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Found 9 papers, 0 papers with code
Optical Character Recognition and Transcription of Berber Signs from Images in a Low-Resource Language Amazigh
This is achieved by self-creating a corpus of 1862 pre-processed character images; curating the corpus with human-guided annotation; and feeding it into an OCR model via the deployment of CNN for deep learning based on computer vision models.
Optical Character Recognition
Optical Character Recognition (OCR)
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Hey Dona! Can you help me with student course registration?
In line with this progress, Dona is an intelligent agent catering to student needs by automated, voice-operated course registration, spanning a multitude of accents, entailing task planning optimization, with some language translation as needed.
Machine Learning Approaches in Agile Manufacturing with Recycled Materials for Sustainability
to find optimal accuracy, efficiency and robustness adequate for sustainable processes; creating domain-specific tools using machine learning for decision support in agile manufacturing; and assessing impacts on sustainability with metrics incorporating the appropriate use of recycled materials as well as the effectiveness of developed products.
Linking Alternative Fuel Vehicles Adoption with Socioeconomic Status and Air Quality Index
This is a study on the potential widespread usage of alternative fuel vehicles, linking them with the socio-economic status of the respective consumers as well as the impact on the resulting air quality index.
Common Sense Knowledge, Ontology and Text Mining for Implicit Requirements
Explicit Requirements are well-defined needs for a system to execute.
Mining GIS Data to Predict Urban Sprawl
In our work, spatiotemporal features related to real GIS data on urban sprawl such as population growth and demographics are mined to discover knowledge for decision support.
Interpretable Distance Metric Learning for Handwritten Chinese Character Recognition
In this paper, we propose an interpretable distance metric learning approach for handwritten Chinese character recognition.
Cyber Intrusion Detection by Using Deep Neural Networks with Attack-sharing Loss
To achieve high detection accuracy on imbalanced data, we design a novel attack-sharing loss function that can effectively move the decision boundary towards the attack classes and eliminates the bias towards the majority/benign class.
Information to Wisdom: Commonsense Knowledge Extraction and Compilation
Commonsense knowledge is a foundational cornerstone of artificial intelligence applications.
