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Internet and manufacturing knowledge management [chapter]

J. Toussaint, K. Cheng
2005 e-Manufacturing  
Furthermore, Internet-based intelligent systems are researched with a number of application systems developed by the authors.  ...  In this chapter, the intrinsic relationship between Internet hyperlinks and the knowledge representation is broadly explored, with particular reference to design and manufacturing knowledge management.  ...  According to the Gartner Group's [11] prediction for the next decade regarding the evolution of software infrastructure, they foresee: "The advancing power of information processing, driven by the increasing  ... 
doi:10.2495/978-1-85312-998-8/04 fatcat:pnlz7diegvgsnkfpowtr5vnxpq

Short-term air quality prediction using a case-based classifier

Elias Kalapanidas, Nikolaos Avouris
2001 Environmental Modelling & Software  
NEMO performance is compared with that of a back propagating neural network, and a decision tree (CART).  ...  In this paper we present and discuss the NEMO prototype that has been built in order to support short-term prediction of NO2 maximum concentration levels in Athens, Greece.  ...  Special thanks are due to Dr L. Viras, air pollution expert of PERPA, for his continuing advice and support during this ongoing research effort.  ... 
doi:10.1016/s1364-8152(00)00072-4 fatcat:7oy4ijbz5bextjmudg723flsgu

Process View to Innovate the Management of the Social Housing System: A Multiple Case Study

Giovanna Mangialardi, Angelo Corallo, Mariangela Lazoi, Barbara Scozzi
2022 Sustainability  
In particular, the theoretical lens of process theory and ambidextrous business process management are adopted to study the Agencies' "problematic situation" and identify innovative solutions to address  ...  Such actions should be part of a larger plan aimed to overcome the organizational and technological backwardness of the agencies that manage the social housing system.  ...  We would like to thank all ARCAs (ARCA Sud Salento, ARCA Nord Salento, ARCA Jonica, ARCA Puglia Centrale, and ARCA Capitanata) for their collaboration during data collection and validation of the results  ... 
doi:10.3390/su14148294 fatcat:efq4p7wjmncxvhvuhkgowlp3ci

Data mining in manufacturing: a review based on the kind of knowledge

A. K. Choudhary, J. A. Harding, M. K. Tiwari
2008 Journal of Intelligent Manufacturing  
This paper reviews the literature dealing with knowledge discovery and data mining applications in the broad domain of manufacturing with an special emphasis on the type of functions to be performed on  ...  The major data mining functions to be performed include characterization and description, association, classification, prediction, clustering and evolution analysis.  ...  A comparative study of implicit and explicit methods to predict the non-linear behaviour of the manufacturing process, using statistical procedure, neural network and case based reasoning(CBR) was discussed  ... 
doi:10.1007/s10845-008-0145-x fatcat:rt4aytttffhe3fl7memlodiysa

Machine Learning and Deep Learning in Energy Systems: A Review

Mohammad Mahdi Forootan, Iman Larki, Rahim Zahedi, Abolfazl Ahmadi
2022 Sustainability  
This research uses knowledge discovery in research databases to understand ML and DL applications in energy systems' current status and future.  ...  To accelerate the process and improve the methods of responding to this increase in energy demand, the use of models and algorithms based on artificial intelligence has become common and mandatory.  ...  The Main Applications of ML and DL in Energy Systems ML and DL can be used in many areas related to energy systems.  ... 
doi:10.3390/su14084832 fatcat:6p76nlnitbhdriswnw75nlnhsm

A Hybrid Data Mining Method for Tunnel Engineering Based on Real-Time Monitoring Data from Tunnel Boring Machines

Shuo Leng, Jia-Rui Lin, Zhen-Zhong Hu, Xuesong Shen
2020 IEEE Access  
Tunnel boring machines (TBMs) are widely used in tunnel engineering to improve work efficiency and safety.  ...  The proposed method was applied to a tunnel project in China and the application results verified that the method provided an accurate and efficient way to analyze real-time TBM monitoring data for safety  ...  ACKNOWLEDGMENT The authors thank the Metro Protection Department of the Guangzhou Metro for providing the data support and thank Prof.  ... 
doi:10.1109/access.2020.2994115 fatcat:bv7vnloh3bdjnfte2bsmlxk7ma

Dynamic Data Infrastructure Security for Interoperable e-Healthcare Systems: A Semantic Feature-Driven NoSQL Intrusion Attack Detection Model

R. Sreejith, S. Senthil, Gaganpreet Kaur
2022 BioMed Research International  
The exponential rise in advanced software computing and low-cost hardware has broadened the horizon for the Internet of Medical Things (IoMT), interoperable e-Healthcare systems serving varied purposes  ...  This work assessed the efficacy of the different semantic feature-extraction methods like Word2Vec, Continuous Bag of Words, N-Skip Gram (SKG), Count Vectorizer, TF-IDF, and GLOVE towards NoSQL-IA prediction  ...  Acknowledgments Authors are thankful to the REVA University for the facilities provided to carry out the research.  ... 
doi:10.1155/2022/4080199 pmid:35722459 pmcid:PMC9205707 fatcat:pj3q3b23end7jl5yva24x7ox5a

