Výsledky vyhledávání - "sensor data fusion"

A deep learning based sensor fusion method to diagnose tightening errors

Autoři: Tang, Lifei Feng, Lei Axelsson, Toni a další

Zdroj: TECoSA Journal of manufacturing systems. 71:59-69

Témata: Tightening error diagnosing, Smart manufacturing, Deep learning, CNN, Sensor data fusion, Multi-label classification, Datalogi, Computer Science, Industriella informations- och styrsystem, Industrial Information and Control Systems, Production Engineering, Industriell produktion

Popis souboru: print

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-336587
https://doi.org/10.1016/j.jmsy.2023.08.015

Enhanced Selectivity Electronic Nose Systems for Agricultural Ammonia Gas Detection via a co-designed WO3-ZnO Sensor Array and Convolutional Neural Networks

Autoři: Mengying Du Mukhtar Iderawumi Abdulraheem Lulu Xu a další

Zdroj: Scientific Reports, Vol 15, Iss 1, Pp 1-19 (2025)

Témata: Ammonia gas sensor, Electronic nose (E-nose), Metal-oxide semiconductor, Convolutional neutral network (CNN), Sensor data fusion, Agricultural emission monitoring, Medicine, Science

Popis souboru: electronic resource

Relation: https://doaj.org/toc/2045-2322

Přístupová URL adresa: https://doaj.org/article/c6f3e23d0df14b189b46169ba8878388

Hochgenaue und robuste odometriebasierte Lokalisierung in einem Parkvorgang

Autoři: Brunker, Alexander

Témata: Fahrzeugtechnik, filter algorithms, Filteralgorithmen, multi-sensor data fusion, Multisensordatenfusion, Optimierung, optimization, parking systems, Parksysteme, Vehicle technology, Mechanical engineering and materials

Popis souboru: application/pdf

Relation: Karlsruher Schriftenreihe Fahrzeugsystemtechnik

Přístupová URL adresa: https://library.oapen.org/handle/20.500.12657/106179

Enhanced Force Estimation and Autonomous Force Tuning Through Fusion of Tactile Sensor and Quasi-Direct Drive Gripper

Autoři: Thomas De Clercq Frederik Ostyn Guillaume Crevecoeur

Zdroj: IEEE SENSORS JOURNAL

Témata: Sensor fusion, Technology and Engineering, Grasping, Sensors, sensor data fusion, smart sensor-actuators, Grippers, Multiple-sensor systems, Tactile sensors, Robot sensing systems, Robots, Gears, Force, Accuracy

Popis souboru: application/pdf

Přístupová URL adresa: https://biblio.ugent.be/publication/01JKD4N99V1DBQVB4935PMZ3MF/file/01JVRW5YEMZP119WMTDPTGJQ5P
http://doi.org/10.1109/jsen.2024.3504717
https://biblio.ugent.be/publication/01JKD4N99V1DBQVB4935PMZ3MF
http://hdl.handle.net/1854/LU-01JKD4N99V1DBQVB4935PMZ3MF

Enhancing smart tightening diagnosis: A transformer-based approach with sensor fusion, self-supervised learning and data augmentation

Autoři: Tang, Lifei Wilkman, Dennis Feng, Lei a další

Zdroj: TECoSA XPRESS – Initiative for excellence in production research Applied Soft Computing. 181:113409

Témata: Tightening result diagnosing, Smart manufacturing, Deep learning, Transformer, Sensor data fusion, Multi-label classification, Data augmentation, Augmentation scheduling, Supervised learning, Self-supervised learning, Production Engineering, Industriell produktion, Datalogi, Computer Science

Popis souboru: print

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-364872
https://doi.org/10.1016/j.asoc.2025.113409

Real-Time Monitoring of Chlorate Concentrations, Integrating Electrochemistry Modeling, and Kalman Filtering

Autoři: Ross, Edwin A. Wagterveld, Martijn Stigter, Hans D. a další

Zdroj: IEEE Transactions on Industrial Informatics. :1-8

Témata: monitoring, electrochlorination, Chlorate, soft sensor, sensor data fusion (SDF)

Přístupová URL adresa: https://research.wur.nl/en/publications/real-time-monitoring-of-chlorate-concentrations-integrating-elect
https://doi.org/10.1109/tii.2025.3593963

Simultaneous Localization and Mapping for Indoor Mobile Robots Using Synthetic Aperture Radar Images

