Micro-expressions, fleeting and subtle facial expressions, possess significant application potential. However, their brief duration, low intensity, and localized motion pose challenges for traditional detection method...
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With the advancement of computational network science,its research scope has significantly expanded beyond static graphs to encompass more complex *** introduction of streaming,temporal,multilayer,and hypernetwork app...
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With the advancement of computational network science,its research scope has significantly expanded beyond static graphs to encompass more complex *** introduction of streaming,temporal,multilayer,and hypernetwork approaches has brought new possibilities and imposed additional *** instance,by utilising these advancements,one can model structures such as social networks in a much more refined manner,which is particularly relevant in simulations of the spreading ***,the pace of advancement is often too rapid for existing computational packages to keep up with the functionality *** results in a significant proliferation of tools used by researchers and,consequently,a lack of a universally accepted technological stack that would standardise experimental methods(as seen,e.g.,in machine learning).This article addresses that issue by presenting an extended version of the Network Diffusion ***,a survey of the existing approaches and toolkits for simulating spreading phenomena is shown,and then,an overview of the framework ***,we report four case studies conducted with the package to demonstrate its usefulness:the impact of sanitary measures on the spread of COVID-19,the comparison of information diffusion on two temporal network models,and the effectiveness of seed selection methods in the task of influence maximisation in multilayer *** conclude the paper with a critical assessment of the library and the outline of still awaiting challenges to standardise research environments in computational network science.
The objective of this paper is to create an algorithm which performs better than current algorithms for rain prediction on any dataset. The proposed hybrid model is evaluated on the Delhi dataset because it was the on...
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Stock price prediction is a necessary topic in economics finance which has ignited the interest of various researchers over the decade to research for better predictive models. The model ARIMA i.e., Auto Regressive In...
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Ovarian cancer remains a significant challenge in oncology due to its high mortality rates, often attributed to late-stage diagnosis and lack of effective screening methods. Biomarkers are essential for the precise id...
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Systems Analysis and Design, a second-year subject offered over two semesters, is experienced as challenging. The subject is offered at a South African university and form part of several baccalaureus courses, of whic...
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ISBN:
(纸本)9781917204194
Systems Analysis and Design, a second-year subject offered over two semesters, is experienced as challenging. The subject is offered at a South African university and form part of several baccalaureus courses, of which the BSc. Information Technology course is the most prominent. Several reasons contribute to the situation where a substantial percentage of students struggle to pass the first of two modules;the extensive theoretical concepts covered, the necessity to understand their implementation, and the ability to apply the theory in real-life scenarios simulated in a learning context. To address this issue, the class was split, to afford repeating students inverted learning with a gaming focus. The selection of games was aiming to suit the type of learning that was expected to take place. In support, students competed in their project groups. Students new to the module were taught as per the status quo. The mixed method enquiry of this changed setting focused on the group of repeating students. Quantitative data extracted focused on the success of students as repeaters, and their evaluation of the module compared to newcomer students. Qualitative data was gathered using interviews with purposively selected participants who passed the first semester as a repeating student and improved much based on the difference in participation marks, before and after the intervention. Qualitative data analysis focused on identifying codes to allow the categorization of responses into categories to elucidate the value of this endeavour. The participants on which reporting of this paper focuses, formed part of a larger study with a wider perspective. In this paper the focus is on the impressions of the individual regarding this experience. The intervention reported on occurred over a four-year period and was concluded six years ago. This allowed participants to complete their studies and start a career. Results show that the intervention did have a substantial impact on the prog
Knowledge graphs play a pivotal role in information retrieval, yet their effectiveness can be further optimized. This paper introduces a comprehensive approach to enriching knowledge graphs, addressing contemporary ch...
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In the rapidly evolving landscape of the Metaverse, enhanced by blockchain technology, the efficient processing of data has emerged as a critical challenge, especially in wireless communication systems. Addressing thi...
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Recent studies show that there is a big gap between industry and academia in the field of software engineering. This means that undergraduates often do not have the knowledge and skills that companies are looking for....
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This framework outlines a multi-stage methodology for 3D face reconstruction driven by advancements in deep learning. The process involves image preprocessing with deblurring techniques and subsequent feature extracti...
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