Zobrazeno 1 - 10
of 1 199
pro vyhledávání: '"Ali, Amin"'
For modern industrial applications, accurately detecting and diagnosing anomalies in multivariate time series data is essential. Despite such need, most state-of-the-art methods often prioritize detection performance over model interpretability. Addr
Externí odkaz:
http://arxiv.org/abs/2410.22735
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
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:
Paul, Ovi, Nayem, Abu Bakar Siddik, Sarker, Anis, Ali, Amin Ahsan, Amin, M Ashraful, Rahman, AKM Mahbubur
Land Use Land Cover (LULC) analysis on satellite images using deep learning-based methods is significantly helpful in understanding the geography, socio-economic conditions, poverty levels, and urban sprawl in developing countries. Recent works invol
Externí odkaz:
http://arxiv.org/abs/2406.05912
Publikováno v:
20th International Conference of Computer and Information Technology (ICCIT), pp. 1-6. IEEE, 2017
Analysis of traffic pattern recognition and traffic congestion expansion in real time are one of the exciting and challenging tasks which help the government to build a robust and sustainable traffic management system specially in a densely populated
Externí odkaz:
http://arxiv.org/abs/2308.08501
Autor:
Hossain, Mir Sazzat, Roy, Sugandha, Asad, K. M. B., Momen, Arshad, Ali, Amin Ahsan, Amin, M Ashraful, Rahman, A. K. M. Mahbubur
Publikováno v:
Procedia Computer Science, Volume 222, 2023, Pages 601-612
Out of the estimated few trillion galaxies, only around a million have been detected through radio frequencies, and only a tiny fraction, approximately a thousand, have been manually classified. We have addressed this disparity between labeled and un
Externí odkaz:
http://arxiv.org/abs/2306.00031
This paper aims to detect rice field damage from natural disasters in Bangladesh using high-resolution satellite imagery. The authors developed ground truth data for rice field damage from the field level. At first, NDVI differences before and after
Externí odkaz:
http://arxiv.org/abs/2304.00622
Autor:
Mohammad Ali Amin Jafari, Mohammad Reza Naderidarbaghshahi, Ali Soleymani, Bahram Majd Nasiri
Publikováno v:
Journal of Trace Elements and Minerals, Vol 9, Iss , Pp 100169- (2024)
Context: Drought stress is a major environmental factor limiting sunflower (Helianthus annus L.) growth and productivity, worldwide. Although there has been research on the use of zinc (Zn) to alleviate drought stress in sunflower, more has yet to be
Externí odkaz:
https://doaj.org/article/991d63bd2a464b95a10ab3b9d4dd5853
Autor:
Irsyad Ali Amin, M. Nur Rianto Al Arif
Publikováno v:
Jurnal Ekonomi dan Keuangan Islam, Vol 10, Iss 2 (2024)
Purpose – This study examines the direct and indirect relationships between the variables of waqf literacy, reputation, and integrity and investors' intentions in waqf shares. Methodology – This study uses the Smart Equation Modeling (SEM) analys
Externí odkaz:
https://doaj.org/article/db2ebe66be5d4b88a36889734d1227dc
Autor:
Saad Ali Amin, Mashal Kasem Sulieman Alqudah, Saleh Ateeq Almutairi, Rasha Almajed, Mohammad Rustom Al Nasar, Hamzah Ali Alkhazaleh
Publikováno v:
Heliyon, Vol 10, Iss 14, Pp e34050- (2024)
This study proposes a hierarchical automated methodology for detecting brain tumors in Magnetic Resonance Imaging (MRI), focusing on preprocessing images to improve quality and eliminate artifacts or noise. A modified Extreme Learning Machine is then
Externí odkaz:
https://doaj.org/article/0962bd2cb53d48cd917c5daa24112af8