The Significance of Digitalisation and Artificial Intelligence in The Healthcare Sector: A Review
DOI:
https://doi.org/10.24203/ajpnms.v10i3.7065Keywords:
Artificial Intelligence, Digitalisation, Healthcare sector, Machine learning, Internet of thingsAbstract
Nowadays, artificial intelligence, machine learning, and deep learning are among the most popular and applied topics in many scientific and life fields that serve humanity. This science seeks to impose itself strongly on the various activities and academic circles and information science. Artificial intelligence techniques have proven their worth to be important in many fields, especially in the medical fields, business administration, military applications, communications, and many others. In short, artificial intelligence is from another world that will be of great importance in the future. In this article, the importance of digitisation and artificial intelligence in the healthcare sector will be addressed, what services they provide to this sector, and how they contribute to the service of healthcare workers and patient satisfaction. This article concluded that artificial intelligence and digital technologies are of great importance in the healthcare sector and can never be dispensed with.
References
Matias T., Dominski F. H., and Marks D. F., “Human needs in COVID-19 isolation,” Journal of Health Psychology, vol. 25, no. 7, pp: 871-882, June 2020. https://doi.org/10.1177/1359105320925149
Magnusson L., Finye C., and Enstedt C., “Access to basic needs and health care for Malawian prosthetic and orthotic users with lower limb physical disabilities: a cross-sectional study,” Disability and Rehabilitation, vol.43, no.26, pp:3764-3771, May 2020. https://doi.org/10.1080/09638288.2020.1752316
Mondejar M. E., Avtar R., Diaz H. L. B., Dubey R. K., Esteban J., et al., “Digitalization to achieve sustainable development goals: Steps towards a Smart Green Planet,” Science of The Total Environment, vol. 794, pp:148539, November 2021. https://doi.org/10.1016/j.scitotenv.2021.148539
Xiao Y., Becerik-Gerber B., Lucas G., and Roll S. C., “Impacts of Working From Home During COVID-19 Pandemic on Physical and Mental Well-Being of Office Workstation Users,” Journal of Occupational and Environmental Medicine, vol.63, no.3, pp:181-190, March 2021. https://doi.org/10.1097/JOM.0000000000002097
Cham T., Lim Y., Sia B., Cheahb J., and Ting H., “Medical Tourism Destination Image and its Relationship with the Intention to Revisit: A Study of Chinese Medical Tourists in Malaysia,” Journal of China Tourism Research, vol.17, no.2, pp:163-191, March 2020. https://doi.org/10.1080/19388160.2020.1734514
Kriegel J., Schmitt-Rüth S., Güntert B., and Mallory P., “New service development in German and Austrian health care – bringing e-health services into the market,” International Journal of Healthcare Management, vol.6, no.2, pp:77-86, November 2013. https://doi.org/10.1179/2047971913Y.0000000034
Li W., Yang Y., Liu Z.,Zhao Y., Zhang Q., et al., “Progression of Mental Health Services during the COVID-19 Outbreak in China, Progression of Mental Health Services during the COVID-19 Outbreak in China,” International Journal of Biological Sciences, vol.16, no.10, pp:1732-1738, 2020. https://doi.org/10.7150/ijbs.45120
Otu A., Charles C. H., and Yaya S., “Mental health and psychosocial well-being during the COVID-19 pandemic: the invisible elephant in the room,” International Journal of Mental Health Systems, vol. 14, no.38, pp:1-5, May 2020. https://doi.org/10.1186/s13033-020-00371-w
Aggarwal, K., Mijwil, M. M., Sonia, Al-Mistarehi, AH., Alomari, S., Gök M., Alaabdin, A. M., and Abdulrhman, S. H., “Has the Future Started? The Current Growth of Artificial Intelligence, Machine Learning, and Deep Learning,” Iraqi Journal for Computer Science and Mathematics, vol.3, no.1, pp:115-123, January 2022. https://doi.org/10.52866/ijcsm.2022.01.01.013
