Zobrazeno 1 - 10
of 468
pro vyhledávání: '"Chowdhury, Muhammad A. H."'
Autor:
Tasin, Shahamat Mustavi, Chowdhury, Muhammad E. H., Pedersen, Shona, Chabbouh, Malek, Bushnaq, Diala, Aljindi, Raghad, Kabir, Saidul, Hasan, Anwarul
Inner speech recognition has gained enormous interest in recent years due to its applications in rehabilitation, developing assistive technology, and cognitive assessment. However, since language and speech productions are a complex process, for whic
Externí odkaz:
http://arxiv.org/abs/2412.17824
Autor:
Basak, Promit, Sarmun, Rusab, Kabir, Saidul, Al-Hashimi, Israa, Bhuiyan, Enamul Hoque, Hasan, Anwarul, Khan, Muhammad Salman, Chowdhury, Muhammad E. H.
Automated lumbar spine segmentation is very crucial for modern diagnosis systems. In this study, we introduce a novel machine-agnostic approach for segmenting lumbar vertebrae and intervertebral discs from MRI images, employing a cascaded model that
Externí odkaz:
http://arxiv.org/abs/2411.15656
Autor:
Rahman, Md. Sohanur, Chowdhury, Muhammad E. H., Rahman, Hasib Ryan, Ahmed, Mosabber Uddin, Kabir, Muhammad Ashad, Roy, Sanjiban Sekhar, Sarmun, Rusab
In this study, we propose a novel and robust framework, Self-DenseMobileNet, designed to enhance the classification of nodules and non-nodules in chest radiographs (CXRs). Our approach integrates advanced image standardization and enhancement techniq
Externí odkaz:
http://arxiv.org/abs/2410.12584
Autor:
Essaid, Billel, Kheddar, Hamza, Batel, Noureddine, Chowdhury, Muhammad E. H., Lakas, Abderrahmane
Publikováno v:
IEEE Access, 2024
Automatic speech recognition (ASR) plays a pivotal role in our daily lives, offering utility not only for interacting with machines but also for facilitating communication for individuals with partial or profound hearing impairments. The process invo
Externí odkaz:
http://arxiv.org/abs/2403.15442
Autor:
Sayem, Faizul Rakib, Ahmed, Mosabber Uddin, Alam, Saadia Binte, Mahmud, Sakib, Sheikh, Md. Mamun, Alqahtani, Abdulrahman, Faisal, Md Ahasan Atick, Chowdhury, Muhammad E. H.
Atrial fibrillation (AF) increases the risk of stroke. Electrocardiogram (ECG) is used for AF detection, while photoplethysmography (PPG) is simple to use and appropriate for long-term monitoring. We have developed a novel approach to detect AF from
Externí odkaz:
http://arxiv.org/abs/2312.09459
Autor:
Bushra, Fabiha, Chowdhury, Muhammad E. H., Sarmun, Rusab, Kabir, Saidul, Said, Menatalla, Zoghoul, Sohaib Bassam, Mushtak, Adam, Al-Hashimi, Israa, Alqahtani, Abdulrahman, Hasan, Anwarul
Publikováno v:
Expert Systems With Applications, Volume 245, 1 July 2024, 123029
The increasing reliance on Computed Tomography Pulmonary Angiography (CTPA) for Pulmonary Embolism (PE) diagnosis presents challenges and a pressing need for improved diagnostic solutions. The primary objective of this study is to leverage deep learn
Externí odkaz:
http://arxiv.org/abs/2311.05197
Autor:
Basak, Promit, Sakib, A. H. M Nazmus, Chowdhury, Muhammad E. H., Al-Emadi, Nasser, Yalcin, Huseyin Cagatay, Pedersen, Shona, Mahmud, Sakib, Kiranyaz, Serkan, Al-Maadeed, Somaya
Publikováno v:
Expert Systems with Applications, Volume 235, 2024, 121196, ISSN 0957-4174
Monitoring the electrical pulse of fetal heart through a non-invasive fetal electrocardiogram (fECG) can easily detect abnormalities in the developing heart to significantly reduce the infant mortality rate and post-natal complications. Due to the ov
Externí odkaz:
http://arxiv.org/abs/2310.03759
Diabetes-related foot ulcers and complications are a significant concern for individuals with diabetes, leading to severe health implications such as lower-limb amputation and reduced quality of life. This chapter discusses applying AI-driven persona
Externí odkaz:
http://arxiv.org/abs/2309.13049
Autor:
Abbas, Tariq O., AbdelMoniem, Mohamed, Khalil, Ibrahim, Hossain, Md Sakib Abrar, Chowdhury, Muhammad E. H.
Objectives: To explore the capacity of deep learning algorithm to further streamline and optimize urethral plate (UP) quality appraisal on 2D images using the plate objective scoring tool (POST), aiming to increase the objectivity and reproducibility
Externí odkaz:
http://arxiv.org/abs/2209.13848
Autor:
Mahmud, Sakib, Khandakar, Amith, Chowdhury, Muhammad E. H., AbdulMoniem, Mohammed, Reaz, Mamun Bin Ibne, Mahbub, Zaid Bin, Sadasivuni, Kishor Kumar, Murugappan, M, Alhatou, Mohammed
Various foot complications can be easily avoided by continuous monitoring of foot plantar temperature and pressure. In this work, the design, characterization, and implementation of a Fiber Bragg Gratings (FBG) based smart insole capable of simultane
Externí odkaz:
http://arxiv.org/abs/2208.12201