Scope of the Book
This book focuses on algorithms and models related to Artificial Intelligence, Big Data, and IoT used to monitor, assess and evaluate the students' during online examination. It provides the readers a broader and deeper understanding of several perspectives, dynamics, challenges, and opportunities of online examination systems using Artificial Intelligence, Big data, and IoT. This book majorly focuses on problems that can be solved through computer vision, video and audio streaming, class imbalance data, audio-to-text process, multi-modal and bi-modal aspects, hand-written strokes, text similarity, biomedical ethics and advancements in machine and deep learning algorithms for the effectiveness of online examination system. Simplified and unique IoT-based systems designed for online examination systems have also been discussed and explored to analyze the student's trustworthiness in the exam.
Editors :
Prof. Chandan Chakraborty - Department of Computer Science and Engineering, National Institute of Technical Teachers' Training & Research, Kolkatta, West Bengal, India
Ramanujam E - Department of Computer Science and Engineering, National Institute of Technology Silchar, Assam, India.
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