Random Forest Bagging and X‐Means Clustered Antipattern Detection from SQL Query Log for Accessing Secure Mobile Data حسب Rajesh Kumar Dhanaraj (19646269)

"…The results revealed that the RFBXSQLQC technique outperforms the existing algorithms by 19% with pattern detection accuracy, 34% minimized time complexity, 64% false-positive rate, and 31% in terms of computational overhead.…"

UML-based regression testing for OO software حسب Mansour, Nashat

"…For the second phase, we present algorithms for detecting system level changes in the interaction overview diagram. …"
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Gesture-based Graph-theoretic Robot Formation Control حسب Sajid, Mahroo

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AI-Aided Robotic Wide-Range Water Quality Monitoring System حسب Awwad, Ameen

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GenDE: A CRF-Based Data Extractor حسب Kayed, Mohammed

"…The experiments show an encouraging result as it outperforms the CSP-based extractor algorithm (95% and 96% of recall and precision, respectively). …"
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Automatic and Intelligent Stressor Identification Based on Photoplethysmography Analysis حسب Sami Elzeiny (16891521)

Fine-grain watermarking for intellectual property protection حسب Stefano Giovanni Rizzo (18615112)

A Hybrid Fault Detection and Diagnosis of Grid-Tied PV Systems: Enhanced Random Forest Classifier Using Data Reduction and Interval-Valued Representation حسب Khaled Dhibi (16891524)

"…In the proposed FDD approach, named interval reduced kernel PCA (IRKPCA)-based Random Forest (IRKPCA-RF), the feature extraction and selection phase is performed using the IRKPCA models while the fault classification is ensured using the RF algorithm. …"

Privacy-preserving energy optimization via multi-stage federated learning for micro-moment recommendations حسب Md Mosarrof Hossen (21399056)

Extreme Early Image Recognition Using Event-Based Vision حسب Abubakar Abubakar (18278998)

"…<p dir="ltr">While deep learning algorithms have advanced to a great extent, they are all designed for frame-based imagers that capture images at a high frame rate, which leads to a high storage requirement, heavy computations, and very high power consumption. …"

Lung cancer medical images classification using hybrid CNN-SVM حسب Abdulrazak Yahya Saleh (18520026)

"…This paper presents an image classification method based on the hybrid Convolutional Neural Network (CNN) algorithm and Support Vector Machine (SVM). …"

PSYCHOLOGICAL EMOTION RECOGNITION OF STUDENTS USING MACHINE LEARNING BASED CHATBOT حسب Khalil Assayed, Suha

"…In this paper, we propose a chatbot for detecting the students feeling by using machine-learning algorithms. …"
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PSYCHOLOGICAL EMOTION RECOGNITION OF STUDENTS USING MACHINE LEARNING BASED CHATBOT حسب Khalil Assayed, Suha

"…In this paper, we propose a chatbot for detecting the students feeling by using machine-learning algorithms. …"
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A GENERAL REAL-TIME DECODER BASED ON AMD2900 DEVICES حسب SOOMRO, AA

"…Abstract A bit-slice microprocessor-based real-time decoder has been proposed in this paper. …"
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Communication-Based Adaptive Overcurrent Protection for Distribution Systems with DistributedGenerators حسب Sulaiman, Mohamad

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Approximate XML structure validation based on document–grammar tree similarity حسب Tekli, Joe

"…Our approach exploits the concept of tree edit distance, introducing a novel edit distance recurrence and dedicated algorithms to effectively compare XML documents and grammar structures, modeled as ordered labeled trees. …"
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Transaction Dependency Based Approach for Database Damage Assessment Using a Matrix حسب Haraty, Ramzi Ahmed

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MSLP: mRNA subcellular localization predictor based on machine learning techniques حسب Saleh Musleh (15279190)

"…On the other hand, physicochemical properties and Z-curve based features contributed the most to ExR and mitochondria detection. …"

Enhancing building sustainability: A Digital Twin approach to energy efficiency and occupancy monitoring حسب Aya Nabil Sayed (17317006)

"…Our data-driven occupancy detection approach utilized Machine Learning (ML) algorithms to intelligently determine room occupancy, allowing for precise energy management based on real-time usage patterns. …"

Hybrid deep learning based threat intelligence framework for Industrial IoT systems حسب Jahanzaib Malik (23718816)

"…The proposed approach was also compared against several contemporary deep learning-based architectures and existing benchmark algorithms. …"