The design and development of GPU accelerated algorithms for ab initio integrals and integral derivatives illustrated on ab initio quantum and hybrid QM/MM dynamics by Renison, Carina Alicia

“…A speedup of up to 9.3X is achieved for an ab initio gradient calculation compared to the CPU running an optimized serial version of GAMESS-UK using the Schlegel method. …”
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Optimal integration of solar home systems and appliance scheduling for residential homes under severe national load shedding

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Utility of the biofire filmarray pneumonia panel plus assay for syndromic testing of lower-respiratory tract infections in a low-middle-income setting by Van Der Westhuyzen, Mene

“…Conclusion: The FA-PP increased the number of positive samples with typical bacteria, but the semi-quantitative reporting algorithm does not describe the correlation between the different bin values and colonization versus infection. …”
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Using SetPSO to determine RNA secondary structure

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An Analysis of Overfitting in Particle Swarm Optimised Neural Networks

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Designing and Testing Optimisation Methods for Simulating Superconducting Electronic Circuits by Davies, Anna Penelope

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Development of a mixed-flow compressor impeller for micro gas turbine application by Diener, Olaf Herbert Ferdinand

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Application of clustering techniques for improved energy benchmarking on deep-level mines by Caromba, Claudio Mauricio

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Optimal hydroponic growth of Brassica Oleracea at low nitrogen concentrations using a novel ph-based control strategy

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Yield analysis optimization of microwave devices; antennas using non-linear partial-least-squares; polynomial chaos expansion by Klink, Dieter Gert

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Designing a dynamic spectrum sharing algorithm between DCS and LTE in the 1800 MHz band: a case study of a mobile telecommunication operator in Zimbabwe by Magwa, Luckmore

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Design and optimization of an embedded machine learning image processing system with a Linux SOC for large-scale livestock tallying by Le Roux, Morne

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An Optimized LTE-Based Technique for Drone Base Station 3D Placement and Resource Allocation in Delay-Sensitive M2M Networks by Fahim, Ahmed

“…The proposed exact optimization algorithm utilizes the outer-approximation technique along with the penalty method in search of the global optimal point in the problem feasible space. …”
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BIM-Based model for the automatic generation and optimization of planning and 4-D scheduling for concrete skeleton: A graph theory approach by Essawy, Yasmeen

“…For this purpose, an intelligent framework with advanced computational tools and algorithms is designed and created to achieve a higher degree of design-construction integration and spatial integration of individual building elements in order to achieve an optimized sequencing of building elements (in terms of time and resource utilization). …”
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Implementation of clustering techniques for segmentation of Mozambican cassava suppliers by Matshabaphala, Ntebaleng Sharon

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Synthesis of optimal heat and mass exchange networks using a two-step hybrid approach including detailed unit designs by Short, Michael

“…Subsequent iterations of the network design step are then updated with information from the detailed network designs. The algorithm has certain advantages over previous methods in that the network optimisation is based on more realistic representations of the actual units therein and also that the method increases the likelihood of attaining a globally optimal solution through the generation and assessment of multiple candidate networks throughout the algorithm. …”
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Exploring the ethereum dataset with the aim of price trend prediction using the recurrent neutral network, LSTM, gated recurrent unit and an ensemble algorithm in combination with... by Van Wyk, Chad

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A deep learning algorithm for contour detection in synthetic 2D biplanar X-ray images of the scapula: towards improved 3D reconstruction of the scapula by Namayega, Catherine

“…The aim of this research project was to train and validate a deep learning algorithm for detection the contour of a scapula in synthetic 2D bi-planar Xray images. …”
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Drone Base Station Trajectory Management for Optimal Scheduling in LTE-Based Sparse Delay-Sensitive M2M Networks by Zeinab, El Sayed

“…Based on this formulation, we decided to compare between an Ant Colony Optimization (ACO) based technique that optimizes the drone movement among the sparsely-deployed MTCDs and a Genetic Algorithm (GA) based solution that achieves the same purpose. …”
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Optimal Visitation of Base Transciever Station Site: (Case Study of Vodafone Network; New Juabeng Municipality, Eastern Region, Ghana) by Ansah, Isaac

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