The development, validation and implementation of knowledge-based systems

Robert M. O' Keefe, Alun D. Preece
1996 European Journal of Operational Research  
Some ideas about where KBS "fits in" to the array of tools, techniques and methodologies available to the modern analyst and system developer are presented.  ...  The paper reviews progress in understanding and using development methodologies, validation methods (now generally considered as crucial to technical success) and implementation.  ...  BPR and KBSE demonstrate that application of KBS is no longer technology-driven, where proponents hunt do-able applications irrespective of their importance to business.  ... 
doi:10.1016/0377-2217(96)00005-7 fatcat:dmgfu2h7g5dfdjd733mkosqwg4

Hybrid soft computing systems: industrial and commercial applications

P.P. Bonissone, Yu-To Chen, K. Goebel, P.S. Khedkar
1999 Proceedings of the IEEE  
We present a collection of methods and tools that can be used to perform diagnostics, estimation, and control.  ...  We discuss three successful real-world examples of SC applications to industrial equipment diagnostics, freight train control, and residential property valuation.  ...  Predictive modeling is the focus of many industrial and commercial applications.  ... 
doi:10.1109/5.784245 fatcat:ntpjdm3exbgudlxqi62ikvsvuu

Artificial Intelligence and Machine Learning Approaches in Digital Education: A Systematic Revision

Hussan Munir, Bahtijar Vogel, Andreas Jacobsson
2022 Information  
The study findings present six themes related to the use of machines in digital education.  ...  Second, the study outlines and explains the literature's themes related to the use of AI-based algorithms in digital education.  ...  writing software application that can be used in online learning.  ... 
doi:10.3390/info13040203 fatcat:vryzsiwbgnaxvdf37pxyux6pwe

A Review of Meta-level Learning in the Context of Multi-component, Multi-level Evolving Prediction Systems [article]

Abbas Raza Ali, Marcin Budka, Bogdan Gabrys
2020 arXiv   pre-print
The exponential growth of volume, variety and velocity of data is raising the need for investigations of automated or semi-automated ways to extract useful patterns from the data.  ...  In that scenario and within an on-line predictive system, there are several tasks where Meta-learning can be used to effectively facilitate best recommendations including 1) pre-processing steps, 2) learning  ...  There were (and still are) a lot of fundamental research questions related to the automation of data-driven predictive models building, ensuring their robust behaviour and development of integrated adaptive  ... 
arXiv:2007.10818v1 fatcat:4jzeippeyjbxfdbza3h5222xey

Clinical Decision Support System Based on Hybrid Knowledge Modeling: A Case Study of Chronic Kidney Disease-Mineral and Bone Disorder Treatment

Syed Imran Ali, Su Woong Jung, Hafiz Syed Muhammad Bilal, Sang-Ho Lee, Jamil Hussain, Muhammad Afzal, Maqbool Hussain, Taqdir Ali, Taechoong Chung, Sungyoung Lee
2021 International Journal of Environmental Research and Public Health  
Several CDSSs are proposed to deal with a range of clinical tasks such as disease diagnosis, prescription management, and medication ordering.  ...  of whom have some manifestation of chronic kidney disease–mineral and bone disorder (CKD–MBD).  ...  Acknowledgments: We express our appreciation to Kyung Hee University hospital staff for their support in conducting this research. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/ijerph19010226 pmid:35010486 pmcid:PMC8750681 fatcat:ppy3kz2jenhengrgggnh3pbwgm

Response Modeling in Direct Marketing [chapter]

Sadaf Hossein Javaheri, Mohammad Mehdi Sepehri, Babak Teimourpour
2014 Data Mining Applications with R  
Thus various data mining techniques and algorithms are used to implement each step of modeling and alleviate related difficulties.  ...  The purpose of this study is to deal with all these issues and steps of modeling.  ...  Large databases of customer and market data are maintained for this purpose.  ... 
doi:10.1016/b978-0-12-411511-8.00006-2 fatcat:p73qqvzrabgg3c5ay23j4vw6oa

Scientometric review of artificial intelligence for operations & maintenance of wind turbines: The past, present and future

Joyjit Chatterjee, Nina Dethlefs
2021 Renewable & Sustainable Energy Reviews  
We hope that a systematic analysis of the past, present and future of CBM and performance assessment can encourage more organisations to adopt data-driven decision making techniques in O&M towards making  ...  strengths and limitations of data-driven decision making in the wind industry.  ...  Data Collection As the primary analysis step, the Web of Science database 2 was queried to retrieve all papers relating to CBM of wind turbines in the last decade (2010 to present), leading to an initial  ... 
doi:10.1016/j.rser.2021.111051 fatcat:wkahjceeijdadfdeg6lola2u4i

The State of Artificial Intelligence in Marketing With Directions for Future Research

Jing Chen, Jose Humberto Ablanedo-Rosas, Gary L. Frankwick, Fernando R. Jiménez Arévalo
2021 International Journal of Business Intelligence Research  
Our study is one among a few studies that have used bibliometric analysis methods to analyze and visualize the citation network of the AI-marketing interface.  ...  To investigate AI in marketing, we have used bibliometric study, social network analysis (SNA), main path analysis, and content analysis to examine the top 10 authors, top 20 most cited articles, and top  ...  Using Twitter to natural language analysis classifiers are used to examine smoking behavior processing analyze tobacco-related and perceptions of emerging tweets. tobacco products.  ... 
doi:10.4018/ijbir.297062 fatcat:d254xr24jbb7lanwldly4or45u
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