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Efficient abnormal behavior detection in information-centric internet of things using SVM. [PDF]
Derakhshanfard N +5 more
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Machine learning prediction model for the sewing thread consumption. [PDF]
Ahmad F +4 more
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Unlocking radiotherapy access: the critical role of structural quality and radiation therapists in Saudi Arabia. [PDF]
Mulla Z +7 more
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Co-creating value and building resilience: a digital era framework for competitive advantage in electronics retailing. [PDF]
Yang Y, Zhang X.
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Linearity of Sequential Machines
IEEE Transactions on Electronic Computers, 1966A sequential machine is defined to be linear if its next-state function and output function are linear transformations from their domains (vector spaces) to their ranges (also vector spaces). It is shown that this definition is equivalent to those given by other authors.
Stephen Sik-Sang Yau, K. C. Wang
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Correction [to "Linearity of sequential machines"]
IEEE Transactions on Electronic Computers, 1966Because of the inadvertent omission of Fig. 6 in the October, 1966 issue, this correction is reprinted completely herewith. S.S. Yau and K.C. Wang, authors of the paper, "Linearity of Sequential Machines," which appeared on pages 337-354 of the June, 1966, issue of these Transactions, have called the to the attention of the Editor errors that appeared ...
N. A. Ball +4 more
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Identification and Minimization of Linear Machines
IEEE Transactions on Electronic Computers, 1965This paper is a study of linear machines and their submachines. Methods are presented for finding the reduced form of a given linear machine with or without fixed initial state. A technique is suggested for detecting whether a machine is linear or can be embedded as a submachine in a linear machine. In the latter case a state assignment is produced for
Martin Cohn, Shimon Even
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