Aboelmaged M. and Hashem G., “RFID application in patient and medical asset operations management: A technology, organizational and environmental (TOE) perspective into key enablers and impediments,” International Journal of Medical Informatics, vol.118, pp:58-64, October 2018. https://doi.org/10.1016/j.ijmedinf.2018.07.009
Mijwil, M. M., Salem I. E, and Abttan R. A. “Utilisation of Machine Learning Techniques in Testing and Training of Different Medical Datasets,” Asian Journal of Computer and Information Systems, vol.9, no.5, pp:29-34, November 2021, https://doi.org/10.24203/ajcis.v9i4.6765
Abd S. N., Alsajri M., and Ibraheem H. R., “Rao-SVM Machine Learning Algorithm for Intrusion Detection System,” Iraqi Journal For Computer Science and Mathematics, vol.1, no.1, pp:23-27, January 2020. https://doi.org/10.52866/ijcsm.2019.01.01.004
Mijwil, M. M., “High Speed Transmission of Signal Level for White Light Emitting Diode (LED) as a Transmitter Device by using Modified Phase Equalization,” Indonesian Journal of Electrical Engineering and Computer Science, vol.17, no.3, pp.1348-1354, March 2020. https://doi.org/10.11591/ijeecs.v17.i3
Hasan A., Al-Jilawi A. S., and Alsharify F. H. A., “Review of Mathematical Modelling Techniques with Applications in Biosciences,” Iraqi Journal For Computer Science and Mathematics, vol.3, no.1, pp:135-144, January 2022. https://doi.org/10.52866/ijcsm.2022.01.01.015
Sabah N., Sagheer A., and Dawood O., “Survey: (Blockchain-Based Solution for COVID-19 and Smart Contract Healthcare Certification),” Iraqi Journal For Computer Science and Mathematics, vol.2, no.1, pp:1-8, January 2021. https://doi.org/10.52866/ijcsm.2021.02.01.001
Mijwil, M. M. and Abttan R. A., “Utilizing the Genetic Algorithm to Pruning the C4.5 Decision Tree Algorithm,” Asian Journal of Applied Sciences, vol.9, no.1, pp:45-52, February 2021. https://doi.org/10.24203/ajas.v9i1.6503
Al-mashhadani M. I., Hussein K. M., and Khudir E. T., “Sentiment Analysis using Optimized Feature Sets in Different Facebook/Twitter Dataset Domains using Big Data,” Iraqi Journal For Computer Science and Mathematics, vol.3, no.1, pp:64-70, January 2022. https://doi.org/10.52866/ijcsm.2022.01.01.007
Salem I. E., Mijwil M. M., Abdulqader A. W., and Ismaeel M. M., “Flight-Schedule using Dijkstra's Algorithm with Comparison of Routes Finding,” International Journal of Electrical and Computer Engineering, vol.12, no.2, pp:1675-1682, April 2022. http://doi.org/10.11591/ijece.v12i2.pp1675-1682.
Kumar H., Soh P. J., and Ismail M. A., “Big Data Streaming Platforms: A Review,” Iraqi Journal For Computer Science and Mathematics, vol.3, no.2, pp: 95-100, April 2022. https://doi.org/10.52866/ijcsm.2022.02.01.010
Mijwil, M. M., and Abttan R. A., “Artificial Intelligence: A Survey on Evolution and Future Trends,” Asian Journal of Applied Sciences, vol.9, no.2, pp:87-93, April 2021. https://doi.org/10.24203/ajas.v9i2.6589
Kokshagina O., “Managing shifts to value-based healthcare and value digitalization as a multi-level dynamic capability development process,” Technological Forecasting and Social Change, vol.172, pp:121072, November 2021. https://doi.org/10.1016/j.techfore.2021.121072
McGrowder D. A., Miller F. G., Vaz K., Cross M. A., Anderson-Jackson L., et al., “The Utilization and Benefits of Telehealth Services by Health Care Professionals Managing Breast Cancer Patients during the COVID-19 Pandemic,” Healthcare, vol.9, no.10, pp:1-23, October 2021. https://doi.org/10.3390/healthcare9101401
Shuaib K., Saleous H., Shuaib K., and Zaki N., “Blockchains for Secure Digitized Medicine,” Journal of Personalized Medicine, vol.9, no.3, pp:1-21, July 2019. https://doi.org/10.3390/jpm9030035
Murad N. M., Rejeb L., Said L. B., “The Use of DCNN for Road Path Detection and Segmentation,” Iraqi Journal For Computer Science and Mathematics, vol. 3, no. 2, pp. 119–127, Jun 2022. https://doi.org/10.52866/ijcsm.2022.02.01.013
