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Rekreasyon Alanında Yapay Zeka ve Nesnelerin İnterneti: Sistematik Literatür İncelemesi

Yıl 2024, Cilt: 9 Sayı: 3, 374 - 388, 31.10.2024
https://doi.org/10.25307/jssr.1516895

Öz

Bu çalışmanın amacı rekreasyon ve serbest zaman alanında yapay zeka ve nesnelerin interneti kullanımı ile ilgili literatürün incelenmesi ve araştırmalardan elde edilen sonuçların oluşturulan temalara göre sınıflandırılmasıdır. Sistematik literatür taraması yönteminin kullanıldığı araştırma kapsamında amaca uygun seçim kriterlerinin belirlenmesi, veri kaynağının seçilmesi, veri çıkarma, sonuçların sınıflandırılması ve raporlama protokolü izlenmiştir. Rekreasyon ve serbest zaman alanında yapay zeka ve nesnelerin interneti kavramlarını konu alan 2017-2024 yılları arasında Web of Science (WOS) veri tabanında yer alan 69 makaleye ulaşılmış filtreleme işlemlerinin ardından anahtar kelimeler ışığında 23 tam metinli makale sistematik incelemeye tabi tutulmuştur. İlgili çalışmalar yıl, dergi, odak noktası, ülke, teknoloji türü, rekreasyon alanı ve elde edilen sonuçlara göre sınıflandırılmıştır. İlgili makalelerden elde edilen bulgular güvenlik, ekosistem, kişiselleştirilmiş rekreasyon deneyimi, giyilebilir teknoloji, sağlık, potansiyel rekreasyon ve serbest zaman alanları olmak üzere altı tema altında ele alınmıştır. Çalışmalarda en çok araştırılan rekreasyon alanları rekreasyonel turizm alanları olurken, genel olarak bakıldığında ise açık alan rekreasyon konusu üzerinde yoğunlaşıldığı görülmüştür. Çalışmalarda genellikle doğa koruma ile planlı ve güvenli kişisel serbest zamana atıfta bulunulduğu belirlenmiştir. Sonuç olarak rekreasyon alanında yapay zeka ve nesnelerin interneti teknolojilerinin farklı konseptlerde kullanıldığı belirlenmiş ve yapılan çalışma sayısının sınırlı olduğu tespit edilmiştir.

