Dr. Kate Takyi

Lecturer


Dept: Computer Science
Aboagye Menyeh Complex
College of Science
FF13

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Research Areas/Interests

Machine Learning, Data Science Wireless Networks, Internet of Things, Network Communications,Network Communications, Network traffic Classification, N...~more

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Publications

     K. Takyi. B. Amandeep, P and Gupta. “Clustering Techniques for Traffic Classification: A Comprehensive Review.” IEEE 7th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) - ICRITO 2018, pp. 224-230, 2018

    K. Takyi and B. Amandeep, “An Improved Classification Model for Wide Area Networks with Low Speed Links International Journal of Innovative Technology and Exploring Engineering (IJITEE), Vol. 8, No 8S3, pp.165-174, 2019

    K. Takyi and B. Amandeep. “A Semi-Supervised QOS-Aware Classification Approach for Wide Area Networks with Limited Resources.” International Journal of Innovative Technology and Exploring Engineering (IJITEE), Vol. 8, No.11, pp. 970-981, 2019

    K. Takyi and B. Amandeep, “Real-Time Application Clustering in Wide area Networks” Journal of Computers and Electrical Engineering, Vol 85, 2020

    M.K Dubey S.M. Yaseen, K. Takyi, S. Vashisht, S. Gupta “A Method and System for Improving Wireless Sensor Network Using Fault Mitigation Technology” Australian Official Journal of Patents, No. 2020102837, 2020

    A. K. Sharma, K. Upreti, R. S. Sidhu, P. Agrawal, S. Herur, N. B. Madhusudan, K. Gulati, N. K. Bhasin, R. Tewari, M. V. Sonth, B. M. Mahendra, V. Kalpana, B. Venkaiahppalaswamy, S. M. Yaseen, K. Takyi, and K. R. Pravin. “A System for Detection OF Corona Virus in Human Body Using Artificial Intelligence”, Australian Official Journal of Patents, No. 2020102228, 2020.

     


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