Dhagarra D., Goswami M., and Kumar G., “Impact of Trust and Privacy Concerns on Technology Acceptance in Healthcare: An Indian Perspective,” International Journal of Medical Informatics, vol.141, pp:104164, September 2020. https://doi.org/10.1016/j.ijmedinf.2020.104164
Alam M. Z., Hoque R., Hu W., and Barua Z., “Factors influencing the adoption of mHealth services in a developing country: A patient-centric study,” International Journal of Information Management, vol.50, pp:128-143, February 2020. https://doi.org/10.1016/j.ijinfomgt.2019.04.016
Pramanik P. K. D., Pal S., and Mukhopadhyay M., “Healthcare Big Data: A Comprehensive Overview,” Research Anthology on Big Data Analytics, Architectures, and Applications, pp:119-147, 2020. https://doi.org/10.4018/978-1-6684-3662-2.ch006
Cherif E., Bezaz N., and Mzoughi M., “Do personal health concerns and trust in healthcare providers mitigate privacy concerns? Effects on patients’ intention to share personal health data on electronic health records,” Social Science & Medicine, vol. 283, pp: 114146, August 2021. https://doi.org/10.1016/j.socscimed.2021.114146
Fredriksen E., Thygesen E., Moe C. E., and Martinez S., “Digitalisation of municipal healthcare collaboration with volunteers: a case study applying normalization process theory,” BMC Health Services Research, vol.21, no. 410, pp:1-13, May 2021. https://doi.org/10.1186/s12913-021-06429-w
Wang Y., Kung L., and Byrd T. A., “Big data analytics: Understanding its capabilities and potential benefits for healthcare organizations,” Technological Forecasting and Social Change, vol.126, pp:3-13, January 2018. https://doi.org/10.1016/j.techfore.2015.12.019
Artificial Intelligence In Healthcare Market Size Report, 2030, Grand View Research, 2020. https://www.grandviewresearch.com/industry-analysis/artificial-intelligence-ai-healthcare-market#
Faieq, A. K., and Mijwil, M. M., “Prediction of Heart Diseases Utilising Support Vector Machine and Artificial Neural Network,” Indonesian Journal of Electrical Engineering and Computer Science, vol.26, no.1, pp:374-380, April 2022. http://doi.org/10.11591/ijeecs.v26.i1.pp374-380
Mijwil, M., Al-Mistarehi, A.H. and Mutar, D.S., 2022. The Practices of Artificial Intelligence Techniques and Their Worth in the Confrontation of COVID-19 Pandemic: A Literature Review.
Mijwil, M.M. and Alsaadi21, A.S., Applying Machine Learning Techniques to Predict Chronic Kidney Disease in Humans.
Mijwil, M. M., Abttan R. A., and Alkhazraji A., “Artificial intelligence for COVID-19: A Short Article,” Asian Journal of Pharmacy, Nursing and Medical Sciences, vol.10, no.1, pp:1-6, May 2022. https://doi.org/10.24203/ajpnms.v10i1.6961
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, Augusts 2019. https://doi.org/10.35741/issn.0258-2724.54.4.4.
Hasan A., Al-Jilawi A. S., and Alsharify F. H. A., “Review of Mathematical Modelling Techniques with Applications in Biosciences,” Iraqi Journal For Computer Science and Mathematics, vol.3, no.1, pp:135-144, January 2022. https://doi.org/10.52866/ijcsm.2022.01.01.015
Farhan B. I., Jasim A. D., “A Survey of Intrusion Detection Using Deep Learning in Internet of Things,” Iraqi Journal For Computer Science and Mathematics, vol. 3, no. 1, pp. 83–93, January 2022. https://doi.org/10.52866/ijcsm.2022.01.01.009
Rahman Z. S. A., Jasim B. H., and Al-Yasir Y. I.A., “Chaotic Dynamics in the 2D System of Nonsmooth Ordinary Differential Equations,” Iraqi Journal For Computer Science and Mathematics, vol. 3, no. 2, pp. 8–17, February 2022. https://doi.org/10.52866/ijcsm.2022.02.01.002
Mijwil M. M., Aggarwal K., Doshi R., Hiran K. K., Sundaravadivazhagan B. “Deep Learning Techniques for COVID-19 Detection Based on Chest X-ray and CT-scan Images: A Short Review and Future Perspective,” Asian Journal of Applied Sciences, vol.10, no.3, pp:224-231, July 2022. https://doi.org/10.24203/ajas.v10i3.6998
