Výsledky vyhledávání - fusion data‐driven algorithm~

Big Data-driven Digital Twin and Spatial Computing Technologies, Artificial Intelligence Robotic and Multi-Sensor Fusion Systems, and Deep Learning-based Image Processing and Augmented Reality Algorithms in Sustainable Smart Cities

Autoři: Nica, Elvira Hysa, Eglantina Bîgu, Ana-Mădălina a další

Zdroj: Geopolitics, History, and International Relations, 2024 Jan 01. 16(1), 98-112.

Přístupová URL adresa: https://www.jstor.org/stable/48813033

Visual Analytics and Digital Twin Modeling Tools, Spatio-Temporal Fusion and Predictive Modeling Algorithms, and Deep Learning-based Sensing and Image Recognition Technologies in Data-driven Smart Sustainable Cities and Immersive Multisensory Virtual Spaces

Autoři: Poliak, Milos Poliakova, Adela Crîşmariu, Oana-Diana a další

Zdroj: Geopolitics, History, and International Relations, 2023 Jan 01. 15(1), 91-105.

Přístupová URL adresa: https://www.jstor.org/stable/48770185

Perspective on Theoretical Modeling of Soft Molecular Machines and Devices: A Fusion of Data‐Driven Approaches with Traditional Computational Chemistry Algorithms

Autoři: Costantino Zazza Nico Sanna Stefano Borocci a další

Zdroj: ChemistryOpen.

A Hybrid Data-driven Approach Integrating Temporal Fusion Transformer and Soft Actor-critic Algorithm for Optimal Scheduling of Building Integrated Energy Systems

Autoři: Ze Hu Peijun Zheng Ka Wing Chan a další

Zdroj: Journal of Modern Power Systems and Clean Energy. 13:878-891

Global Ionospheric Tomography Based on Data-Driven Fusion Algorithm Using GNSS

Autoři: Yun Sui Haiyang Fu Feng Xu a další

Zdroj: IEEE Geoscience and Remote Sensing Letters. 21:1-5

Unmanned Aerial Vehicle (UAV) Data-Driven Modeling Software with Integrated 9-Axis IMU-GPS Sensor Fusion and Data Filtering Algorithm

Autoři: Arfakhsyad, Azfar Azdi Rahman, Aufa Nasywa Kinanti, Larasati a další

Zdroj: 2023 15th International Conference on Information Technology and Electrical Engineering (ICITEE). :167-173

Témata: FOS: Computer and information sciences, FOS: Electrical engineering, electronic engineering, information engineering, Robotics, Systems and Control (eess.SY), Robotics (cs.RO), Systems and Control

Přístupová URL adresa: http://arxiv.org/abs/2507.09464

Multi-Source Data-Driven Terrestrial Multi-Algorithm Fusion Path Planning Technology

Autoři: Xiao Ji Peng Liu Meng Zhang a další

Zdroj: Sensors (Basel)
Sensors, Vol 25, Iss 12, p 3595 (2025)

Témata: path planning algorithms, deep reinforcement learning, Chemical technology, multi-source data, dynamic decision making, TP1-1185, A* algorithm optimization, Article

Přístupová URL adresa: https://doaj.org/article/334a0409cd9644d2ada24adc4444fcdb

Data‐driven approach for estimating longitudinal aerodynamic parameters using neural artificial bee colony fusion algorithm

Autoři: Prashant Kumar Sarvesh Kumar Sonkar Riya Catherine George a další

Zdroj: Asian Journal of Control. 27:76-98

Témata: 0203 mechanical engineering, 0211 other engineering and technologies, 02 engineering and technology

Improving Real-Time Aerial 3D Reconstruction: Towards Fusion of a Hand-Crafted SfM Algorithm with a Data-Driven Deep Neural Network

Autoři: Jack Akers Andrew Buck Derek Anderson a další

Zdroj: 2023 IEEE Applied Imagery Pattern Recognition Workshop (AIPR). :1-8

A model-driven and data-driven fusion prediction algorithm for the fire source location of an underground pipe gallery based on ant colony optimization

Autoři: Bin Sun

Zdroj: Measurement Science and Technology. 36:046314

A data-driven adaptive algorithm and decision support design of multisensory information fusion for prognostics and health management applications

