Supervised term-category feature weighting for improved text classification by Attieh, Joseph

“…Training the ANN using the gradient descent algorithm allows updating the term-category matrix until reaching convergence. …”
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Scheduling and allocation in high-level synthesis using stochastic techniques by Sait, Sadiq M.

“…In addition the application of tabu search (TS) to scheduling and allocation is also implemented and studied. Two implementations of TS are reported and compared. …”
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ANT-colony optimization-direct torque control for a doubly fed induction motor : An experimental validation by Said Mahfoud (17150968)

“…For that reason, this work is focused on the theoretical studies and experimental validation on dSPACE Board DS1104 of the new proposed approach based on PID speed regulation, optimized by the Ant Colony Optimization algorithm (ACO) for DTC, applied to both sides of the Doubly Fed Induction Motor (DFIM), to overcome the previous drawbacks cited at the beginning. …”

Learning-Based Automatic Modulation Classification by Abdelmutalab, Ameen Elsiddig

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Maximal clique enumeration. (c2007) by Barghout, Hamed

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Query acceleration in distributed database systems by Haraty, Ramzi A.

“…Programs were designed to implement both the original and the enhanced algorithms. …”
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Evolutionary support vector regression for monitoring Poisson profiles by Ali Yeganeh (16624998)

“…This paper aims to monitor Poisson profile monitoring problem in Phase II and develops a new robust control chart using support vector regression by incorporating some novel input features and evolutionary training algorithm. …”

Failure recovery in wireless content distribution networks with device-to-device cooperation by Sharafeddine, Sanaa

“…We present low complexity effective algorithms based on clustering and tree construction methods in order to address three different types of dynamic node behavior, namely new devices joining the network, existing devices leaving the network, and existing devices moving locally within the network. …”
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Oversampling techniques for imbalanced data in regression by Samir Brahim Belhaouari (9427347)

“…For image datasets, we employ Multi-Level Autoencoders, consisting of Convolutional and Fully Connected Autoencoders. …”

Blockchain-Based Decentralized Architecture for Software Version Control by Muhammad Hammad (17541570)

“…The proof of authority (PoA) consensus algorithm will be used to approve the developer communicating modifications to the private blockchain network; the authority will only provide permission and will not be able to add, edit, or delete code files. …”

Developing a framework for using face recognition in transit payment transactions by HABEH, ORABI MOHAMMAD ABDULLAH

“…This dissertation proposes a framework which aims to offer face recognition technology as a new payment option inside metro station. The proposed framework involves the hardware, software, algorithms, and system specification requirements. …”
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THE FUTURE OF MEDICINE, healthcare innovation through precision medicine: policy case study of Qatar by M. Walid Qoronfleh (14153088)

“…Healthcare is undergoing a transformation, and it is imperative to leverage new technologies to generate new data and support the advent of precision medicine (PM). …”

Reinforcement R-learning model for time scheduling of on-demand fog placement by Farhat, Peter

“…This choice is subject to study the demand of a particular location for services in order to maximize the resources utilization of these fogs. A simple algorithm will not be able to explore randomly changing users’ demands. …”
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Synthesis with VHDL. (c2001) by Halawi, Hatem

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Enhancing Student Services: Machine Learning Chatbot Intent Recognition for High School Inquiries by Assayed, Suha Khalil

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Localizing-ground Transmitters Using Airborne Antenna Array by Daffalla, Mirghani Moutaman

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Face Flow: Constrained Optical Flow Framework for Faces by Alkaddour, Muhannad

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An Evolutionary Meta-Heuristic for State Justification in Sequential Automatic Test Pattern Generation by El-Maleh, Aiman H.

“…In this work, we propose a hybrid approach which uses a combination of evolutionary and deterministic algorithms for state justification. A new method based on Genetic algorithms is proposed, in which we engineer state justification sequences vector by vector. …”
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An evolutionary meta-heuristic for state justification insequential automatic test pattern generation by El-Maleh, A.H.

“…In this work, we propose a hybrid approach which uses a combination of evolutionary and deterministic algorithms for state justification. A new method based on Genetic Algorithms is proposed, in which we engineer state justification sequences vector by vector. …”
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UML-based regression testing for OO software by Mansour, Nashat

“…For the second phase, we present algorithms for detecting system level changes in the interaction overview diagram. …”
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