Kim H. K. and Lee C. W., “Relationships among Healthcare Digitalization, Social Capital, and Supply Chain Performance in the Healthcare Manufacturing Industry,” International Journal of Environmental Research and Public Health, vol.18, no.4, pp:1-13, February 2021. https://doi.org/10.3390/ijerph18041417
Maier E., Reimer U., and Wickramasinghe N., “Digital healthcare services,” Electronic Markets, vol.31, pp:743–746, November 2021. https://doi.org/10.1007/s12525-021-00513-z
T S. R., Sathya R., Ensemble Machine Learning Techniques for Attack Prediction in NIDS Environment, Iraqi Journal For Computer Science and Mathematics, vol. 3, no. 2, pp: 78–82, March 2022. https://doi.org/10.52866/ijcsm.2022.02.01.008
Unogwu O. J., Doshi R., Hiran K. K., and Mijwil M. M., “Introduction to Quantum-Resistant Blockchain,” In Advancements in Quantum Blockchain With Real-Time Applications, pp: 36-55. IGI Global, 2022. https://doi.org/10.4018/978-1-6684-5072-7.ch002
Hole G., Hole A. S., and McFalone-Shaw I., Digitalization in pharmaceutical industry: What to focus on under the digital implementation process?, International Journal of Pharmaceutics: X, vol.3, pp:100095, December 2021. https://doi.org/10.1016/j.ijpx.2021.100095
Basile L. J., Carbonara N., Pellegrino R., and Panniello U., Business intelligence in the healthcare industry: The utilization of a data-driven approach to support clinical decision making, Technovation, In press, 102482, February 2022. https://doi.org/10.1016/j.technovation.2022.102482
Mijwil, M. M. and Khazaal, S. M., “A Filed Study of Effect Using the Internet on Iraqi Family’s Relationship in Khanaqin City by Using Linear Regression,” Asian Journal of Applied Sciences, vol. 7, no.4, pp: 451-455. Augusts 2019. https://doi.org/10.24203/ajas.v7i4.5893
Salem, I. E., Salman, A. M., and Mijwil, M. M., “A Survey: Cryptographic Hash Functions for Digital Stamping,” Journal of Southwest Jiaotong University, vol.54, no.6, pp.1-11, December 2019. https://doi.org/10.35741/issn.0258-2724.54.6.2.
Hiran K. K. and Doshi R., “An Artificial Neural Network Approach for Brain Tumor Detection Using Digital Image Segmentation,” International Journal of Emerging Trends & Technology in Computer Science, vol.2, no.5, pp:227-231, October 2013.
Salem I. E., Abdulqader A. W., Ismaeel M. M. and Mijwil M. M., “A Survey: The Role of Research and Development in Securing the Effective Transfer of Technology,” Asian Journal of Applied Sciences, vol.9, no.5, pp:353-360, November 2021. https://doi.org/10.24203/ajas.v9i5.6788
Mijwil, M. M., Alsaadi, A. S, and Aggarwal K., “Differences and Similarities Between Coronaviruses: A Comparative Review,” Asian Journal of Pharmacy, Nursing and Medical Sciences, vol.9, no.4, pp:49-61, September 2021. https://doi.org/10.24203/ajpnms.v9i4.6696
Khoshnood S., Ghanavati R., Shirani M., Sholeh M., Shariati A., et al., “Viral vector and nucleic acid vaccines against COVID-19: A narrative review,” Frontiers in Microbiology, vol.13, pp:1-20, August 2022. https://doi.org/10.3389/fmicb.2022.984536
Mijwil, M. M., Al-Mistarehi, AH., Zahran D. J., Alomari S., and Doshi R., “Spanish Flu (Great Influenza) 1918: The Tale of The Most deadly Pandemic in History,” Asian Journal of Applied Sciences, vol.10, no.2, pp:109-115, May 2022. https://doi.org/10.24203/ajas.v10i2.6949
Khan M., Mehran M. T., Haq Z.U., Ullah Z., Naqvi S. R., et al., “Applications of artificial intelligence in COVID-19 pandemic: A comprehensive review,” Expert Systems with Applications, vol.185, pp:115695, December 2021. https://doi.org/10.1016/j.eswa.2021.115695
Mijwil, M. M. and Al-Zubaidi, E. A., “Medical Image Classification for Coronavirus Disease (COVID-19) Using Convolutional Neural Networks,” Iraqi Journal of Science, vol.62, no.8, pp: 2740-2747, August 2021. https://doi.org/10.24996/ijs.2021.62.8.27.
