Zobrazeno 1 - 10
of 32 849
pro vyhledávání: '"Fahim IS"'
Autor:
Pahul Preet Singh, Fahim Islam Anik, Rahul Senapati, Arnav Sinha, Nazmus Sakib, Eklas Hossain
Publikováno v:
Data Science and Management, Vol 7, Iss 1, Pp 7-16 (2024)
Customer attrition in the banking industry occurs when consumers quit using the goods and services offered by the bank for some time and, after that, end their connection with the bank. Therefore, customer retention is essential in today’s extremel
Externí odkaz:
https://doaj.org/article/7982e3c50eca498ab0d6264ba375b7a1
Publikováno v:
التربية الرياضية, Vol 36, Iss 2 (2024)
Functional strength is one of the most important elements of physical preparation and an important physical characteristic in our daily life in general and sports training in particular, as it is the most influential characteristic in all sporting ev
Externí odkaz:
https://doaj.org/article/1fe51250f7ae4a7da114f33478572789
Autor:
Choi, Ryuhaerang, Chatterjee, Soumyajit, Spathis, Dimitris, Lee, Sung-Ju, Kawsar, Fahim, Malekzadeh, Mohammad
Developing new machine learning applications often requires the collection of new datasets. However, existing datasets may already contain relevant information to train models for new purposes. We propose SoundCollage: a framework to discover new cla
Externí odkaz:
http://arxiv.org/abs/2410.23008
Photoplethysmography (PPG) is the most widely used non-invasive technique for monitoring biosignals and cardiovascular health, with applications in both clinical settings and consumer health through wearable devices. Current machine learning models t
Externí odkaz:
http://arxiv.org/abs/2410.20542
Autor:
Apon, Tasnim Sakib, Fahim-Ul-Islam, Md., Rafin, Nafiz Imtiaz, Akter, Joya, Alam, Md. Golam Rabiul
Knee osteoarthritis(KO) is a degenerative joint disease that can cause severe pain and impairment. With increased prevalence, precise diagnosis by medical imaging analytics is crucial for appropriate illness management. This research investigates a c
Externí odkaz:
http://arxiv.org/abs/2410.20062
Traffic forecasting in Intelligent Transportation Systems (ITS) is vital for intelligent traffic prediction. Yet, ITS often relies on data from traffic sensors or vehicle devices, where certain cities might not have all those smart devices or enablin
Externí odkaz:
http://arxiv.org/abs/2410.15589
For specialized domains, there is often not a wealth of data with which to train large machine learning models. In such limited data / compute settings, various methods exist aiming to $\textit{do more with less}$, such as finetuning from a pretraine
Externí odkaz:
http://arxiv.org/abs/2410.15509
The current work is a qualitative study that aims to explore the implementation of Twisted and Coiled Artificial Muscles (TCAMs) for actuating and replicating the bending motion of an octopus-like soft robot arm underwater. Additionally, it investiga
Externí odkaz:
http://arxiv.org/abs/2410.15498
Autor:
Ahasan, Md Mubtasim, Fahim, Md, Mohiuddin, Tasnim, Rahman, A K M Mahbubur, Chadha, Aman, Iqbal, Tariq, Amin, M Ashraful, Islam, Md Mofijul, Ali, Amin Ahsan
Recent advancements in speech-language models have yielded significant improvements in speech tokenization and synthesis. However, effectively mapping the complex, multidimensional attributes of speech into discrete tokens remains challenging. This p
Externí odkaz:
http://arxiv.org/abs/2410.15017
Autor:
Barua, Deeparghya Dutta, Sourove, Md Sakib Ul Rahman, Ishmam, Md Farhan, Haider, Fabiha, Shifat, Fariha Tanjim, Fahim, Md, Alam, Md Farhad
Visual Question Answer (VQA) poses the problem of answering a natural language question about a visual context. Bangla, despite being a widely spoken language, is considered low-resource in the realm of VQA due to the lack of a proper benchmark datas
Externí odkaz:
http://arxiv.org/abs/2410.14991