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A New Approach to Detect Hand-Drawn Dashed Lines in Engineering Sketches
(MDPI, 2024-05-09)
Sketched drawings sometimes include non-solid lines drawn as sets of consecutive strokes. They represent dashed lines, which are useful for various purposes. Recognizing such dashed lines while parsing drawings is reasonably ...
The Use of Machine Learning Techniques for Optimal Multicasting in 5G NR Systems
(IEEE, 2022-09-28)
Multicasting is a key feature of cellular systems, which provides an efficient way to simultaneously disseminate a large amount of traffic to multiple subscribers. However, the efficient use of multicast services in ...
Periodically Correlated Space-Time Autoregressive Hilbertian Processes
(Atlantis Press, 2021-06)
In this paper, we introduce periodically correlated space-time autoregressive processes with values in Hilbert spaces. The existence conditions and the strong law of large numbers are established. Moreover, we present an ...
Directional analysis for point patterns on linear networks
(Wiley, 2020)
Statistical analysis of point processes often assumes that the underlying process is isotropic
in the sense that its distribution is invariant under rotation. For point processes on R2
,
some tests based on the K- and ...
Single and coupled Helmholtz resonators for low frequency sound manipulation
(American Institute of Physics, 2022-08-12)
In this work, we use the finite element method to study the acoustic properties of single and coupled Helmholtz resonators (HRs). Each HR consists of a sphere drilled with one or several small openings. For a single HR, ...
A Bayesian machine learning approach for spatio-temporal prediction of COVID-19 cases
(Springer, 2022)
Modeling the spread of infectious diseases in space and time needs to take care of complex dependencies and uncertainties. Machine learning methods, and neural networks, in particular, are useful in modeling this sort of ...
Roadmap on digital holography
(Optica Publishing Group, 2021-10-12)
This Roadmap article on digital holography provides an overview of a vast array of research activities in the field of digital holography. The paper consists of a series of 25 sections from the prominent experts in digital ...
A mechanistic spatio-temporal modeling of COVID-19 data
(Wiley-VCHGmbH, 2022-08-07)
Understandingtheevolutionofanepidemicisessentialtoimplementtimelyandefficient preventive measures. The availability of epidemiological data at a finespatio-temporal scale is both novel and highly useful in this regard. ...
Quadratic phase coding for SNR improvement in time-expanded phase-sensitive OTDR
(Optical Society of America, 2021-09-01)
Time-expanded phase-sensitive optical time-domain reflectometry (TE − 8OTDR) is a dual-comb-based distributed
optical fiber sensing technique capable of providing centimeter scale resolution while maintaining a remarkably
low ...
Egocentric video summarisation via purpose-orientedframe scoring and selection
(ElsevierPergamon, 2021-11-02)
Existing video summarisation techniques are quite generic in nature, since they generally overlook the important aspect of what actual purpose the summary will be serving. In sharp contrast with this mainstream work, it ...