ORCID Profile
0000-0002-8630-494X
Current Organisation
The University of Adelaide Faculty of the Professions
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In Research Link Australia (RLA), "Research Topics" refer to ANZSRC FOR and SEO codes. These topics are either sourced from ANZSRC FOR and SEO codes listed in researchers' related grants or generated by a large language model (LLM) based on their publications.
Data Format | Coding and Information Theory | Coding And Information Theory
Telecommunications | Expanding Knowledge in Engineering | Communication Networks and Services not elsewhere classified |
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 12-2017
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 02-2021
Publisher: IEEE
Date: 08-2013
Publisher: IEEE
Date: 04-2013
Publisher: IEEE
Date: 12-2016
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2015
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 12-2010
Publisher: IEEE
Date: 06-2015
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 03-2011
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 03-2011
Publisher: IEEE
Date: 2011
Publisher: Springer International Publishing
Date: 2016
Publisher: IEEE
Date: 10-2011
Publisher: IEEE
Date: 07-2019
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2015
Publisher: IEEE
Date: 07-2012
Publisher: IEEE
Date: 07-2013
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2020
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 08-2014
Publisher: IEEE
Date: 07-2013
Publisher: IEEE
Date: 2015
Publisher: IEEE
Date: 2010
Publisher: Elsevier BV
Date: 12-2017
Publisher: IEEE
Date: 08-2010
Publisher: Wiley
Date: 30-01-2017
DOI: 10.1002/ETT.2922
Publisher: IEEE
Date: 07-2016
Publisher: IEEE
Date: 11-2012
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 02-2009
Publisher: IEEE
Date: 06-2015
Publisher: IEEE
Date: 05-2018
Publisher: IEEE
Date: 07-2019
Publisher: Springer Berlin Heidelberg
Date: 2009
Publisher: Proceedings of the National Academy of Sciences
Date: 05-02-2018
Abstract: Identifying and explaining regional differences in tropical forest dynamics, structure, ersity, and composition are critical for anticipating region-specific responses to global environmental change. Floristic classifications are of fundamental importance for these efforts. Here we provide a global tropical forest classification that is explicitly based on community evolutionary similarity, resulting in identification of five major tropical forest regions and their relationships: ( i ) Indo-Pacific, ( ii ) Subtropical, ( iii ) African, ( iv ) American, and ( v ) Dry forests. African and American forests are grouped, reflecting their former western Gondwanan connection, while Indo-Pacific forests range from eastern Africa and Madagascar to Australia and the Pacific. The connection between northern-hemisphere Asian and American forests is confirmed, while Dry forests are identified as a single tropical biome.
Publisher: IEEE
Date: 07-2008
Publisher: IEEE
Date: 12-2013
Publisher: IEEE
Date: 10-2015
Publisher: IEEE
Date: 06-2014
Publisher: IEEE
Date: 2010
Publisher: IEEE
Date: 06-2010
Publisher: IEEE
Date: 10-2011
Publisher: IEEE
Date: 12-2015
Publisher: IEEE
Date: 09-2012
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 15-02-2016
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 02-2016
Publisher: Inderscience Publishers
Date: 2016
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 10-2014
Publisher: IEEE
Date: 12-2012
Publisher: IEEE
Date: 06-2017
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 12-2010
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 02-2023
Publisher: IEEE
Date: 2016
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2018
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 12-2009
Publisher: IEEE
Date: 09-2008
Publisher: IEEE
Date: 12-2014
Publisher: IEEE
Date: 06-2009
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 12-2010
Publisher: IEEE
Date: 06-2007
Publisher: IEEE
Date: 06-2014
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 08-2018
Publisher: IEEE
Date: 09-2007
Publisher: IEEE
Date: 09-2019
Publisher: MDPI AG
Date: 06-2023
DOI: 10.3390/E25060888
Abstract: This paper provides a comprehensive review of the literature concerning the utilization of Natural Language Processing (NLP) techniques, with a particular focus on transformer-based large language models (LLMs) trained using Big Code, within the domain of AI-assisted programming tasks. LLMs, augmented with software naturalness, have played a crucial role in facilitating AI-assisted programming applications, including code generation, code completion, code translation, code refinement, code summarization, defect detection, and clone detection. Notable ex les of such applications include the GitHub Copilot powered by OpenAI’s Codex and DeepMind AlphaCode. This paper presents an overview of the major LLMs and their applications in downstream tasks related to AI-assisted programming. Furthermore, it explores the challenges and opportunities associated with incorporating NLP techniques with software naturalness in these applications, with a discussion on extending AI-assisted programming capabilities to Apple’s Xcode for mobile software development. This paper also presents the challenges of and opportunities for incorporating NLP techniques with software naturalness, empowering developers with advanced coding assistance and streamlining the software development process.
Publisher: IEEE
Date: 07-2013
Publisher: IEEE
Date: 2012
Publisher: IEEE
Date: 06-2015
Publisher: IEEE
Date: 07-2006
Publisher: IEEE
Date: 2009
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2015
Publisher: IEEE
Date: 11-2014
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 12-2013
Publisher: IEEE
Date: 09-2016
Publisher: IEEE
Date: 07-2016
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2018
Publisher: IEEE
Date: 12-2012
Publisher: IEEE
Date: 07-2012
Publisher: IEEE
Date: 2005
Publisher: IEEE
Date: 07-2011
Location: Australia
Start Date: 2010
End Date: 12-2013
Amount: $720,000.00
Funder: Australian Research Council
View Funded ActivityStart Date: 02-2015
End Date: 06-2019
Amount: $435,500.00
Funder: Australian Research Council
View Funded Activity