Based on the recent partnership data as available in authentic database, optimum batting order of various batters is evaluated using Ant Colony Optimization technique. Assuming batters as nodes of ant system and partn...
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The aim of the project is to compare the performance of four different machine learning algorithms for breast cancer prediction such as decision tree, logistic regression, XG boost, and CAT boost. We used a dataset of...
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Education is evolving a fast. After Covid-19 many different ways are introduced to students to learn and grow. Digital Platforms are booming in this era of self-learning. Educational data mining (EDM) gives the knowle...
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Cryptography is used by all organizations to protect the data files and ensures confidentiality mainly at the time of sharing and storing in the cloud data storage. The cloud service providers use a wide range of tool...
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Cognitive health issues in the aging global population need innovative technologies. A Raspberry Pi-implemented SVM classifier, cognitive computing, and cloud connection provide a new elderly stress analysis method. A...
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Considering the fact that the test case runs abnormally and the test case execution fails during the development and debugging of the 5G terminal protocol conformance test system. Here useful approach is implemented b...
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The proposed study realizes a novel quantum machine learning (QML) architecture that allows heuristic function evaluation and can actually perform quantum circuits during massive data processing. The Quantum-Circuit f...
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Federated learning has emerged as a promising technique in machine learning, enabling collaborative training across distributed datasets. Particularly in fields like healthcare, where data privacy is paramount, federa...
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In the research work, the examination of concealing algorithms, extraction algorithms, carrier multimedia file, and other security parameters has been done for two steganography tools. From the experimental results, w...
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In modern times, large amounts of data with diverse characteristics, such as volume, variety, etc., are generated daily. For enterprises such as E-commerce, which is escalating nowadays, massive amounts of unstructure...
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