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Federated Learning in Natural Language Processing (NLP)
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Federated Learning in Natural Language Processing

Introduction: Federated Learning in NLP As Natural Language Processing (NLP) continues to evolve, the demand for privacy-preserving, decentralized machine learning solutions has skyrocketed. This is where Federated Learning (FL) steps in. By empowering decentralized data processing while maintaining privacy, FL is changing the way NLP models are trained and deployed. This section will provide

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Multimodal Deep Learning in Breast Cancer Classification
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Multimodal Deep Learning in Breast Cancer Classification

Introduction to Multimodal Deep Learning in Breast Cancer Classification Overview of Breast Cancer Diagnosis Challenges Breast cancer remains one of the most prevalent types of cancer worldwide, affecting millions of women every year. According to recent statistics, breast cancer diagnoses are increasing, which highlights the pressing need for improved detection and

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Deep models for Multi-View 3D Object Recognition
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Deep models for Multi-View 3D Object Recognition

What is Multi-View 3D Object Recognition? Multi-view 3D object recognition is a pivotal technology in the field of computer vision that involves analyzing and interpreting 3D objects by observing them from multiple perspectives. Unlike traditional single-view recognition methods, this technique allows a model to capture richer details by combining information from various

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Understanding for Scanned Documents
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Advancements in Form Understanding for Scanned Documents

Introduction to Form Understanding in Scanned Documents In today’s digital age, the digitization of physical documents has revolutionized how we store, process, and analyze information. From historical records to daily business transactions, everything is transitioning from paper-based to digital formats. This shift brings immense benefits, such as more efficient storage, easy access,

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