Browsing by Author "Jahan, Ishrat"
Now showing items 1-6 of 6
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Dialogue and Discourse
Jahan, Ishrat (The Daily Star, 2015-06-11) -
Exploring machine learning techniques for symptom-based detection of livestock diseases
Niloy, Mahir Ahmed; Bhowmik, Tanmay; Abedin, Jennifer; Ferdous, Syeda Jannatul; Jahan, Ishrat (Brac University, 2024-05)Effective livestock monitoring ensures food security and sustainability in our rapidly growing world. However, proper cattle disease is still not taken seriously in our country. Even in the livestock industry, it has not ... -
An efficient deep learning approach for detecting lung disease from chest X-ray images using transfer learning and ensemble modeling
Sagor, Mostofa Kamal; Jahan, Ishrat; Chowdhury, Susmita; Ansary, Rubayet (Brac University, 2021-01)Among the most convenient bacteriological assessments for the diagnosis and treatment with several health complications is the chest X-Ray. The World Health Organization (WHO) estimates, for instance, that pneumonic plague ... -
In-vitro antacid screening of methanolic leaf extracts of Elaeocarpus floribundus
Jahan, Ishrat (Brac University, 2020-02)Elaeocarpus floribundus is a sort of tropical and subtropical evergreen trees and shrubs. Elaeocarpaceae is a family which has very nearly 615 types of plants in 12 genera. Among them with roughly 350 species Elaeocarpus ... -
LRFMVD : a customer segmentation model
Sagor, Kawsar Mahmud; Sadhin, Masrur Arefin; Jahan, Ishrat; Prottay, Rezwanul Karim (Brac University, 2023-05)Customer segmentation is a big part of the superstore industry. Traditionally, the RFM model has been used to segment customers to maximize profit. This work proposes a new customer segmentation named LRFMVD based on ... -
Luminous measurement of LED lights in cost effective way
Halim, Abdul; Billah, Abdul Shakib; Jahan, Ishrat (BRAC University, 2014-08)This paper targets economic and sustainable methods of lumen testing of LED lights. Its resurgence being in a developing nation, like Bangladesh, it is necessary that such an expensive method, around the world, be brought ...