Here is a summary of the articles you provided:

[1] This article proposes a blockchain-based framework for an online examination system that aims to provide transparency, security, and verifiability. It discusses the benefits of using blockchain technology in the context of online exams.

[2] This article focuses on hidden monitoring based on keystroke dynamics in an online examination system. It explores how keystroke dynamics can be used to detect cheating behaviors during online exams.

[3] This article presents a deep learning-based approach for cheating detection in online exam systems. It discusses the effectiveness and efficiency of using deep learning algorithms to detect cheating behaviors.

[4] This article discusses the role and utilization of web-based online examination systems in various educational areas. It explores the benefits and challenges of implementing online exams in different educational contexts.

[5] This article introduces a new automated forms generation algorithm for online assessment. It discusses how this algorithm can be used to generate assessment forms for online exams, improving the efficiency of the assessment process.

[6] This article explores the implications of deep learning-based methods for face recognition in online examination systems. It discusses how deep learning algorithms can be used for accurate and reliable face recognition during online exams.

[7] This article presents an automatic test paper generation system for online exams based on a test site knowledge map. It discusses how this system can generate test papers automatically based on the knowledge map, improving the efficiency of the exam preparation process.

Overall, these articles cover various aspects of online examination systems, including transparency, security, cheating detection, automated forms generation, face recognition, and test paper generation.

1Banupriya SKottilingam K A Blockchain-Based Framework for Transparent Secure and Verifiable Online Examination SystemJ Journal of Uncertain Systems202215032Hidden Monitoring Based on Keystroke Dynami

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