Error detection in algorithm-based fault tolerant systems حسب Al-Mehdar, Omar Salem

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Fault-Tolerant Network Topologies for Datacenters حسب Attia, Heba Mahmoud Helal

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A Fast and Robust Gas Recognition Algorithm Based on Hybrid Convolutional and Recurrent Neural Network حسب Xiaofang Pan (1895950)

A fault-tolerant approach for the shortest path algorithm in large spectrum graphs. (c2007) حسب Fares, Joseph

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Adaptive Fault-Tolerant Communication Based-Control for Parallel Connected Rectifiers حسب Ali Sharida (17947847)

"…The master unit is responsible for generating current reference signal and for sharing it with the slaves, while the slave units are solely responsible for generating the power based on the received reference set points. The master can be selected and changed automatically based on a negotiation algorithm among the connected rectifiers. …"

Digital-Twin-Based Diagnosis and Tolerant Control of T-Type Three-Level Rectifiers حسب Ali Sharida (17947847)

"…<p dir="ltr">This article proposes a digital twin (DT)-based diagnosis and fault-tolerant control for T-type three-level rectifiers. …"

Reliability and fault tolerance based topological optimization of computer networks - part I: enumerative techniques حسب Abd-El-Barr, Mostafa

"…Existing enumeration-based techniques for solving this network optimization problem ignore the fault-tolerance aspect in their solution. …"
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Reliability and fault tolerance based topological optimization of computer networks - part II: iterative techniques حسب Abd-El-Barr, Mostafa

"…We consider fault-tolerance to be an important network design aspect. …"
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CNN and HEVC Video Coding Features for Static Video Summarization حسب Issa, Obada

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Novel algorithms for accurate DNA base-calling حسب Mohammed, Omniyah Gul

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Predicting Patient ICU Readmission Using Recurrent Neural Networks With Long Short-Term Memory حسب Nadia Rasheed (22997257)

Design of acoustic absorbing metasurfaces using a data-driven approach حسب Hamza Baali (14603380)

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Bird’s Eye View feature selection for high-dimensional data حسب Samir Brahim Belhaouari (16855434)

"…This approach is inspired by the natural world, where a bird searches for important features in a sparse dataset, similar to how a bird search for sustenance in a sprawling jungle. BEV incorporates elements of Evolutionary Algorithms with a Genetic Algorithm to maintain a population of top-performing agents, Dynamic Markov Chain to steer the movement of agents in the search space, and Reinforcement Learning to reward and penalize agents based on their progress. …"

Fault Diagnosis Based Machine Learning and Fault Tolerant Control of Multicellular Converter Used in Photovoltaic Water Pumping System حسب B. Rouabah (17947820)

"…Meanwhile, the serial connection and redundant topology of multicellular converters render the system more vulnerable to failure. fault diagnosis-based machine learning approach and fault tolerant control (FTC) are proposed for multicellular power converters. …"

Secure and Anonymous Communications Over Delay Tolerant Networks حسب Spiridon Bakiras (16896408)

"…Instead, our work introduces a novel message forwarding algorithm that delivers messages, from source to destination, via a random walk process. …"

Deep Learning-Based Coding Strategy for Improved Cochlear Implant Speech Perception in Noisy Environments حسب Billel Essaid (22047578)

The Use of Enumerative Techniques in Topological Optimization of Computer Networks Subject to Fault Tolerance and Reliability حسب Abd-El-barr, Mostafa

"…Existing enumeration-based techniques for solving this network optimization problem ignore the fault-tolerance aspect in their solution. …"
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Predicting long-term type 2 diabetes with support vector machine using oral glucose tolerance test حسب Hasan T. Abbas (8115014)

"…Data generated from an oral glucose tolerance test (OGTT) was used to develop a predictive model based on the support vector machine (SVM). …"

Nonlinear analysis of shell structures using image processing and machine learning حسب M.S. Nashed (16392961)

"…The proposed approach can be significantly more efficient than training a machine learning algorithm using the raw numerical data. To evaluate the proposed method, two different structures are assessed where the training data is created using nonlinear finite element analysis. …"

Competitive learning/reflected residual vector quantization for coding angiogram images حسب Mourn, W.A.H.

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