Kaynakça

  • Abang-Abdurahman, A. Z., Wan Yaacob, W. F., Md Nasir, S. A., Jaya, S., & Mokhtar, S. (2022). Using machine learning to predict visitors to totally protected areas in Sarawak, Malaysia. Sustainability, 14(5), Article 2735. https://doi.org/10.3390/su14052735
  • Altıntop, M. (2023). Yapay zekâ/akıllı öğrenme teknolojileriyle akademik metin yazma: Chatgpt örneği. Süleyman Demirel Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 46, 186-211.
  • Atzori, L., Iera, A., & Morabito, G. (2010). The internet of things: A survey. Computer Networks, 54(15), 2787-2805. https://doi.org/10.1016/j.comnet.2010.05.010
  • Baalbaki, H., Harb, H., Rashid, A. S. K., Jaber, A., Jaoude, C. A., Zaki, C., & Tout, K. (2022). LOGO: An efficient local and global data collection mechanism for remote underwater monitoring. EURASIP Journal on Wireless Communications and Networking, 2022(1), 1-22. https://doi.org/10.1186/s13638-022-02086-7
  • Binesh, F., & Baloglu, S. (2023). Are we ready for hotel robots after the pandemic? A profile analysis. Computers in Human Behavior, 147, Article 107854. https://doi.org/10.1016/j.chb.2023.107854
  • Borgia, E. (2014). The internet of things vision: Key features, applications and open issues. Computer Communications, 54, 1-31. https://doi.org/10.1016/j.comcom.2014.09.008
  • Bozkurt, A., Karadeniz, A., Baneres, D., Guerrero-Roldán, A. E., & Rodríguez, M. E. (2021). Artificial intelligence and reflections from educational landscape: A review of AI Studies in half a century. Sustainability, 13(2), Article 800. https://doi.org/10.3390/su13020800
  • Cao, J. (2023). The ecological safety assessment and brand communication of ice-snow tourism under the internet of things and deep learning. IEEE Access, 11, 128235-128244. https://doi.org/10.1109/ACCESS.2023.3332688
  • Capriolo, A., Boschetto, R. G., Mascolo, R. A., Balbi, S., & Villa, F. J. E. S. (2020). Biophysical and economic assessment of four ecosystem services for natural capital accounting in Italy. Ecosystem Services, 46, Article 101207. https://doi.org/10.1016/j.ecoser.2020.101207
  • Cepeda-Pacheco, J. C., & Domingo, M. C. (2022). Deep learning and internet of things for tourist attraction recommendations in smart cities. Neural Computing and Applications, 34(10), 7691-7709. https://doi.org/10.1007/s00521-021-06872-0
  • Coman, C. M., Toma, B. C., Constantin, M. A., & Florescu, A. (2023). Ground level LiDAR as a contributing indicator in an environmental protection application. IEEE Access, 11, 106277-106288. https://doi.org/10.1109/ACCESS.2023.3319453.
  • Ding, S., Zhang, R., Liu, Y., Lu, P., & Liu, M. (2023). Visitor crowding at World Heritage Sites based on tourist spatial-temporal distribution: A case study of the Master-of-Nets Garden, China. Journal of Heritage Tourism, 18(5), 632-657. https://doi.org/10.1080/1743873X.2023.2214680
  • Eskerod, P., Hollensen, S., Morales-Contreras, M. F., & Arteaga-Ortiz, J. (2019). Drivers for pursuing sustainability through IoT technology within high-end hotels—an exploratory study. Sustainability, 11(19), Article 5372. https://doi.org/10.3390/su11195372
  • Farrokhi, A., Farahbakhsh, R., Rezazadeh, J., & Minerva, R. (2021). Application of Internet of Things and artificial intelligence for smart fitness: A survey. Computer Networks, 189, Article 107859. https://doi.org/10.1016/j.comnet.2021.107859
  • Feng, M., Zhang, X., & Liu, P. (2022). Development potential of the Internet of Things‐based forest recreation under the background of informatization. Mobile Information Systems, 2022(1), Article 6309178. https://doi.org/10.1155/2022/6309178
  • Fennell, M., Beirne, C., & Burton, A. C. (2022). Use of object detection in camera trap image identification: Assessing a method to rapidly and accurately classify human and animal detections for research and application in recreation ecology. Global Ecology and Conservation, 35, e02104. https://doi.org/10.1016/j.gecco.2022.e02104
  • Greenhill, A. T., & Edmunds, B. R. (2020). A primer of artificial intelligence in medicine. Techniques and Innovations in Gastrointestinal Endoscopy, 22(2), 85-89. https://doi.org/10.1016/j.tgie.2019.150642
  • Hajjaji, Y., Boulila, W., Farah, I. R., Romdhani, I., & Hussain, A. (2021). Big data and IoT-based applications in smart environments: A systematic review. Computer Science Review, 39, Article 100318. https://doi.org/10.1016/j.cosrev.2020.100318
