The utilization of web-based applications has greatly increased in recent years. This, in turn, has raised security concerns and data breaches leading to losses of millions of dollars. A large part of these attacks is...
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Programming remains a dark art for beginners. The gap between how people speak and how computer programs are made has always made it hard for people to become programmers. Learning all the complex rules of programming...
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A biometric detection system named finger vein recognition studies the vein patterns in human fingers that are concealed under the skin's surface through pattern recognition algorithms. It involves comparing the v...
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In today's computing era, fog computing has emerged as a transformative paradigm, facilitating real-time data processing at the network edge to reduce latency and enhance responsiveness. However, ensuring optimal ...
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There is currently widespread use of IoT devices across various fields like health care, agriculture, manufacturing, transportation, and smart cities. IoT involves connecting objects and devices to the internet, which...
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The increasing world population leads to a heightened demand for sustainable living and nutritious food. The farming industry, which is one of the most profitable in the world, faces challenges in meeting these needs....
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The rising complexity of cyberthreats created the demand for compelling cybersecurity solutions that along with expanding Internet of Things (IoT) devices has made them indispensable. In the work our proposal is a Dee...
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Automated fraud detection in online transactions is a challenging task, as fraudsters are constantly developing new and sophisticated methods. Representation learning is a machine learning technique that can be used t...
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Deep learning has emerged as one of the main study areas in recent years because of its wide range of applications. One of the major applications of deep learning is image processing, which, when integrated with the d...
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In modern agriculture, the quest for enhanced crop yield and nutrient efficiency is paramount. Leveraging the Gradient Boosting Regressor algorithm, this research proposes a novel method to address this challenge. By ...
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