From Climate to Contracts: Advancing Temperature Options Pricing by Hussein, Karim

“…We employ a stochastic approach based on the Ornstein-Uhlenbeck process, incorporating seasonal trends, mean reversion, and assuming monthly volatilities to model temperature dynamics. …”
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Harnessing ML and IIoT for Traceability in Continuous Production Systems: A Conceptual Framework by Abdelaal, Kholoud M

“…Verification results showed a ~30% improvement in material recording accuracy, a 90% reduction in data entry time, and the elimination of 60 minutes of stocktaking stoppage per shift. …”
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A performance measurement model for a service partnership by Lategan, Jacobus Petrus

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Reducing jitter utilising adaptive pre-emphasis FIR filter for high speed serial links

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Study of enzymatic hydrolysis to improve sugar production from steam-pretreated sweet sorghum bagasse and triticale straw by Pengilly, Carli

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Investigating the treatment optimisation of a pilot-scale Anaerobic Sequencing Batch Reactor (AnSBR) and partial characterisation of the winery wastewater using Near-infrared (NIR)... by Edwards, Richard Frederick

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Empirical modelling in non-linear predictive control : a coffee roaster application

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Modelling uranium leaching kinetics

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Development of a heuristic methodology for designing measurement networks for precise metal accounting by Bepswa, Paul Aaron

“…These were referred to as 'mathematical heuristics' and are based on the general principle of variance reduction through data reconciliation. It was hypothesised that data reconciliation can be used to target variance reduction for selected measurements by exploiting characteristics of entire measurement networks as well as individual measurement characteristics.…”
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Heat inactivation and survival of Listeria monocytogenes during polony production and shelf life

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Cotton textile industry in Zambia: The economic viability of revamping Mulungushi Textiles Limited by Munoni, Chiluba Mercy

“…The study analyzes mainly qualitatively both primary and secondary data. Primary data was principally sourced through interviews and observations, while secondary data was through online and physical sources such as books, reports and other written publications. …”
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System level simulation of digital designs : a case study by Carter, Grant Russel

“…Test data was produced and read into the model. The processed data was output and the results analysed. …”
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Calibration of airborne L-, X-, and P-band fully polarimetric SAR systems using various corner reflectors by Algafsh, Abdullah

“…The increase of information with respect to scalar radar comes at a price, not only for the high cost of building the radar system and processing the data or increasing the complexity of the design, but also for the amount of effort needed to calibrate the data. …”
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Artificial neural networks for state estimation of electric power systems by Zivanovic, Rastko

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Deconstruction for selective reuse of structural building elements – a case study to identify opportunities and challenges

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Evaluating near infrared hyperspectral imaging as a complimentary rapid screening tool for food microbiology by Mapling, Celeste Nadine

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Micro-doppler classification of humans and animals using FMCW radar by Manga, Amisha

“…Principal Component Analysis (PCA) was employed as the method for data reduction. The dataset was subsequently classified and evaluated across various target class configurations, comparing both the full dataset and its PCA-reduced versions, using Convolutional Neural Networks (CNN), k-Nearest Neighbors (kNN), Random Forest (RF) and Support Vector Machine (SVM) models. …”
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Characterisation of the structural motifs Involved in the cleavage and secretion of human angiotensin-converting enzyme by Conrad, Nailah

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