Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Md. Eusha Kadir"'
Autor:
Md. Mumtahin Habib Ullah Mazumder, Md. Eusha Kadir, Sadia Sharmin, Md. Shariful Islam, Muhammad Mahbub Alam
Publikováno v:
International Journal of Information Security.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3765af3fd124196d7f4883193ca6d258
https://doi.org/10.1007/s10207-023-00694-y
https://doi.org/10.1007/s10207-023-00694-y
Autor:
Md. Hasan Tarek, Md. Eusha Kadir, Sadia Sharmin, Abu Ashfaqur Sajib, Amin Ahsan Ali, Mohammad Shoyaib
Publikováno v:
2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::60067546b58615740f2b60adc314c82e
https://doi.org/10.1109/icmla52953.2021.00087
https://doi.org/10.1109/icmla52953.2021.00087
Autor:
Mahir Mahbub, Pritom Saha Akash, Amin Ahsan Ali, Md. Hasan Tarek, Mohammad Shoyaib, Md. Eusha Kadir
Publikováno v:
2020 Joint 9th International Conference on Informatics, Electronics & Vision (ICIEV) and 2020 4th International Conference on Imaging, Vision & Pattern Recognition (icIVPR).
Human activity recognition is a challenging task as performing the activities varies from person to person. For the last few years, many complex methods have been proposed to identify human activities from sensor readings. To date, several studies ha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b8792b159bb8d81948721cd6b505e3d9
https://doi.org/10.1109/icievicivpr48672.2020.9306645
https://doi.org/10.1109/icievicivpr48672.2020.9306645
Publikováno v:
IJCAI
This paper introduces a new splitting criterion called Inter-node Hellinger Distance (iHD) and a weighted version of it (iHDw) for constructing decision trees. iHD measures the distance between the parent and each of the child nodes in a split using
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::65a28b6e79d65650e29bd78b1e408534
https://doi.org/10.24963/ijcai.2019/272
https://doi.org/10.24963/ijcai.2019/272
Publikováno v:
2019 1st International Conference on Advances in Science, Engineering and Robotics Technology (ICASERT).
Support Vector Machine (SVM) is one of the most popular supervised learning methods for its better performances over diversified applications. SVM constructs a maximum-margin hyperplane and predicts the class of a new incoming data point based on tha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f586a496172d685bac07a0666913284a
https://doi.org/10.1109/icasert.2019.8934772
https://doi.org/10.1109/icasert.2019.8934772
Publikováno v:
2019 International Conference on Robotics,Electrical and Signal Processing Techniques (ICREST).
Random forest is one of the most popular supervised learning methods which is a collection of multiple decision trees. It is computationally fast, easy to use and gives reasonable performances over diversified applications. In a random forest, outcom
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a3589ea7fc96a135f79179478fe5f8b3
https://doi.org/10.1109/icrest.2019.8644396
https://doi.org/10.1109/icrest.2019.8644396
Conference
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Conference
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