  • Hämäläinen, M., Mucchi, L., Girod-Genet, M., Paso, T., Farserotu, J., Tanaka, H., ... & Dallemagne, P. (2020). ETSI SmartBAN architecture: The global vision for smart body area networks. IEEE Access, 8, 150611-150625. https://doi.org/10.1109/ACCESS.2020.3016705
  • Hemingway P., & Brereton N. (2009). What is a systematic review?. What is…? Series (2nd ed.). Hayward Medical Communications.
  • Kitchenham, B. (2004). Procedures for performing systematic reviews. Keele, UK, 33(2004), 1-26.
  • Ko, D., & Choi, J. (2017). Forest lodge room navigation algorithm based on beacon. International Journal of Grid and Distributed Computing, 10(12), 1-10. https://doi.org/10.14257/ijgdc.2017.10.12.01
  • Leonidis, A., Korozi, M., Kouroumalis, V., Poutouris, E., Stefanidi, E., Arampatzis, D., ... & Antona, M. (2019). Ambient intelligence in the living room. Sensors, 19(22), Article 5011. https://doi.org/10.3390/s19225011
  • Lin, C. C., Liu, W. Y., & Lu, Y. W. (2019). Three-dimensional internet-of-things deployment with optimal management service benefits for smart tourism services in forest recreation parks. IEEE Access, 7, 182366-182380. https://doi.org/10.1109/ACCESS.2019.2960212
  • Lin, Y. C., & Chen, T. C. T. (2022). Type-II fuzzy approach with explainable artificial intelligence for nature-based leisure travel destination selection amid the COVID-19 pandemic. Digital Health, 8, 1-15. https://doi.org/10.1177/20552076221106322
  • Malik, P., Pathania, M., & Rathaur, V. K. (2019). Overview of artificial intelligence in medicine. Journal of Family Medicine and Primary Care, 8(7), 2328-2331. https://doi.org/10.4103/jfmpc.jfmpc_440_19
  • Marin, J., Blanco, T., & Marin, J. J. (2017). Octopus: A design methodology for motion capture wearables. Sensors, 17(8), 1875. https://doi.org/10.3390/s17081875
  • Miller, I. J., Stapelberg, M., Rosic, N., Hudson, J., Coxon, P., Furness, J., ... & Climstein, M. (2023). Implementation of artificial intelligence for the detection of cutaneous melanoma within a primary care setting: prevalence and types of skin cancer in outdoor enthusiasts. PeerJ, 11, e15737. https://doi.org/10.7717/peerj.15737
  • Moher, D., Liberati, A., Tetzlaff, J., Altman, D. G., & Prisma Group. (2010). Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. International Journal of Surgery, 8(5), 336-341. https://doi.org/10.1016/j.ijsu.2010.02.007
  • Ramesh A. N., Kambhampati C., Monson J. R., Drew P. J. (2004). Artificial intelligence in medicine. Annals of the Royal College of Surgeons of England, 86(5), 334-338. https://doi.org/10.1308/147870804290
  • Riboni, D. (2019). Opportunistic pervasive computing: adaptive context recognition and interfaces. CCF Transactions on Pervasive Computing and Interaction, 1(2), 125-139. https://doi.org/10.1007/s42486-018-00004-9
  • Sabbioni, A., Villano, T., & Corradi, A. (2022). An architecture for service integration to fully support novel personalized smart tourism offerings. Sensors, 22(4), 1619. https://doi.org/10.3390/s22041619
  • Sun, G. (2020). Symmetry analysis in analyzing cognitive and emotional attitudes for tourism consumers by applying artificial intelligence python technology. Symmetry, 12(4), Article 606. https://doi.org/10.3390/sym12040606
  • Sun, L., Jiang, X., Ren, H., & Guo, Y. (2020). Edge-cloud computing and artificial intelligence in internet of medical things: architecture, technology and application. IEEE Access, 8, 101079-101092. https://doi.org/10.1109/ACCESS.2020.2997831
  • Visvikis, D., Cheze Le Rest, C., Jaouen, V., & Hatt, M. (2019). Artificial intelligence, machine (deep) learning and radio (geno) mics: Definitions and nuclear medicine imaging applications. European Journal of Nuclear Medicine and Molecular Imaging, 46(13), 2630-2637. https://doi.org/10.1007/s00259-019-04373-w
  • Winder, S. G., Lee, H., Seo, B., Lia, E. H., & Wood, S. A. (2022). An open‐source image classifier for characterizing recreational activities across landscapes. People and Nature, 4(5), 1249-1262. https://doi.org/10.1002/pan3.10382
  • Xiao, Y., & Watson, M. (2019). Guidance on conducting a systematic literature review. Journal of Planning Education and Research, 39(1), 93-112. https://doi.org/10.1177/0739456X17723971
  • Zhou, R., & Wu, F. (2023). Inheritance and Innovation Development of Sports based on Deep Learning and Artificial Intelligence. IEEE Access, 11, 116511-116523. https://doi.org/10.1109/ACCESS.2023.3325670
  • Zhu, Y., & Liu, L. (2022). Difference between artificial intelligence of the internet of things and the traditional internet. In 2022 World Automation Congress (WAC) (pp. 287-291). IEEE. https://doi.org/10.23919/WAC55640.2022.9934002