Autoři: Yuma Elia Ritterbusch Johannes Fink Christian Waldschmidt

Zdroj: IEEE Journal of Indoor and Seamless Positioning and Navigation, Vol 3, Pp 1-12 (2025)

Témata: radar imaging, simultaneous localization and mapping (SLAM), sensor data fusion, Telecommunication, TK5101-6720, synthetic aperture radar (SAR), Automotive radar

Přístupová URL adresa: https://doaj.org/article/b4a8991739ee45eab13df4b6045f43e1

A lightweight algorithm for synchronized multimodal data acquisition using temporal sample alignment

Autoři: Jacek Piatkowski Lukasz Karbowiak Filip Depta

Zdroj: Scientific Reports, Vol 15, Iss 1, Pp 1-14 (2025)

Témata: Multi-sensor data fusion, Data synchronization, Synchronized data acquisition, Alignment algorithm, Medicine, Science

Popis souboru: electronic resource

Relation: https://doaj.org/toc/2045-2322

Přístupová URL adresa: https://doaj.org/article/f9dc93ef90424d4199fea6216085e7a9

Sensor fusion and convolutional neural networks for indoor occupancy prediction using multiple low-cost low-resolution heat sensor data

Autoři: Arvidsson, Simon Gullstrand, Marcus Sirmacek, Beril a další

Zdroj: Sensors. 21(4):1-21

Témata: Artificial intelligence (AI), Heat sensors, Machine learning, Multi-sensor, Neural networks, Occupancy prediction, Sensor fusion, Smart offices, Air conditioning, Convolution, Costs, Data handling, Energy conservation, Energy utilization, Forecasting, Intelligent buildings, Sensor data fusion, Ventilation, Activity informations, High resolution sensors, Low resolution, Occupancy predictions, Privacy concerns, Realtime processing, Reduce energy consumption, Ventilation systems, Convolutional neural networks

Popis souboru: print

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-51845
https://doi.org/10.3390/s21041036

IoT-Based Advanced Smart Home Surveillance and Automation System

Autoři: Sujit Goswami Intekhab Hussain Sumanta Karmakar a další

Témata: Internet of things (IoT), multi-sensor data fusion, actuation, Wi-Fi connection, industry 4.0, automation

UKF SLAM-Enhanced Perception and Navigation for Effective Area Coverage in Autonomous Driving

Autoři: Mailka, Hamza Abouzahir, Mohamed Ramzi, Mustapha a další

Přispěvatelé: Mailka, Hamza Abouzahir, Mohamed Ramzi, Mustapha a další

Zdroj: 2024 IEEE International Conference on Sensing, Diagnostics, Prognostics, and Control (SDPC). :200-205

Témata: Multi-sensor data fusion, Simultaneous Localization and Mapping (SLAM), Outdoor and Indoor navigation, [INFO.INFO-RB] Computer Science [cs]/Robotics [cs.RO], Autonomous driving, Unscented Kalman Filter

Automated Reporting for Flight Tests: Enhancing Efficiency with AI and Digital Twin Technology

Autoři: von Depka Prondzinski, Martin Arts, Emy Pätzold, Christina a další

Témata: Digital Twin, Automatisierte Berichtserstellung, Effizienzsteigerung im Flugversuch, Sensor Data Fusion, Flugtestdatenanalyse, AI-gestützte Auswertung

Přístupová URL adresa: https://elib.dlr.de/215038/

Design of an intelligent assisted driving system for underground trackless rubber-tired vehicles based on multi-sensor data fusion

Autoři: Wei LI Fei MENG Yu WANG a další

Zdroj: Meikuang Anquan, Vol 56, Iss 4, Pp 203-212 (2025)

Témata: underground rubber-tyred trackless vehicle, assisted driving, multi-sensor data fusion, intelligent warning, driver behavior monitoring, Mining engineering. Metallurgy, TN1-997

Popis souboru: electronic resource

Relation: https://doaj.org/toc/1003-496X

Přístupová URL adresa: https://doaj.org/article/e7642e715fcc4ceaa607f93995e97791

Enhancing safe mobility through V2V communication: a focus on short-range performance with UWB

Autoři: Rolen Lionel Rodrigues K. V. Santhosh

Zdroj: Discover Applied Sciences, Vol 7, Iss 5, Pp 1-14 (2025)

