Development of scalable hybrid switching-based software-defined networking using reinforcement learning by Blose, Max

“…We implement a reinforcement algorithm to randomly explore new routes and discover the most optimal path through the Q-learning algorithm. …”
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Development of scalable hybrid switching-based software-defined networking using reinforcement learning by Blose, Max

“…We implement a reinforcement algorithm to randomly explore new routes and discover the most optimal path through the Q-learning algorithm. …”
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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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Noncooperative Game-Theoretic Planning for Autonomous Driving under Imperfect Information: A Quasi-Perfect Equilibrium Approach by Mogahed, Ahmed

“…The framework’s path planner generates equilibrium waypoints by formulating the problem in sequence form as a linear complementarity problem and solving it via Lemke’s algorithm. Then, a path manager generates geometrically optimal trajectories respecting the vehicle's minimum turning radius using Dubins path optimization. …”
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Introduction to fast Super-Paramagnetic Clustering by Yelibi, Lionel

“…We map stock market interactions to spin models to recover their hierarchical structure using a simulated annealing based Super-Paramagnetic Clustering (SPC) algorithm. This is directly compared to a modified implementation of a maximum likelihood approach to fast-Super-Paramagnetic Clustering (f-SPC). …”
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Adaptive and autonomous protocol for spectrum identification and coordination in ad hoc cognitive radio network by Ohize, Henry Ohiani

“…Simulation results revealed ACS as a feasible solution for optimal dynamic control channel selection. Finally, a new channel hopping algorithm for the selection of a control channel in CRAHN was presented. …”
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Specific applications of satelite remote sensing to the Benguela ecosystem by Weeks, Scarla Jeanne

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Partitioned particle filtering for target tracking in video sequences by Louw, Markus Smuts

“…Two hundred basic particles were used per partition, with an additional one hundred augmented particles per partition, for the scan phase. The algorithm does not run in real-time, although with optimization this is a possibility.…”
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Optimisation of complex simulation models by Bezuidenhoudt,Cecile Margaret

“…Computer simulation models are widely and frequently used to model real systems to predict output responses under specified input conditions. Choosing optimal simulation parameters leads to improved operation of the model but it is still a challenge as to how to go about optimally selecting these parameter values. …”
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A model-based deep learning approach to spectrum management in distributed cognitive radio networks

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Peer-to-peer biometric verification using nfc-enabled smartphones

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Concept demonstrator for a decision support tool for agricultural applications by Van Rooyen, J. C.

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Digital soil mapping techniques across multiple landscape scales in South Africa by Trevan, Flynn

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Single queue priority scheduler for video transmission in IEEE 802.11 networks by Adeleke, Joshua Adejare

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Analysis of the effect of course structure and pattern of usage on the efficacy of online/blended courses by Oosthuizen, Andries Cornelius

“…The clValid package method was used to choose the optimal algorithm and cluster sizes. The findings show that most sites used the default tool selection, with almost half the courses adding outside tools and linking in lecture recordings. …”
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Valuing American Asian Options with Least Squares Monte Carlo and Low Discrepancy Sequences

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Anti-lock braking system performance on rough terrain

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