Suchergebnisse - three-series conversion algorithm model

Design of Pulse Forming Networks Triggered by High-Power Hydrogen Thyratron

Autoren: Han, Yong Zhao, Tao Yan, Shi et al.

Quelle: Tehnički Vjesnik, Vol 30, Iss 6, Pp 2009-2017 (2023)
Tehnički vjesnik
Volume 30
Issue 6

Schlagwörter: hydrogen thyratron, anti-resonance, three-series conversion algorithm model, TA1-2040, series resonance, simulation, Engineering (General). Civil engineering (General)

Dateibeschreibung: application/pdf

Zugangs-URL: https://doaj.org/article/06faf3736bdd4ec6abdde00d11fac89d
https://hrcak.srce.hr/309252
https://hrcak.srce.hr/file/446422
https://doi.org/10.17559/TV-20230425000565
https://hrcak.srce.hr/309252
https://doi.org/10.17559/tv-20230425000565

Dynamic PV modeling using fuzzy logic and genetic algorithm for enhanced monocrystalline array performance.

Autoren: Saci, Z. I. Bechouat, M. Sedraoui, M. et al.

Quelle: Iranian Journal of Fuzzy Systems; Sep/Oct2025, Vol. 22 Issue 5, p143-158, 16p

Schlagwörter: PHOTOVOLTAIC power generation, FUZZY logic, CLIMATE change, GENETIC algorithms, COMPUTER simulation, STATISTICAL reliability, RENEWABLE energy sources, SINGLE crystals

Design of Pulse Forming Networks Triggered by High-Power Hydrogen Thyratron

Autoren: Yong Han Tao Zhao Shi Yan et al.

Quelle: Tehnički Vjesnik, Vol 30, Iss 6, Pp 2009-2017 (2023)

Schlagwörter: anti-resonance, hydrogen thyratron, series resonance, simulation, three-series conversion algorithm model, Engineering (General). Civil engineering (General), TA1-2040

Relation: https://hrcak.srce.hr/file/446422; https://doaj.org/toc/1330-3651; https://doaj.org/toc/1848-6339; https://doaj.org/article/3bfd6a02265249fe85042f2cd9cb8562

Verfügbarkeit: https://doaj.org/article/3bfd6a02265249fe85042f2cd9cb8562

AI-powered knowledge organization: a next-generation approach to library classification using DeepSeek-R1.

Autoren: Feng, Na

Quelle: Scientific Reports; 11/3/2025, Vol. 15 Issue 1, p1-12, 12p

Schlagwörter: CLASSIFICATION of books, AUTOMATIC classification, KNOWLEDGE management, DIGITAL libraries, INFORMATION technology, LANGUAGE models, CLASSIFICATION algorithms, ARTIFICIAL intelligence

An Improved Step Detection Algorithm for Indoor Navigation Problems with Pre-Determined Types of Activity.

Autoren: Zieliński, Michał Chybicki, Andrzej Borsuk, Aleksandra

Quelle: Sensors (14248220); Oct2025, Vol. 25 Issue 20, p6358, 23p

Schlagwörter: INDOOR positioning systems, HUMAN activity recognition, GYROSCOPES, RECURRENT neural networks, CONTINUOUS improvement process, SMARTPHONES

Harmonic mitigation for symmetrical cascaded h-bridge inverter using sparrow search algorithm.

Autoren: Tennyson, Daniel Igenumah Jibia, Abdussamad Umar Shanono, Ibrahim Haruna et al.

Quelle: Journal of Electrical Systems & Information Technology; 6/23/2025, Vol. 12 Issue 1, p1-17, 17p

Schlagwörter: HARMONIC distortion (Physics), OPTIMIZATION algorithms, HARMONIC suppression filters, POWER supply quality, CASCADE converters, CONVERTERS (Electronics), SIMULATION methods & models

Fault Diagnosis Method for Proton Exchange Membrane Fuel Cells Based on the Fusion of Deep Learning and Ensemble Learning.

Autoren: Jiang, Liangliang Dong, Fei Xu, Sheng et al.

Quelle: Journal of Energy Engineering; Aug2025, Vol. 151 Issue 4, p1-16, 16p

Schlagwörter: ENSEMBLE learning, RANDOM forest algorithms, FAULT diagnosis, FUEL cells, DEEP learning

Discovering novel halide perovskite alloys using multi-fidelity machine learning and genetic algorithm.

Autoren: Yang, Jiaqi Manganaris, Panayotis Mannodi-Kanakkithodi, Arun

Quelle: Journal of Chemical Physics; 2/14/2024, Vol. 160 Issue 6, p1-15, 15p

Schlagwörter: MACHINE learning, GENETIC algorithms, PEROVSKITE, TERNARY phase diagrams, DESCRIPTOR systems, DENSITY functional theory, ALLOYS

A nonlinear grey model with seasonal weighted fractional accumulation for triangular fuzzy number series and its application to forecast PM2.5.

Autoren: Cao, Zhenxiu Zeng, Xiangyan Yan, Shuli et al.

Quelle: Grey Systems: Theory & Application; 2025, Vol. 15 Issue 3, p574-601, 28p

Computer-aided design of piezoelectric systems operating as machine assemblies or subassemblies.

