DataSys 2023 Congress
June 26, 2023 to June 30, 2023 - Nice, Saint-Laurent-du-Var, France

  • AICT 2023, The Nineteenth Advanced International Conference on Telecommunications
  • ICIW 2023, The Eighteenth International Conference on Internet and Web Applications and Services
  • ICIMP 2023, The Eighteenth International Conference on Internet Monitoring and Protection
  • SMART 2023, The Twelfth International Conference on Smart Cities, Systems, Devices and Technologies
  • IMMM 2023, The Thirteenth International Conference on Advances in Information Mining and Management
  • INFOCOMP 2023, The Thirteenth International Conference on Advanced Communications and Computation
  • MOBILITY 2023, The Thirteenth International Conference on Mobile Services, Resources, and Users
  • SPWID 2023, The Ninth International Conference on Smart Portable, Wearable, Implantable and Disability-oriented Devices and Systems
  • ACCSE 2023, The Eighth International Conference on Advances in Computation, Communications and Services

ComputationWorld 2023 Congress
June 26, 2023 to June 30, 2023 - Nice, Saint-Laurent-du-Var, France

  • SERVICE COMPUTATION 2023, The Fifteenth International Conference on Advanced Service Computing
  • CLOUD COMPUTING 2023, The Fourteenth International Conference on Cloud Computing, GRIDs, and Virtualization
  • FUTURE COMPUTING 2023, The Fifteenth International Conference on Future Computational Technologies and Applications
  • COGNITIVE 2023, The Fifteenth International Conference on Advanced Cognitive Technologies and Applications
  • ADAPTIVE 2023, The Fifteenth International Conference on Adaptive and Self-Adaptive Systems and Applications
  • CONTENT 2023, The Fifteenth International Conference on Creative Content Technologies
  • PATTERNS 2023, The Fifteenth International Conference on Pervasive Patterns and Applications
  • COMPUTATION TOOLS 2023, The Fourteenth International Conference on Computational Logics, Algebras, Programming, Tools, and Benchmarking
  • BUSTECH 2023, The Thirteenth International Conference on Business Intelligence and Technology

NetWare 2023 Congress
September 25, 2023 to September 29, 2023 - Porto, Portugal

  • SENSORCOMM 2023, The Seventeenth International Conference on Sensor Technologies and Applications
  • SENSORDEVICES 2023, The Fourteenth International Conference on Sensor Device Technologies and Applications
  • SECURWARE 2023, The Seventeenth International Conference on Emerging Security Information, Systems and Technologies
  • AFIN 2023, The Fifteenth International Conference on Advances in Future Internet
  • CENICS 2023, The Sixteenth International Conference on Advances in Circuits, Electronics and Micro-electronics
  • ICQNM 2023, The Seventeenth International Conference on Quantum, Nano/Bio, and Micro Technologies
  • FASSI 2023, The Ninth International Conference on Fundamentals and Advances in Software Systems Integration
  • GREEN 2023, The Eighth International Conference on Green Communications, Computing and Technologies

NexTech 2023 Congress
September 25, 2023 to September 29, 2023 - Porto, Portugal

  • UBICOMM 2023, The Seventeenth International Conference on Mobile Ubiquitous Computing, Systems, Services and Technologies
  • ADVCOMP 2023, The Seventeenth International Conference on Advanced Engineering Computing and Applications in Sciences
  • SEMAPRO 2023, The Seventeenth International Conference on Advances in Semantic Processing
  • AMBIENT 2023, The Thirteenth International Conference on Ambient Computing, Applications, Services and Technologies
  • EMERGING 2023, The Fifteenth International Conference on Emerging Networks and Systems Intelligence
  • DATA ANALYTICS 2023, The Twelfth International Conference on Data Analytics
  • GLOBAL HEALTH 2023, The Twelfth International Conference on Global Health Challenges
  • CYBER 2023, The Eighth International Conference on Cyber-Technologies and Cyber-Systems

TrendNews 2023 Congress
September 25, 2023 to September 29, 2023 - Porto, Portugal

  • CORETA 2023, Advances on Core Technologies and Applications
  • DIGITAL 2023, Advances on Societal Digital Transformation

SocSys 2023 Congress
November 13, 2023 to November 17, 2023 - Valencia, Spain

SoftNet 2023 Congress
November 13, 2023 to November 17, 2023 - Valencia, Spain

  • ICSEA 2023, The Eighteenth International Conference on Software Engineering Advances
  • ICSNC 2023, The Eighteenth International Conference on Systems and Networks Communications
  • CENTRIC 2023, The Sixteenth International Conference on Advances in Human-oriented and Personalized Mechanisms, Technologies, and Services
  • VALID 2023, The Fifteenth International Conference on Advances in System Testing and Validation Lifecycle
  • SIMUL 2023, The Fifteenth International Conference on Advances in System Simulation
  • SOTICS 2023, The Thirteenth International Conference on Social Media Technologies, Communication, and Informatics
  • INNOV 2023, The Twelfth International Conference on Communications, Computation, Networks and Technologies
  • HEALTHINFO 2023, The Eighth International Conference on Informatics and Assistive Technologies for Health-Care, Medical Support and Wellbeing

IARIA Congress 2023, The 2023 IARIA Annual Congress on Frontiers in Science, Technology, Services, and Applications
November 13, 2023 to November 17, 2023 - Valencia, Spain

 

 

ThinkMind // ICAS 2023, The Nineteenth International Conference on Autonomic and Autonomous Systems // View article icas_2023_1_90_20043

Utilizing Continuous Kernels for Processing Irregularly and Inconsistently Sampled Data With Position-Dependent Features

Authors:
Birk Martin Magnussen
Claudius Stern
Bernhard Sick

Keywords: machine learning; neural nets; continuous kernel; irregularly sampled data; reflection spectroscopy

Abstract:
Continuous Kernels have been a recent development in convolutional neural networks. Such kernels are used to process data sampled at different resolutions as well as irregularly and inconsistently sampled data. Convolutional neural networks have the property of translational invariance (e.g., features are detected regardless of their position in the measurement domain), which is unsuitable for certain types of data, where the position of detected features is relevant. However, the capabilities of continuous kernels to process irregularly sampled data are still desired. This article introduces a novel method utilizing continuous kernels for detecting global features at absolute positions in the data domain. Through a use case in processing multiple spatially resolved reflection spectroscopy data, which is sampled irregularly and inconsistently, we show that the proposed method is capable of processing such data natively without additional preprocessing as is needed using comparable methods. In addition, we show that the proposed method is able to achieve a higher prediction accuracy than a comparable network on a dataset with position-dependent features. Furthermore, a higher robustness to missing data compared to a benchmark network using data interpolation is observed, which allows the network to adapt to sensors with individual failed components without the need for retraining.

Pages: 49 to 53

Copyright: Copyright (c) IARIA, 2023

Publication date: March 13, 2023

Published in: conference

ISSN: 2308-3913

ISBN: 978-1-68558-053-7

Location: Barcelona, Spain

Dates: from March 13, 2023 to March 17, 2023

SERVICES CONTACT
2010 - 2022 © ThinkMind. All rights reserved.
Read Terms of Service and Privacy Policy.