Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Rasel Ahmmed"'
Publikováno v:
Egyptian Informatics Journal, Vol 21, Iss 1, Pp 23-35 (2020)
To achieve a highly efficient brain-computer interface (BCI) system regarding emotion recognition from electroencephalogram (EEG) signal, the most crucial issues are feature extractions and classifier selection. This work proposes an innovative metho
Externí odkaz:
https://doaj.org/article/ee2785b1cb3045789627b423a8e96940
Design and numerical analysis of a dispersion-flattened fabrication-friendly PCF-based THz waveguide
Autor:
Farjana Imam, Sandipa Biswas, Md. Shahjahan, Halima Khatun, Rasel Ahmmed, Abdullah Al-Mamun Bulbul
Publikováno v:
Journal of Optics. 51:371-378
Publikováno v:
Egyptian Informatics Journal, Vol 21, Iss 1, Pp 23-35 (2020)
To achieve a highly efficient brain-computer interface (BCI) system regarding emotion recognition from electroencephalogram (EEG) signal, the most crucial issues are feature extractions and classifier selection. This work proposes an innovative metho
Publikováno v:
Advances in Science, Technology and Engineering Systems, Vol 3, Iss 4, Pp 295-307 (2018)
The increasing demand for advanced services in wireless networks raises the problem for quality of service (QoS) provisioning with proper resource management. In this research work, such a provisioning technique for wireless networks is performed by
Publikováno v:
Advances in Science, Technology and Engineering Systems, Vol 3, Iss 2, Pp 40-48 (2018)
Brain tumor is such an abnormality of brain tissue that causes brain hemorrhage. Therefore, apposite detections of brain tumor, its size, and position are the foremost condition for the remedy. To obtain better performance in brain tumor and its stag
Publikováno v:
2019 International Conference on Electrical, Computer and Communication Engineering (ECCE).
The analysis of health-specific parameters and IoT based health monitoring system become a very challenging research scope to merge them with big data handling capability. This paper proposes an idea describing the possible ways to monitor and analyz
Publikováno v:
2017 3rd International Conference on Electrical Information and Communication Technology (EICT).
Early tumor detection is a vital issue and tumor position, tumor area, and tumor categories evaluation are also mandatory concerns for the proper medication. This paper proposes fuzzy logic based tumor classification method which can identify the tum
Publikováno v:
2017 International Conference on Electrical, Computer and Communication Engineering (ECCE).
Cell is the smallest unit of tissues, whose abnormal growth causes tumor in Brain. Support Vector Machine (SVM) and Artificial Neural Network (ANN) based tumor and its stages classification in brain MRI images is presented in this research work. This
Autor:
Md. Foisal Hossain, Rasel Ahmmed
Publikováno v:
2016 International Conference on Computer Communication and Informatics (ICCCI).
This paper presents a robust segmentation method which is the integration of Template based K-means and modified Fuzzy C-means (TKFCM) clustering algorithm that, reduces operators and equipment error. In this method, the template is selected based on