Gunasekeran D. V., Tseng R. M. W. W., Tham Y., and Wong T. Y., “Applications of digital health for public health responses to COVID-19: a systematic scoping review of artificial intelligence, telehealth and related technologies”, npj Digital Medicine, vol. 4, no. 40, pp:1-6, February 2021. https://doi.org/10.1038/s41746-021-00412-9
Mijwil, M. M., Aggarwal K., Mutar D. S., Mansour N., and Singh R. S. S., “The Position of Artificial Intelligence in the Future of Education: An Overview,” Asian Journal of Applied Sciences, vol.10, no.2, pp:102-108, May 2022. https://doi.org/10.24203/ajas.v10i2.6956
Piccialli F., Cola V. S., Giampaolo F., and Cuomo S., “The Role of Artificial Intelligence in Fighting the COVID-19 Pandemic,” Information Systems Frontiers, vol. 23, pp:1467–1497, April 2021. https://doi.org/10.1007/s10796-021-10131-x
Hasan R. A., Abdulwahid H. W., and Abdalzahra A. S., “Using Ideal Time Horizon for Energy Cost Determination,” Iraqi Journal For Computer Science and Mathematics, vol. 2, no. 1, pp: 9–13, January 2021. https://doi.org/10.52866/ijcsm.2021.02.01.002
Mijwil, M. M. and Salem I. E., “Credit Card Fraud Detection in Payment Using Machine Learning Classifiers,” Asian Journal of Computer and Information Systems, vol.8, no.4, pp:50-53, December 2020. https://doi.org/10.24203/ajcis.v8i4.6449
Mbunge E., Batani J., Gaobotse G., and Muchemwa B., “Virtual healthcare services and digital health technologies deployed during coronavirus disease 2019 (COVID-19) pandemic in South Africa: a systematic review,” Global Health Journal, vol.6, no.2, pp: 102-113, June 2022. https://doi.org/10.1016/j.glohj.2022.03.001
Li J. O., Liu H., Ting D. S. J., Jeon S., Chan R. V. O., “Digital technology, tele-medicine and artificial intelligence in ophthalmology: A global perspective,” Progress in Retinal and Eye Research, vol.82, pp:100900, May 2021. https://doi.org/10.1016/j.preteyeres.2020.100900
Mijwil, M. M., and Shukur B. S., “A Scoping Review of Machine Learning Techniques and Their Utilisation in Predicting Heart Diseases,” Ibn AL- Haitham Journal For Pure and Applied Sciences, vol. 35, no.3, pp: 175-189, July 2022. https://doi.org/10.30526/35.3.2813
Schwalbe N. and Wahl B., “Artificial intelligence and the future of global health,” The Lancet, vol. 395, no.10236, pp: 1579-1586, May 2020. https://doi.org/10.1016/S0140-6736(20)30226-9
Mijwil, M. M. and Aggarwal K., “A Diagnostic Testing for People with Appendicitis Using Machine Learning Techniques,” Multimedia Tools and Applications, vol. 81, no. 3, pp:7011-7023, January 2022. http://doi.org/10.1007/s11042-022-11939-8.
Mijwil M. M., Shukur B. S., and Mahmood E. Sh., “The Most Common Heart Diseases and Their Influence on Human Life: A Mini-review,” Journal of Advances in Medicine and Medical Research, vol.34, no.15, pp:26-36, May 2022. https://doi.org/10.9734/jammr/2022/v34i1531396
Johnson K. W., Soto J. T., Glicksberg B. S., Shameer K., Miotto R., et al., “Artificial Intelligence in Cardiology,” Journal of the American College of Cardiology, vol.71, no.23, pp:2668–2679. 2018. https://doi.org/10.1016/j.jacc.2018.03.521
Mijwil M. M., “An Optimization Energy Consumption of Sensor Nodes for Car Parking Management,” Data Science and Applications, vol.3, no.1, pp:13-16, December 2020.
