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Artificial Intelligence and Cognitive Computing: Methods, Technologies, Systems, Applications and Policy Making

Author

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  • Miltiadis D. Lytras

    (Effat College of Engineering, Effat University, Jeddah P.O. Box 34689, Saudi Arabia
    King Abdulaziz University, Jeddah 21589, Saudi Arabia)

  • Anna Visvizi

    (Effat College of Business, Effat University, Jeddah P.O. Box 34689, Saudi Arabia
    SGH Warsaw School of Economics, Al. Niepodległości 162, 02-554 Warsaw, Poland)

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Suggested Citation

  • Miltiadis D. Lytras & Anna Visvizi, 2021. "Artificial Intelligence and Cognitive Computing: Methods, Technologies, Systems, Applications and Policy Making," Sustainability, MDPI, vol. 13(7), pages 1-3, March.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:7:p:3598-:d:523022
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    References listed on IDEAS

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    1. Yanfang Zhang & Mushang Lee, 2019. "A Hybrid Model for Addressing the Relationship between Financial Performance and Sustainable Development," Sustainability, MDPI, vol. 11(10), pages 1-15, May.
    2. Amjed Hassan & Salaheldin Elkatatny & Abdulazeez Abdulraheem, 2019. "Application of Artificial Intelligence Techniques to Predict the Well Productivity of Fishbone Wells," Sustainability, MDPI, vol. 11(21), pages 1-14, November.
    3. Ahmed Abdulhamid Mahmoud & Salaheldin Elkatatny & Dhafer Al Shehri, 2020. "Application of Machine Learning in Evaluation of the Static Young’s Modulus for Sandstone Formations," Sustainability, MDPI, vol. 12(5), pages 1-16, March.
    4. Ahmed Abdulhamid Mahmoud & Salaheldin Elkatatny & Abdulwahab Z. Ali & Mohamed Abouelresh & Abdulazeez Abdulraheem, 2019. "Evaluation of the Total Organic Carbon (TOC) Using Different Artificial Intelligence Techniques," Sustainability, MDPI, vol. 11(20), pages 1-15, October.
    5. Tao Han & Seyed Mostafa Bozorgi & Ayda Valinezhad Orang & Ali Asghar Rahmani Hosseinabadi & Arun Kumar Sangaiah & Mu-Yen Chen, 2019. "A Hybrid Unequal Clustering Based on Density with Energy Conservation in Wireless Nodes," Sustainability, MDPI, vol. 11(3), pages 1-26, January.
    6. Recep Sinan Arslan & Necaattin Barışçı, 2019. "Development of Output Correction Methodology for Long Short Term Memory-Based Speech Recognition," Sustainability, MDPI, vol. 11(15), pages 1-16, August.
    7. Ahmed Gowida & Tamer Moussa & Salaheldin Elkatatny & Abdulwahab Ali, 2019. "A Hybrid Artificial Intelligence Model to Predict the Elastic Behavior of Sandstone Rocks," Sustainability, MDPI, vol. 11(19), pages 1-22, September.
    8. Wenbing Chang & Xinglong Yuan & Yalong Wu & Shenghan Zhou & Jingsong Lei & Yiyong Xiao, 2019. "Decision-Making Method based on Mixed Integer Linear Programming and Rough Set: A Case Study of Diesel Engine Quality and Assembly Clearance Data," Sustainability, MDPI, vol. 11(3), pages 1-21, January.
    9. Salaheldin Elkatatny, 2019. "Real-Time Prediction of the Rheological Properties of Water-Based Drill-In Fluid Using Artificial Neural Networks," Sustainability, MDPI, vol. 11(18), pages 1-18, September.
    10. Jie Gao & Xinping Huang & Lili Zhang, 2019. "Comparative Analysis between International Research Hotspots and National-Level Policy Keywords on Artificial Intelligence in China from 2009 to 2018," Sustainability, MDPI, vol. 11(23), pages 1-18, November.
    11. Alessandro Crivellari & Euro Beinat, 2020. "LSTM-Based Deep Learning Model for Predicting Individual Mobility Traces of Short-Term Foreign Tourists," Sustainability, MDPI, vol. 12(1), pages 1-18, January.
    12. Huijie Zhang & Ke Ren & Yiming Lin & Dezhan Qu & Zhenxin Li, 2019. "AirInsight: Visual Exploration and Interpretation of Latent Patterns and Anomalies in Air Quality Data," Sustainability, MDPI, vol. 11(10), pages 1-28, May.
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    Cited by:

    1. Lily Popova Zhuhadar & Miltiadis D. Lytras, 2023. "The Application of AutoML Techniques in Diabetes Diagnosis: Current Approaches, Performance, and Future Directions," Sustainability, MDPI, vol. 15(18), pages 1-24, September.
    2. Justyna Łapińska & Iwona Escher & Joanna Górka & Agata Sudolska & Paweł Brzustewicz, 2021. "Employees’ Trust in Artificial Intelligence in Companies: The Case of Energy and Chemical Industries in Poland," Energies, MDPI, vol. 14(7), pages 1-20, April.

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