Nibaran Das – författare

Document Processing Using Machine Learning aims at presenting a handful of resources for students and researchers working in the document image analysis (DIA) domain using machine learning since it covers multiple document processing problems. Starting with an explanation of how Artificial Intelligence (AI) plays an important role in this domain, the book further discusses how different machine learning algorithms can be applied for classification/recognition and clustering problems regardless the type of input data: images or text.

In brief, the book offers comprehensive coverage of the most essential topics, including:

· The role of AI for document image analysis

· Optical character recognition

· Machine learning algorithms for document analysis

· Extreme learning machines and their applications

· Mathematical foundation for Web text document analysis

· Social media data analysis

· Modalities for document dataset generation

This book serves both undergraduate and graduate scholars in Computer Science/Information Technology/Electrical and Computer Engineering. Further, it is a great fit for early career research scientists and industrialists in the domain.

Document Processing Using Machine Learning aims at presenting a handful of resources for students and researchers working in the document image analysis (DIA) domain using machine learning since it covers multiple document processing problems. Starting with an explanation of how Artificial Intelligence (AI) plays an important role in this domain, the book further discusses how different machine learning algorithms can be applied for classification/recognition and clustering problems regardless the type of input data: images or text.

In brief, the book offers comprehensive coverage of the most essential topics, including:

· The role of AI for document image analysis

· Optical character recognition

· Machine learning algorithms for document analysis

· Extreme learning machines and their applications

· Mathematical foundation for Web text document analysis

· Social media data analysis

· Modalities for document dataset generation

This book serves both undergraduate and graduate scholars in Computer Science/Information Technology/Electrical and Computer Engineering. Further, it is a great fit for early career research scientists and industrialists in the domain.

This book features high-quality, peer-reviewed research papers presented at the International Conference on Data Electronics and Computing (ICDEC 2023) organized by Department of Computer Science & Engineering, Mizoram University (A Central University) Aizawl, India & Department of Computer Science & Engineering, National Institute of Technology Mizoram Aizawl, India during 15 – 16 December 2023. The book covers topics in communication, networking and security, image, video and signal processing; cloud computing, IoT and smart city, AI/ML, big data and data mining, VLSI design, antenna, and microwave and

control.

This book features high-quality, peer-reviewed research papers presented at the International Conference on Data Electronics and Computing (ICDEC 2023) organized by Department of Computer Science & Engineering, Mizoram University (A Central University) Aizawl, India & Department of Computer Science & Engineering, National Institute of Technology Mizoram Aizawl, India during 15 – 16 December 2023. The book covers topics in communication, networking and security, image, video and signal processing; cloud computing, IoT and smart city, AI/ML, big data and data mining, VLSI design, antenna, and microwave and control.