Zobrazeno 1 - 10
of 182
pro vyhledávání: '"Nazmul Siddique"'
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:
Heliyon, Vol 9, Iss 11, Pp e22203- (2023)
This paper presents a transfer and deep learning based approach to the classification of Sickle Cell Disease (SCD). Five transfer learning models such as ResNet-50, AlexNet, MobileNet, VGG-16 and VGG-19, and a sequential convolutional neural network
Externí odkaz:
https://doaj.org/article/33b03351169b4d6fb31512c4256375e8
Autor:
Rahat Hossain Faisal, Sajal Debnath, Md. Minhaj Ul Islam, Silvia Sifath, Salma Akter Kakon, Md. Shafiul Alam, Nazmul Siddique
Publikováno v:
Healthcare Analytics, Vol 3, Iss , Pp 100139- (2023)
This study presents a modular Fuzzy Expert System (FES) for chemotherapy drug dose scheduling. The computational model considers the patient’s Body Surface Area (BSA) and experts’ opinions to calculate chemo doses following the clinical practice.
Externí odkaz:
https://doaj.org/article/1ecbaa73cefc4e23a71bf6c46d7e1cc2
Publikováno v:
IEEE Access, Vol 11, Pp 109803-109818 (2023)
Textual emotion classification (TxtEC) refers to the classification of emotion expressed by individuals in textual form. The widespread use of the Internet and numerous Web 2.0 applications has emerged in an expeditious growth of textual interactions
Externí odkaz:
https://doaj.org/article/cd447683baf24827bca6d4cd7c5a3e0b
Autor:
Lamia Alam, Mohammed Moshiul Hoque, M. Ali Akber Dewan, Nazmul Siddique, Inaki Rano, Iqbal H. Sarker
Publikováno v:
IEEE Access, Vol 9, Pp 28540-28557 (2021)
Inattentive driving is a key reason of road mishaps causing more deaths than speeding or drunk driving. Research efforts have been made to monitor drivers' attentional states and provide support to drivers. Both invasive and non-invasive methods have
Externí odkaz:
https://doaj.org/article/5f272ad62c244f268b80ed61c08f34f9
Autor:
Md. Rajib Hossain, Mohammed Moshiul Hoque, M. Ali Akber Dewan, Nazmul Siddique, Md. Nazmul Islam, Iqbal H. Sarker
Publikováno v:
IEEE Access, Vol 9, Pp 100319-100338 (2021)
Authorship classification is a method of automatically determining the appropriate author of an unknown linguistic text. Although research on authorship classification has significantly progressed in high-resource languages, it is at a primitive stag
Externí odkaz:
https://doaj.org/article/04a5093827244d00878fb2f7e8cdb2e3
Publikováno v:
IEEE Access, Vol 9, Pp 121060-121075 (2021)
Road boundary estimation is an essential task for autonomous vehicles and intelligent driving assistants. It is considerably straightforward to attain the task when roads are marked properly with indicators. However, estimating road boundary reliably
Externí odkaz:
https://doaj.org/article/eab223f4ccdf40bbbc25f50ff8e49c88
Autor:
Ahmed Wasif Reza, Muhammad Sazzad Hossain, Moonwar Al Wardiful, Maisha Farzana, Sabrina Ahmad, Farhana Alam, Rabindra Nath Nandi, Nazmul Siddique
Publikováno v:
Applied Sciences, Vol 13, Iss 1, p 312 (2022)
Brain tumor is a severe health condition that kills many lives every year, and several of those casualties are from rural areas. However, the technology to diagnose brain tumors at an early stage is not as efficient as expected. Therefore, we sought
Externí odkaz:
https://doaj.org/article/55fa4a5394d047069029368ee0a6bfa5
Publikováno v:
Frontiers in Neurorobotics, Vol 13 (2019)
Background: Realization of online control of an artificial or virtual arm using information decoded from EEG normally occurs by classifying different activation states or voluntary modulation of the sensorimotor activity linked to different overt act
Externí odkaz:
https://doaj.org/article/fa61ae4859ca42bf82c72514f8a3d0e9
Publikováno v:
Applied Sciences, Vol 11, Iss 15, p 6958 (2021)
Improvement of mobility, especially environment-friendly green mobility, is challenging in existing megacities due to road network complexity and space constraints. Endorsing the bicycle lane network (BLN) in congested megacities is a promising optio
Externí odkaz:
https://doaj.org/article/78fc99e797124c258d25758563d5b1e7