Artificial Intelligence and the Internet of Things in Recreation: A Systematic Literature Review

Yıl 2024, Cilt: 9 Sayı: 3, 374 - 388, 31.10.2024
https://doi.org/10.25307/jssr.1516895

Öz

This study aimed to examine the literature on the use of artificial intelligence and the Internet of Things in the field of recreation and leisure and present the results within themes identified inductively from the data. We employed a systematic review methodology, consisting of determining appropriate selection criteria, choosing data sources, extracting data, categorizing the results, and reporting. Using the Web of Science database, we identified a total of 69 articles published between 2017 and 2024. After filtering and screening for keywords, 23 full-text articles related to artificial intelligence and the Internet of Things in the field of recreation and leisure were included in the analysis. Relevant studies were evaluated according to year, journal, focus, country, type of technology, recreation area, and results obtained. Findings from the reviewed articles are discussed under six themes: safety, ecosystem, personalized recreation experience, wearable technology, health, and potential recreation and leisure areas. We observed that the most frequently investigated topic in the studies was recreational tourism, with a general focus on outdoor recreation. The studies often referred to nature conservation and planned and safe personal leisure time. In conclusion, we determined that artificial intelligence and Internet of Things technologies have various applications in the field of recreation, but relevant studies are limited.

Kaynakça

  • Abang-Abdurahman, A. Z., Wan Yaacob, W. F., Md Nasir, S. A., Jaya, S., & Mokhtar, S. (2022). Using machine learning to predict visitors to totally protected areas in Sarawak, Malaysia. Sustainability, 14(5), Article 2735. https://doi.org/10.3390/su14052735
  • Altıntop, M. (2023). Yapay zekâ/akıllı öğrenme teknolojileriyle akademik metin yazma: Chatgpt örneği. Süleyman Demirel Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 46, 186-211.
  • Atzori, L., Iera, A., & Morabito, G. (2010). The internet of things: A survey. Computer Networks, 54(15), 2787-2805. https://doi.org/10.1016/j.comnet.2010.05.010
  • Baalbaki, H., Harb, H., Rashid, A. S. K., Jaber, A., Jaoude, C. A., Zaki, C., & Tout, K. (2022). LOGO: An efficient local and global data collection mechanism for remote underwater monitoring. EURASIP Journal on Wireless Communications and Networking, 2022(1), 1-22. https://doi.org/10.1186/s13638-022-02086-7
  • Binesh, F., & Baloglu, S. (2023). Are we ready for hotel robots after the pandemic? A profile analysis. Computers in Human Behavior, 147, Article 107854. https://doi.org/10.1016/j.chb.2023.107854
  • Borgia, E. (2014). The internet of things vision: Key features, applications and open issues. Computer Communications, 54, 1-31. https://doi.org/10.1016/j.comcom.2014.09.008
  • Bozkurt, A., Karadeniz, A., Baneres, D., Guerrero-Roldán, A. E., & Rodríguez, M. E. (2021). Artificial intelligence and reflections from educational landscape: A review of AI Studies in half a century. Sustainability, 13(2), Article 800. https://doi.org/10.3390/su13020800
  • Cao, J. (2023). The ecological safety assessment and brand communication of ice-snow tourism under the internet of things and deep learning. IEEE Access, 11, 128235-128244. https://doi.org/10.1109/ACCESS.2023.3332688
  • Capriolo, A., Boschetto, R. G., Mascolo, R. A., Balbi, S., & Villa, F. J. E. S. (2020). Biophysical and economic assessment of four ecosystem services for natural capital accounting in Italy. Ecosystem Services, 46, Article 101207. https://doi.org/10.1016/j.ecoser.2020.101207
  • Cepeda-Pacheco, J. C., & Domingo, M. C. (2022). Deep learning and internet of things for tourist attraction recommendations in smart cities. Neural Computing and Applications, 34(10), 7691-7709. https://doi.org/10.1007/s00521-021-06872-0
  • Coman, C. M., Toma, B. C., Constantin, M. A., & Florescu, A. (2023). Ground level LiDAR as a contributing indicator in an environmental protection application. IEEE Access, 11, 106277-106288. https://doi.org/10.1109/ACCESS.2023.3319453.
  • Ding, S., Zhang, R., Liu, Y., Lu, P., & Liu, M. (2023). Visitor crowding at World Heritage Sites based on tourist spatial-temporal distribution: A case study of the Master-of-Nets Garden, China. Journal of Heritage Tourism, 18(5), 632-657. https://doi.org/10.1080/1743873X.2023.2214680
  • Eskerod, P., Hollensen, S., Morales-Contreras, M. F., & Arteaga-Ortiz, J. (2019). Drivers for pursuing sustainability through IoT technology within high-end hotels—an exploratory study. Sustainability, 11(19), Article 5372. https://doi.org/10.3390/su11195372
  • Farrokhi, A., Farahbakhsh, R., Rezazadeh, J., & Minerva, R. (2021). Application of Internet of Things and artificial intelligence for smart fitness: A survey. Computer Networks, 189, Article 107859. https://doi.org/10.1016/j.comnet.2021.107859
  • Feng, M., Zhang, X., & Liu, P. (2022). Development potential of the Internet of Things‐based forest recreation under the background of informatization. Mobile Information Systems, 2022(1), Article 6309178. https://doi.org/10.1155/2022/6309178
