Zobrazeno 1 - 10
of 1 280
pro vyhledávání: '"Prediction algorithm"'
Fault detection of key parts of wind turbine based on BP neural network combination prediction model
Publikováno v:
Energy Informatics, Vol 7, Iss 1, Pp 1-20 (2024)
Abstract A BP neural network incorporated regression forecast technique based upon fragment swarm optimization (PSO) is proposed to design the state of crucial components of wind turbine so regarding realize mistake identification and detection. Firs
Externí odkaz:
https://doaj.org/article/6e73bc1706914b4c892998dc16b629cc
Autor:
Shuyue Sheng, Andong Li, Xiaobin Liu, Tuo Shen, Wei Zhou, Xingping Lv, Yezhou Shen, Chun Wang, Qimin Ma, Lihong Qu, Shaolin Ma, Feng Zhu
Publikováno v:
BMC Nephrology, Vol 25, Iss 1, Pp 1-12 (2024)
Abstract Background For critically ill patients with acute kidney injury (AKI), there remains controversy regarding the predictive factors affecting the discontinuation of continuous renal replacement therapy (CRRT). This study aims to explore factor
Externí odkaz:
https://doaj.org/article/388ca7a9ee994f90bf22797bba58be1a
Publikováno v:
JTAM (Jurnal Teori dan Aplikasi Matematika), Vol 8, Iss 4, Pp 1121-1132 (2024)
Diabetes Mellitus is a long-term medical disorder marked by high blood glucose levels that raise the risk of early mortality and organ failure. It has become an increasing global health problem, so making an accurate and timely diagnosis is urgently
Externí odkaz:
https://doaj.org/article/9ad3b75ee7ff4f38b84b9d8777c578d0
Publikováno v:
Pilar Nusa Mandiri, Vol 20, Iss 2, Pp 137-145 (2024)
Generation Z is a group that is very connected to digital technology, especially social media such as Twitter. Their widespread presence on these platforms creates a unique opportunity to understand their behavioural patterns and personalities. Howev
Externí odkaz:
https://doaj.org/article/514ed409539647c0aa09154e840cda51
Publikováno v:
COVID, Vol 4, Iss 6, Pp 825-837 (2024)
Advantageous variants of the SARS-CoV-2 virus have arisen through mutations, particularly on a single amino acid basis. These point mutations can cause changes in the structure of SARS-CoV-2 and affect the efficiency of interaction with the ACE2 prot
Externí odkaz:
https://doaj.org/article/a2321789896e43b5932bfbf2d21c63b3
Autor:
Maha Alshahrani, Serena Sabatini, Devi Mohan, Jacob Brain, Eduwin Pakpahan, Eugene Y. H. Tang, Louise Robinson, Mario Siervo, Aliya Naheed, Blossom Christa Maree Stephan
Publikováno v:
Frontiers in Epidemiology, Vol 4 (2024)
Dementia is a leading cause of death and disability with over 60% of cases residing in low- and middle-income countries (LMICs). Therefore, new strategies to mitigate risk are urgently needed. However, despite the high burden of disease associated wi
Externí odkaz:
https://doaj.org/article/513cdbcd59ba41d49e1c16de79c45dad
Autor:
Mohadese Borna, Mansour Yeganeh
Publikováno v:
Case Studies in Thermal Engineering, Vol 61, Iss , Pp 104825- (2024)
This research aims to identify and classify the types of microalgae and investigate their growth and control conditions and their optimal use for construction purposes and urban landscapes. How to use types of microalgae in climates, types of buildin
Externí odkaz:
https://doaj.org/article/c3c27c30511c4c6f9da11db8b0d1f78f
Autor:
Camille Raets, Chaimae El Aisati, Amir L. Rifi, Mark De Ridder, Koen Putman, Johan De Mey, Alexandra Sermeus, Kurt Barbe
Publikováno v:
IEEE Open Journal of Instrumentation and Measurement, Vol 3, Pp 1-12 (2024)
The growing popularity of artificial intelligence (AI) has increased its widespread adoption in medicine. However, the relationship between AI and medical experts’ opinions remains elusive. This study investigated the consistency between Random For
Externí odkaz:
https://doaj.org/article/f80974049da94341a3da4aaa8357ef29
Publikováno v:
IEEE Access, Vol 12, Pp 151153-151160 (2024)
Vasovagal syncope is a reversible condition that can cause serious events, such as cerebral hemorrhage. Predicting its occurrence is challenging; thus, this study aimed to develop machine learning models that use heart rate variability to predict the
Externí odkaz:
https://doaj.org/article/70ae6c830ba441f19ed9016c1e66c1be
Publikováno v:
Aerospace, Vol 11, Iss 11, p 953 (2024)
Accurate forecasting of passenger checked baggage traffic is crucial for efficient and intelligent allocation and optimization of airport service resources. A systematic analysis of the influencing factors and prediction algorithms for the baggage fl
Externí odkaz:
https://doaj.org/article/27edc78bd4b14fd7b7b5e8337080d83a