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Sunil kumar Telagamsetti

Associate Professor

University of Gävle

Sweden

Research Interests

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About

Sunil Kumar Telagamsetti is an Associate Professor at the University of Gävle, Sweden. His research focuses on advanced materials, including the development of rubber-sand composites and nanoporous gold systems, as well as innovative applications in signal processing and machine learning for real-time monitoring. Additionally, he explores the use of technologies such as MRI and EEG for medical diagnostics, contributing to various interdisciplinary fields.

Articles (16)

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2025

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2023

Collaborators (4)

Hans Hallez

Assistant Professor

KU Leuven

BELGIUM

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Mohit H

Assistant Professor

Alliance University

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Chandrasekar Muthukumar

Associate Professor

Vel Tech University

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Varagunapandiyan Natarajan

Associate Professor

king khalid university

SAUDI ARABIA

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Sunil kumar Telagamsetti

Research Interests

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About

Articles (16)

Data discretization impact on deep learning for missing value imputation of continuous data

Analysis of the thermal properties in short sansevieria cylindrica fibre/PLA composites processed by twin screw extruder followed by hot press molding technique

Development of rubber-sand composite for enhanced impact resistance: Implications of vulcanization

Doping effects on mechanical properties of nanoporous gold systems

Enhancing brain tumor detection in MRI with a rotation invariant Vision Transformer

Enhancing energy absorption in rubber-sand (Ru-San) composite blocks against ballistic impact: a multi-objective optimisation approach

Gabor filter-based statistical features for ADHD detection

Influence of sea sand reinforcement on the static and dynamic properties of functionally graded epoxy composites

Robust nuclei segmentation with encoder-decoder network from the histopathological images

Eat-Radar: Continuous Fine-Grained Intake Gesture Detection Using FMCW Radar and 3D Temporal Convolutional Network With Attention

Eating Speed Measurement Using Wrist-Worn IMU Sensors Towards Free-Living Environments

Determining the Moisture Content of Wood Chips in Inline Industry Applications Using UWB Radio Transmission Signals and Machine Learning

Experimental and numerical investigation on low-velocity impact response of sandwich structure with functionally graded core

Feasibility of Meal Onset Detection Using Electrocardiograms

Novel entropy difference-based EEG channel selection technique for automated detection of ADHD

Evaluation of Different Radar Placements for Food Intake Monitoring Using Deep Learning

Collaborators (4)

Hans Hallez

Mohit H

Chandrasekar Muthukumar

Varagunapandiyan Natarajan

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