A Parallel Neural Networks Algorithm for the Clique Partitioning Problem حسب Harmanani, Haidar M.

"…The clique partitioning problem has important applications in many areas including VLSI design automation, scheduling, and resources allocation. In this paper we present a parallel algorithm to solve the above problem for arbitrary graphs using a Hopfield Neural Network model of computation. …"
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A Neural Networks Algorithm for the Minimum Colouring Problem Using FPGAs† حسب Harmanani, Haidar

"…The proposed algorithm has a time complexity of O(1) for a neural network with n vertices and k colours. …"
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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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Robust Variable Structure Control Approach of Two Series-Connected Five-Phase PMSMs Under Healthy and Faulty Operation Modes حسب Ali Ajmi (17983771)

Genetic and heuristic algorithms for regrouping service sites. (c2000) حسب Tabbara, Hiba

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On Higher-Order Iterative Learning Control Algorithm in Presence of Measurement Noise حسب Saab, Samer S.

"…This class of ILC algorithms have been proposed aiming at improving the learning efficiency and performance. …"
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Prediction of EV Charging Behavior Using Machine Learning حسب Shahriar, Sakib

"…Using data-driven tools and machine learning algorithms to learn the EV charging behavior can improve scheduling algorithms. …"
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A flexible genetic algorithm-fuzzy regression approach for forecasting: The case of bitumen consumption حسب Azadeh, Ali

"…Given the importance of bitumen as a fundamental material in construction projects, it is imperative to have an accurate forecast of its consumption in the planning and material sourcing phases on the project. This study aims to introduce a flexible genetic algorithm-fuzzy regression approach for forecasting the future bitumen consumption. …"
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An Optimized Feature Selection Technique in Diversified Natural Scene Text for Classification Using Genetic Algorithm حسب Ghulam Jillani Ansari (16896342)

"…The obtained results proved that the proposed algorithm performs well while classifying textual and non-textual region with better accuracy than benchmark state-of-the-art algorithms.…"

Limiting the Collection of Ground Truth Data for Land Use and Land Cover Maps with Machine Learning Algorithms حسب Usman Ali (6586886)

"…UDST has become and first national applied University in Qatar; it is also second national University in the country.</p>…"

A Framework for Predictive Modeling in Sustainable Projects حسب Labban, Tarek

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Adaptive Secure Pipeline for Attacks Detection in Networks with set of Distribution Hosts حسب ALSHAMSI, SUROUR

"…The research work carried out, in relation to attack detection ensemble learning, mainly aims to increase the performance of machine learning algorithms by combining their results. …"
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Multidimensional Gains for Stochastic Approximation حسب Saab, Samer S.

"…Two algorithms are proposed: one for the case where M≥ N and the second one for the antithesis. …"
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Machine Learning-Based Approach for EV Charging Behavior حسب Shahriar, Sakib

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Design of a vibration absorber for harmonically forced damped systems حسب Issa, Jimmy

"…Two different numerical approaches are used in solving the problem; the first is based on the genetic algorithm technique and the second on the downhill simplex method. …"
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Dynamic Spectrum Scheduling and Management in Centralized Cognitive Radio Networks حسب Sweileh, Omar Khalid

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A modified optimal design of a vibration absorber for ground motion isolation حسب Issa, Jimmy S.

"…The first is based on the genetic algorithm technique and the second on the downhill simplex method. …"
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Regression testing C# programs. (c2007) حسب Staitieh, Wael

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Towards a self-powering greenhouse using semi-transparent PV: Utilizing hybrid BESS-hydrogen energy storage system حسب Mohammadreza Gholami (17032317)

"…This study presents two main contributions to the field: first, it investigates the integration of semi-transparent photovoltaic (STPV) technology with a hybrid battery energy storage system (BESS) and hydrogen (H2) storage in greenhouse applications. Second, by employing a comprehensive approach with the GBO algorithm, the research examines various scenarios as a multi-objective optimization problem, balancing economic considerations such as net present value (NPV) and energy dependency (ED). …"

Towards a self-powering greenhouse using semi-transparent PV: Utilizing hybrid BESS-hydrogen energy storage system حسب Gholami, Mohammadreza

"…This study presents two main contributions to the field: first, it investigates the integration of semi-transparent photovoltaic (STPV) technology with a hybrid battery energy storage system (BESS) and hydrogen (H2) storage in greenhouse applications. Second, by employing a comprehensive approach with the GBO algorithm, the research examines various scenarios as a multi-objective optimization problem, balancing economic considerations such as net present value (NPV) and energy dependency (ED). …"
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