Zobrazeno 1 - 10
of 114
pro vyhledávání: '"Ali Akber Dewan"'
Autor:
Md. Fazlul Karim Khondakar, Md. Hasib Sarowar, Mehdi Hasan Chowdhury, Sumit Majumder, Md. Azad Hossain, M. Ali Akber Dewan, Quazi Delwar Hossain
Publikováno v:
Brain Informatics, Vol 11, Iss 1, Pp 1-25 (2024)
Abstract Neuromarketing is an emerging research field that aims to understand consumers’ decision-making processes when choosing which product to buy. This information is highly sought after by businesses looking to improve their marketing strategi
Externí odkaz:
https://doaj.org/article/01965571a68e4231a2f214fbc7a24d5f
Publikováno v:
Heliyon, Vol 10, Iss 17, Pp e36272- (2024)
Image captioning, the process of generating natural language descriptions based on image content, has garnered attention in AI research for its implications in scene understanding and human-computer interaction. While much prior research has focused
Externí odkaz:
https://doaj.org/article/00396d46f6044518bb1b43e908280e93
Publikováno v:
In Heliyon 15 September 2024 10(17)
Autor:
Trishita Ghosh Troyee, Mehdi Hasan Chowdhury, Md. Fazlul Karim Khondakar, Mahmudul Hasan, Md. Azad Hossain, Quazi Delwar Hossain, M. Ali Akber Dewan
Publikováno v:
IEEE Access, Vol 12, Pp 145417-145427 (2024)
Electroencephalogram (EEG) is the graphical representation of Brain’s electrical activity. Mental stress can be detected in many ways and EEG is one of them. Regular mental stress gives rise to many mental disorders and it may cause various physiol
Externí odkaz:
https://doaj.org/article/2ae1edb142dd4acf80835f10d71f4bb5
Publikováno v:
IEEE Access, Vol 12, Pp 117617-117626 (2024)
Recently, the transformer-based model e.g., the vision transformer (ViT) has been extensively used in computer vision tasks. The superior performance of the ViT leads to the requirement of an enormous dataset and the complexity of calculating self-at
Externí odkaz:
https://doaj.org/article/4420c4d68fc247fab9e8cf7b3f63a02c
Publikováno v:
IEEE Access, Vol 12, Pp 31287-31311 (2024)
Blockchain is a ground-breaking technology that has changed how we manage and store protected data. It is a decentralized ledger that enables safe, open, and unchangeable record-keeping. It relies on a distributed network of nodes rather than a singl
Externí odkaz:
https://doaj.org/article/14ec785323e74762b5a6c1a8129e09e9
Publikováno v:
Sensors, Vol 24, Iss 18, p 5862 (2024)
Multimodal emotion classification (MEC) involves analyzing and identifying human emotions by integrating data from multiple sources, such as audio, video, and text. This approach leverages the complementary strengths of each modality to enhance the a
Externí odkaz:
https://doaj.org/article/e3c32daa8986439288dd8bff846af1c1
Publikováno v:
Information, Vol 15, Iss 9, p 560 (2024)
Brain tumor detection and categorization of its subtypes are essential for early diagnosis and improving patient outcomes. This research presents a cutting-edge approach that employs advanced data augmentation and deep learning methodologies for brai
Externí odkaz:
https://doaj.org/article/6d837006a37747cd84bb27d04de278e8
Autor:
Sakib Uddin Tapu, Samira Afrin Alam Shopnil, Rabeya Bosri Tamanna, M. Ali Akber Dewan, Md. Golam Rabiul Alam
Publikováno v:
IEEE Access, Vol 11, Pp 140609-140625 (2023)
Advancements in wireless network technology have provided a powerful tool to boost productivity and serve as a vital communication method that overcomes the limitations of wired networks. However, because of using wireless networks, security is an in
Externí odkaz:
https://doaj.org/article/1bf6c41be78d4a6982b7ff6b0fb06c29
Autor:
Barna Ghosh, Khaleda Akhter Sathi, Md. Kamal Hosain, Md. Azad Hossain, M. Ali Akber Dewan, Abbas Z. Kouzani
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 31, Pp 4713-4724 (2023)
Transcranial magnetic stimulation is an electromagnetic induction-based non-invasive therapeutic technique for neurological diseases. For finding new clinical applications and enhancing the efficacy of TMS in existing neurological disorders, the curr
Externí odkaz:
https://doaj.org/article/b8e5b253302043e9b3aab71097cf2ed8