Zobrazeno 1 - 10
of 387
pro vyhledávání: '"Wood, Kristin"'
Autor:
Pakianathan, Pavithren V. S., Siddharth, L., Raviselvam, Sujithra, Wood, Kristin L., Lee, Hyowon, Foong, Pin Sym, Zhou, Jianying, Perrault, Simon Tangi
Owing to the increase in 'certified' phishing websites, there is a steady increase in the number of phishing cases and general susceptibility to phishing. Trust mechanisms (e.g., HTTPS Lock Indicators, SSL Certificates) that help differentiate genuin
Externí odkaz:
http://arxiv.org/abs/2403.02145
Itinerary recommendation is a complex sequence prediction problem with numerous real-world applications. This task becomes even more challenging when considering the optimization of multiple user queuing times and crowd levels, as well as numerous in
Externí odkaz:
http://arxiv.org/abs/2304.08495
Publikováno v:
Knowledge-Based Systems, 218, 106873, 2021
Data-driven conceptual design methods and tools aim to inspire human ideation for new design concepts by providing external inspirational stimuli. In prior studies, the stimuli have been limited in terms of coverage, granularity, and retrieval guidan
Externí odkaz:
http://arxiv.org/abs/2210.10104
We propose a large, scalable engineering knowledge graph, comprising sets of (entity, relationship, entity) triples that are real-world engineering facts found in the patent database. We apply a set of rules based on the syntactic and lexical propert
Externí odkaz:
http://arxiv.org/abs/2106.06739
Publikováno v:
Journal of Mechanical Design. 144(2), 2022, 020801
Design-by-Analogy (DbA) is a design methodology wherein new solutions, opportunities or designs are generated in a target domain based on inspiration drawn from a source domain; it can benefit designers in mitigating design fixation and improving des
Externí odkaz:
http://arxiv.org/abs/2106.01592
Since the start of COVID-19, several relevant corpora from various sources are presented in the literature that contain millions of data points. While these corpora are valuable in supporting many analyses on this specific pandemic, researchers requi
Externí odkaz:
http://arxiv.org/abs/2006.08369
Classification of crisis events, such as natural disasters, terrorist attacks and pandemics, is a crucial task to create early signals and inform relevant parties for spontaneous actions to reduce overall damage. Despite crisis such as natural disast
Externí odkaz:
http://arxiv.org/abs/2005.06627
Primary and secondary education is a crucial stage to build a strong foundation before diving deep into specialised subjects in colleges and universities. To excel in the current education system, students are required to have a deep understanding of
Externí odkaz:
http://arxiv.org/abs/2005.02164
The research interest in mobile robots with independent steering wheels has been increasing over recent years due to their high mobility and better payload capacity over the systems using omnidirectional wheels. However, with more controllable degree
Externí odkaz:
http://arxiv.org/abs/1911.08746
Publikováno v:
Sci. China-Phys. Mech. Astron. 64, 290311 (2021)
Deep learning has been shown to be able to recognize data patterns better than humans in specific circumstances or contexts. In parallel, quantum computing has demonstrated to be able to output complex wave functions with a few number of gate operati
Externí odkaz:
http://arxiv.org/abs/1911.02998