Flying Ad hoc Networks are becoming highly appealing due to their versatile applications in domains like surveillance, search and rescue, environmental monitoring, and communication relays, offering significant societ...
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Type 2 diabetes is a chronic digestive condition characterized by hyperglycemia, which is caused by either a lack of insulin secretion or inadequate insulin synthesis. There is no medical care strategy that can preven...
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Satellite images play a pivotal role, in the world of forest conservation for improving efficiency in different forest areas. The major goal of this research study is to identify current approaches, significant discov...
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Machine Learning is one of the most popular advancements in technology which is being widely used in various domains, including healthcare, avionics, automotive, business, education, etc. A Machine learning approach w...
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ISBN:
(纸本)9798350381689
Machine Learning is one of the most popular advancements in technology which is being widely used in various domains, including healthcare, avionics, automotive, business, education, etc. A Machine learning approach works by learning the required knowledge from the data to be supplied by a client system. In a typical scenario, a client entrusts a third-party agency to develop a machine learning application and shares the data to the developer to enable the development of a Machine learning application. This is badly affecting the privacy of data as a third-party is getting access to sensitive data from a client system. Therefore, an effective data encoding technique is required to ensure the privacy of sensitive data while enabling a third-party agency to develop a Machine learning application on the encoded data. Existing data masking/encoding techniques such as pseudonymization, anonymization and substitution are badly affecting the machine learning process as the modification they do for masking data is preventing a machine learning approach to learn the required knowledge. Another approach known in the literature is Fully Homomorphic Encryption. But, there is no tool available based on this technique which enables a client system to mask sensitive data before giving it to a third-party Machine Learning developer. We failed to obtain the expected outcome from an off-the-shelf Machine Learning classifier when we tried to classify a benchmark dataset masked using an available implementation of Fully Homomorphic Encryption. Since enough details about the implementation is not available, we could not find and fix the issues which is causing this problem. We propose a technique based on which we implemented a tool which provides an easy-to-use Graphical User Interface enabling the client to mask sensitive data before giving it to a third-party agency for developing a Machine Learning Application. Our tool enables a client to mask sensitive data through few mouse click
The proposed work addresses the escalating concern of crimes against women in contemporary society. This comprehensive endeavor employs a data-driven approach to tackle this critical issue. The primary objectives enco...
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Heart failure is one of the serious worldwide health issue which requires early identification and treatment. The paper offers an ensemble machine learning model that incorporates various patient variables, such as de...
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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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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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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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The rapid and diverse development of society has led to increased pressures on living conditions, education, and employment, resulting in significant psychological challenges. Addressing the importance of improving me...
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