A PARALLEL AND DISTRIBUTED FRAMEWORK FOR IMPLEMENTING BACK PROPAGATION ALGORITHM IN BIG DATA حسب unknown

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A PARALLEL AND DISTRIBUTED FRAMEWORK FOR IMPLEMENTING BACK PROPAGATION NEURAL NETWORK ALGORITHM IN BIG DATA حسب unknown

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Information warfare recovery-fighting back through the matrix. (c2012) حسب Zbib, Mirna

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Incorporation of Robust Sliding Mode Control and Adaptive Multi-Layer Neural Network-Based Observer for Unmanned Aerial Vehicles حسب Zainab Akhtar (15192184)

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A hybrid graph representation for recursive backtracking algorithms حسب Abu-Khzam, Faisal N.

"…The performance of these algorithms often suffers from the increasing number of graph modifications, such as deletions, that reduce the problem instance and have to be “taken back” frequently during the search process. …"
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A hybrid graph representation for exact graph algorithms حسب Abu-Khzam, Faisal N.

"…The performance of these algorithms often suffers from the increasing number of graph modifications, such as vertex/edge deletions, that reduce the problem instance and have to be "taken back" frequently during the search process. …"
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Evolutionary algorithm for predicting all-atom protein structure حسب Mansour, Nashat

"…This algorithm produces a 3D structure of the whole protein, including back-bone and side-chain atoms, by minimizing the energy function associated with the structure. …"
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Parallel Algorithms for Distinguishing Nondeterministic Finite State Machines حسب Ali, Mustafa

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General applicability of genetic and simulated annealing algorithms for data mapping حسب Mansour, Nashat

"…These properties of flexibility and general applicability, which are lacking in other heuristic algorithms, make the GA and SA attractive for automatic parallelization systems.…"
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Properties of simulated annealing and genetic algorithms for mapping data to multicomputers حسب Mansour, Nashat

"…These properties of flexibility and general applicability, which are lacking in other heuristic algorithms, make the GA and SA attractive for automatic parallelization systems.…"
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Incremental and Heuristic Algorithms for Deriving Adaptive Distinguishing Test Cases for Nondeterministic Finite State Machines حسب Saleh, Ayat

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Multimodal EEG and Keystroke Dynamics Based Biometric System Using Machine Learning Algorithms حسب Arafat Rahman (8065562)

"…<p dir="ltr">Electroencephalography (EEG) based biometric systems are gaining attention for their anti-spoofing capability but lack accuracy due to signal variability at different psychological and physiological conditions. …"

A Hash-Based Assessment and Recovery Algorithm for Distributed Healthcare Systems Using Blockchain Technology حسب Jaber, Mohammad

"…Here rises the need for an algorithm that can assess the damage that occurred before recovering the database back to its consistent state. …"
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Variable Selection in Data Analysis: A Synthetic Data Toolkit حسب Mitra, Rohan

"…This paper aims to address the significant lack of formal evaluation benchmarks for feature selection algorithms (FSAs). …"
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Information Warfare حسب Haraty, Ramzi A.

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Centroid-Based Differential Evolution with Composite Trial Vector Generation Strategies for Neural Network Training حسب El-Abd, Mohammed

"…The learning process of feedforward neural networks, which determines suitable connection weights and biases, is a challenging machine learning problems and significantly impact how well neural networks work. Back-propagation, a gradient descent-based method, is one of the most popular learning algorithms, but tends to get stuck in local optima. …"
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Transaction Dependency Based Approach for Database Damage Assessment Using a Matrix حسب Haraty, Ramzi Ahmed

"…Hence, both affected and benign transactions will be rolled back, which is a waste of time. This paper presents an algorithm that works efficiently to assess the damage caused in the database by malicious transaction and recovers it. …"
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Information reconciliation through agent controlled graph model. (c2018) حسب Saba, Rita

"…Thus, the need for a detection and recovery algorithm to assess the damage and bring the database back to its consistent state in case of an attack. …"
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Neural network-based failure rate prediction for De Havilland Dash-8 tires حسب Al-Garni, Ahmed Z.

"…An artificial neural network (ANN) model for predicting the failure rate of De Havilland Dash-8 airplane tires utilizing the twolayered feed-forward back-propagation algorithm as a learning rule is developed. …"
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NEURAL NETWORK MODEL FOR PLANNED REPLACEMENT OF BOEING 737 BRAKES حسب Al-Garni, Ahmed Z.

"…One-layered feed-forward back-propagation algorithm for artificial neural network whereas three parameters model for Weibull are used for the analysis. …"
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