Artificial Intelligence: A Survey on Evolution and Future Trends
DOI:
https://doi.org/10.24203/ajas.v9i2.6589Keywords:
Artificial Intelligence, Artificial Neural Networks, Expert System, Fuzzy Logic, COVID-19, Power Systems.Abstract
Today, the world has heard a lot about artificial intelligence (AI) and its influence in accomplishing responsibilities, and it has become famous through films, series TV and social networking sites. Artificial Intelligence (AI) is a combination of algorithms and techniques developed by developers and programmers to build metal bodies that can work for centuries with individuals. Despite the interest of everyone in this topic and its spread significantly, most people do not have adequate knowledge and understanding of this science. This science is considered as one of the essential topics in computer sciences and engineering. In this article, it has been decided to write an overview on the topic of artificial intelligence and understand how its ideas started and spread universally. In addition, there is a review of Expert Systems, Artificial Neural Networks, Fuzzy Logic, and AI applications in the medical field and power systems, especially in investigating lung images of people with COVID-19. The idea presented in this article is that the future will soon come when humans and machines will merge into cyborgs or cybernetic creatures, and they will work together when completing tasks. This idea is described as transhumanism.
References
Bezboruah T. and Bora A., “Artificial intelligence: The Technology, Challenges and Applications,” Transactions on Machine Learning and Artificial Intelligence, Vol. 8, no.5, pp:44-51, August 2020. http://dx.doi.org/10.14738/tmlai.85.8956
Shaw J., Rudzicz F., Jamieson T., and Goldfarb A., “Artificial Intelligence and the Implementation Challenge,” Journal of medical Internet research, vol. 21, no. 7 e13659. 10 July 2019, http://doi.org/10.2196/13659
Stasse O., Flayols T., “An Overview of Humanoid Robots Technologies,” In: Venture G., Laumond JP., Watier B. (eds) Biomechanics of Anthropomorphic Systems. Springer Tracts in Advanced Robotics, vol 124, pp: 281-310, August 2018. Springer, Cham. https://doi.org/10.1007/978-3-319-93870-7_13
Davenport T., Guha A., Grewal D., and Bressgott T., “How artificial intelligence will change the future of marketing,” Journal of the Academy of Marketing Science-Springer, vol.48, pp:24-42, January 2020. https://doi.org/10.1007/s11747-019-00696-0
Singh G., Mishra A., and Sagar D., “An Overview of Artificial Intelligence,” SBIT Journal of Sciences and Technology, vol.2, no.1, pp:1-4, 2013.
Abu-Nasser B. S., “Medical Expert Systems Survey,” International Journal of Engineering and Information Systems (IJEAIS), vol. 1, no.7, pp:218-224, September 2017.
Žarković M. and Stojković Z., Analysis of artificial intelligence expert systems for power transformer condition monitoring and diagnostics, Electric Power Systems Research-Elsevier, vol.149, pp:125-136, August 2017. https://doi.org/10.1016/j.epsr.2017.04.025
Sharma P., “Top 4 Components of Expert System MIS,” Article link: https://www.yourarticlelibrary.com/management/mis-management/top-4-components-of-expert-system-mis/70412
Shahid N., Rappon T., and Berta W., “Applications of artificial neural networks in health care organizational decision-making: A scoping review,” PLOS ONE, pp:1-22, February 2019. https://doi.org/10.1371/journal.pone.0212356
Negassi M., Suarez‑Ibarrola R., Hein S., Miernik A., and Reiterer A., “Application of artifcial neural networks for automated analysis of cystoscopic images: a review of the current status and future prospects,” World Journal of Urology, vol.38, pp:2349–2358, January 2020. https://doi.org/10.1007/s00345-019-03059-0
Aamir M., Rahman Z., Abro W. A., Tahir M. and, Ahmed S. M., “An Optimized Architecture of Image Classification Using Convolutional Neural Network,” International Journal of Image, Graphics and Signal Processing, vol.11, no.10, pp:30-39, October 2019. https://doi.org/10.5815/ijigsp.2019.10.05
Label a Neuron, Brain Cells, The Brain, Article online (2018): https://www.enchantedlearning.com/subjects/anatomy/brain/Neuron.shtml
Dixon M. F., Halperin I., and Bilokon P., “Feedforward Neural Networks,” Machine Learning in Finance, pp 111-166. July 2020. https://doi.org/10.1007/978-3-030-41068-1_4
Sherstinsky A., “Fundamentals of Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) network,” Physica D: Nonlinear Phenomena, vol.404, March 2020. https://doi.org/10.1016/j.physd.2019.132306
Al-Zubaidi E. A, Mijwil M. M., and Alsaadi A. S., “Two-Dimensional Optical Character Recognition of Mouse Drawn in Turkish Capital Letters Using Multi-Layer Perceptron Classification,” Journal of Southwest Jiaotong University, vol.54, no.4, pp:1-6, August 2019. https://doi.org/10.35741/issn.0258-2724.54.4.4
Yamashita R., Nishio M., Do R. K. G., and Togashi K., “Convolutional neural networks: an overview and application in radiology,” Insights into Imaging, vol.9, no.4, pp:1-20, June 2018. https://doi.org/10.1007/s13244-018-0639-9
Audrain-Pontevia A. F., “Kohonen Self-Organizing Maps: A Neural Approach for Studying the Links Between Attributes and Overall Satisfaction in a Services Context,” Kohonen Self-Organizing Maps, vol.19, pp:128-137, January 2006.
