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Browsing by Subject "deep learning"

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Beyond Words: Understanding the Art of Lip Reading in Multimodal Communication

Ketab, Ahmed S.; abbadi, Nidhal K. El (2023-07-18)

Speech recognition from lip movement is fascinating and challenging research area that has garnered substantial interest in recent times. The ability to recognize speech from lip movement has many potential applications, ...
Citrus Fruit Disease Detection Techniques: A Survey and Comparative Analysis of Relevant Approaches

Dhiman, Poonam; Kaur, Amandeep; Kukreja, Vinay (2023-10-01)

The incorporation of computer vision in contemporary agriculture has witnessed significant advancements, particularly in detecting diseases and deficiencies affecting citrus fruit production. This study provides an in-depth ...
A Fusion Architecture of BERT and RoBERTa for Enhanced Performance of Sentiment Analysis of Social Media Platforms

Kumar, BV Pranay; Sadanandam, Manchala (2024-01-01)

Natural language processing's subfield of sentiment analysis involves locating and categorizing the feelings, viewpoints, and attitudes expressed in text. Because it enables us to understand public opinion on a variety ...
Ontology-based classification method using statistical and symbolic approaches for plant diseases detection in Agriculture

Ahmed, Imtiaz; Yadav, Pramod Kumar (2023-10-01)

Agriculturalists spend the majority of their financial resources managing and diagnosing plant diseases. Manually identifying plant diseases requires a lot of time and effort. This study recommends deep neural networks ...
Philippine Banknote Counterfeit Detection through Domain Adaptive Deep Learning Model of Convolutional Neural Network

B. Alejo, Marwin; Lawrenz D. Villanueva, Josh; Philip E. Garchitorena, Marcus; C. Reyes, Shannen; Michael B. Delos Reyes, John; Adonis L. Marasigan, Quinne (2021-08-23)

Money counterfeiting is the illegal duplication of any currency for the use of deceiving any entity in exchange for a real-world value. Due to the advancements in computer vision in digital computing and the ill-effects ...
Use Word Cloud Image Of Web Page Text Content On Convolutional Neural Network (CNN) For Classification of Web Pages

Apandi, Siti Hawa; Sallim, Jamaludin; Mohamed, Rozlina (2024-01-15)

In today's environment, people can easily use the internet to find information by visiting web pages. Most people like to visit web pages that offer games and videos to watch online. People who spend a lot of time on web ...

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Browsing by Subject "deep learning"

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