Zobrazeno 1 - 10
of 12 223
pro vyhledávání: '"Azlan, A."'
This paper presents ARN-LSTM, a novel multi-stream action recognition model designed to address the challenge of simultaneously capturing spatial motion and temporal dynamics in action sequences. Traditional methods often focus solely on spatial or t
Externí odkaz:
http://arxiv.org/abs/2411.01769
Integrating machine learning (ML) into customer service chatbots enhances their ability to understand and respond to user queries, ultimately improving service performance. However, they may appear artificial to some users and affecting customer expe
Externí odkaz:
http://arxiv.org/abs/2409.18568
Autor:
Ngu, Sie-Bing, Amran, Azlan
Publikováno v:
Meditari Accountancy Research, 2024, Vol. 32, Issue 6, pp. 2053-2082.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/MEDAR-10-2023-2206
Autor:
Norhafizah Sahril, Ying Ying Chan, Noor Ani Ahmad, Mohamad Aznuddin Abd Razak, Muhammad Solihin Rezali, Nor’Ain Ab Wahab, Mohd Shaiful Azlan Kassim, Norsyamlina Che Abdul Rahim
Publikováno v:
Journal of Health, Population and Nutrition, Vol 43, Iss 1, Pp 1-12 (2024)
Abstract Introduction Data on child functioning and disability are important for public policy development which aimed at reducing child disability prevalence and strengthening the provision of appropriate and timely health care services. This study
Externí odkaz:
https://doaj.org/article/a5580a0c4535428fa3b9329c862707ec
Autor:
Bagdaulet Kenzhaliyev, Aigul Koizhanova, Tatyana Surkova, Dametken Fischer, M. N. Azlan, Olga Atanova, David Magomedov, Maria Yerdenova, Nurgali Abdyldayev
Publikováno v:
Discover Applied Sciences, Vol 6, Iss 11, Pp 1-15 (2024)
Abstract The focus of this work is to establish a hydrometallurgical technique for efficiently extracting gold from the aggregated gold-rich concentrate produced by a mining facility in one of Kazakhstan's deposits. The leaching techniques applied to
Externí odkaz:
https://doaj.org/article/4e7d71874f944f1da46d13fa52cb787d
Publikováno v:
Science and Technology Indonesia, Vol 9, Iss 4, Pp 866-875 (2024)
This study investigates the thermal conversion of waste coral and its utilization as a heterogeneous catalyst for biodiesel production from soybean oil. In this work, waste coral is calcined at varied temperatures of 800, 900, and 1000°C, and the ef
Externí odkaz:
https://doaj.org/article/340dcc6300304ae896297071ff61ba44
Autor:
Waqas Naseem, Irfan Ullah Jan, Khairul Azlan Mustahpa, Mohammed Hail Hakimi, Shabeer Ahmed, Ali Y. Kahal
Publikováno v:
ACS Omega, Vol 9, Iss 38, Pp 39430-39451 (2024)
Externí odkaz:
https://doaj.org/article/0173224550d34328a77cc780d26405f9
Publikováno v:
Discover Chemical Engineering, Vol 4, Iss 1, Pp 1-21 (2024)
Abstract Energy sources are critical in the industrial sector, particularly as population growth intensifies the pressure on industries to scale up production to meet increasing demands. Integrating renewable energy sources such as biomass, biogas, a
Externí odkaz:
https://doaj.org/article/9fde333811e64ff695d7f7824fb2cb2f
Autor:
Mohd Rhafiq Mazlan, Nashrah Hani Jamadon, Mohd Azlan Aripin, Abu Bakar Sulong, Aiman Mohd Halil, Mahadzir Ishak, Shamini Janasekaran
Publikováno v:
Journal of Materials Research and Technology, Vol 32, Iss , Pp 3382-3389 (2024)
The objective of this study is to comprehend how changes in laser speed affect the behaviour and features of neck formation in SS316L during powder bed fusion. This study examines the impact of various laser speeds on the neck formation in the common
Externí odkaz:
https://doaj.org/article/8eaa01841b96406ea220110a21f54bfa
Group activity recognition is a hot topic in computer vision. Recognizing activities through group relationships plays a vital role in group activity recognition. It holds practical implications in various scenarios, such as video analysis, surveilla
Externí odkaz:
http://arxiv.org/abs/2307.13541