Abstract Destructive car crash tests are an elaborate, time-consuming, and expensive necessity of the automotive development process. Today, finite element method (FEM) simulations used to reduce costs by simulating crashes computationally. We propose CrashNet, encoder–decoder deep neural network architecture that reduces further models specific outcomes very accurately. achieve this formulatin...

Background: Preterm births are babies that are born before 37 weeks of gestation. The premature delivery of babies is regarded as a major global public health issue with those affected at greater risk of developing short and long-term complications. The care provided for premature infants has significantly improved. However, it has had no impact on reducing the prevalence of preterm birth. Ther...

Sanger sequencing is a common method of reading DNA sequences. It is less expensive than high-throughput methods, and it is appropriate for numerous applications including molecular diagnostics. However, sequencing mixtures of similar DNA of pathogens with this method is challenging. This is important because most clinical samples contain such mixtures, rather than pure single strains. The trad...

Parameter estimation method for the spatial autoregression model (SAR) is important because of the many application domains, such as regional economics, ecology, environmental management, public safety, transportation, public health, business, travel and tourism. However, it is computationally very expensive because of the need to compute the determinant of a large matrix due to Maximum Likelih...

Segments that span contiguous parts of inputs, such as phonemes in speech, named entities in sentences, actions in videos, occur frequently in sequence prediction problems. Segmental models, a class of models that explicitly hypothesizes segments, have allowed the exploration of rich segment features for sequence prediction. However, segmental models suffer from slow decoding, hampering the use...

Inmany scientiŽ c and engineering domains, it is common to analyze and simulate complex physical systems using mathematicalmodels.Althoughcomputing resources continue to increase inpower and speed, computer simulation and analysis codes continue togrowincomplexityandremain computationally expensive, limiting their use indesign and optimization. Consequently, many researchers have developed diff...

In-vitro experiments encountered many limitations in investigating the detailed mechanisms of pathological variations among cardiac ion channels and cells. It is essential to integrate in-vitro experiments with in-silico studies. However, computer model of ion channels and cardiac myocytes involves greater levels of complexity. Traditional linear and nonlinear optimization methods have encounte...

We present a computationally efficient pairwise potential for use in molecular dynamics simulations of large graphene or carbon nanotube systems, in particular, for those under mechanical deformation, and also for mixed systems including biomolecules. Based on the Morse potential, it is only slightly more complex and computationally expensive than a harmonic bond potential, allowing such large ...

As more and more intelligent sensors and sensing applications are equipped with, smartphones are becoming smarter and play a greater role in people's lives. However, due to mobile platform diversity, the development and deployment of a context-aware application for different mobile devices are time-consuming and expensive, which in fact limits the large-scale application of context-aware techno...

Unmanned aerial vehicles now make it possible to obtain high quality aerial imagery at a low cost, but processing those images into a single, useful entity is neither simple nor seamless. Specifically, there are factors that must be addressed when merging multiple images into a single coherent one. While ortho-rectification can be done, it tends to be expensive and time consuming. Image stitchi...