Suchergebnisse - embedded flow rate inference algorithm*

AI-Based Prediction-Driven Control Framework for Hydrogen–Natural Gas Blends in Natural Gas Networks.

Autoren: Calianu, George Spiridon, Ștefan-Ionuț Militaru, Andrei-Catalin et al.

Quelle: Energies (19961073); Sep2025, Vol. 18 Issue 18, p4799, 22p

Schlagwörter: HYDROGEN, NATURAL gas, RANDOM forest algorithms, ARTIFICIAL intelligence, CLEAN energy, REAL-time computing, MACHINE learning, FEEDBACK control systems

Development of a Secured IoT-Based Flood Monitoring and Forecasting System Using Genetic-Algorithm-Based Neuro-Fuzzy Network.

Autoren: Arante, Hero Rafael Castillo Sybingco, Edwin Roque, Maria Antonette et al.

Quelle: Sensors (14248220). Jul2025, Vol. 25 Issue 13, p3885. 19p.

Schlagwörter: *FLOOD warning systems, *FORECASTING, *FUZZY neural networks, *DATA security, *INTERNET of things, *GENETIC algorithms

Geografische Kategorien: PHILIPPINES

Supervised machine learning computing paradigm to measure melting and dissipative effects in entropy induced Darcy–Forchheimer flow with ternary-hybrid nanofluids.

Autoren: Qureshi, Hamid Shah, Zahoor Raja, Muhammad Asif Zahoor et al.

Quelle: Numerical Heat Transfer: Part B -- Fundamentals; 2025, Vol. 86 Issue 12, p4168-4189, 22p

Schlagwörter: ENTROPY, NANOFLUIDS, SUPERVISED learning, THERMOPHYSICAL properties, HEAT balance (Engineering), NUMERICAL analysis, FLUID flow, ARTIFICIAL neural networks

A mixture of attention experts-embedded flow-based generative model to create synthetic cells in single-cell RNA-Seq datasets.

Autoren: Turgut Ögme, Sultan Sevgi Aydin, Nizamettin Kurt, Zeyneb

Quelle: PLoS Computational Biology; 10/6/2025, Vol. 21 Issue 10, p1-25, 25p

Schlagwörter: RNA sequencing, PROBABILISTIC generative models, CANCER research, DATA augmentation, CELL determination

Study on Cherry Blossom Detection and Pollination Parameter Optimization Using the SMD-YOLO Model.

Autoren: Ren, Longlong Du, Yonghui Li, Yuqiang et al.

Quelle: Agronomy; Aug2025, Vol. 15 Issue 8, p1915, 23p

Schlagwörter: POLLINATION, DETECTION algorithms, SPRAYING equipment, FLORAL morphology, OBJECT recognition (Computer vision), MATHEMATICAL optimization, REAL-time computing, EDGE computing

Optimization-Based Correction of Turbulence Models for Flow Prediction in Control Valves.

Autoren: Li, Shuxun Tian, Yuhao Deng, Guolong et al.

Quelle: Fluid Dynamics & Materials Processing; 2025, Vol. 21 Issue 8, p1809-1837, 29p

Schlagwörter: ARTIFICIAL neural networks, LARGE eddy simulation models, AXIAL flow, LATIN hypercube sampling, PARTICLE swarm optimization

Fuzzy Inference System for Enhanced Fuel and Air Delivery in Fuel Cell for High Power Electric Vehicle Applications.

Autoren: Aswin, P. S. Vijaya Chandrakala, K. R. M. Arun, P.

Quelle: International Review of Automatic Control; 2024, Vol. 17 Issue 5, p165-174, 10p

Schlagwörter: PROTON exchange membrane fuel cells, FUEL cell vehicles, PID controllers, FUZZY logic, AIR flow

Real-Time Adaptive Nanofluid-Based Lubrication in Stainless Steel Turning Using an Intelligent Auto-Tuned MQL System.

Autoren: Singh, Mahip Dixit, Amit Rai Sharma, Anuj Kumar et al.

Quelle: Materials (1996-1944); Oct2025, Vol. 18 Issue 20, p4714, 22p

Schlagwörter: LUBRICATION systems, NANOFLUIDS, SUSTAINABILITY, SURFACE texture, REAL-time computing, MACHINING

Multi-objective optimization of surface finish and VOC emissions in FFF 3D printing using ANN–NSGA-II approach.

Autoren: M. A., Mahboob Durai S., Denis Ashok

Quelle: Scientific Reports; 10/2/2025, Vol. 15 Issue 1, p1-24, 24p

Schlagwörter: MULTI-objective optimization, SURFACE finishing, MICROFABRICATION, ENVIRONMENTAL health, AIR pollutants, THREE-dimensional printing, MACHINE learning

A Lightweight Track Feature Detection Algorithm Based on Element Multiplication and Extended Path Aggregation Networks.

Autoren: Qiu, Hong Yang, Dayong Cao, Juanhua et al.

Quelle: Sensors (14248220). Sep2025, Vol. 25 Issue 18, p5753. 22p.

