Results 271 to 280 of about 2,433,680 (345)
Recurrence relations and path representations of matrix elements of an SU(1,1) algebra
, 2012 C V Sukumar
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X-Ray Spectrometry, EarlyView.ABSTRACT X‐ray reflectometry is a powerful technique for investigating layered films. Conventional angular‐dispersive X‐ray reflectometers require a high‐intensity, monochromatic X‐ray source and a complex angular scanning system, resulting in a large and complicated setup.
Susumu Imashuku +2 more
wiley +1 more source
Bidirectional recurrent neural network approach for predicting cervical cancer recurrence and survival. [PDF]
Sci RepGeeitha S +3 more
europepmc +1 more source
Review on enhancing clinical decision support system using machine learning
CAAI Transactions on Intelligence Technology, EarlyView.Abstract Clinical decision‐making is a complex patient‐centred process. For an informed clinical decision, the input data is very thorough ranging from detailed family history, environmental history, social history, health‐risk assessments, and prior relevant medical cases.
Anum Masood +4 more
wiley +1 more source
What is the accuracy, sensitivity and specificity of the radiological peritoneal cancer index in repeat cytoreductive surgery: a retrospective study. [PDF]
World J Surg OncolGarrett C +6 more
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Diagonal recurrence relations for the Stirling numbers of the first kind
, 2013 Feng Qi
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Graph neural network‐based attack prediction for communication‐based train control systems
CAAI Transactions on Intelligence Technology, EarlyView.Abstract The Advanced Persistent Threats (APTs) have emerged as one of the key security challenges to industrial control systems. APTs are complex multi‐step attacks, and they are naturally diverse and complex. Therefore, it is important to comprehend the behaviour of APT attackers and anticipate the upcoming attack actions.
Junyi Zhao +3 more
wiley +1 more source
Alexander and Jones polynomials of weaving 3-braid links and Whitney rank polynomials of Lucas lattice. [PDF]
HeliyonAlSukaiti ME, Chbili N.
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Morphic Words and Nested Recurrence Relations
, 2013 Marcel Celaya, Frank Ruskey
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CAAI Transactions on Intelligence Technology, EarlyView.Abstract Graph neural networks (GNNs) have revolutionised the processing of information by facilitating the transmission of messages between graph nodes. Graph neural networks operate on graph‐structured data, which makes them suitable for a wide variety of computer vision problems, such as link prediction, node classification, and graph classification.
Amit Sharma +4 more
wiley +1 more source