Zobrazeno 1 - 10
of 1 673
pro vyhledávání: '"Dynamic threshold"'
Publikováno v:
Industrial Robot: the international journal of robotics research and application, 2024, Vol. 51, Issue 6, pp. 936-946.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/IR-12-2023-0341
Publikováno v:
Journal of Management Science and Engineering, Vol 9, Iss 4, Pp 490-509 (2024)
Traditional transportation development has yielded significant economic and social benefits, but it has also led to increased pollution emissions and substantial environmental impacts. Transport has become a major source of carbon emissions in China.
Externí odkaz:
https://doaj.org/article/15f8d558dcbf49d09d7d10179344343b
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-22 (2024)
Abstract The control of multi-robot formations is a crucial aspect in various applications, such as transport, surveillance and monitoring environments. Maintaining robots in a specific formation pose or performing a cooperative task is a significant
Externí odkaz:
https://doaj.org/article/e48041a6508e42b5b7b94f753d827adc
Real-time collision detection based on external torque mutation suppression and time series analysis
Publikováno v:
Industrial Robot: the international journal of robotics research and application, 2024, Vol. 51, Issue 4, pp. 640-657.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/IR-12-2023-0338
Autor:
Yang Shen, Pengfei Zhou
Publikováno v:
Chinese Journal of Population, Resources and Environment, Vol 22, Iss 3, Pp 343-355 (2024)
Employment is the greatest livelihood. Whether the impact of industrial robotics technology materialized in machines on employment in the digital age is an “icing on the cake” or “adding fuel to the fire” needs further study. This study aims
Externí odkaz:
https://doaj.org/article/afbb692505c4484a9a8d795b5441e0e7
Autor:
Obaike John Ojeka, Tajudeen Egbetunde, Gideon Oseibibi Okoduwa, Aisha Omobolanle Ojeyode, Mumuni Jimoh, Gideon Oladele Ogunbowale
Publikováno v:
Future Business Journal, Vol 10, Iss 1, Pp 1-17 (2024)
Abstract The relationship between external debt and economic growth has been extensively studied by researchers and policymakers. However, the link between external debt and domestic investment remains an underexplored area of research. Therefore, th
Externí odkaz:
https://doaj.org/article/ccf04982a99c480b9f72134f9f64ae35
Publikováno v:
Frontiers in Neuroscience, Vol 18 (2024)
Spiking Neural Networks (SNNs) are typically regards as the third generation of neural networks due to their inherent event-driven computing capabilities and remarkable energy efficiency. However, training an SNN that possesses fast inference speed a
Externí odkaz:
https://doaj.org/article/d1ac90641d614396bd165014127cbaa5
Autor:
Xiangyi Wang, Yingbin He, Yan Zha, Huicong Chen, Yongye Wang, Xiuying Wu, Jiong Ning, Anran Feng, Shengnan Han, Shanjun Luo
Publikováno v:
GIScience & Remote Sensing, Vol 61, Iss 1 (2024)
In China, a nation facing farmland scarcity, accurate mapping of winter fallow arable lands is crucial for enhancing crop rotation and land use efficiency. The Dynamic Threshold (DT) method commonly used in phenology and winter fallow land studies of
Externí odkaz:
https://doaj.org/article/28ee1a8b8bce4b1498aec6ad4b8b6079
Publikováno v:
Heliyon, Vol 10, Iss 21, Pp e38484- (2024)
Based on the construction of digital technology evaluation index system, this paper builds a dynamic threshold regression model to explore the complex impact of digital technology on Chinese-style industrial modernization under the threshold of R&D h
Externí odkaz:
https://doaj.org/article/df423a96327640be98a0a0b043b38763
Autor:
Hussain Palagiri, Manali Pal
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 134, Iss , Pp 104175- (2024)
The European Space Agency (ESA) under the Climate Change Initiative (CCI) has developed a multi-satellite global, daily Soil Moisture (SM) dataset that has paved the ways for agricultural drought studies. To evaluate the performance of this ESACCI SM
Externí odkaz:
https://doaj.org/article/4c870b485d234173a867a4d5c078e377