Zobrazeno 1 - 10
of 1 604
pro vyhledávání: '"deep transfer learning"'
Publikováno v:
Journal of Big Data, Vol 11, Iss 1, Pp 1-26 (2024)
Abstract Mechanical equipment is a vital foundational support for promoting national economic development and is widely utilized in key sectors such as aerospace, shipping, construction machinery, energy, petrochemicals, and robotics. With the advanc
Externí odkaz:
https://doaj.org/article/5cf417fab61845d5b6f7b9ddea43da9c
Publikováno v:
Alexandria Engineering Journal, Vol 105, Iss , Pp 588-597 (2024)
With the acceleration of globalization, machine translation (MT) plays an increasingly prominent role in cross-language communication. However, how to evaluate the quality of machine translation, especially considering the nuances in different semant
Externí odkaz:
https://doaj.org/article/8bff740e928c4458afd92e41f8643743
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)
Abstract The stability of arc bubble is a crucial indicator of underwater wet welding process. However, limited research exists on detecting arc bubble edges in such environments, and traditional algorithms often produce blurry and discontinuous resu
Externí odkaz:
https://doaj.org/article/9ef3866725c84fbbbfb68e4cc242f5d6
Publikováno v:
ETRI Journal, Vol 46, Iss 4, Pp 671-682 (2024)
Violence can be committed anywhere, even in crowded places. It is hence necessary to monitor human activities for public safety. Surveillance cameras can monitor surrounding activities but require human assistance to continuously monitor every incide
Externí odkaz:
https://doaj.org/article/6b7fb46e7855435981940b748951f58b
Publikováno v:
BMC Gastroenterology, Vol 24, Iss 1, Pp 1-12 (2024)
Abstract Background This study evaluates the efficacy of integrating MRI deep transfer learning, radiomic signatures, and clinical variables to accurately preoperatively differentiate between stage T2 and T3 rectal cancer. Methods We included 361 pat
Externí odkaz:
https://doaj.org/article/79fa49614c324c3f8207e6a1f279ac22
Publikováno v:
Iraqi Journal for Computers and Informatics, Vol 50, Iss 1, Pp 133-143 (2024)
Numerous people have died as a result of the coronavirus outbreak in 2019 (COVID-19), which also affected millions of others worldwide. The infection spreads quickly. Therefore, technology that enables quick virus detection will offer healthcare prof
Externí odkaz:
https://doaj.org/article/70f04342fef646ad94fa40e139deaaed
Publikováno v:
Virtual Reality & Intelligent Hardware, Vol 6, Iss 3, Pp 226-238 (2024)
Background: The prognosis and survival of patients with lung cancer are likely to deteriorate with metastasis. Using deep-learning in the detection of lymph node metastasis can facilitate the noninvasive calculation of the likelihood of such metastas
Externí odkaz:
https://doaj.org/article/336dc89812544557af714444b8c952e2
Publikováno v:
Ecological Informatics, Vol 83, Iss , Pp 102808- (2024)
Urban wetland parks are essential for protecting ecosystems and alleviating urban heat island effects. Owing to the impact of urban sprawl and human activities, habitats in wetland parks have become increasingly fragmented, evoking an urgent need to
Externí odkaz:
https://doaj.org/article/3fe7c81d387843b6a93747944a7179e0
Publikováno v:
Ain Shams Engineering Journal, Vol 15, Iss 10, Pp 102940- (2024)
According to the world health organization (WHO), stroke stands as a significant contributor to mortality and adult disability, causing motor function impairment, paralysis, and intense back pain. In aiding stroke patients' mobility recovery, physiot
Externí odkaz:
https://doaj.org/article/f1c80d72a8ef4a2f8f88dc8ab75f8122
Publikováno v:
Ecological Indicators, Vol 166, Iss , Pp 112331- (2024)
China has abundant straw resources, but challenges in utilization persist. Utilization rates need improvement, and environmental pollution from straw burning remains a significant issue. Accurate and intelligent remote sensing classification of straw
Externí odkaz:
https://doaj.org/article/03ccaae9ca534952ac76923deaccf750