  • Fennell, M., Beirne, C., & Burton, A. C. (2022). Use of object detection in camera trap image identification: Assessing a method to rapidly and accurately classify human and animal detections for research and application in recreation ecology. Global Ecology and Conservation, 35, e02104. https://doi.org/10.1016/j.gecco.2022.e02104
  • Greenhill, A. T., & Edmunds, B. R. (2020). A primer of artificial intelligence in medicine. Techniques and Innovations in Gastrointestinal Endoscopy, 22(2), 85-89. https://doi.org/10.1016/j.tgie.2019.150642
  • Hajjaji, Y., Boulila, W., Farah, I. R., Romdhani, I., & Hussain, A. (2021). Big data and IoT-based applications in smart environments: A systematic review. Computer Science Review, 39, Article 100318. https://doi.org/10.1016/j.cosrev.2020.100318
  • Hämäläinen, M., Mucchi, L., Girod-Genet, M., Paso, T., Farserotu, J., Tanaka, H., ... & Dallemagne, P. (2020). ETSI SmartBAN architecture: The global vision for smart body area networks. IEEE Access, 8, 150611-150625. https://doi.org/10.1109/ACCESS.2020.3016705
  • Hemingway P., & Brereton N. (2009). What is a systematic review?. What is…? Series (2nd ed.). Hayward Medical Communications.
  • Kitchenham, B. (2004). Procedures for performing systematic reviews. Keele, UK, 33(2004), 1-26.
  • Ko, D., & Choi, J. (2017). Forest lodge room navigation algorithm based on beacon. International Journal of Grid and Distributed Computing, 10(12), 1-10. https://doi.org/10.14257/ijgdc.2017.10.12.01
  • Leonidis, A., Korozi, M., Kouroumalis, V., Poutouris, E., Stefanidi, E., Arampatzis, D., ... & Antona, M. (2019). Ambient intelligence in the living room. Sensors, 19(22), Article 5011. https://doi.org/10.3390/s19225011
  • Lin, C. C., Liu, W. Y., & Lu, Y. W. (2019). Three-dimensional internet-of-things deployment with optimal management service benefits for smart tourism services in forest recreation parks. IEEE Access, 7, 182366-182380. https://doi.org/10.1109/ACCESS.2019.2960212
  • Lin, Y. C., & Chen, T. C. T. (2022). Type-II fuzzy approach with explainable artificial intelligence for nature-based leisure travel destination selection amid the COVID-19 pandemic. Digital Health, 8, 1-15. https://doi.org/10.1177/20552076221106322
  • Malik, P., Pathania, M., & Rathaur, V. K. (2019). Overview of artificial intelligence in medicine. Journal of Family Medicine and Primary Care, 8(7), 2328-2331. https://doi.org/10.4103/jfmpc.jfmpc_440_19
  • Marin, J., Blanco, T., & Marin, J. J. (2017). Octopus: A design methodology for motion capture wearables. Sensors, 17(8), 1875. https://doi.org/10.3390/s17081875
  • Miller, I. J., Stapelberg, M., Rosic, N., Hudson, J., Coxon, P., Furness, J., ... & Climstein, M. (2023). Implementation of artificial intelligence for the detection of cutaneous melanoma within a primary care setting: prevalence and types of skin cancer in outdoor enthusiasts. PeerJ, 11, e15737. https://doi.org/10.7717/peerj.15737
  • Moher, D., Liberati, A., Tetzlaff, J., Altman, D. G., & Prisma Group. (2010). Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. International Journal of Surgery, 8(5), 336-341. https://doi.org/10.1016/j.ijsu.2010.02.007
  • Ramesh A. N., Kambhampati C., Monson J. R., Drew P. J. (2004). Artificial intelligence in medicine. Annals of the Royal College of Surgeons of England, 86(5), 334-338. https://doi.org/10.1308/147870804290
  • Riboni, D. (2019). Opportunistic pervasive computing: adaptive context recognition and interfaces. CCF Transactions on Pervasive Computing and Interaction, 1(2), 125-139. https://doi.org/10.1007/s42486-018-00004-9
  • Sabbioni, A., Villano, T., & Corradi, A. (2022). An architecture for service integration to fully support novel personalized smart tourism offerings. Sensors, 22(4), 1619. https://doi.org/10.3390/s22041619
  • Sun, G. (2020). Symmetry analysis in analyzing cognitive and emotional attitudes for tourism consumers by applying artificial intelligence python technology. Symmetry, 12(4), Article 606. https://doi.org/10.3390/sym12040606
  • Sun, L., Jiang, X., Ren, H., & Guo, Y. (2020). Edge-cloud computing and artificial intelligence in internet of medical things: architecture, technology and application. IEEE Access, 8, 101079-101092. https://doi.org/10.1109/ACCESS.2020.2997831
  • Visvikis, D., Cheze Le Rest, C., Jaouen, V., & Hatt, M. (2019). Artificial intelligence, machine (deep) learning and radio (geno) mics: Definitions and nuclear medicine imaging applications. European Journal of Nuclear Medicine and Molecular Imaging, 46(13), 2630-2637. https://doi.org/10.1007/s00259-019-04373-w
  • Winder, S. G., Lee, H., Seo, B., Lia, E. H., & Wood, S. A. (2022). An open‐source image classifier for characterizing recreational activities across landscapes. People and Nature, 4(5), 1249-1262. https://doi.org/10.1002/pan3.10382
  • Xiao, Y., & Watson, M. (2019). Guidance on conducting a systematic literature review. Journal of Planning Education and Research, 39(1), 93-112. https://doi.org/10.1177/0739456X17723971
  • Zhou, R., & Wu, F. (2023). Inheritance and Innovation Development of Sports based on Deep Learning and Artificial Intelligence. IEEE Access, 11, 116511-116523. https://doi.org/10.1109/ACCESS.2023.3325670
  • Zhu, Y., & Liu, L. (2022). Difference between artificial intelligence of the internet of things and the traditional internet. In 2022 World Automation Congress (WAC) (pp. 287-291). IEEE. https://doi.org/10.23919/WAC55640.2022.9934002
Toplam 39 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Spor ve Rekreasyon
Bölüm Orijinal Makale
Yazarlar

