Zobrazeno 1 - 10
of 18 430
pro vyhledávání: '"A. A., Abiodun"'
Autor:
Oketunji, Abiodun Finbarrs
This study investigates the application of deep residual networks for predicting the dynamics of interacting three-dimensional rigid bodies. We present a framework combining a 3D physics simulator implemented in C++ with a deep learning model constru
Externí odkaz:
http://arxiv.org/abs/2407.18798
Autor:
Taiwo, Ridwan, Bello, Idris Temitope, Abdulai, Sulemana Fatoama, Yussif, Abdul-Mugis, Salami, Babatunde Abiodun, Saka, Abdullahi, Zayed, Tarek
The construction industry is a vital sector of the global economy, but it faces many productivity challenges in various processes, such as design, planning, procurement, inspection, and maintenance. Generative artificial intelligence (AI), which can
Externí odkaz:
http://arxiv.org/abs/2402.09939
Autor:
Oketunji, Abiodun Finbarrs
The proliferation of deep learning in natural language processing (NLP) has led to the development and release of innovative technologies capable of understanding and generating human language with remarkable proficiency. Atinuke, a Transformer-based
Externí odkaz:
http://arxiv.org/abs/2401.16736
Autor:
Bello, Abdulkabir Opeyemi, Eje, Doris Omonogwu, Idris, Abdullahi, Semiu, Mudasiru Abiodun, Khan, Ayaz Ahmad
Publikováno v:
Journal of Engineering, Design and Technology, 2023, Vol. 22, Issue 6, pp. 2043-2062.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/JEDT-11-2022-0571
Autor:
Ajani, Yusuf Ayodeji, Oladokun, Bolaji David, Enakrire, Rexwhite Tega, Ibironke, Ebenezer Sanya, Morodi, Lebogang, Enidiok, Mary Sunday, Sulaiman, Gafar Blessing, Moshood, Balqees Abiodun
Publikováno v:
Reference Services Review, 2024, Vol. 52, Issue 3, pp. 450-460.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/RSR-05-2024-0025
Autor:
Kehinde, Opadele, Abdul, Ruth, Afolabi, Bose, Vir, Parminder, Namblard, Corinne, Mukhopadhyay, Ayan, Adereni, Abiodun
More than 5 million children under five years die from largely preventable or treatable medical conditions every year, with an overwhelmingly large proportion of deaths occurring in underdeveloped countries with low vaccination uptake. One of the Uni
Externí odkaz:
http://arxiv.org/abs/2402.00017
The Large Language Model Bias Index (LLMBI) is a pioneering approach designed to quantify and address biases inherent in large language models (LLMs), such as GPT-4. We recognise the increasing prevalence and impact of LLMs across diverse sectors. Th
Externí odkaz:
http://arxiv.org/abs/2312.14769
This study harnesses the predictive capabilities of Long Short-Term Memory (LSTM) networks to analyse and predict road traffic accidents in Great Britain. It addresses the challenge of traffic accident forecasting, which is paramount for devising eff
Externí odkaz:
http://arxiv.org/abs/2312.08948
Autor:
Franck Eitel Kemgang Ghomsi, Björn Nyberg, Roshin P. Raj, Antonio Bonaduce, Babatunde J. Abiodun, Ola M. Johannessen
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract The Gulf of Guinea (GoG) is highly vulnerable to sea level rise, with projections indicating a significant increase in permanently inundated land by 2100, ranging from 1,458.1 to 4,331.7 km2. This study evaluates the severity of potential co
Externí odkaz:
https://doaj.org/article/90a25c54b1c04e459eea97e4211cec8d
Autor:
Patrick Ashinze, Suvam Banerjee, Emmanuel Egbunu, Wuraola Salawu, Abdullaah Idris-Agbabiaka, Eniola Obafemi, Tolulope Joseph Olajuwon, Bethrand Chukwu, Sikiru Ademola Aremu, Olafisoye-Oragbade Oluwatosin David, Hamdallah Modupe Alausa, Folayemi Abiodun Iwaloye
Publikováno v:
The Cardiothoracic Surgeon, Vol 32, Iss 1, Pp 1-11 (2024)
Abstract Background Cardiac myxomas are the most common primary cardiac tumors, predominantly located in the left atrium. These benign tumors can obstruct blood flow, cause embolization, or produce systemic symptoms like fever. Diagnostic tools such
Externí odkaz:
https://doaj.org/article/cdda859dfb114a44b0601935d2eda0c0