Mobyen Uddin Ahmed on Muck Rack

Mobyen Uddin Ahmed

As seen in: MDPI
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Articles

Enhancing Multimodal Reasoning with Data Alignment and Fusion

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By Mobyen Uddin Ahmed, Shahina Begum, Abbas Cheddad, Mälardalens Universitet
| avhandlingar.se
Nyckelord: NATURVETENSKAP; NATURAL SCIENCES; Multimodal Machine Learning; Transfer Learning; Multimodal Reasoning; Data Alignment; Data Fusion; Computer Science; datavetenskap; Sammanfattning: Multimodal machine learning (MML) significantly transformed the development of artificial intelligence (AI) systems. Instead of working with single source data, it integrated and analysed information from multiple modalities, such as images, audio, text, sensors, and more.
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Vision-Based Driver’s Cognitive Load Classification Considering Eye Movement Using Machine Learning and Deep Learning

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By Hamidur Rahman, Peter V. K. Funk, Mobyen Uddin Ahmed, Shaibal Barua
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited.
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