML) algorithms is to find specific data signatures, called Digital biomarkers, that can be used in classification or gaging the extent of the underlying condition. …"

Machine Learning Approach for the Design of an Assessment Outcomes Recommendation System حسب Abu Zitar, Raed

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