Efficient radio resource management for the fifth generation slice networks by Oladejo, Sunday Oladayo

“…Therefore, there is a need to develop efficient radio resource management algorithms that address the above mentioned technical challenges. …”
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Detecting Electrical Submersible Pump (ESP) Failures and Estimating Run Life Using Artificial Neural Networks by Sobhy, Mostafa Ahmed

“…Concurrently, the failure classification module identifies ten distinct failure types with F1 scores exceeding 0.95, utilizing a suite of complementary algorithms. The datasets were cleaned and preprocessed to address missing values, inconsistencies, and other data quality issues. …”
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Dynamics and Energy Management of Electric Vehicles by Van Schalkwyk, Daniel Jacobus

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Using population-based incremental learning to optimize feasible distribution logistic solutions by Lourens, Tobie

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Anti-lock braking system performance on rough terrain

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Approximation approaches for training neural network problems with dynamic mini-batch sub-sampled losses

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Novel motion capture methods for sports analysis : case studies of cycling and rugby goal kicking by Cockroft, Stephen John

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Development and testing of a laboratory digital controller by Closel, Andre Gerard

“…Finally a brief study was made of the other possibilities of the controller and its algorithms.…”
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Development of scalable hybrid switching-based software-defined networking using reinforcement learning by Blose, Max

“…We are therefore of the opinion that the hybrid switching model proposed utilizing machine learning algorithms can address the scalability issues in the design of SDN controller networks, particularly in data centre environments where high switching speeds are of paramount importance.…”
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Development of scalable hybrid switching-based software-defined networking using reinforcement learning by Blose, Max

“…We are therefore of the opinion that the hybrid switching model proposed utilizing machine learning algorithms can address the scalability issues in the design of SDN controller networks, particularly in data centre environments where high switching speeds are of paramount importance.…”
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A framework for evaluating clinical data using graph-based link prediction by Parshotam, Himil

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Blaze-DEM : a GPU based large scale 3D discrete element particle transport framework

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Optimal energy management for a grid-tied solar PV-battery microgrid: A reinforcement learning approach by Muriithi, Grace

“…In the trading algorithm case, excess microgrid's energy can be sold back to the utility to increase revenue, while in the latter case constraining rules are embedded in the designed EMS to ensure that no excess energy is sold back to the utility. …”
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Energy management of micro-grid using cooperative game theory by Oladejo, Ismaheel Oyeyemi

“…This is in contrast with other heuristic algorithms such as genetic algorithm (GA) and particle swarm optimization (PSO) that require other control parameters (i.e. …”
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A remote sensing-machine learning framework for modelling forest health by Poona, Nitesh Keshavelal

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Enhanced LSMC for Valuation of Options by Mekawy, Amr

“…Among these instruments are Options, which regardless of their complexity, can be an extremely versatile tool to be utilized across a wide range of different markets. …”
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Fluoroscopy based needle-positioning system for percutaneous nephrolithotomy procedures by Conradie, Jean-Pierre

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Optimization of Pile Construction Sequence Using CFA Machines by Ammar, Omar Wael

“…The research methodology involves developing a genetic algorithm code that incorporates time-space constraints to model the temporal lags between piles in proximity. …”
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Modeling of generalized families of probability distribution in the quantile statistical universe

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SDN-Enabled Data Offloading and Load Balancing In WLAN and Cellular Networks by Ashipala, Aili Kanee

“…This dissertation proposes a traffic offloading and load balancing algorithm between cellular and Wi-Fi networks, to enhance the overall utilization of cellular network. …”
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