Wide area monitoring system operations in modern power grids: A median regression function-based state estimation approach towards cyber attacks حسب Haris M. Khalid (17017743)

"…However, the traffic of digital information and communication is potentially vulnerable to data-injection and cyber attacks. To address this issue, a median regression function (MRF)-based state estimation is presented in this paper. …"

Recursive Parameter Identification Of A Class Of Nonlinear Systems From Noisy Measurements حسب Emara-Shabaik, Husam

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Graph contraction for physical optimization methods حسب Mansour, Nashat

"…The mapping solution for the original problem is obtained by a straight-forward interpolation. We then present experimental results on using contracted graphs as inputs to two physical optimization methods; namely, Genetic Algorithm and Simulated Annealing. …"
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Face Recognition in Uncontrolled Indoor Environment حسب Abuqaaud, Kamal Adel

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Tracking and repairing damaged healthcare databases using the matrix حسب Haraty, Ramzi A.

"…The algorithm is based on data dependency and uses a single matrix. …"
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Information Warfare حسب Haraty, Ramzi A.

"…The algorithm is based on data dependency and uses a single matrix that will be later used during recovery.…"
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Scatter search for homology modeling حسب Mansour, Nashat

"…The metaheuristic optimizes the initial poor alignments and uses fitness functions. We assess our algorithm on a number of proteins whose structures are present in the Protein Data Bank and which have been used in previous literature. …"
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Evacuation of a highly congested urban city حسب El Khoury, John

"…The algorithm uses Dijkstras algorithm to find the shortest path(s) and a modified greedy algorithm to assign maximum flows to selected paths given a specific schedule per time interval. …"
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Optimizing ADWIN for Steady Streams حسب Moharram, Hassan

"…However, online machine learning comes with many challenges for the different aspects of the learning process, starting from the algorithm design to the evaluation method. One of these challenges is the ability of a learning system to adapt to the change in data distribution, known as concept drift, to maintain the accuracy of the predictions. …"
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Scatter search metaheuristic for homology based protein structure prediction. (c2015) حسب Stamboulian, Mouses Hrag

"…The metaheuristic is guided using two fitness functions, GA341 and DOPE. 3D models are generated using the software MODELLER. We assess our algorithm on a total of 11 proteins whose structures are present in the Protein Data Bank (PDB) and which has been used in previous literature. …"
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Learning-Based Space-Time Adaptive Processing حسب El Khatib, Alaa

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Information warfare حسب Haraty, Ramzi A.

"…Numerous damage assessment and recovery algorithms have been proposed by researchersIn this work, we present an efficient lightweight detection and recovery algorithm that is based on the matrix approach and that can be used to recover from malicious attacks. …"
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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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Assessment of static pile design methods and non-linear analysis of pile driving حسب Abou-Jaoude, Grace G.

"…The pile/soil interaction system is described by a mass/spring/dashpot system where the properties of each component are derived from rigorous analytical solutions or finite element analysis. The outcome of this research is an algorithm that can be used to predict pile displacement and driving stresses. …"
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On sensor selection in mobile devices based on energy, application accuracy, and context metrics حسب Taleb, Sireen

"…In this paper, we propose a sensor selection procedure which decides what sensors to use according to energy, accuracy, and required context metrics. We present an accuracy-energy based algorithm that reduces energy consumption while conserving the required application accuracy. …"
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A new estimator and approach for estimating the subpopulation parameters حسب Mohammad Salehi M. (21259490)

"…<p dir="ltr">Based on some theoretical results, we recommend a new algorithm for estimating the total and mean of a subpopulation variable for the case of a known subpopulation size, which is different from the algorithm recommended by most of sampling books. …"

Efficient Test Compaction for Combinational Circuits Based on Fault Detection Count-Directed Clustering حسب El-Maleh, Aiman H.

"…Test compaction is an effective technique for reducing test data volume and test application time. In this paper, we present a new static test compaction algorithm based on test vector decomposition and clustering. …"
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A Blockchain Model for Secure Communications in Internet of Vehicles حسب Mershad, Khaleel

"…In this paper, we present a framework for secure IoV communications by utilizing the High Performance Blockchain Consensus (HPBC) algorithm. …"
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Regression Testing of Database Applications حسب Haraty, Ramzi A.

"…In phase 2, further reduction in the regression test cases is performed by using reduction algorithms. We present two such algorithms. The Graph Walk algorithm walks through the control flow graph of database modules and selects a safe set of test cases to retest. …"
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Recovery of business intelligence systems حسب Haraty, Ramzi A.

"…The efficiency of the data recovery algorithm is substantial for e-healthcare systems. …"
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