Schlagwörter: *REAL-time computing, *ALGORITHMS, *ARTIFICIAL neural networks, COST effectiveness of energy consumption

Non-Intrusive Water Pipeline Flowmeter Based on Acoustic Signal Using AI Approach.

Autoren: Al-Libawy, Hilal Al-Muttairi, Alaa Imran Ameen, Mohammed Jabbar Mohammed

Quelle: Journal Européen des Systèmes Automatisés; Jun2025, Vol. 58 Issue 6, p1101-1109, 9p

Schlagwörter: WATER pipelines, FLOW measurement, PIPE flow, WATER levels, FEATURE extraction, DEEP learning

Development of an AI-Empowered Novel Digital Monitoring System for Inhalation Flow Profiles †.

Autoren: Fan, Ziyi Ye, Yuqing Chen, Jiale et al.

Quelle: Sensors (14248220); Jul2025, Vol. 25 Issue 14, p4402, 19p

Schlagwörter: ARTIFICIAL intelligence, MACHINE learning, LUNG diseases, EXPIRATORY flow, AIR flow, INHALERS, LUNG volume measurements, VENTILATION monitoring

Do fistula flow rate and fistula location have any effects on heart failure developing in patients with arteriovenous fistula?

Autoren: Yümün, Gündüz Donbaloğlu, Mehmet Okan Gürkan, Selami et al.

Quelle: BMC Cardiovascular Disorders; 7/4/2025, Vol. 25 Issue 1, p1-8, 8p

Schlagwörter: ARTERIOVENOUS fistula, DOPPLER ultrasonography, HEART failure patients, STATISTICAL significance, CHRONIC kidney failure

High-resolution analysis of hydraulic response characteristics of silted stormwater pipeline and manholes in urban catchments using GASM-TranGRU and CFD-DEM.

Autoren: Di, Danyang Wang, Ruoyi Fang, Hongyuan et al.

Quelle: Engineering Applications of Computational Fluid Mechanics; Dec2025, Vol. 19 Issue 1, p1-28, 28p

Flow Field Reconstruction and Prediction of Powder Fuel Transport Based on Scattering Images and Deep Learning.

Autoren: Du, Hongyuan Cao, Zhen Song, Yingjie et al.

Quelle: Sensors (14248220); Aug2025, Vol. 25 Issue 15, p4613, 18p

Schlagwörter: DEEP learning, FEATURE extraction, RECURRENT neural networks, FUEL systems, ARTIFICIAL neural networks, SCATTERING (Mathematics), FLOW visualization, OPTICAL sensors

Empirical assessment of saturation flow rate with dynamic PCUs at signalized intersections under mixed traffic conditions.

Autoren: Maddu, Kamalnath Potdar, Pratik Deb, Momi et al.

Quelle: Innovative Infrastructure Solutions; 7/28/2025, Vol. 10 Issue 8, p1-17, 17p

Performance Optimization Built-in Drill Bit Pulse Impactor Based on Gaussian Process Regression Model.

Autoren: Han-qing, Wang

Quelle: International Journal of Precision Engineering & Manufacturing; Dec2025, Vol. 26 Issue 12, p3375-3391, 17p

Analysis and control of Hall effect thruster using optical emission spectroscopy and artificial neural network.

Autoren: Ben Slimane, Tarek Leduc, Alexandre Schiesko, Loïc et al.

Quelle: Journal of Applied Physics; 10/21/2024, Vol. 136 Issue 15, p1-15, 15p

Schlagwörter: ARTIFICIAL neural networks, HALL effect thruster, STATISTICAL correlation, EMISSION spectroscopy, OPTICAL spectroscopy

Investigations on mass flow rate of rotary vane feeder for direct metal laser deposition.

Autoren: Kumar, S. Pratheesh Ramakrishna, J. R. Karthikeyan, S.

Quelle: Progress in Additive Manufacturing; Jan2025, Vol. 10 Issue 1, p33-52, 20p

Q-PPG: Energy-Efficient PPG-Based Heart Rate Monitoring on Wearable Devices

Autoren: Burrello, Alessio Pagliari, Daniele Jahier Risso, Matteo et al.

Weitere Verfasser: Burrello, Alessio Pagliari, Daniele Jahier Risso, Matteo et al.

Schlagwörter: Hearth rate monitoring, photoplethysmography, deep neural network, quantization, embedded system, wearable device, healthcare, Algorithm, Artifact, Heart Rate, Signal Processing, Computer-Assisted, Wearable Electronic Devices

Dateibeschreibung: ELETTRONICO

Relation: info:eu-repo/semantics/altIdentifier/pmid/34673496; info:eu-repo/semantics/altIdentifier/wos/WOS:000757856200012; volume:15; issue:6; firstpage:1196; lastpage:1209; numberofpages:14; journal:IEEE TRANSACTIONS ON BIOMEDICAL CIRCUITS AND SYSTEMS; https://hdl.handle.net/11585/904598; https://ieeexplore.ieee.org/document/9583926

Verfügbarkeit: https://hdl.handle.net/11585/904598
https://doi.org/10.1109/TBCAS.2021.3122017
https://ieeexplore.ieee.org/document/9583926