Zobrazeno 1 - 10
of 905
pro vyhledávání: '"simulation environment"'
Publikováno v:
Yuanzineng kexue jishu, Vol 58, Iss 10, Pp 2139-2152 (2024)
Oxygen is the most promising non-metallic inhibitor in lead-bismuth cooled fast reactors (LFRs). The addition of oxygen to the coolant can format a protective oxide layer on the surface of structural materials, which will effectively alleviate the co
Externí odkaz:
https://doaj.org/article/f471d6bc0781422b978eb7bb9358820e
Autor:
Nouf Abdullah Almujally, Adnan Ahmed Rafique, Naif Al Mudawi, Abdulwahab Alazeb, Mohammed Alonazi, Asaad Algarni, Ahmad Jalal, Hui Liu
Publikováno v:
Frontiers in Neurorobotics, Vol 18 (2024)
IntroductionWhen it comes to interpreting visual input, intelligent systems make use of contextual scene learning, which significantly improves both resilience and context awareness. The management of enormous amounts of data is a driving force behin
Externí odkaz:
https://doaj.org/article/22295f5bb1b24d0f887e819472ae02f5
Autor:
Boseon Kang, Wonhyuk Yun
Publikováno v:
IEEE Access, Vol 12, Pp 170620-170631 (2024)
Modern naval warfare environment is becoming increasingly complex, with acoustic-based torpedoes being the most significant threat to submarines. It is essential to develop advanced technologies to enhance submarine survival rates. In this paper, we
Externí odkaz:
https://doaj.org/article/1c15f0761b7444b894013e66cd41542a
Publikováno v:
IEEE Access, Vol 12, Pp 43721-43733 (2024)
Automated and connected vehicles are emerging in the market. Currently, solutions are being proposed to use these technologies for cooperative driving, which can significantly improve road safety. Vehicular safety applications must be tested before d
Externí odkaz:
https://doaj.org/article/a0378a22658542919736e215bafa97f3
Autor:
Maksim I. Kochergin
Publikováno v:
Naučno-tehničeskij Vestnik Informacionnyh Tehnologij, Mehaniki i Optiki, Vol 23, Iss 6, Pp 1162-1170 (2023)
The paper analyzes the features of representing artificial neural networks in Simulink and SimInTech. Examples of visual schemes (models) built in these modeling environments using neural network blocks are given. The following shortcomings of such
Externí odkaz:
https://doaj.org/article/700041c2f45249e1bbd5a54b5e4b765f
Autor:
Vincent Abella, Johnfil Initan, Jake Mark Perez, Philip Virgil Astillo, Luis Gerardo Cañete, Gaurav Choudhary
Publikováno v:
Future Internet, Vol 16, Iss 8, p 277 (2024)
In-store grocery shopping is still widely preferred by consumers despite the rising popularity of online grocery shopping. Moreover, hardware-based in-store navigation systems and shopping list applications such as Walmart’s Store Map, Kroger’s K
Externí odkaz:
https://doaj.org/article/127863b2d1394298808fa9a0dbb7b622
Publikováno v:
Heliyon, Vol 10, Iss 4, Pp e25706- (2024)
This study evaluates the effectiveness and reliability of Multi-scale Multiphysics Selective Laser Melting (SLM) Simulation Environments. A literature review and bibliometric analysis were conducted to identify the most widely used SLM Simulation Env
Externí odkaz:
https://doaj.org/article/6fe51b5220454201832418cb00385776
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
Dispatch command business is an essential and important part of modern society's production and life. With the development of science and technology, the use of AI-assisted construction of simulation training environments is of enormous significance
Externí odkaz:
https://doaj.org/article/88f818c281c04c8a8866cf2247fa968e
Publikováno v:
IEEE Access, Vol 11, Pp 141871-141888 (2023)
High-Performance computing provides a new infrastructure for scientific calculation and its simulation. However, unbalanced load distribution among the processors causes a decreased performance in such computations, and creates a massive requirement
Externí odkaz:
https://doaj.org/article/e8104eb6963c476f8d0f90f79e92ae2f
Autor:
Francesco Bellotti, Luca Lazzaroni, Alessio Capello, Marianna Cossu, Alessandro De Gloria, Riccardo Berta
Publikováno v:
IEEE Access, Vol 11, Pp 28522-28550 (2023)
As deep learning models have become increasingly complex, it is critical to understand their decision-making, particularly in safety-relevant applications. In order to support a quantitative interpretation of an autonomous agent trained through Deep
Externí odkaz:
https://doaj.org/article/73a89011639d45e6a4b54eed12dcf573