Biometric patterns have been used for authentication purposes for more than decades. Although traditional biometric measurements including fingerprints, facial recognition, and sound recognition are often used for aut...
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Addressing the challenge of manually analyzing nanoparticle characteristics, such as size and shape, researchers have increasingly turned to deep learning methodologies. This research paper introduces a novel approach...
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In the context of Disaster Resilience Systems(DRS), where data integrity and availability are paramount, cloud storage plays a crucial role. However, security concerns persist, necessitating innovative approaches. In ...
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Globally, lung cancer is the leading cause of cancer-related deaths. Improving survival depends on early and precise identification, which is still mostly accomplished using antiquated techniques that are frequently i...
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Consumer segmentation is essential for accurate targeting and successful marketing efforts in today’s competitive business environment. Modern marketing groups individuals by interests and attributes. Segmentation dr...
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Heart diseases, collectively known as cardiovascular diseases (CVDs), remain one of the foremost health challenges across the globe, taking millions of lives each year. This study evaluates the effectiveness of Multil...
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Animal guardians frequently face the challenge of ensuring that the animals under their care receive timely and adequate nourishment when they are away from home for some period of time. Leaving food in a bowl may res...
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Images are essential for communicating ideas, feelings, and narratives in the era of digital media and content consumption. computers to produce textual data for an image that replaces humans. Image captioning is a fa...
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Alzheimer’s disease (AD) is a form of dementia that diminishes a patient’s cognition and memory. By predicting AD progression early, physicians can begin medication that may reduce the disease’s progression. AD det...
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The drug deals with every living organism on the earth, for classification of drugs based on their action is an important element in drug development. This research paper presents a machine learning model that predict...
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