On the Provisioning of Ultra-Reliable Low-Latency Services in IoT Networks with Multipath Diversity حسب Sweidan, Zahraa

"…We de ne the constraints of the problem, model it as a Markov Decision Process, and propose a reinforcement learning-based solution to optimize the UAV trajectory. Simulation results are presented for both parts of the thesis to illustrate the effectiveness of the proposed solutions and algorithms in comparison with optimal solutions and baseline algorithms.…"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

Tuning of a fuzzy logic power system stabilizer using geneticalgorithms حسب Abido, M.A.

"…The proposed approach uses genetic algorithms (GA) to search for optimal or near optimal settings of fuzzy logic power system stabilizer (FLPSS) parameters. …"
احصل على النص الكامل
احصل على النص الكامل

Advancing Coherent Power Grid Partitioning: A Review Embracing Machine and Deep Learning حسب Mohamed Massaoudi (16888710)

"…Subsequently, state-of-the-art research that envisions the use of clustering-based machine learning and deep learning-based solutions for PGP is presented. …"

Towards Multimedia Fragmentation حسب Saad, Samir

"…We particularly discuss multimedia primary horizontal fragmentation and provide a partitioning strategy based on low-level multi-media features. Our approach particularly emphasizes the importance of multimedia predicates implications in optimizing multimedia fragments. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

Predicting Android Malware Using Evolution Networks حسب Chahine, Joy

"…We combine this model with genetic algorithms to optimize its parameters and return the best state transition probabilities, and we predict future malware accordingly. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

SemIndex: Semantic-Aware Inverted Index حسب Chbeir, Richard

"…Preliminary results have demonstrated the effectiveness, scalability and optimality of our approach.…"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

A fine-grained XML structural comparison approach حسب Tekli, Joe

"…Our approach consists of two main algorithms for discovering the structural commonality between sub-trees and computing tree-based edit operations costs. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

An XML Document Comparison Framework حسب Tekli, Joe

"…As the Web continues to grow and evolve, more and more information is being placed in structurally rich documents, XML documents in particular, so as to improve the efficiency of similarity clustering, information retrieval and data management applications. Various algorithms for comparing hierarchically structured data, e.g., XML documents, have been proposed in the literature. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

A Systematic Literature Review on Phishing Email Detection Using Natural Language Processing Techniques حسب SALLOUM, SAID

"…The findings include that the main research area in phishing detection studies is feature extraction and selection, followed by methods for classifying and optimizing the detection of phishing emails. Amongst the range of classification algorithms, support vector machines (SVMs) are heavily utilised for detecting phishing emails. …"
احصل على النص الكامل
احصل على النص الكامل

Distinguishing Between Fake and Real Smiles Using EEG Signals and Deep Learning حسب Moussa, Mostafa Mohamed

احصل على النص الكامل

Current trends and future orientation in diagnosing lung pathologies: A systematic survey حسب Noorizadeh, Mohammad

"…Additionally, it emphasized the necessity for further research to optimize their performance and clinical usefulness.…"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

Deep and transfer learning for building occupancy detection: A review and comparative analysis حسب Aya Nabil Sayed (17317006)

"…Moreover, the paper conducted a comparative study of the readily available algorithms for occupancy detection to determine the optimal method in regards to training time and testing accuracy. …"