This research explores the development and ethical considerations surrounding an advanced keylogger designed for parental control and employee monitoring. We present the technical aspects of our keylogger, emphasizing...
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Every time they get a project, planning consultants and building implementers always work with contractors to work on the project. However, in project work, there are often several obstacles to the selected contractor...
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There are certain apps to record how people spent their day and whether they lived the day as per their goals. But these only make people feel guilty for having wasted the day or happy on being productive, but no app ...
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In recent years, personalized paper grouping is a hot research topic in the field of intelligence education. In this paper, we propose an optimized deep knowledge tracking model Mul-MAKT combined with a genetic algori...
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With the development of technology, artificial intelligence is becoming gigantic and entering many areas. This development of artificial intelligence has also revealed beautiful studies by making contributions to the ...
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As Healthcare 5.0 becomes more widely accepted, the healthcare industry in general is changing, leading to better patient care and more system efficiency. The degree of digital automation that introduced cutting-edge ...
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The exponential growth of web applications employing scripting languages like PHP and JavaScript has brought about significant security challenges, particularly in terms of software vulnerabilities. Traditional Intrus...
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In 21st century, AI-based intelligent recommendation system uses rating predictions, which are frequently utilized and helps users swiftly filter down their options and make informed judgements from an abundance of ma...
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The widespread development of internet technology has made life easier in many ways, such as social networking, online banking, and information retrieval. But this growth has also brought forth a multitude of security...
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This study demonstrates the utilization of Machine Learning (ML) for network slice prediction, enabling the optimization of resources for diverse network slices. Traditional methods for network slice prediction often ...
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