Accurate multiple network alignment through context-sensitive random walk حسب Hyundoo Jeong (3840013)

"…In this work, we propose a novel multiple network alignment algorithm based on a context-sensitive random walk model. …"

Design and Optimization of a Planar Cable Robot حسب Kassem, Mohamad Hassan

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Detecting and Predicting Archaeological Sites Using Remote Sensing and Machine Learning—Application to the Saruq Al-Hadid Site, Dubai, UAE حسب Ben-Romdhane, Haïfa

"…The validation of these results was performed using previous archaeological works as well as geological and geomorphological field surveys. The modelling and prediction accuracies are expected to improve with the insertion of a neural network and backpropagation algorithms based on the performed cluster groups following more recent field surveys. …"
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Artificial Intelligence in Predicting Cardiac Arrest: Scoping Review حسب Asma Alamgir (18288895)

"…Most of the studies used data sets with a size of <10,000 samples (32/47, 68%). Machine learning models were the most prominent branch of AI used in the prediction of cardiac arrest in the studies (38/47, 81%), and the most used algorithm was the neural network (23/47, 49%). …"

Edge intelligence for network intrusion prevention in IoT ecosystem حسب Mansura, Habiba

"…A system architecture is designed for a cloud-based IoT framework to implement the proposed algorithm efficiently. …"
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Just-in-time defect prediction for mobile applications: using shallow or deep learning? حسب Raymon van Dinter (10521952)

"…In this research, we evaluate the performance of traditional machine learning algorithms and data sampling techniques for JITDP problems and compare the model performance with the performance of a DL-based prediction model. …"

Mobile Robot Trajectory Tracking Using Neural Networks حسب Mohareri, Omid

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Optimization metaheuristic for software testing حسب Mansour, Nashat

"…In our work, we model web applications by associating features or web pages with states; state transition diagrams are based on events representing state transitions. …"
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LNCRI: Long Non-Coding RNA Identifier in Multiple Species حسب Saleh Musleh (15279190)

"…We applied the SHAP algorithm to demonstrate the importance of most dominating features that were leveraged in the model. …"

Quality Degradation And Pricing of Perishable Food Products حسب Alastal, Haya

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

"…Design/methodology/approach The proposed model uses an association rule algorithm for extracting frequent sets containing related items – to extract relationships between words in the texts to be indexed with words from texts that belong to the same category. …"
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Edge intelligence for network intrusion prevention in IoT ecosystem حسب Mansura Habiba (17808302)

"…A system architecture is designed for a cloud-based IoT framework to implement the proposed algorithm efficiently. …"

Computation of conformal invariants حسب Mohamed M.S., Nasser

"…In particular, we provide an algorithm for computing the conformal capacity of a condenser. …"
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Enhanced DC Microgrid Protection: a Neural Network and Wavelet Transform Approach حسب El Gohary, Youssef Hesham

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Deep Reinforcement Learning for Resource Constrained HLS Scheduling حسب Makhoul, Rim

"…The two main steps in HLS are: operations scheduling and data-path allocation. In this work, we present a resource constrained scheduling approach that minimizes latency and subject to resource constraints using a deep Q learning algorithm. …"
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A Novel Encryption Method for Dorsal Hand Vein Images on a Microcomputer حسب M. Z. Yildiz (16855476)

"…Second, the pre- and post-processed images were encrypted with a new encryption algorithm in the microcomputer environment. …"

The Role of Artificial Intelligence in Decoding Speech from EEG Signals: A Scoping Review حسب Uzair Shah (15740699)

"…The study selection process was carried out in three phases: study identification, study selection, and data extraction. …"

Supervised term-category feature weighting for improved text classification حسب Attieh, Joseph

"…GradientDescentANN replaces the iterative additive process mentioned previously by computing the term-category matrix using a gradient descent ANN model. Training the ANN using the gradient descent algorithm allows updating the term-category matrix until reaching convergence. …"
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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. …"

Predicting Calcein Release from Ultrasound-Targeted Liposomes: A Comparative Analysis of Random Forest and Support Vector Machine حسب Shomope, Ibrahim

"…The type of algorithm employed to predict drug release from liposomes plays an important role in affecting the accuracy. …"
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