作者：
Kalaichelvi, S.Mohankumar, N.Uthayakumar, C.Barkathulla, A.Manojee, K.S.Murugan, S.
Department of Computer Science and Applications Tamil Nadu Tiruchengode India
Nagpur Campus Pune India Vivekanandha College of Engineering for Women
Department of Electronics and Communication Engineering Tamil Nadu Namakkal Tiruchengode India School of Computing
Vel Tech Rangarajan Dr. Sagunthala R&d Institute of Science and Technology Avadi Department of Computer Science and Engineering Tamil Nadu Chennai India
Department of Information Technology Tamil Nadu Trichy India Saveetha School of Engineering
Saveetha Institute of Medical and Technical Sciences Saveetha University Department of Biomedical Engineering Tamil Nadu Chennai India
Improving patient outcomes and operational efficiency in intensive care units (ICUs) relies heavily on efficient resource management. This work presents a novel LSTM-based methodology for real-time optimization of ICU...
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The extended reality (XR) provides realistic depth perception and huge visualization spaces, which can serve as a powerful workspace for 3D data exploration and analysis. However, a direct adaptation of XR to conventi...
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ISBN:
(纸本)9781665484022
The extended reality (XR) provides realistic depth perception and huge visualization spaces, which can serve as a powerful workspace for 3D data exploration and analysis. However, a direct adaptation of XR to conventional 3D data exploration tasks is less feasible due to several hardware limitations, such as low screen resolution, dizziness, narrow field of view, etc. In this paper, we propose a novel mixed reality visualization scheme, HoloInset, which combines a conventional visual analytics system and a virtual environment to effectively explore 3D biomedical image data. We also demonstrate the usability of the proposed visualization through a real-world analysis case.
Nowadays, Sitting is one of the frequent activities of humans. particularly with the rise of office work, which is leading to an increase in the sitting periods for many individuals. Research highlights the importance...
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For more than a century, speech and audio processing have been essential components of entertainment and telecommunication systems. The content of recorded sound signals can be examined, understood, and interpreted by...
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This research provides a revolutionary artificial intelligence (AI) and cloud-based system for assessing the severity of sports injuries in real time and tracking healing progress. The objective is to develop an AI an...
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Photoplethysmography (PPG) has emerged as a promising technology for wearable personal healthcare due to its non-invasive and cost-effective nature. However, owing to the vulnerability to various noise, the useful PPG...
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Spiral waves can occur in excitable media, including cardiac tissue, and can be single or coupled;the latter have not been studied enough so far. The present paper explores the interaction between coupled spiral waves...
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The reliable and cost-effective monitoring of critical infrastructure, such as oil pipelines, is essential for addressing operational challenges, economic losses, and environmental risks caused by issues like blockage...
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ISBN:
(数字)9798331518523
ISBN:
(纸本)9798331518530
The reliable and cost-effective monitoring of critical infrastructure, such as oil pipelines, is essential for addressing operational challenges, economic losses, and environmental risks caused by issues like blockages, leaks, and temperature fluctuations. There is a growing need for comprehensive, scalable monitoring solutions with predictive capabilities. Advances in wireless communication and IoT platforms have enabled wireless sensor networks to provide continuous data collection and transmission across large areas, enhancing operational efficiency and safety. This paper presents a novel architecture for long-range monitoring of pipeline flow and temperature via wireless communication. The system facilitates real-time data collection, storage, and cloud-based visualization, allowing operators to detect abnormalities, prevent disruptions, and improve the reliability of oil transportation.
The proceedings contain 404 papers. The topics discussed include: sensitivity assessment of human body fluids through PCF-based plasmonic biosensor for biomedical applications;a review on multi-focus image fusion tech...
ISBN:
(纸本)9798350398267
The proceedings contain 404 papers. The topics discussed include: sensitivity assessment of human body fluids through PCF-based plasmonic biosensor for biomedical applications;a review on multi-focus image fusion techniques in surveillance applications for image quality enhancement;aspect analysis and visualization of Indian unicorns;a machine learning approach to analyze cloud computing attacks;predicting ratings of trending YouTube videos using machine learning;a review of emotion detection systems;aspect analysis based on statistical description and visualization of data;a structured investigation of network security strategies and its applications;a critical analysis on neural networks and deep learning based techniques for the cloud computing system and its impact on industrial management;internet of things and machine learning based intelligent irrigation system for agriculture;a comprehensive description of artificial intelligence techniques in financial market;and blockchain-based trust management system in implementation in social Internet of things.
Visualizing biomedical ontologies is an ongoing and highly relevant challenge in dealing with the vast volume of daily data and the miscellaneous use cases of ontologies. BioPortal is the most well-known tool for visu...
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