Results 151 to 160 of about 93,852 (297)

Study on Control of Grid-side Converter in Wind Power System under Unbalanced Grid Voltage Conditions

Kongzhi Yu Xinxi Jishu, 2011
To improve working performance of grid-side converter with LCL filter in wind power system under unbalanced grid voltage conditions, the mathematical model of converter has been set up and analyzed theoretically.
张宪平, 潘磊, 秦明
doaj  

Integrating Artificial Intelligence With Droplet‐Based Microfluidics: Advances, Challenges, and Emerging Opportunities

Advanced Intelligent Systems, EarlyView.
Droplet‐based microfluidics enables precise, high‐throughput microscale reactions but continues to face challenges in scalability, reproducibility, and data complexity. This review examines how artificial intelligence enhances droplet generation, detection, sorting, and adaptive control and discusses emerging opportunities for clinical and industrial ...
Junyan Lai, Sukrit Gaira, Rongfeng Wang, Qingtian Zhang, Ming Li, Liao Wu, Diangeng Li, Yi Li, Chengchen Zhang, Jinhong Guo, Shi‐Yang Tang   +10 more
wiley   +1 more source

Ultralow‐Power Real‐Time On‐Chip Thermal Prediction via Finite Element Method–Machine Learning Codesign and Field‐Programmable Gate Array Deployment

Advanced Intelligent Systems, EarlyView.
A lightweight machine learning (ML)‐based thermal prediction framework is demonstrated and implemented on a field‐programmable gate array (FPGA). Using measured temperature data from a real chiplet, the approach enables real‐time, die‐level heat‐map inference with low power consumption, validating practical on‐chip thermal monitoring for advanced ...
Jun Ho Lee, Jae Gyu Kim, Sung Jin Kim, Jae Yong Song, Byoung Don Kong   +4 more
wiley   +1 more source

Climate change and perennial crop production: Evidence of yield impact and adaptation in California

American Journal of Agricultural Economics, EarlyView.
Abstract Perennial crops are economically important. They contribute to food security, providing essential nutrients that are often lacking in annual crops, and provide additional environmental benefits compared with annual crops. Despite their importance, empirical research on the impacts of climate change and adaptation on perennial crops remains ...
Yuanyuan Wen, Wei Zhang, Julian M. Alston   +2 more
wiley   +1 more source

Control strategy for current limitation and maximum capacity utilization of grid connected PV inverter under unbalanced grid conditions. [PDF]

Sci Rep
Joshi J, Jately V, Kala P, Sharma A, Lim WH, Azzopardi B.   +5 more
europepmc   +1 more source

Imaging and Linking Spatial Magnetic Nanoparticle Distribution to Microbead Torques Using Soft X‐Ray Laminography

Advanced Physics Research, EarlyView.
Nanoscale 3D imaging of superparamagnetic microbeads via soft X‐ray laminography reveals the structural origin of the observed torques in cell movement experiments. These microbeads are found to have an uneven distribution of magnetic magnetite nanoparticles.
Findan Block, Finn Klingbeil, Dennis Seidler, Christine Arndt, Sandra Sindt, Katharina Witte, Benjamin Watts, Jörg Raabe, Christine Selhuber‐Unkel, Jeffrey McCord   +9 more
wiley   +1 more source

Unbalanced power anomaly detection model based on improved transformer and countermeasure encoder. [PDF]

Sci Rep
Yang S, Song Y.
europepmc   +1 more source

Automated Feature Extraction and Classification of Submerged Cultural Heritage Assets in the Puck Lagoon via Multisensor Remote Sensing

Archaeological Prospection, EarlyView.
ABSTRACT This study presents a strong framework for the detection and classification of Submerged Cultural Heritage Assets (SCHA) in shallow marine environments using the integration of multibeam echosounder and airborne LiDAR bathymetry with object‐based image analysis and fuzzy logic–based classification.
Łukasz Janowski, Andrzej Pydyn, Mateusz Popek, Anna M. Kotarba‐Morley, Paweł Tysiąc   +4 more
wiley   +1 more source

Retraction Note: Stationary-frame power regulation for controlling grid-connected three-phase modular multilevel converter with low harmonic under unbalanced voltage. [PDF]

Sci Rep
Akbari E.
europepmc   +1 more source

Machine Learning to Predict Remission Between Six and 24 Months in Rheumatoid Arthritis: Insights from the JAK‐pot Collaboration

Arthritis &Rheumatology, Accepted Article.
Objective To develop, externally validate, and simplify a machine‐learning (ML) model to predict remission between six and 24 months in rheumatoid arthritis (RA) patients initiating TNF inhibitors, JAK inhibitors, IL‐6 inhibitors, abatacept, or rituximab, using data from 11 international registries in the JAK‐pot collaboration.
Zubeyir Salis, Denis Mongin, Denis Choquette, Louis Coupal, Catalin Codreanu, Florenzo Iannone, Roberto Caporali, Tore K Kvien, Sella Provan, Ruth Fritsch‐Stork, Dan Nordström, Nina Trokovic, Karel Pavelka, Jakub Závada, Ana Rodrigues, Ziga Rotar, Prodromos Sidiropoulos, Irini Flouri, Céline Lamacchia, Michele Iudici, Delphine Courvoisier, Kim Lauper, Axel Finckh   +22 more
wiley   +1 more source