Zobrazeno 1 - 10
of 5 470
pro vyhledávání: '"Domain-Specific Language"'
Publikováno v:
Journal of Universal Computer Science, Vol 30, Iss 8, Pp 1023-1047 (2024)
Software architects and developers often use Domain-Specific Languages (DSLs) to model or code applications. However, designing a DSL that effectively represents its domain can be a challenge, potentially contributing to poor uptake and usage. To the
Externí odkaz:
https://doaj.org/article/7fad20f103ed46ab9fc41f458a91691c
Publikováno v:
Journal of Biomedical Semantics, Vol 15, Iss 1, Pp 1-11 (2024)
Abstract Background Vaccines have revolutionized public health by providing protection against infectious diseases. They stimulate the immune system and generate memory cells to defend against targeted diseases. Clinical trials evaluate vaccine perfo
Externí odkaz:
https://doaj.org/article/6d52f7bfc2784c118caf53e8b65e9056
Publikováno v:
工程科学学报, Vol 46, Iss 1, Pp 109-119 (2024)
The importance of smart contracts at the legal level is increasing. However, the contract is written in natural language, and the computers cannot process it directly. Thus, accurately understanding contract content and meaning representation remains
Externí odkaz:
https://doaj.org/article/53e62acf029c480585c11a719df3566f
Publikováno v:
IEEE Access, Vol 12, Pp 143058-143073 (2024)
The Internet of Things (IoT) has revolutionized numerous sectors, with healthcare being a prominent beneficiary. One key area of advancement is Ambient Assisted Living (AAL), which leverages Information and Communication Technologies (ICT) like IoT t
Externí odkaz:
https://doaj.org/article/98c8d747f6894da9af5b146ce105d29d
Publikováno v:
IEEE Access, Vol 12, Pp 86809-86830 (2024)
Rapid technological advancements have resulted in increasingly complex software systems, posing challenges during development in terms of time and cost. Adopting domain-specific modeling (DSM) brings numerous benefits to software engineering, includi
Externí odkaz:
https://doaj.org/article/8132f965cccc42b0a7a084d7db1b54f9
SlidingConv: Domain-Specific Description of Sliding Discrete Cosine Transform Convolution for Halide
Publikováno v:
IEEE Access, Vol 12, Pp 7563-7583 (2024)
Filtering is a fundamental tool in image processing, and its acceleration affects many applications. Therefore, various algorithmic and hardware accelerations have been proposed for filtering. Recursive processing using infinite impulse response (IIR
Externí odkaz:
https://doaj.org/article/b456434010e64f61b18ede24be952d79
Publikováno v:
Tongxin xuebao, Vol 44, Pp 249-259 (2023)
In order to address the issue of rapid growth of program space in SQUARES, which led to low efficiency in program synthesis, a program space reducer based on deep neural network (DNN) was introduced into the SQUARES framework.A given ＆lt;Queried ta
Externí odkaz:
https://doaj.org/article/378cde62a56040e899e7a606e1119f6e
Publikováno v:
Applied Sciences, Vol 14, Iss 14, p 6193 (2024)
Machine learning (ML) has emerged as a powerful tool in multiple sclerosis (MS) research, enabling more accurate diagnosis, prognosis prediction, and treatment optimization. However, the complexity of developing and deploying ML models poses challeng
Externí odkaz:
https://doaj.org/article/835a6da9628d4d1f86391d79caa558e3
Publikováno v:
PeerJ Computer Science, Vol 10, p e1835 (2024)
Maintenance of Data Warehouse (DW) systems is a critical task because any downtime or data loss can have significant consequences on business applications. Existing DW maintenance solutions mostly rely on concrete technologies and tools that are depe
Externí odkaz:
https://doaj.org/article/24e6d3a2d177430891b4bf3789a5f15f
Autor:
Vijanti Ramautar, Sergio España
Publikováno v:
Complex Systems Informatics and Modeling Quarterly, Vol 0, Iss 34, Pp 1-29 (2023)
Assessing business operations’ ethical, social, and environmental impacts is a key practice for establishing sustainable development. There is a multitude of methods that describes how to perform such assessments. Often these methods are supported
Externí odkaz:
https://doaj.org/article/373e98351be24a2eb73b6a8fd4d74008