Autoři: Tingli Xie Xufeng Huang Hyung Wook Park a další

Zdroj: Journal of Engineering Design. 34:158-179

Témata: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

EEG emotion recognition based on data-driven signal auto-segmentation and feature fusion

Autoři: Yunyuan, Gao Zehao, Zhu Feng, Fang a další

Zdroj: Journal of Affective Disorders. 361:356-366

Témata: Adult, Male, Young Adult, Support Vector Machine, Brain-Computer Interfaces, Emotions, Humans, Brain, Electroencephalography, Female, Signal Processing, Computer-Assisted, Algorithms

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/38885847

A Data-Driven Inertial Navigation/Bluetooth Fusion Algorithm for Indoor Localization

Autoři: Jianfan Chen Baoding Zhou Shaoqian Bao a další

Zdroj: IEEE Sensors Journal. 22:5288-5301

Témata: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Přístupová URL adresa: https://ieeexplore.ieee.org/document/9455358

Data-driven simulation of aero-engine rotor assembly process optimization for unbalance based on fusion algorithm

Autoři: Haitao Xu Jie Gao Jinan Wen a další

Zdroj: Aerospace Science and Technology. 158:109874

Data-driven optimisation of process parameters for reducing developed surface area ratio in laser powder bed fusion.

Autoři: Qin, Yuchu Shi, Peizhi Lou, Shan a další

Zdroj: International Journal of Advanced Manufacturing Technology. Feb2025, Vol. 136 Issue 7/8, p3821-3831. 11p.

Témata: *MACHINE learning, *OPTIMIZATION algorithms, *SURFACE area, *GENETIC algorithms, *REGRESSION analysis

Censorship data-driven DNS resolution anomaly detection: An ensemble algorithm model with multivariate feature fusion

Autoři: Chao Li Yanan Cheng Zhaoxin Zhang a další

Zdroj: Computer Networks. 252:110669

Data-driven engineering framework with AI algorithm of Ginkgo Folium tablets manufacturing

Autoři: Lijuan Ma Jing Zhang Ling Lin a další

Zdroj: Acta Pharm Sin B
Acta Pharmaceutica Sinica B, Vol 13, Iss 5, Pp 2188-2201 (2023)

Témata: 0301 basic medicine, Artificial intelligence, 0303 health sciences, 03 medical and health sciences, Process capability index, Data-driven engineering, End-to-end, Smart manufacturing, Original Article, Therapeutics. Pharmacology, RM1-950, Information fusion

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/37250167
https://doaj.org/article/0915483f23694a269eeffeab23e33a0c

A Deep Learning Algorithm for Multi-Source Data Fusion to Predict Effluent Quality of Wastewater Treatment Plant

Autoři: Shitao Zhang Jiafei Cao Yang Gao a další

Zdroj: Toxics
Toxics, Vol 13, Iss 5, p 349 (2025)

Témata: industrial effluent treatment plant, Chemical technology, data-driven, deep learning, effluent prediction, TP1-1185, sustainability, multi-source data fusion, Article

Přístupová URL adresa: https://doaj.org/article/768dfbdc1c3e466485c292221a399fcd

State of health estimation for lithium-ion batteries under arbitrary usage using data-driven multi-model fusion

Autoři: Zhang, Yizhou Wik, Torsten Bergström, John a další

Zdroj: Datadriven prediktion av batteriåldring IEEE Transactions on Transportation Electrification. 10(1):1494-1507

Témata: Battery capacity estimation, Kalman filter, Machine learning, Multi-model fusion, SoH estimation

Popis souboru: electronic

Přístupová URL adresa: https://research.chalmers.se/publication/535601
https://research.chalmers.se/publication/535446
https://research.chalmers.se/publication/535601/file/535601_Fulltext.pdf

Safety in the Face of Unknown Unknowns: Algorithm Fusion in Data-driven Engineering Systems

Autoři: Nina Kshetry Lav R. Varshney

Zdroj: ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). :8162-8166

Témata: 11. Sustainability, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 6. Clean water, 12. Responsible consumption

Přístupová URL adresa: https://dblp.uni-trier.de/db/conf/icassp/icassp2019.html#KshetryV19
https://experts.illinois.edu/en/publications/safety-in-the-face-of-unknown-unknowns-algorithm-fusion-in-data-d
http://dblp.uni-trier.de/db/conf/icassp/icassp2019.html#KshetryV19
https://ieeexplore.ieee.org/document/8683392