Zobrazeno 1 - 10 of 18 pro vyhledávání: '"Mst. Jannatul Ferdous"'
1
Akademický článek
Fish and Shellfish Diversity of Malam Beel, Bangladesh: Status, Trends, and Management Strategies
Autor: Md. Samsul Alam, Mohd Golam Quader Khan, Debasısh Pandıt, Rasel Mia, Mst. Armina Sultana, Mst. Jannatul Ferdous
Publikováno v: Aquatic Sciences and Engineering, Vol 38, Iss 4, Pp 212-221 (2023)
Most of the waterbodies in Bangladesh's north-eastern haor basin have seen a gradual decline in their biodiversity, but little study has been done to determine their current condition. To address this issue, this research was conducted in the Malam b
Externí odkaz: https://doaj.org/article/c8768b0e1c99490da2cb8b98857d46d7
Zobrazit plný text záznamu
2
Akademický článek
Improving Motor Imagery EEG Signals Classification Accuracy with CSP by Available Machine Learning Approach
Autor: Umme Farhana, Mst Jannatul Ferdous
Publikováno v: Journal of Engineering Science, Vol 12, Iss 2, Pp 67-77 (2021)
In brain computer interface (BCI) systems, the electroencephalography (EEG) signals give a pathway to a motor disabled person to communicate outside using the brain signal and a computer. EEG signals of different motor imagery (MI) movements can be d
Externí odkaz: https://doaj.org/article/184b3e1feb6b43968f8c24974d694e65
Zobrazit plný text záznamu
4
Improving Motor Imagery EEG Signals Classification Accuracy with CSP by Available Machine Learning Approach
Autor: Mst Jannatul Ferdous, Umme Farhana
Publikováno v: Journal of Engineering Science, Vol 12, Iss 2, Pp 67-77 (2021)
In brain computer interface (BCI) systems, the electroencephalography (EEG) signals give a pathway to a motor disabled person to communicate outside using the brain signal and a computer. EEG signals of different motor imagery (MI) movements can be d
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::50b0530f322407ba625ae392ff53b290
https://doi.org/10.3329/jes.v12i2.54632
Zobrazit plný text záznamu
5
Sub-band selection approach to artifact suppression from electroencephalography signal using hybrid wavelet transform
Autor: Md. Ekramul Hamid, Md. Khademul Islam Molla, Md. Sujan Ali, Mst. Jannatul Ferdous
Publikováno v: International Journal of Advanced Robotic Systems, Vol 18 (2021)
This article presents a hybrid wavelet-based algorithm to suppress the ocular artifacts from electroencephalography (EEG) signals. The hybrid wavelet transform (HWT) method is designed by the combination of discrete wavelet decomposition and wavelet
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1ed2444031b9599489878f74a461c1a4
https://doaj.org/article/b4fa9c6bd59c49d9aee289601ae83fb8
Zobrazit plný text záznamu
6
Assortment of Bangladeshi E-commerce Site Reviews using Machine Learning Approaches
Autor: Mst. Jannatul Ferdous, Nakib Aman Turzo, Pritom Sarker
Publikováno v: 2020 2nd International Conference on Sustainable Technologies for Industry 4.0 (STI).
In Bangladesh, E-commerce is flourishing day by day, especially in crisis, the world is facing. There are many platforms available on these sites among which Daraz is the most successful marketplace. This online platform allowed people to do shopping
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::0d36797191ed4620195c6e466da46a05
https://doi.org/10.1109/sti50764.2020.9350526
Zobrazit plný text záznamu
7
Iris-Pupil Thickness based Biometric Approach for Determining Age Group using Linear SVM
Autor: Mst. Jannatul Ferdous, Nakib Aman Turzo, Pritom Sarker
Publikováno v: 2020 2nd International Conference on Advanced Information and Communication Technology (ICAICT).
Age group prediction using the ratio of iris-pupil has become a new concept. As every human iris has some individual properties. But for a similar age group such as young or adult has nearly a common range of iris-pupil ratio. By using this potential
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f6364472395f5bc283e2780957e665b6
https://doi.org/10.1109/icaict51780.2020.9333516
Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání

Omezení vyhledávání
Plný text Recenzováno Digitální knihovna AV ČR
Zdroje