Zobrazeno 1 - 10
of 91
pro vyhledávání: '"Md. Arafatur Rahman"'
Autor:
Md. Arafatur Rahman, Sze Wei Tan, A. Taufiq Asyhari, Ibnu Febry Kurniawan, Mohammed J. F. Alenazi, Mueen Uddin
Publikováno v:
IEEE Access, Vol 12, Pp 82693-82705 (2024)
Waste management has been identified as a critical problem underpinning the vision of sustainable cities. Despite existing efforts to tackle this challenge, traditional approaches still undermine resource allocation and utilization for the task. Most
Externí odkaz:
https://doaj.org/article/6c1007ec01264bc8a55dab463d6f1a4d
Autor:
Jalal Uddin Md Akbar, Syafiq Fauzi Kamarulzaman, Abu Jafar Md Muzahid, Md. Arafatur Rahman, Mueen Uddin
Publikováno v:
IEEE Access, Vol 12, Pp 4485-4522 (2024)
With the escalating global challenges of food security and resource sustainability, innovative solutions like deep learning and computer vision are transforming agricultural practices by enabling data-driven decision-making. This paper provides a foc
Externí odkaz:
https://doaj.org/article/a967f71976e0468b8d83cdd439deded6
Publikováno v:
IEEE Access, Vol 10, Pp 43303-43319 (2022)
Vehicle control in autonomous traffic flow is often handled using the best decision-making reinforcement learning methods. However, unexpected critical situations make the collisions more severe and, consequently, the chain collisions. In this work,
Externí odkaz:
https://doaj.org/article/11602416e0804db7819e54f8015cd8ea
Autor:
Md. Shohidul Islam, Mohamed Ariff Bin Ameedeen, Md. Arafatur Rahman, Husnul Ajra, Zahian Binti Ismail
Publikováno v:
Computers, Vol 12, Iss 2, p 46 (2023)
The pervasiveness of healthcare data to create better healthcare facilities and opportunities is one of the most-imperative parts of human life that offers radical advancements in healthcare services practiced through the blockchain-based management,
Externí odkaz:
https://doaj.org/article/cd7970b56e93448a95fb54213ec0d8d1
Publikováno v:
IEEE Access, Vol 8, Pp 67835-67867 (2020)
The concept of Cognitive Radio (CR) has emerged as a practical solution to solve the issue of the fixed spectrum and bandwidth scarcity in wireless communication. However, the nature of dynamic Mobile Cognitive Radio Networks (MCRNs) drives to the em
Externí odkaz:
https://doaj.org/article/75611ca82894414c9e5d6aaa42448d19
Publikováno v:
IEEE Access, Vol 8, Pp 14265-14277 (2020)
In this paper, a vehicle type classification approach is proposed by using an enhanced feature extraction technique based on Sparse-Filtered Convolutional Neural Network with Layer-Skipping strategy (SF-CNNLS). To extract rich and discriminant vehicl
Externí odkaz:
https://doaj.org/article/75186ea6984743f4ac655243832fd759
Autor:
Nadia Refat, Md. Arafatur Rahman, A. Taufiq Asyhari, Hafizoah Kassim, Ibnu Febry Kurniawan, Mahbubur Rahman
Publikováno v:
IEEE Access, Vol 8, Pp 66074-66084 (2020)
The proliferation of modern mobile technologies on grammar learning (i.e., m-grammar learning) has generated a multitude of challenges in developing effective pedagogically-informed learning tools. The existing systems have mostly suffered from low m
Externí odkaz:
https://doaj.org/article/29220d80513e4a7d9360560027099ce3
Autor:
Nadia Refat, Md. Arafatur Rahman, A. Taufiq Asyhari, Ibnu Febry Kurniawan, Md. Zakirul Alam Bhuiyan, Hafizoah Kassim
Publikováno v:
IEEE Access, Vol 7, Pp 64545-64557 (2019)
The widespread adoption of technology-enhanced learning in various knowledge disciplines has pushed forward the development of information technology-assisted media for language learning and teaching. However, most of the existing electronic-learning
Externí odkaz:
https://doaj.org/article/dbfad315771b4e818bd6f0dcfc69876d
Publikováno v:
IEEE Access, Vol 7, Pp 75318-75329 (2019)
Recent years online social networks (OSNs) have become an essential digital platform in the daily life of billions of earth inhabitants. Despite the advantages of easy communication and information sharing, OSNs users often fell in trouble causing by
Externí odkaz:
https://doaj.org/article/7df6a855d9af4f369ee5911c46df81c3
Autor:
Md. Arafatur Rahman, A. Taufiq Asyhari, Saiful Azad, Md. Munirul Hasan, Cindy P. C. Munaiseche, Made Krisnanda
Publikováno v:
IEEE Access, Vol 7, Pp 100318-100331 (2019)
A crucial problem in post-flood recovery actions is the ability to rapidly establish communication and collaboration among rescuers to conduct timely and effective search and rescue (SAR) mission given disrupted telecommunication infrastructure to su
Externí odkaz:
https://doaj.org/article/9b589e7da16f4af89445cc0ace247ff5