Titlebook: Artificial Intelligence Logic and Applications; The 3rd Internationa Songmao Zhang,Yonggang Zhang Conference proceedings 2023 The Editor(s)

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Naresh Kumar Thakur,Sanjeev Rajput to the diagnostic model to speed up the diagnosis. The heuristics information is obtained from the clustering. In the online diagnosis, once the undefined behavior is found, the model is reconstructed according to the classification and order relationship of the undefined behavior in the existing cluster, and the possible diagnoses is obtained.

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Naresh Kumar Thakur,Sanjeev Rajputn MARCO, and 9.56% faster than HSPA. The effectiveness and superiority of our algorithm make it a suitable choice for real-time applications with demanding requirements, particularly in the domain of autonomous driving’s environmental perception tasks.

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1865-0929 The 26 full papers and the 10 short papers included in this volume were carefully reviewed and selected from 56 submissions...This volume aims to provide novel ideas, original research achievements, and practical experiences in a broad range of artificial intelligence logic and applications..978-981

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Neurons and Neuronal Signal Propagation,nite state automata into a boolean expression. The boolean function is represented by a Binary Decision Diagram (BDD). Based on this method, the discrete system is further abstracted, and the time complexity and space complexity of the diagnosis operation are effectively reduced by using the algorithm based on the sequence of observed events.

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A Fault Diagnosis Method of Discrete Event System Based on Binary Decision Diagramnite state automata into a boolean expression. The boolean function is represented by a Binary Decision Diagram (BDD). Based on this method, the discrete system is further abstracted, and the time complexity and space complexity of the diagnosis operation are effectively reduced by using the algorithm based on the sequence of observed events.