scholarly journals Foreword to the special issue on recent advances on pattern recognition and artificial intelligence

2018 ◽  
Vol 29 (1) ◽  
pp. 1-2 ◽  
Author(s):  
Huawen Liu ◽  
Jianping Yin ◽  
Xudong Luo ◽  
Shichao Zhang
Keyword(s):  
Artificial Intelligence ◽  
Pattern Recognition ◽  
Special Issue ◽  
Recent Advances

Special issue on recent advances in statistical, structural and syntactic pattern recognition

2020 ◽  
Vol 131 ◽  
pp. 46-48
Author(s):  
Xiao Bai ◽  
Edwin R. Hancock ◽  
Richard C. Wilson ◽  
Tin Kam Ho
Keyword(s):  
Pattern Recognition ◽  
Special Issue ◽  
Syntactic Pattern Recognition ◽  
Recent Advances ◽  
Syntactic Pattern

scholarly journals Recent Advances in Kinase Drug Discovery Part I: The Editors’ Take

2021 ◽  
Vol 22 (14) ◽  
pp. 7560
Author(s):  
Julie A. Tucker ◽  
Mathew P. Martin
Keyword(s):  
Drug Discovery ◽  
Research Articles ◽  
Special Issue ◽  
Recent Advances ◽  
Enzyme Family ◽  
Selection Of

This special issue on Advances in Kinase Drug Discovery provides a selection of research articles and topical reviews covering all aspects of drug discovery targeting the phosphotransferase enzyme family [...]

scholarly journals Editorial for the Special Issue “Advanced Artificial Intelligence and Deep Learning for Remote Sensing”

2021 ◽  
Vol 13 (15) ◽  
pp. 2883
Author(s):  
Gwanggil Jeon
Keyword(s):  
Artificial Intelligence ◽  
Remote Sensing ◽  
Deep Learning ◽  
Special Issue ◽  
The Earth

Remote sensing is a fundamental tool for comprehending the earth and supporting human–earth communications [...]

scholarly journals Special Issue: Advances in Computational Electromagnetics

2021 ◽  
Vol 7 (6) ◽  
pp. 89
Author(s):  
Valerio De Santis
Keyword(s):  
Rare Earth ◽  
Magnetic Materials ◽  
Permanent Magnets ◽  
Computational Electromagnetics ◽  
Superconducting Materials ◽  
Special Issue ◽  
Full Characterization ◽  
Recent Advances

Recent advances in computational electromagnetics (CEMs) have made the full characterization of complex magnetic materials possible, such as superconducting materials, composite or nanomaterials, rare-earth free permanent magnets, etc [...]

Principles of induction and approaches to attribute based induction

1991 ◽  
Vol 6 (4) ◽  
pp. 307-333 ◽  
Author(s):  
G. Kalkanis ◽  
G. V. Conroy
Keyword(s):  
Artificial Intelligence ◽  
Pattern Recognition ◽  
Cognitive Psychology ◽  
Expert Systems ◽  
Basic Principles ◽  
Inductive Approach ◽  
Induction Process

AbstractThis paper presents a survey of machine induction, studied mainly from the field of artificial intelligence, but also from the fields of pattern recognition and cognitive psychology. The paper consists of two parts: Part I discusses the basic principles and features of the machine induction process; Part II uses these principles and features to review and criticize the major supervised attribute-based induction methods. Attribute-based induction has been chosen because it is the most commonly used inductive approach in the development of expert systems and pattern recognition models.

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