Sinem Parlakyıldız 0000-0002-3961-8153

Sevim Kül Avan 0000-0003-3103-381X

Erken Görünüm Tarihi 26 Ekim 2024
Yayımlanma Tarihi 31 Ekim 2024
Gönderilme Tarihi 16 Temmuz 2024
Kabul Tarihi 25 Ağustos 2024
Yayımlandığı Sayı Yıl 2024 Cilt: 9 Sayı: 3

Kaynak Göster

APA Parlakyıldız, S., & Kül Avan, S. (2024). Artificial Intelligence and the Internet of Things in Recreation: A Systematic Literature Review. Spor Bilimleri Araştırmaları Dergisi, 9(3), 374-388. https://doi.org/10.25307/jssr.1516895
AMA Parlakyıldız S, Kül Avan S. Artificial Intelligence and the Internet of Things in Recreation: A Systematic Literature Review. JSSR. Ekim 2024;9(3):374-388. doi:10.25307/jssr.1516895
Chicago Parlakyıldız, Sinem, ve Sevim Kül Avan. “Artificial Intelligence and the Internet of Things in Recreation: A Systematic Literature Review”. Spor Bilimleri Araştırmaları Dergisi 9, sy. 3 (Ekim 2024): 374-88. https://doi.org/10.25307/jssr.1516895.
EndNote Parlakyıldız S, Kül Avan S (01 Ekim 2024) Artificial Intelligence and the Internet of Things in Recreation: A Systematic Literature Review. Spor Bilimleri Araştırmaları Dergisi 9 3 374–388.
IEEE S. Parlakyıldız ve S. Kül Avan, “Artificial Intelligence and the Internet of Things in Recreation: A Systematic Literature Review”, JSSR, c. 9, sy. 3, ss. 374–388, 2024, doi: 10.25307/jssr.1516895.
ISNAD Parlakyıldız, Sinem - Kül Avan, Sevim. “Artificial Intelligence and the Internet of Things in Recreation: A Systematic Literature Review”. Spor Bilimleri Araştırmaları Dergisi 9/3 (Ekim 2024), 374-388. https://doi.org/10.25307/jssr.1516895.
JAMA Parlakyıldız S, Kül Avan S. Artificial Intelligence and the Internet of Things in Recreation: A Systematic Literature Review. JSSR. 2024;9:374–388.
MLA Parlakyıldız, Sinem ve Sevim Kül Avan. “Artificial Intelligence and the Internet of Things in Recreation: A Systematic Literature Review”. Spor Bilimleri Araştırmaları Dergisi, c. 9, sy. 3, 2024, ss. 374-88, doi:10.25307/jssr.1516895.
Vancouver Parlakyıldız S, Kül Avan S. Artificial Intelligence and the Internet of Things in Recreation: A Systematic Literature Review. JSSR. 2024;9(3):374-88.

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