Bidirectional extreme learning machine for regression problem and its learning effectiveness
It is clear that the learning effectiveness and learning speed of neural networks are in
general far slower than required, which has been a major bottleneck for many applications. …
general far slower than required, which has been a major bottleneck for many applications. …
Proteomics evidence for kefir dairy in Early Bronze Age China
Y Yang, A Shevchenko, A Knaust, I Abuduresule… - Journal of …, 2014 - Elsevier
Cheese making has been inferred at several sites in northern Europe as early as the 6th
millennium BC and was common in Egypt and Mesopotamia in 3rd millennium BC. However, …
millennium BC and was common in Egypt and Mesopotamia in 3rd millennium BC. However, …
Computational health informatics in the big data age: a survey
The explosive growth and widespread accessibility of digital health data have led to a surge
of research activity in the healthcare and data sciences fields. The conventional approaches …
of research activity in the healthcare and data sciences fields. The conventional approaches …
Extreme learning machine with subnetwork hidden nodes for regression and classification
As demonstrated earlier, the learning effectiveness and learning speed of single-hidden-layer
feedforward neural networks are in general far slower than required, which has been a …
feedforward neural networks are in general far slower than required, which has been a …
The origins of cannabis smoking: Chemical residue evidence from the first millennium BCE in the Pamirs
Cannabis is one of the oldest cultivated plants in East Asia, grown for grain and fiber as well
as for recreational, medical, and ritual purposes. It is one of the most widely used …
as for recreational, medical, and ritual purposes. It is one of the most widely used …
Multilayer extreme learning machine with subnetwork nodes for representation learning
The extreme learning machine (ELM), which was originally proposed for “generalized”
single-hidden layer feedforward neural networks, provides efficient unified learning solutions for …
single-hidden layer feedforward neural networks, provides efficient unified learning solutions for …
EEG-based emotion recognition using hierarchical network with subnetwork nodes
Emotions play a crucial role in decision-making, brain activity, human cognition, and social
intercourse. This paper proposes a hierarchical network structure with subnetwork nodes to …
intercourse. This paper proposes a hierarchical network structure with subnetwork nodes to …
[HTML][HTML] Current status of percutaneous vertebroplasty and percutaneous kyphoplasty–a review
Y Yimin, R Zhiwei, M Wei, R Jha - Medical science monitor …, 2013 - ncbi.nlm.nih.gov
Percutaneous vertebroplasty (PV) and kyphoplasty (PK) are the 2 vertebral augmentation
procedures that have emerged as minimally invasive surgical options to treat painful vertebral …
procedures that have emerged as minimally invasive surgical options to treat painful vertebral …
Spatio-temporal feature encoding for traffic accident detection in VANET environment
In the Vehicular Ad hoc Networks (VANET) environment, recognizing traffic accident events
in the driving videos captured by vehicle-mounted cameras is an essential task. Generally, …
in the driving videos captured by vehicle-mounted cameras is an essential task. Generally, …
[HTML][HTML] Gas turbine engine transient performance and heat transfer effect modelling: A comprehensive review, research challenges, and exploring the future
Y Yang, T Nikolaidis, S Jafari, P Pilidis - Applied Thermal Engineering, 2024 - Elsevier
Gas turbine transient simulation is an important tool in analysing engine performance
during changes in operating conditions. This paper provides a comprehensive review of the …
during changes in operating conditions. This paper provides a comprehensive review of the …