Zobrazeno 1 - 10
of 78
pro vyhledávání: '"Md. Asadur Rahman"'
Autor:
Md. Mehedi Alam, Niels O. G. Jørgensen, David Bass, Morena Santi, Max Nielsen, Md. Asadur Rahman, Neaz A. Hasan, Alif Layla Bablee, Abul Bashar, Md. Ismail Hossain, Lars Hestbjerg Hansen, Mohammad Mahfujul Haque
Publikováno v:
Frontiers in Sustainable Food Systems, Vol 8 (2024)
Farmed freshwater prawn (Macrobrachium rosenbergii) and black tiger shrimp (Penaeus monodon) comprise a significant portion of Bangladesh’s seafood exports, raising concerns about their environmental impacts. Freshwater prawn farms, which require a
Externí odkaz:
https://doaj.org/article/d6b0d120c0764823a638b8d9579d01d9
Autor:
Kishor Kumar Tikadar, Md. Jahurul Islam, Sourav Mohan Saha, Md. Mehedi Alam, Sanzib Kumar Barman, Md. Asadur Rahman
Publikováno v:
Geography and Sustainability, Vol 3, Iss 3, Pp 204-213 (2022)
The small-scale fishermen in the north-eastern floodplains are one of the most vulnerable communities of Bangladesh due to their limited income. This study assessed their livelihood status using a sustainable livelihood framework and employed a multi
Externí odkaz:
https://doaj.org/article/f1d3848234a64f5eb8ca7c390930514f
Autor:
MD. ASADUR RAHMAN, MD. MONIRUL ISLAM, APARNA BARMAN, SALMA KHATUN, KAZI RUMAIYA BINTA MONIR, MD. RAKIBUL ISLAM, MAKIDUL ISLAM KHAN
Publikováno v:
Asian Fisheries Science, Vol 36, Iss 1 (2023)
The coronavirus disease (COVID-19) adversely impacted the fisheries sector of Bangladesh, particularly affecting the outcomes for women workers of the fish and shellfish processing plants (FSPPs). This study aimed to assess the impacts of COVID-19 on
Externí odkaz:
https://doaj.org/article/15b0c38c9ac54f748bb96331c134f084
Autor:
Mohammad Tareq Alam, Md. Ashrafuzzaman, Nazmir Nur Showva, Mansura Ahmed, Faruq Ahmed Jewel, Md. Asadur Rahman
Publikováno v:
SciMedicine Journal, Vol 3, Iss 0, Pp 24-35 (2021)
Objectives: This research attempts to figure out a comparative pattern of the social response from the peoples of Bangladesh as well as different communities and regarding actions taken by the government during the COVID-19 pandemic in Bangladesh. El
Externí odkaz:
https://doaj.org/article/dd107a8f68d44b26895a9efac3ec4233
Publikováno v:
Brain Informatics, Vol 7, Iss 1, Pp 1-11 (2020)
Abstract This paper proposes a novel feature selection method utilizing Rényi min-entropy-based algorithm for achieving a highly efficient brain–computer interface (BCI). Usually, wavelet packet transformation (WPT) is extensively used for feature
Externí odkaz:
https://doaj.org/article/c4f7aee3b5694139abbdc2a838454861
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
Publikováno v:
IEEE Access, Vol 8, Pp 218215-218233 (2020)
The trends in movement-related functional activity measurement for brain-computer interface (BCI) are mostly associated with the central lobe of the brain. This consideration may be a faulty approach for the paralyzed patient. This limitation demands
Externí odkaz:
https://doaj.org/article/b179827414bb43ffb28316844bf92143
Autor:
Sakib Abrar Hossain, Md. Asadur Rahman, Amitabha Chakrabarty, Mohd Abdur Rashid, Anna Kuwana, Haruo Kobayashi
Publikováno v:
Bioengineering, Vol 10, Iss 1, p 99 (2023)
Electroencephalogram (EEG)-based emotion recognition is a computationally challenging issue in the field of medical data science that has interesting applications in cognitive state disclosure. Generally, EEG signals are classified from frequency-bas
Externí odkaz:
https://doaj.org/article/b676442844ff4c579b73d2d53212cb83
Autor:
Md. Asadur Rahman, Anika Anjum, Md. Mahmudul Haque Milu, Farzana Khanam, Mohammad Shorif Uddin, Md. Nurunnabi Mollah
Publikováno v:
Array, Vol 11, Iss , Pp 100072- (2021)
Emotion recognition, a challenging computational issue, finds interesting applications in diverse fields. Usually, feature-based machine-learning methods have been used for emotion recognition. However, these conventional shallow machine learning met
Externí odkaz:
https://doaj.org/article/fad2f67e65c6435fb83eac94536af900
Publikováno v:
Array, Vol 10, Iss , Pp 100063- (2021)
Automatic license plate recognition (ALPR) is a widely used system in developed countries to track and classify vehicles. Contrariwise, least developed countries such as Bangladesh are having issues like rotated, slightly faded license plates. Additi
Externí odkaz:
https://doaj.org/article/14977233309b480a9ec7c8be581accda