Autonomous Demand-Side Management in the Future Smart Grid by Assaf, Tasneem Mohammad

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Nested ensemble selection: An effective hybrid feature selection method by Kamalov, Firuz

“…Numerical experiments on synthetic and real-life data demonstrate the effectiveness of the proposed method. The NES algorithm achieves perfect precision on the synthetic data and near optimal accuracy on the real-life data. …”
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Timing driven genetic placement by Sait, Sadiq M.

“…At early generations, the search is biased toward solutions with superior timing characteristics. As the algorithm starts converging towards generations with acceptable delay properties, the objective is dynamically adjusted toward optimizing area and routability. …”
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Security in wire/wireless networks: sniffing attacks prevention/detection techniques in LAN networks & the effect on biometric technology by Al-Hemairy, Moh'd Hussain

“…Based on the surprising experimental results done by a previous study in the security lab which proposed an optimal algorithm to enhance their ability against the two famous network attacks; we implemented the proposed algorithm by this study and stimulate the experiment in order to test the algorithm performance. …”
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Seasonal variations in feed-water chemistry and fouling dynamics of reverse-osmosis systems: A global climate lens by Nasser Zareei (22921226)

“…Future installations should align membrane materials, pretreatment systems, and control algorithms with site-specific hydrological calendars.…”

Enhancement of two-dimensional holographic images by resolutionimprovement through hologram aperture expansion by Abdel-Aal, R.E.

“…The application of the 1-D aperture expansion algorithm to 2-D holograms is demonstrated for the cases of 1-point, 2-point, and quasi-continuous objects in the presence of noise. …”
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Economic Production Lot-Sizing For An Unreliable Machine Under Imperfect Age-Based Maintenance Policy by El-Ferik, S

“…Some useful properties of the cost function are developed to characterize the optimal policy. An algorithm is also proposed to find the optimal solutions to the problem at hand. …”
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A novel approach for real time flows scheduling by Fawaz, W.

“…In this regard, the so-called EDF algorithm attracted special attention since it is prominent for optimally managing flows with strict time constraints. …”
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Shuffled Linear Regression with Erroneous Observations by Saab, Samer S.

“…This paper tackles this problem in its full generality using stochastic approximation, which is based on a first-order permutation-invariant constraint. We propose an optimal recursive algorithm that updates the estimate from the underdetermined function that is based on that permutation-invariant constraint. …”
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A hybrid EDF/FIFO queue for efficient real time flow handling by Fawaz, W.

“…In an attempt to meet the stringent time constraints of real time flows, several scheduling algorithms have been proposed in the literature. Among such algorithms, the so-called EDF algorithm is widely known for its optimal management of flows with strict time constraints, when compared with the standard FIFO algorithm. …”
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A learning approach for prioritized handoff channel allocation in mobile multimedia networks by El-Alfy, E.-S.M.

“…Furthermore, it is asymptotically optimal, computationally inexpensive, model-free, and can adapt to changing traffic conditions. …”
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Optimum Track to Track Fusion Using CMA-ES and LSTM Techniques by Fares, Samar

“…The first method uses an offline technique based on a global optimizer called the CMA-ES algorithm and the second one uses LSTM in its different forms to learn the online adjustment of the fusion weights between the two tracks. …”
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Multi Agent Reinforcement Learning Approach for Autonomous Fleet Management by Alhusin, Mohammed Omer Alamin

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Estimating Vehicle State by GPS/IMU Fusion with Vehicle Dynamics by Saadeddin, Kamal Mohamad

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A nash bargaining solution for energy-efficient content distribution over wireless networks with mobile-to-mobile cooperation by Yaacoub, Elias

“…Furthermore, a low complexity utility minimization algorithm is presented. Using the appropriate utilities, the proposed algorithm is used to implement both the proposed solution in addition to the greedy energy minimization solution. …”
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Design and analysis of entropy-constrained reflected residual vector quantization by Mousa, W.A.H.

“…Residual vector quantization (RVQ) is a vector quantization (VQ) paradigm which imposes structural constraints on the encoder in order to reduce the encoding search burden and memory storage requirements of an unconstrained VQ. Jointly optimized RVQ (JORVQ) is an effective design algorithm for minimizing the overall quantization error. …”
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Optimisation of PV Cleaning Practices: Comparison Between Performance Based and Periodic Based Approaches by ALHAJERI, RASHED ABDULLA

“…It is important to choose the correct cleaning method, frequency, and approach to ensure that the best practices are being used on the basis of both economic and technical criteria. To optimize the cleaning practices, an algorithm was developed by the author based on the literature review and economic analysis, and was run for multiple panels and tilts at the DEWA OTF solar lab in Dubai, UAE. …”
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Improving Active Resonance Damping and Unbalanced Voltage Mitigation Based on Combined DDSRF and Washout Filter in Islanded Microgrids by Ehsan Akbari (10803914)

“…The presented control algorithm can perform optimally under dynamic changes of active and reactive power of nonlinear and imbalanced loads. …”

A GRASP Approach for Solving Large-Scale Electric Bus Scheduling Problems by Raka Jovanovic (17947838)

“…To be more precise, a greedy randomized adaptive search procedure (GRASP) algorithm is developed and its performance is evaluated against optimal solutions acquired using the MIP. …”

Developing a Cooperative Behavior for Multi Agents System Application to Robot Soccer by Idlan, Ayman Hashim

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