hemant ghayvat

Senior Lecturer

Sweden

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Dr. Hemant Ghayvat is a Senior Lecturer at Linneuniversitetet Institutionen för pedagogik in Sweden. His research interests focus on innovative technologies for healthcare, including AI applications, multimodal biometric systems, and predictive modeling in health informatics. Recent publications include work on AIoMT-enabled solutions, smart aging monitoring, and advanced data fusion techniques to enhance healthcare outcomes.

Articles (10)

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2025

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2024

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2023

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2023

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2023

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2023

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2023

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2022

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2022

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2021

Collaborators (3)

Sharnil Pandya

Linnaeus University

SWEDEN

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Haibo Zhang

Associate Professor

University of Otago

NEW ZEALAND

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Marcelo Milrad

Professor

SWEDEN

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hemant ghayvat

Research Interests

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Articles (10)

Timezone-Aware Auto-Regressive Long Short-Term Memory Model for Multipollutant Prediction

Digitally Enhanced Home to the Village: AIoMT-Enabled Multisource Data Fusion and Power-Efficient Sustainable Computing

EEG-CLNet: Collaborative Learning for Simultaneous Measurement of Sleep Stages and OSA Events Based on Single EEG Signal

FIMBISAE: A Multimodal Biometric Secured Data Access Framework for Internet of Medical Things Ecosystem

COUNTERSAVIOR: AIoMT and IIoT-Enabled Adaptive Virus Outbreak Discovery Framework for Healthcare Informatics

STRENUOUS: Edge-Line Computing, AI, and IIoT Enabled GPS Spatiotemporal Data-Based Meta-Transmission Healthcare Ecosystem for Virus Outbreaks Discovery

Healthcare-CT: SoLiD PoD and Blockchain-Enabled Cyber Twin Approach for Healthcare 5.0 Ecosystems

SHARIF: Solid Pod-Based Secured Healthcare Information Storage and Exchange Solution in Internet of Things

A Simple Fabrication, Low Noise, Capacitive Tactile Sensor for Use in Inexpensive and Smart Healthcare Systems

Smart aging monitoring and early dementia recognition (SAMEDR): uncovering the hidden wellness parameter for preventive well-being monitoring to categorize cognitive impairment and dementia in community-dwelling elderly subjects through AI

Collaborators (3)

Sharnil Pandya

Haibo Zhang

Marcelo Milrad

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