A Model for the Sustainable Achievement of the Optimum Return for Crops in Greenhouses by ElNahas, Eman

“…This study provides a tool for accurate estimation of the irrigation water needs for various crop combinations under different environmental conditions; and employs a genetic optimization algorithm to reach optimum combinations. …”
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Improving the scalability of MAC protocols in wireless mesh network by Velempini, Mthulisi

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Efficient radio resource management in next generation wireless networks by Obayiuwana, Enoruwa

“…In this thesis, an Adaptive Thinning Mobility Aware (ATMA) Call Admission Control (CAC) algorithm for improving the QoS and radio resource utilization of the mobile hotspot networks, which are of critical importance for communicating nodes in moving wireless networks is proposed. …”
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An investigation into the use of the vanadium redox flow energy storage system for peak-shaving and load-leveling by Diko, Mpho

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

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Multi-Slot Cooperative Spectrum Sensing for Cognitive Radio Networks by Kombani, Ngonidzashe Gideon

“…Results also show that the soft fusion decision algorithm outperforms the hard fusion algorithm in energy sensing in terms of detection accuracy.…”
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Machine learning methods for large deviations by Cloete, Daniël Willem Hendrik

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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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Efficient access network selection and data demand prediction for 5G systems by Paul, Udita

“…Based on the traffic analysis, the ideal placement of the data centre is formulated as a facility location problem and solved using the Weiszfeld’s algorithm. Additionally, based on the traffic analysis, the optimal dimensions of the data centre in different regions are heuristically obtained. …”
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Recursive marginal quantization: extensions and applications in finance by Rudd, Ralph

“…When applied to two-factor models, recursive marginal quantization becomes computationally inefficient as the optimization problem usually requires stochastic methods, for example, the randomized Lloyd’s algorithm or Competitive Learning Vector Quantization. …”
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The application of neural differential equations to enzymatic time-series by Heusdens, Danica Aimee

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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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Hierarchical model predictive control of a venlo-type greenhouse

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Reliable Outdoor Ai-Based Autonomous Uav Localization and Trajectory Tracking Using Cellular Networks by Afifi, Ghada

“…We utilize conventional optimization methods to determine the optimal bound of the solution of the reliable UAV navigation problem. …”
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Multi-path planning and multi-body constrained attitude control by Okoloko, Innocent

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Routing in packet switched computer communication networks by Inglesby, Paul

“…This thesis concerns the optimization of the routing path in packet-switched computer-communication networks. …”
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Efficient energy management in ultra-dense wireless networks by Wambi, Paul James

“…Finally, the statistical and mathematical results generated through the simulations indicate that the proposed scheme is the closest in NEE performance to the Exhaustive Search algorithm, and hence superior to the other sub-optimal algorithms it is compared to.…”
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Analysis of RED packet loss performance in a simulated IP WAN

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Inter-cell interference coordination in 5G ultra-dense networks by Afolalu, Oladele Felix

“…An iteratively adaptive Algorithm is then developed to find optimal solution for the problem. …”
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Genetic Programming Approach for Nonstationary Data Analytics

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