Zobrazeno 1 - 10
of 26 005
pro vyhledávání: '"A Mamun"'
Autor:
Mamun, Abdullah, Leonard, Krista S., Petrov, Megan E., Buman, Matthew P., Ghasemzadeh, Hassan
Objective: This research aims to develop a lifestyle intervention system, called MoveSense, that forecasts a patient's activity behavior to allow for early and personalized interventions in real-world clinical environments. Methods: We conducted two
Externí odkaz:
http://arxiv.org/abs/2410.09643
Autor:
Mamun, Abdullah, Devoe, Lawrence D., Evans, Mark I., Britt, David W., Klein-Seetharaman, Judith, Ghasemzadeh, Hassan
Early detection of intrapartum risk enables interventions to potentially prevent or mitigate adverse labor outcomes such as cerebral palsy. Currently, there is no accurate automated system to predict such events to assist with clinical decision-makin
Externí odkaz:
http://arxiv.org/abs/2410.09635
Autor:
Griesemer, Tina, Ximenes, Rui Franqueira, Ahdida, Claudia, Izquierdo, Gonzalo Arnau, Santillana, Ignacio Aviles, Callaghan, Jack, Dumont, Gerald, Dutilleul, Thomas, Terricabras, Adria Gallifa, Höll, Stefan, Jacobsson, Richard, Kyffin, William, Mamun, Abdullah Al, Mazzola, Giuseppe, Fontenla, Ana Teresa Pérez, De Frutos, Oscar Sacristan, Esposito, Luigi Salvatore, Sgobba, Stefano, Calviani, Marco
Particle-producing targets in high-energy research facilities are often made from refractory metals, and they typically require dedicated cooling systems due to the challenging thermomechanical conditions they experience. However, direct contact of w
Externí odkaz:
http://arxiv.org/abs/2410.01988
Context: The advent of Large Language Model-driven tools like ChatGPT offers software engineers an interactive alternative to community question-answering (CQA) platforms like Stack Overflow. While Stack Overflow provides benefits from the accumulate
Externí odkaz:
http://arxiv.org/abs/2409.17473
Autor:
Islam, Md. Johirul, Rumman, Umme, Ferdousi, Arifa, Pervez, Md. Sarwar, Ara, Iffat, Ahmad, Shamim, Haque, Fahmida, Hamid, Sawal, Ali, Md., Zaman, Kh Shahriya, Reaz, Mamun Bin Ibne, Chowdhury, Mustafa Habib, Islam, Md. Rezaul
Objective: Variation of forearm orientation is one of the crucial factors that drastically degrades the forearm orientation invariant hand gesture recognition performance or the degree of freedom and limits the successful commercialization of myoelec
Externí odkaz:
http://arxiv.org/abs/2410.00029
Over the years in object detection several efficient Convolutional Neural Networks (CNN) networks, such as DenseNet201, InceptionV3, ResNet152v2, SEresNet152, VGG19, Xception gained significant attention due to their performance. Moreover, CNN paradi
Externí odkaz:
http://arxiv.org/abs/2409.06689
Autor:
Rumman, Umme, Ferdousi, Arifa, Hossain, Md. Sazzad, Islam, Md. Johirul, Ahmad, Shamim, Reaz, Mamun Bin Ibne, Islam, Md. Rezaul
Surface electromyography (sEMG) signal holds great potential in the research fields of gesture recognition and the development of robust prosthetic hands. However, the sEMG signal is compromised with physiological or dynamic factors such as forearm o
Externí odkaz:
http://arxiv.org/abs/2409.07484
Autor:
Aller, Henry T., Pfeifer, Thomas W., Mamun, Abdullah, Huynh, Kenny, Tadjer, Marko, Feygelson, Tatyana, Hobart, Karl, Anderson, Travis, Pate, Bradford, Jacobs, Alan, Lundh, James Spencer, Goorsky, Mark, Khan, Asif, Hopkins, Patrick, Graham, Samuel
This study investigates thermal transport across nanocrystalline diamond/AlGaN interfaces, crucial for enhancing thermal management in AlGaN/AlGaN-based devices. Chemical vapor deposition growth of diamond directly on AlGaN resulted in a disordered i
Externí odkaz:
http://arxiv.org/abs/2408.08076
Autor:
Alam, Md Tahmidul, Chen, Jiahao, Stephenson, Kenneth, Mamun, Md Abdullah-Al, Mazumder, Abdullah Al Mamun, Pasayat, Shubhra S., Khan, Asif, Gupta, Chirag
High voltage (~2 kV) AlGaN-channel HEMTs were fabricated with 64% Aluminum composition in the channel. The average on-resistance was ~75 ohm. mm (~21 miliohm. cm^2) for LGD = 20 microns. Breakdown voltage reached >3 kV (tool limit) before passivation
Externí odkaz:
http://arxiv.org/abs/2407.10354
Autor:
Alhamadah, Ahmed, Mamun, Muntasir, Harms, Henry, Redondo, Mathew, Lin, Yu-Zheng, Pacheco, Jesus, Salehi, Soheil, Satam, Pratik
The onset of Industry 4.0 is rapidly transforming the manufacturing world through the integration of cloud computing, machine learning (ML), artificial intelligence (AI), and universal network connectivity, resulting in performance optimization and i
Externí odkaz:
http://arxiv.org/abs/2407.18951