Quorum sensing (QS) mimickers can be used as an effective tool to disrupt biofilms which consist of communicating bacteria and extracellular polymeric substances (EPS). In this paper, a stochastic biofilm disruption m...
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Current cloud-based systems face the challenge of managing storage and eliminating redundant data associated with the exponentially growing multimedia content, where numerous semantically similar but nonidentical file...
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The heart is indispensable for body. Diagnosis of heart disease must be complete and accurate. Heart disease is a dangerous disease. This disease is caused by many problems such as excessive stress, diabetes, high blo...
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In recent years, the integration of sentiment analysis into financial markets has gained considerable attention, particularly through the use of machine learning and deep learning techniques. This survey explores the ...
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Fungal infections at the skin of puppies, including dermatophytosis, are commonplace and pose great health dangers to each the animals and their proprietors. Although these infections do no longer affect human skin im...
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In sparse-angle X-ray tomography, CT images possess significant noise and artifacts in reconstruction. An important image reconstruction research effort in this area aims to remove these artifacts while preserving ima...
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Cloud computing provides scalable and adaptable infrastructure however is significantly susceptible to cyber-attacks. This work presents a hybrid methodology that integrates the GOA and GA for feature selection, along...
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Wireless Sensor Network (WSN) is a contemporary topic of research that has proven to be an advantageous technology for a wide variety of applications, including those dealing with the environment, the military, and he...
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Currently, the overcrowding of unlicensed spectrum bands is causing severe interference to IoT devices embedded with sensors. CR-IoT networks apply cognitive radio capabilities to the internet of things to solve the s...
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作者:
Venkata Lavanya, T.Sivaraman, K.
Department of Computer Science and Engineering Tamil Nadu Chennai India
Dept of Computer Science and Engineering Tamil Nadu Chennai600073 India
The paper aims to establish a robust machine learning approach for accurately categorizing the level of physical activity based on data collected from wearable sensors. Data from more than 10,000 participants was gath...
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