Design development of brushless doubly fed machines by Olubamiwa, Oreoluwa

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Machine Learning Multimodal Framework for Fake News Detection and Mitigation by GabAllah, Nada A

“…Furthermore, the study will assess how the spread of news through social networks influences the identification of fake news and how the combination of propagation features with textual features can improve detection processes. Ultimately, the research will seek to identify the most effective approach for integrating these approaches to advance the reliability of fake news detection on social media platforms through proposing the Multimodal model. …”
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The modern asset: Big Data and Information Valuation by Stander, Jacques B.

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Strategic communication in alliances : perceptions of alliances partners on relationship outcomes

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A comparison framework for deep learning RFI detection algorithms in radio astronomy by Du Toit, Charl

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Experimental investigation of non-linearities in thermoacoustic systems: Streaming, transition to turbulence and entrance effects by Ramadan, Islam Ahmed Elsayed

“…The transition to turbulence process is identified by measuring the turbulence intensities. …”
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Identification of critical success factors for enhancing virtual project team performance in South Africa's local government context by Lande, Kwanda

“…The research participants for this study identified 20 CSFs using Interactive Management methodology techniques linked to CSF generation, and CSF clarification processes. Moreover, research participants generated an Interpretive Structural Model (ISM) that illustrates the CSFs that "significantly help to achieve” other CSFs. …”
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Improving the fluid phase-boundary predictions of (solvent + lldpe) systems of commercial interest by Swanepoel, Riccardo Marlouw

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Equity in access and utilization of cervical cancer treatment and palliation services in Harare, Zimbabwe

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Development of a demand response programme for the coal mining industry by Pretorius, Coenraad Benjamin

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A decision support tool for implementing machine learning in SME manufacturing companies by Van Coller, Christiaan

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Dynamic system evaluation of fluctuating processor raw material on value chain financial sustainability

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A Chain of findings for digital investigations

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Diagnosis and prognosis of rolling element bearings at low speeds and varying load conditions using higher order statistics and artificial intelligence

“…This is because if a process is Gaussian then HOS provide no additional information that can be obtained from the second or higher order statistics. …”
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Online boiler convective heat exchanger monitoring: a comparison of soft sensing and data-driven approaches by Prinsloo, Gerto

“…The soft sensor approach is based on a one-dimensional thermofluid process model which takes measurements as inputs and calculates unmeasured variables as outputs. …”
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An environmental evaluation methodology for improving resource allocation decisions : a treatise with selected South African case studies by Stauth, Roy Bryan

“…One aim was to provide a rational philosophical framework for guiding resource evaluation and decisionmaking processes. The second - and principal - aim was to develop a reliable and practical method for evaluating those resource allocation proposals which are particularly controversial. …”
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Repair of Dolos breakwaters with larger layered Dolos units by Olivier, Tianca

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An experimental study of organisational change and communication management

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Investigating the significance of reputational risk In banks' financial performance by Zinzindohoue, Senan Joseph Fitzgerald

“…The comprehensive and systematic process of identifying operational losses resulted in the selection of 61 instances of internal fraud. …”
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Cultural predictions of entrepreneurial orientation and the moderating role of entrepreneurial competencies on graduate entrepreneurial intentions: A cross-sectional survey of East... by Katono, Isaac Wasswa

“…The second phase utilized structural equation modeling (SEM) based on latent variables (using AMOS 23) to first estimate a CFA model, followed by a structural baseline model for all data combined (omnibus model) in step 6. …”
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