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Research on cognitive computing model based on machine learning algorithm in artificial intelligence environment

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Oct 04, 2024

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Fouad, K. M., & El-Bably, D. L. (2020). Intelligent approach for large-scale data mining. International Journal of Computer Applications in Technology, 63(1-2), 93-113. Search in Google Scholar

Aghav-Palwe, S., & Gunjal, A. (2021). Introduction to cognitive computing and its various applications. In Cognitive computing for human-robot interaction (pp. 1-18). Academic Press. Search in Google Scholar

Megha, C. R., Madhura, A., & Sneha, Y. S. (2017, August). Cognitive computing and its applications. In 2017 International Conference on Energy, Communication, Data Analytics and Soft Computing (ICECDS) (pp. 1168-1172). IEEE. Search in Google Scholar

Gupta, S., Kar, A. K., Baabdullah, A., & Al-Khowaiter, W. A. (2018). Big data with cognitive computing: A review for the future. International Journal of Information Management, 42, 78-89. Search in Google Scholar

Mi, Y., Wang, Z., Liu, H., Qu, Y., Yu, G., & Shi, Y. (2023). Divide and conquer: A granular concept-cognitive computing system for dynamic classification decision making. European Journal of Operational Research, 308(1), 255-273. Search in Google Scholar

Sangaiah, A. K., Thangavelu, A., & Sundaram, V. M. (2018). Cognitive computing for big data systems over IoT. Gewerbestrasse, 11, 6330. Search in Google Scholar

Chen, M., Herrera, F., & Hwang, K. (2018). Cognitive computing: architecture, technologies and intelligent applications. Ieee Access, 6, 19774-19783. Search in Google Scholar

Cheng, Y., Zhang, X., Wang, X., Zhao, H., Yu, Y., Wang, X., & de Pablos, P. O. (2021). Rethinking the development of technology-enhanced learning and the role of cognitive computing. International Journal on Semantic Web and Information Systems (IJSWIS), 17(1), 67-96. Search in Google Scholar

Lv, Z., & Qiao, L. (2020). Deep belief network and linear perceptron based cognitive computing for collaborative robots. Applied Soft Computing, 92, 106300. Search in Google Scholar

Kashyap, P. (2017). Machine learning for decision makers: Cognitive computing fundamentals for better decision making (pp. 227-228). Bangalore, India: Apress. Search in Google Scholar

Bonaccorso, G. (2018). Machine Learning Algorithms: Popular algorithms for data science and machine learning. Packt Publishing Ltd. Search in Google Scholar

Mirjalili, S., Faris, H., & Aljarah, I. (2019). Evolutionary machine learning techniques. Cham, Switzerland: Springer. Search in Google Scholar

Hiran, K. K., Jain, R. K., Lakhwani, K., & Doshi, R. (2021). Machine Learning: Master Supervised and Unsupervised Learning Algorithms with Real Examples (English Edition). BPB Publications. Search in Google Scholar

Glavan, A. F., & Marian, C. V. (2020, June). Cognitive edge computing through artificial Intelligence. In 2020 13th International Conference on Communications (COMM) (pp. 285-290). IEEE. Search in Google Scholar

Wu, F., Liu, X., & Wang, Y. (2022). Effect of artificial intelligence auxiliary equipment in the process of cognitive learning. Neural Computing and Applications, 34(15), 12453-12466. Search in Google Scholar

Tyagi, A. K., & Chahal, P. (2020). Artificial intelligence and machine learning algorithms. In Challenges and applications for implementing machine learning in computer vision (pp. 188-219). IGI Global. Search in Google Scholar

Mahesh, B. (2020). Machine learning algorithms-a review. International Journal of Science and Research (IJSR).[Internet], 9(1), 381-386. Search in Google Scholar

Sengan, S., Sagar, R. V., Ramesh, R., Khalaf, O. I., & Dhanapal, R. (2021). The optimization of reconfigured real-time datasets for improving classification performance of machine learning algorithms. Mathematics in Engineering, Science & Aerospace (MESA), 12(1). Search in Google Scholar

Chen, H., Chen, J., & Ding, J. (2021). Data evaluation and enhancement for quality improvement of machine learning. IEEE Transactions on Reliability, 70(2), 831-847. Search in Google Scholar

Gudivada, V. N., Pankanti, S., Seetharaman, G., & Zhang, Y. (2019). Cognitive computing systems: Their potential and the future. Computer, 52(5), 13-18. Search in Google Scholar

Hasan, I., & Rizvi, S. (2021, March). Review of AI Techniques and Cognitive Computing Framework for Intelligent Decision Support. In 2021 8th International Conference on Computing for Sustainable Global Development (INDIACom) (pp. 891-898). IEEE. Search in Google Scholar

Lv, Z., Qiao, L., & Singh, A. K. (2020). Advanced machine learning on cognitive computing for human behavior analysis. IEEE Transactions on Computational Social Systems, 8(5), 1194-1202. Search in Google Scholar

Liu Wenhong. (2022). Cognitive Computing Model Based on Machine Learning Algorithm in Artificial Intelligence Environment. Security and Communication Networks. Search in Google Scholar

Lakshwin Shreesha & Michael Levin. (2024). Stress sharing as cognitive glue for collective intelligences: A computational model of stress as a coordinator for morphogenesis. Biochemical and biophysical research communications150396. Search in Google Scholar

Saskia Heijnen,Jan Sleutels & Roy de Kleijn. (2024). Model Virtues in Computational Cognitive Neuroscience. Journal of cognitive neuroscience(8),11-12. Search in Google Scholar

Jin Hu. (2022). Retraction Note: Data processing model and performance analysis of cognitive computing based on machine learning in Internet environment. Soft Computing(1),619-619. Search in Google Scholar

Chen Xiaotian. (2023). Explore the role and emphasis of K-Means, Decision Tree and Distance Based algorithms in data exception detection. Journal of Physics: Conference Series(1). Search in Google Scholar

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