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Questions and Answers
What was the time period chosen for the investigation of artificial intelligence and machine learning applications?
What was the total number of documents returned from the Scopus and Web of Science databases combined?
Which type of document made up the majority of results from Scopus?
What percentage of the documents in Web of Science were articles?
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Which database returned more documents during the research investigation?
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What was the primary reason for choosing the specific keywords for the survey?
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What is a key characteristic differentiating Scopus from Web of Science?
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Which document type accounted for the largest portion of results in Web of Science?
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What is the focus of the survey conducted by Praveenkumar and Saimurugan?
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Which publication discusses improving active learning for protocol conformance?
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Which year did the research on strategies and principles of distributed machine learning appear?
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Who are the authors associated with the advances in artificial intelligence and learning techniques?
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What is the common theme in the listed research publications?
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What is a primary focus of the low-cost technology developed for precision weed management?
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In the context of hydropower reservoir operations, which method is mentioned for deriving operation rules?
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Which type of technology is used for identifying mobile application traffic?
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Which technique was compared alongside multiple linear regression in the assessment?
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What year's research is cited for the development of weed management technology?
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Which database has a greater number of structured thematic areas?
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What criteria were used to evaluate documents for inclusion in the bibliometric analysis?
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How many documents were finally analyzed from Scopus?
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Which article has the highest citation count according to the analysis?
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What advantage do older documents generally have according to the findings?
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What primary focus does the section on Top Highly Influential Analysis have?
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What type of methods does the document by Larrañaga et al. discuss?
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What is one notable trend about citations observed in the analysis?
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Which of the following research topics is related to Artificial Intelligence methods?
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What is the primary focus of the novel hybrid model mentioned in the content?
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In which year was the research on a big data-driven sustainable manufacturing framework published?
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What aspect does context-aware process mining primarily focus on?
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Which of the following topics was NOT covered in the provided content?
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Who are the authors associated with the research on context-aware process mining?
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Which specific field does the survey cover in relation to optical networks?
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How is the short-term load forecasting model developed according to the content?
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Study Notes
Research Methodology
- A comprehensive review of research on artificial intelligence (AI), machine learning (ML), and their applications was conducted using the Scopus and Web of Science (WoS) databases.
- The search query utilized Boolean operators, specifically "artificial intelligence" AND "machine learning" AND "application."
- The search covered a 20-year period from 1999 to 2019 to ensure consistent results.
- The research focused on sustainability applications of AI and ML, reflecting the growing importance of responsible business practices in the context of smart production and climate change concerns.
Data Collection
- The initial search yielded 13,512 documents.
- Scopus, an Elsevier product, contributed significantly more results (12,445) compared to WoS (1081). This difference is attributed to Scopus encompassing a broader range of databases, including Science Direct and Scirus.
- Scopus primarily retrieved conference papers (57.28%) and articles (33.85%), while articles (46.12%) and proceedings papers (42.86%) were the predominant document types in WoS.
Document Inclusion (Step 3)
- The research team meticulously reviewed the retrieved documents for inclusion.
- Eligibility criterias included:
- Evidence of academic interest in the topic
- Presence of case studies or real applications, proposals for new AI and ML algorithms, or possible future scenarios.
- This meticulous review process resulted in a final sample size of 60 documents from Scopus and 22 from WoS.
Analysis
- The analysis explored the selected documents to provide insights into trends in AI and ML applications for sustainability.
- Key aspects of analysis include:
- Top Highly Influential Analysis: Identifying the most highly cited documents based on citation counts in WoS and Scopus.
Influential Documents
- The document by Larrañaga, Calvo, Santana et al. in 2006 has the highest citation count (298). It reviews machine learning methods for bioinformatics and introduces modeling techniques.
- The document's publication prior to the introduction of Industry 4.0 (I4.0) has contributed to its widespread influence.
- While documents published before I4.0 generally have higher citation counts, even recent documents have a significant number of citations, indicating growing interest in the field.
Examples of Highly Cited Documents
- "Fault diagnosis of automobile gearbox based on machine learning techniques" (Praveenkumar, Saimurugan, Krishnakumar, Ramachandran, 2014, SCP: 14 citations).
- "Improving active Mealy machine learning for protocol conformance testing" (Aarts, Kuppens, Tretmans, Vaandrager, Verwer, 2014, SCP: 16 citations).
- "Strategies and Principles of Distributed Machine Learning on Big Data Networking" (Xing, Ho, Xie, Wei, 2016, WoS: 66 citations).
- "Recent advances on artificial intelligence and learning techniques in cognitive radio networks" (Abbas, Nasser, El Ahmad, 2015, WoS: 67 citations).
- "Artificial intelligence (AI) methods in optical networks: A comprehensive survey" (Mata, de Miguel, Duran, Merayo, Singh, Jukan, Chamania, 2018, WoS: 68 citations).
- "A big data driven sustainable manufacturing framework for condition‐based maintenance prediction" (Kumar, Shankar, Thakur, 2018, SCP: 40 citations).
- "Research and Application of a Novel Hybrid Model Based on Data Selection and Artificial Intelligence Algorithm for Short Term Load Forecasting" (Yang, Wang, Wang, 2017, WoS: 69 citations).
- "Context Aware Process Mining in assessments" (Becker, Intoyoad, 2017, SCP: 33 citations).
- "Comparison of multiple linear regression, artificial neural network, extreme learning machine, and support vector machine in deriving operation rule of hydropower reservoir" (Niu, Feng, Feng, Cheng, Zhou, 2019, SCP: 58 citations).
- "Development and evaluation of a low‐cost and smart technology for precision weed management utilizing artificial intelligence" (Partel, Charan Kakarla, Ampatzidis, 2019, SCP: 59 citations).
- "Identifying known and unknown mobile application traffic using a multilevel" (Zhao, Chen, Sun, Su, Su, 2019, SCP: 60 citations).
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Description
This quiz covers the methodology used in researching artificial intelligence and machine learning, focusing on their sustainability applications. You'll explore search strategies involving Boolean operators and the analysis of results from Scopus and Web of Science databases over a twenty-year period. Test your understanding of the research process in the context of responsible business practices.