Mijwil M. M., Al-Mistarehi AH., and Aggarwal K., “The Effectiveness of Utilising Modern Artificial Intelligence Techniques and Initiatives to Combat COVID-19 in South Korea: A Narrative Review,” Asian Journal of Applied Sciences, vol.9, no.5, pp:343-352, November 2021. https://doi.org/10.24203/ajas.v9i5.6753
Shin S., “Current status and future direction of digital health in Korea,” The Korean Journal of Physiology & Pharmacology, vol.23, no.5, pp:311-315, August 2019. https://doi.org/10.4196/kjpp.2019.23.5.311
Mijwil M. M., “Implementation of Machine Learning Techniques for the Classification of Lung X-Ray Images Used to Detect COVID-19 in Humans,” Iraqi Journal of Science, vol.62, no.6., pp: 2099-2109, July 2021. https://doi.org/10.24996/ijs.2021.62.6.35.
Mijwil M. M., Aggarwal K., Doshi R., Hiran K. K., and Gök M., “The Distinction between R-CNN and Fast R-CNN in Image Analysis: A Performance Comparison,” Asian Journal of Applied Sciences, vol.10, no.5, pp: In press, 2022.
Yassin N. I. R., Omran S., El Houby E. M. F., and Allam H., “Machine learning techniques for breast cancer computer aided diagnosis using different image modalities: A systematic review,” Computer Methods and Programs in Biomedicine, vol.156, pp:25-45, March 2018. https://doi.org/10.1016/j.cmpb.2017.12.012
Abdullah-Al Nahid, Mehrabi M. A., and Kong Y., “Histopathological Breast Cancer Image Classification by Deep Neural Network Techniques Guided by Local Clustering,” BioMed Research International, vol.2018, no.2362108, pp:1-21, March 2018. https://doi.org/10.1155/2018/2362108
Lakshmanaprabu S. K., Mohanty S. N., Shankar K., Arunkumar N., and Ramirez G., “Optimal deep learning model for classification of lung cancer on CT images,” Future Generation Computer Systems, vol.92, pp:374-382, March 2019. https://doi.org/10.1016/j.future.2018.10.009
Balestrieri E., Vito L. D., Picariello F., and Tudosa I., “A Novel Method for Compressed Sensing based Sampling of ECG Signals in Medical-IoT era,” IEEE International Symposium on Medical Measurements and Applications, pp:1-6, 26-28 June 2019, Istanbul, Turkey. https://doi.org/10.1109/MeMeA.2019.8802184
Yassin A., El-Salem K., Al-Mistarehi AH., “Use of Innovative SPECT Techniques in the Presurgical Evaluation of Patients with Nonlesional Extratemporal Drug-Resistant Epilepsy,” Molecular Imaging, vol. 2021, Article ID 6614356, pp:1-9, March 2021. https://doi.org/10.1155/2021/6614356
Samrah S M, Al-Mistarehi AH W, Ibnian A M, Raffee L A, Momany S M, Al-Ali M, et al., “COVID-19 outbreak in Jordan: Epidemiological features, clinical characteristics, and laboratory findings,” Annals of Medicine and Surgery, vol.57, pp: 103-108, September 2020. https://doi.org/10.1016/j.amsu.2020.07.020
Khassawneh A. H., Alrabadi N., Al-Mistarehi AH., Obeidat N., and Kheirallah K. A., “The role of non-state actors in combating COVID-19 spread in Northern Jordan,” Annals of Medicine and Surgery, vol.60, pp:484-486, December 2020. https://doi.org/10.1016/j.amsu.2020.11.005
Samrah S M, Al-Mistarehi AH, Aleshawi A J, Khasawneh A G, Momany S M, Momany B S et al., “Depression and Coping Among COVID-19-Infected Individuals After 10 Days of Mandatory in-Hospital Quarantine, Irbid, Jordan,” Psychology Research and Behavior Management, vol.13, pp: 823—830, October 2020. https://doi.org/10.2147/PRBM.S267459
Al-Mistarehi, B.W., Alomari, A.H., Mijwil, M.M., Khedaywi, T.S. and Ayasrah, M., 2023. Model Structure from Laser Scanner Point Clouds. In Proceedings of International Conference on Frontiers in Computing and Systems (pp. 181-190). Springer, Singapore. https://doi.org/10.1007/978-981-19-0105-8_18
Allam Z. and Dhunny Z. A., “On big data, artificial intelligence and smart cities,” Cities, vol.89, pp:80-91, June 2019. https://doi.org/10.1016/j.cities.2019.01.032
Downloads
Published
Issue
Section
License
Copyright (c) 2022 Maad M. Mijwil, Alaa Khaleel Faieq, Abdel-Hameed Al-Mistarehi
This work is licensed under a Creative Commons Attribution-NoDerivatives 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.