Zhang P., Li S., and Zhou Y., “An Algorithm of Quantum Restricted Boltzmann Machine Network Based on Quantum Gates and Its Application,” Shock and Vibration, Vol. 2015, Article ID 756969, pp:1-7, September 2015. http://dx.doi.org/10.1155/2015/756969
Du K. L., and M. N. S. Swamy, “Hopfield Networks, Simulated Annealing, and Chaotic Neural Networks.,” In: Neural Networks and Statistical Learning. Springer, London. https://doi.org/10.1007/978-1-4471-5571-3_6
Nichie A., and Mills G. A., “Voice Recognition Using Artificial Neural Networks and Gaussian Mixture Models,” International Journal of Engineering Science and Technology, vol.5, no.5, pp:1120-1129, May 2013.
Lee C. C., “Fuzzy logic in control systems: fuzzy logic controller,” IEEE Transactions on Systems, Man, and Cybernetics, vol.20, no.2, pp:404-418, April 1990. https://doi.org/10.1109/21.52551
Phuong N. H. and Kreinovich V., “Fuzzy logic and its applications in medicine,” International Journal of Medical Informatics, vol.62, no.2–3, pp:165-173, July 2001, https://doi.org/10.1016/S1386-5056(01)00160-5
Ibrahim D., “An Overview of Soft Computing,” In Proceedings of International Conference on Application of Fuzzy Systems and Soft Computing, ICAFS 2016, 29-30 August 2016, Vienna, Austria. https://doi.org/10.1016/j.procs.2016.09.366
Doupe P., Faghmous J., and Basu S., “Machine Learning for Health Services Researchers,” Methodology, vol.22, no.7, pp:808-815, July 2019. https://doi.org/10.1016/j.jval.2019.02.012
Ker J., Wang L., Rao J., and Lim T., “Deep Learning Applications in Medical Image Analysis,” IEEE Access, vol.6, pp:9375 - 9389, December 2017. https://doi.org/10.1109/ACCESS.2017.2788044
Wua Y., Chena C., and Chan Y., “The outbreak of COVID-19: An overview,” Journal of the Chinese Medical Association, vol.83, no.3, pp:217-220. March 2020. https://doi.org/10.1097/JCMA.0000000000000270
Desai S. R., Prosch H., and Galvin J. R., Chapter 4-Plain Film and HRCT Diagnosis of Interstitial Lung Disease, in book: Diseases of the Chest, Breast, Heart and Vessels 2019-2022: Diagnostic and Interventional Imaging Hodler J., Kubik-Huch R. A., von Schulthess G. K., (eds.), February 2019.
Schmidhuber J., AI v Covid-19, April 2020, Article online: https://people.idsia.ch/~juergen/ai-covid.html
Nath R. P. and Balaji V. N., “Artificial Intelligence in Power Systems,” IOSR Journal of Computer Engineering, pp:1-7,2014. https://doi.org/10.23883/ijrter.2018.4234.eywih
Anwar A. and Abttan R. A., “Multiple Fault Detection, Classification and Location in Electric Power Transmission Lines in Matlab Environment,” International Journal of Engineering & Technology, vol.7, no.4.16, pp:111-119, 2018. https://doi.org/10.14419/ijet.v7i4.16.21790
Downloads
Published
Issue
Section
License
Copyright (c) 2021 Maad M. Mijwil, Rana A. Abttan
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
- Papers must be submitted on the understanding that they have not been published elsewhere (except in the form of an abstract or as part of a published lecture, review, or thesis) and are not currently under consideration by another journal published by any other publisher.
- It is also the authors responsibility to ensure that the articles emanating from a particular source are submitted with the necessary approval.
- The authors warrant that the paper is original and that he/she is the author of the paper, except for material that is clearly identified as to its original source, with permission notices from the copyright owners where required.
- The authors ensure that all the references carefully and they are accurate in the text as well as in the list of references (and vice versa).
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Attribution-NonCommercial 4.0 International that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).
- The journal/publisher is not responsible for subsequent uses of the work. It is the author's responsibility to bring an infringement action if so desired by the author.
