Machine learning algorithms always perform well to solve real-life problems encountered in daily life. Due to large data sets, analysis is also becoming too complex to predict anything. A lot of calculations are being...
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Information technology is emerging at fast phase in present environment. The main concerns for a cyber-attack are Privacy and Security. New malwares are increasing at a very fast rate, according to studies. The war be...
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In recent years, blockchain technology is found to be the most significant discovery in this digital era, after the discovery of the Internet and Cloud Computing. Blockchain is a simple, distributed public ledger that...
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The root cause of death for women is breast cancer. Early detection is essential for rectifying cancer. In this study, we explored the use of machine learning models for predicting breast cancer. We evaluated logistic...
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Slicing programs is an essential aspect of program development and maintenance. Because numerous statements might be discarded in the procedure of locating a bug, dynamic program slicing approaches are commonly utiliz...
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In today's educational landscape, resource sharing across different sites is crucial. This research study explores the implementation of Dynamic Host Configuration Protocol (DHCP) relay agents to enhance inter-cam...
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Non-automated segmentation of brain tumors from the MRI images is a tedious task, which may sometimes produce inaccurate results. Therefore, the accuracy and reliability of brain tumor segmentation is also key to deci...
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Rice, an essential crop for global food security, faces significant threats from diseases that impact both yields and economic stability. While traditional methods like SVM, KNN, and CNNs have contributed to disease d...
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Stock price prediction is the methodology of predicting the future value of a company stock. It is strenuous task to buy stock or invest in set of goods/assets;the financial market’s fast transformation makes it very...
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Deep multi-view clustering (MVC) has recently gained significant interest for its capability to harness complementary information across multiple views through deep neural networks, enhancing clustering performance. H...
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