Autoren: Harazin, Jacek Wróbel, Andrzej

Quelle: Scientific Reports; 9/26/2025, Vol. 15 Issue 1, p1-17, 17p

Schlagwörter: COMPUTER-aided design, PIEZOELECTRIC devices, ACTIVE noise & vibration control, ALGORITHMS, EMPIRICAL research, SYSTEMS design, AUTOMATION

Model Predictive Control Based PV Grid-Connected Single-stage Three Phase Split-Source Inverter.

Alternate Title: Model Predykcyjnej Kontroli Opartej na Sieci PV Jednofazowy Trójfazowy Falownik Split-Source Podłączony do Sieci. (Polish)

Autoren: FEROURA, Hamza KRIM, Fateh MAY, Abdelouahad et al.

Quelle: Przegląd Elektrotechniczny; 2024, Vol. 2024 Issue 11, p88-93, 6p

Schlagwörter: COST functions, DISCRETE-time systems, IDEAL sources (Electric circuits), PREDICTION models, DIODES, MAXIMUM power point trackers

Reducing Search Space for Halide Perovskites: Comparing New Simple Material Model (NSMM), Coin-Flip, Goldschmidt's Tolerance Factor Formalism (GTFF), and SPuDS Algorithm.

Autoren: Tidrow, Steven C.

Quelle: Integrated Ferroelectrics; 2024, Vol. 240 Issue 1, p1-19, 19p

Schlagwörter: PEROVSKITE, PHOTOVOLTAIC power generation, HALIDES, SOLID solutions, ALGORITHMS

A novel MPPT approach for photovoltaic system using Pelican optimization and high-gain DC–DC converter.

Autoren: Akter, Khadiza Motakabeer, S. M. A. Zahirul Alam, A. H. M. et al.

Quelle: Scientific Reports; 11/18/2025, Vol. 15 Issue 1, p1-22, 22p

Schlagwörter: PHOTOVOLTAIC power systems, MAXIMUM power point trackers, OPTIMIZATION algorithms, ENERGY harvesting, DC-to-DC converters, MECHANICAL efficiency, RENEWABLE energy sources, SOLAR energy

Path Planning for Construction Robot Based on the Improved A* Algorithm and Building Information Modeling.

Autoren: Wang, Dejiang Liu, Bolong Jiang, Haili et al.

Quelle: Buildings (2075-5309); Mar2025, Vol. 15 Issue 5, p719, 22p

Schlagwörter: ROBOTIC path planning, BUILDING information modeling, ROBOT motion, CIVIL engineering, CIVIL engineers

Comparison of Classical and Artificial Intelligence Algorithms to the Optimization of Photovoltaic Panels Using MPPT.

Autoren: Sousa, João T. Barbosa, Ramiro S.

Quelle: Algorithms; Aug2025, Vol. 18 Issue 8, p493, 28p

Schlagwörter: ARTIFICIAL neural networks, ARTIFICIAL intelligence, ENERGY harvesting, FUZZY logic, EFFICIENCY of photovoltaic cells, GENETIC algorithms, REINFORCEMENT learning

Visual Re-Initialization Model Development Methodology for Solving Problems Regarding Metaheuristic Algorithm-Based MPPT Applications.

Autoren: Sezen, Serkan Kılıç, Fuat

Quelle: Electric Power Components & Systems; 2024, Vol. 52 Issue 9, p1597-1615, 19p

Schlagwörter: METAHEURISTIC algorithms, PROBLEM solving, EMULATION software, SEARCH algorithms, COMPUTATIONAL complexity, PHOTOVOLTAIC power systems, ALGORITHMS

Automated Detection of Shading Faults in Photovoltaic Modules Using Convolutional Neural Networks and I–V Curves.

Autoren: Arenas-Prado, Jesus A. Rangel-Rodriguez, Angel H. Amezquita-Sanchez, Juan P. et al.

Quelle: Processes; Sep2025, Vol. 13 Issue 9, p2999, 24p

Schlagwörter: CONVOLUTIONAL neural networks, FAULT diagnosis, CURRENT-voltage characteristics, DETECTION algorithms, RENEWABLE energy sources, CLASSIFICATION, PHOTOVOLTAIC power generation

Automated multi-type damage detection framework in reinforced concrete structures via data augmentation and deep segmentation networks.

Autoren: Wang, Jiehui Wang, Zelin Wang, Yi et al.

Quelle: Journal of Civil Structural Health Monitoring; Dec2025, Vol. 15 Issue 8, p3861-3884, 24p

Implementation of Replica-Averaged Restraints from Nuclear Magnetic Resonance Measurement with UNRES Coarse Grained Model of Polypeptide Chains.

Autoren: Shirkov, Leonid Czaplewski, Cezary Liwo, Adam

Quelle: Molecules; Nov2025, Vol. 30 Issue 22, p4354, 24p

Schlagwörter: NUCLEAR magnetic resonance, MOLECULAR dynamics, AMINO acid sequence, MOLECULAR shapes, PROTEIN conformation

Prediction of Efficiency for KSnI3 Perovskite Solar Cells Using Supervised Machine Learning Algorithms.

Autoren: Pindolia, Grishma Shinde, Satyam M

Quelle: Journal of Electronic Materials; Jun2024, Vol. 53 Issue 6, p3268-3275, 8p

Schlagwörter: SUPERVISED learning, SOLAR cells, PEROVSKITE, MACHINE learning, RANDOM forest algorithms