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Everistus Zeluwa Orji, Ali Haydar, Ibrahim Ersan and Othmar Othmar Mwambe
This paper comprehensively assesses the application of active learning strategies to enhance natural language processing-based optical character recognition (OCR) models for image-to-LaTeX conversion. It addresses the existing limitations of OCR models a...
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Sapna Sadhwani, Baranidharan Manibalan, Raja Muthalagu and Pranav Pawar
The study in this paper characterizes lightweight IoT networks as being established by devices with few computer resources, such as reduced battery life, processing power, memory, and, more critically, minimal security and protection, which are easily vu...
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Adnane Drissi Elbouzidi, Abdessamad Ait El Cadi, Robert Pellerin, Samir Lamouri, Estefania Tobon Valencia and Marie-Jane Bélanger
In the era of industry 5.0, digital twins (DTs) play an increasingly pivotal role in contemporary society. Despite the literature?s lack of a consistent definition, DTs have been applied to numerous areas as virtual replicas of physical objects, machines...
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Xinze Yang, Chunkai Zhang, Yizhi Sun, Kairui Pang, Luru Jing, Shiyun Wa and Chunli Lv
This research primarily explores the application of Natural Language Processing (NLP) technology in precision financial fraud detection, with a particular focus on the implementation and optimization of the FinChain-BERT model. Firstly, the FinChain-BERT...
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Ahmad Alhindi, Abrar Alsaidi and Amr Munshi
The distributor management system has long been a challenge for many organizations and companies. Overall, successful distribution involves several moving entities and methods, requiring a resilient distribution management strategy powered by data analys...
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