Témata: V2V communication, Collision avoidance, DSRC, Ultra-wideband (UWB), Cellular V2X, Sensor data fusion, Science (General), Q1-390

Popis souboru: electronic resource

Relation: https://doaj.org/toc/3004-9261

Přístupová URL adresa: https://doaj.org/article/581528c347c34d14b5455bfb853dcfd9

Multi-Sensor Data Fusion for Improved Estimation and Prediction of Physical Quantities

Autoři: Hussain, Mazhar Lundgren, Jan O'Nils, Mattias a další

Přispěvatelé: Hussain, Mazhar Lundgren, Jan O'Nils, Mattias a další

Zdroj: Mid Sweden University doctoral thesis.

Témata: Sensor data fusion, Deep learning, Machine learning, Deep learning based data fusion, Smart sensing

Popis souboru: electronic

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-53886
https://miun.diva-portal.org/smash/get/diva2:1941187/FULLTEXT01.pdf

Advances and frontiers of key technologies in intelligent navigation for unmanned surface vehicles

Autoři: Jiankun LOU Mengyuan XU Lin YUE a další

Zdroj: Zhongguo Jianchuan Yanjiu, Vol 20, Iss 1, Pp 3-14 (2025)

Témata: unmanned vehicles, environment perception, sensor data fusion, decision-making and planning, motion control, motion planning, large models, Naval architecture. Shipbuilding. Marine engineering, VM1-989

Popis souboru: electronic resource

Relation: https://doaj.org/toc/1673-3185

Přístupová URL adresa: https://doaj.org/article/98ef6d3ce7844745b05bc23b69a6981a

Development of a Field Laboratory for Testing Magnetically Aided Navigation

Autoři: Arie Sheinker Michael Maidanik Boris Ginzburg a další

Zdroj: IEEE Access, Vol 13, Pp 183200-183208 (2025)

Témata: Geomagnetic navigation, inertial sensor unit (IMU), magnetic sensor, magnetic maps, sensor data fusion, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

Popis souboru: electronic resource

Relation: https://ieeexplore.ieee.org/document/11207620/; https://doaj.org/toc/2169-3536

Přístupová URL adresa: https://doaj.org/article/f366520ccd194abaa0a3708a501f8393

High-Accuracy Mapping of Coastal and Wetland Areas Using Multisensor Data Fusion and Deep Feature Learning

Autoři: Shumin Han Runhong Gao Liaqat Ali Waseem a další

Zdroj: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 18, Pp 24546-24559 (2025)

Témata: Coastal mapping, deep learning, high-resolution satellite imagery, mobilenetv2, multi-sensor data fusion, random forest (RF), Ocean engineering, TC1501-1800, Geophysics. Cosmic physics, QC801-809

Popis souboru: electronic resource

Relation: https://ieeexplore.ieee.org/document/11151722/; https://doaj.org/toc/1939-1404; https://doaj.org/toc/2151-1535

Přístupová URL adresa: https://doaj.org/article/8ebae9292cdc4c9a9012e87c6b364e2a

ACI-GNN: Lightweight All-Channel Interaction Graph Neural Network for Multi-Sensor Coal-Rock Cutting Recognition

Autoři: Zhixin Jin Jie Cheng Wenyan Cao a další

Zdroj: Sensors, Vol 25, Iss 22, p 6820 (2025)

Témata: convolutional neural network (CNN), coal-rock recognition (CRR), all-channel interaction (ACI), multi-sensor data fusion, Chemical technology, TP1-1185

Popis souboru: electronic resource

Relation: https://www.mdpi.com/1424-8220/25/22/6820; https://doaj.org/toc/1424-8220

Přístupová URL adresa: https://doaj.org/article/dcbb99186e8847da8f7cf839fde7a55d

Multi-Sensor Recursive EM Algorithm for Robust Identification of ARX Models

Autoři: Xin Chen Jiale Li

Zdroj: Sensors, Vol 25, Iss 22, p 7060 (2025)

Témata: robust system identification, multi-sensor data fusion, ARX model, recursive EM algorithm, student’s t-distribution, Chemical technology, TP1-1185

Popis souboru: electronic resource

Relation: https://www.mdpi.com/1424-8220/25/22/7060; https://doaj.org/toc/1424-8220

Přístupová URL adresa: https://doaj.org/article/15a4bda86fe347c09f1e00188e2bdc0e