Results 161 to 170 of about 3,546 (213)

A spiking neural network inspired by neuroscience and psychology for Western mode- and key-conditioned music learning and composition. [PDF]

Sci Rep
Liang Q, Zeng Y, Tang M.
europepmc   +1 more source

Bridging data and discovery: a survey on knowledge graphs in AI for science. [PDF]

Natl Sci Rev
Ding K, Zhu Z, Tang Y, Feng K, Zhuang X, Wang H, Yang Y, Du H, Ni Z, Wang S, Fan X, Xing H, Bai L, Liu Q, Wang H, Zhang Q, Chen H.   +16 more
europepmc   +1 more source

Enhanced EAADE: a quantum-resilient and privacy-preserving authentication protocol for secure data exchange in vehicular social networks. [PDF]

Sci Rep
Alrashdi R, Altmemi JMH, Al-Shareeda MA, Al-Hchaimi AAJ, Homod RZ, Al-Mekhlafi ZG, Mohammed BA, Al-Dhlan KA.   +7 more
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Theoretical Framework, Technical Evolution, and Future Prospects of Cross-Modal Mapping and Controllable Image Generation Under Multi-Source Heterogeneous Collaboration. [PDF]

Sensors (Basel)
Chen M, Lin Z, Song X, Luo Y, Duan X, Li S, Xie C.   +6 more
europepmc   +1 more source

RiemannInfer: improving transformer inference through Riemannian geometry. [PDF]

Sci Rep
Mao R, Zhang Z, Yang M, Xie H, Wei S, Hu C.   +5 more
europepmc   +1 more source

Combining symbolic and numeric approaches to uncertainty management Bruce D. D'Ambrosio Department of Computer Science, Oregon State University

International Journal of Approximate Reasoning
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Computer science logo style. Volume 1: Symbolic computing. (Second edition) By Brian Harvey. MIT Press, Cambridge, MA. (1997). 318 pages. $85.00 (set of 3 books)

Computers & Mathematics with Applications
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Cancel minimal linear grammars with a particular nonterminal symbol (Mathematical Foundations and Applications of Computer Science and Algorithms)

Cancel minimal linear grammars with a particular nonterminal symbol (Mathematical Foundations and Applications of Computer Science and Algorithms)
openaire  

Parallelism in Algebraic Computation and Parallel Algorithms for Symbolic Linear Systems (Mathematical Methods in Software Science and Engineering : Third Conference)

Parallelism in Algebraic Computation and Parallel Algorithms for Symbolic Linear Systems (Mathematical Methods in Software Science and Engineering : Third Conference)
openaire  

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Symbolic mathematical computation in a Ph.D. computer science program

Proceedings of the second SIGCSE technical symposium on Education in computer science - SIGCSE '72, 1972
Considering how many fools can calculate, it is surprising that it should be thought either a difficult or a tedious task for any other fool to learn how to master the same tricks....Being myself a remarkably stupid fellow,...[I] now beg to present to my fellow fools the parts that are not hard. Master these throughly and the rest will follow. What one
B F Caviness
exaly   +2 more sources