Dynamic single node failure recovery in distributed storage systems حسب Itani, M.

"…To minimize the system repair cost, we formulate our problem using incidence matrices and solve it heuristically using genetic algorithms for all possible cases of single node failures. …"
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Clustering and Stochastic Simulation Optimization for Outpatient Chemotherapy Appointment Planning and Scheduling حسب Majed Hadid (17148364)

"…A Stochastic Discrete Simulation-Based Multi-Objective Optimization (SDSMO) model is developed and linked to clustering algorithms using an iterative sequential approach. The experimental results indicate the positive effect of clustering similar appointments on the performance measures and the computational time. …"

Developing an online hate classifier for multiple social media platforms حسب Joni Salminen (7434770)

"…<p>The proliferation of social media enables people to express their opinions widely online. However, at the same time, this has resulted in the emergence of conflict and hate, making online environments uninviting for users. …"

Parallelization of Stochastic Evolution حسب Khan, Khawar

"…The placement objectives in our work are to reduce power dissipation and wire-length while improving performance (timing). The parallelization is achieved on a cluster of workstations interconnected by a low-latency network, by using MPI communication libraries. …"
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Parallelization of Iterative Heuristic for Performance-Driven Low-Power VLSI Standard Cell Placement. حسب Syed, Sanaullah/SS

"…Circuits from ISCAS-89 are used as benchmarks. Results for parallel Tabu Search are compared with its sequential counterpart as a reference point for both, the quality of solution as well as the execution time.…"
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Axes-Based Encryption Key حسب Haidar, Imane

"…Security has been maximized although there are limits concerning time and space.…"
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Modelling of pollutant transport in compound open channels حسب Chatila, Jean Georges

"…Longitudinal and transverse mixing coefficients were calculated using the method of moments and by estimation using empirical relationships. …"
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Exploring new horizons in neuroscience disease detection through innovative visual signal analysis حسب Nisreen Said Amer (17984077)

"…To address this, our study focuses on visualizing complex EEG signals in a format easily understandable by medical professionals and deep learning algorithms. We propose a novel time–frequency (TF) transform called the Forward–Backward Fourier transform (FBFT) and utilize convolutional neural networks (CNNs) to extract meaningful features from TF images and classify brain disorders. …"

Scalable Multimedia Streaming in Wireless Networks with Device-to-Device Cooperation حسب Jahed, Karim

"…This is particularly applicable to use cases such as delivering real-time multimedia content to fans watching a soccer game in a stadium or to participants attending a major conference in a large auditorium. …"
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Machine learning based approaches for intelligent adaptation and prediction in banking business processes. (c2018) حسب Tay, Bilal M.

"…Experiments on real life data set explore the feasibility of our approach, which also provides better performance in terms of required authorizations, transactions time and employees working hours. Moreover, we propose in this thesis a Deep Learning Based Approach to Predict Non-Performing Loans. …"
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Dynamic Cyber Resilience of Interdependent Critical Information Infrastructures حسب JUMA, MAZEN GHAZI

"…The technology stack was also enhanced with three new algorithms and five protocols. The proposed solution was optimized using the iterative four-objective cycle based on previous primary phase results. …"
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Artificial Intelligence for Skin Cancer Detection: Scoping Review حسب Abdulrahman Takiddin (14153181)

"…Traditional skin cancer diagnosis methods are costly, require a professional physician, and take time. Hence, to aid in diagnosing skin cancer, artificial intelligence (AI) tools are being used, including shallow and deep machine learning–based methodologies that are trained to detect and classify skin cancer using computer algorithms and deep neural networks.…"

Software-Defined-Networking-Based One-versus-Rest Strategy for Detecting and Mitigating Distributed Denial-of-Service Attacks in Smart Home Internet of Things Devices حسب Neder Karmous (19743430)

"…Based on the performance metrics, such as confusion matrix, training time, prediction time, accuracy, and Area Under the Receiver Operating Characteristic curve (AUC-ROC), it was established that SDN-ML-IoT, when applied to RF, outperforms other ML algorithms, as well as similar approaches related to our work. …"

A lightweight adaptive compression scheme for energy-efficient mobile-to-mobile file sharing applications حسب Sharafeddine, Sanaa

"…Moreover, if the transmission rate over the wireless medium is high then the need for compression might be reduced or even eliminated as data is transferred efficiently within a limited amount of time. We evaluate and optimize the performance of the proposed adaptive compression scheme using experimental measurements in different scenarios and as a function of various parameters. …"
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Analysis of control strategies for smoothing of solar PV fluctuations with storage devices حسب G.V. Brahmendra Kumar (17337760)

"…Energy storage systems (ESSs)are often used to mitigate power fluctuations in the grid through various control algorithms. …"

Block constrained pressure residual preconditioning for two-phase flow in porous media by mixed hybrid finite elements حسب Stefano Nardean (14151900)

"…Therefore, we designed a dedicated two-stage strategy, inspired by the CPR algorithm, where a block preconditioner is used for the pressure part with the aim at exploiting the inner $$2\times 2$$ 2 × 2 structure. …"

Optimal Trajectory and Positioning of UAVs for Small Cell HetNets: Geometrical Analysis and Reinforcement Learning Approach حسب Mohammad Taghi Dabiri (16904658)

"…We then formulate the problem for UAV trajectory to minimize the maximum outage probability (OP) of directional THz links. Then, using geometrical analysis and deep reinforcement learning (RL) method, we propose several algorithms to find the optimal trajectory and select an optimal pattern during the trajectory. …"

Utilization of AI to Predict Shear Strength Parameters of Soil Based on Their Physical Properties حسب AbdulGhafour, Husaen

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Machine Learning–Based Approach for Identifying Research Gaps: COVID-19 as a Case Study حسب Alaa Abd-alrazaq (17058018)

"…Traditional methods for identifying research gaps, such as literature reviews and expert opinions, can be time consuming, labor intensive, and prone to bias. …"

Artificial Intelligence for Assessing the Correlation Between Sleep Apnoea and Comorbidities حسب Ramesh, Jayroop

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