Results 31 to 40 of about 25,587 (261)

UniFL: Accelerating Federated Learning Using Heterogeneous Hardware Under a Unified Framework

IEEE Access
Federated learning (FL) is now considered a critical method for breaking down data silos. However, data encryption can significantly increase computing time, limiting its large-scale deployment.
Biyao Che, Zixiao Wang, Ying Chen, Liang Guo, Yuan Liu, Yuan Tian, Jizhuang Zhao   +6 more
doaj   +1 more source

Design of IGBT parameter prediction hardware system based on LSTM network

Dianzi Jishu Yingyong, 2019
Parameter prediction of insulated gate bipolar transistor(IGBT) can effectively avoid the economic loss and safety problem caused by its failure. Based on the analysis of IGBT parameters, the paper designs a SoC hardware system of IGBT parameters ...
Li Yuanbo, Yang Yuan, Zhang Xiaotao
doaj   +1 more source

Analysing the significance of small conformational changes and low occupancy states in serial crystallographic data

FEBS Open Bio, EarlyView.
This protocol paper outlines methods to establish the success of a time‐resolved serial crystallographic experiment, by means of statistical analysis of timepoint data in reciprocal space and models in real space. We show how to amplify the signal from excited states to visualise structural changes in successful experiments.
Jake Hill, Yelyzaveta Pulnova, Elke De Zitter, Helen M. Ginn, Briony A. Yorke   +4 more
wiley   +1 more source

CNN Acceleration With Hardware-Efficient Dataflow for Super-Resolution

IEEE Access, 2020
The convolutional neural network (CNN)-based super-resolution (SR) has shown outstanding performance in the field of computer vision. The implementation of inference hardware for CNN-based SR has suffered from the intensive computation with severely ...
Sumin Lee, Sunghwan Joo, Hong Keun Ahn, Seong-Ook Jung   +3 more
doaj   +1 more source

Artificial Intelligence in Systemic Sclerosis: Clinical Applications, Challenges, and Future Directions

Arthritis Care &Research, EarlyView.
Systemic sclerosis (SSc) is a rare autoimmune disease defined by immune dysregulation, vasculopathy, and progressive fibrosis of the skin and internal organs. Despite advances in care, major complications such as interstitial lung disease (ILD) and myocardial involvement remain the leading causes of morbidity and mortality.
Cristiana Sieiro Santos, José Miguel Sequí‐Sabater, Diego Benavent   +2 more
wiley   +1 more source

Hardware Accelerators in Autonomous Driving

CoRR, 2023
Computing platforms in autonomous vehicles record large amounts of data from many sensors, process the data through machine learning models, and make decisions to ensure the vehicle's safe operation. Fast, accurate, and reliable decision-making is critical.
Ken Power, Shailendra Deva, Ting Wang, Julius Li, Ciarán Eising   +4 more
openaire   +2 more sources

Observer‐Based Adaptive Event‐Triggered Tracking Control for Fuzzy TS Systems With Premise Mismatch

International Journal of Adaptive Control and Signal Processing, EarlyView.
This paper presents an adaptive logistic event‐triggered observer‐based tracking controller for Takagi‐Sugeno fuzzy systems under constrained inputs and network delays. Leveraging a hybrid LMI and Secretary Bird Optimization approach, this strategy significantly minimizes communication overhead and computational burden while ensuring optimal reference ...
Oussama Djadane, Salama Makni, Mourad Kchaou, Ahmed El Hajjaji   +3 more
wiley   +1 more source

Light‐Assisted 3D Printing Techniques and Photocrosslinking Strategies: Recent Advances in Musculoskeletal Tissue Engineering

Advanced Engineering Materials, EarlyView.
In this review, the current state of light‐assisted 3D printing as it pertains to engineering musculoskeletal tissues including bone, cartilage, skeletal muscle, tendon, and ligaments is summarized. Common printing techniques, photoreactive materials, and study design choices are compiled and reviewed.
Meagan Morgan, Bin Zhang, Roger Narayan
wiley   +1 more source

Hardware for Deep Learning Acceleration

Advanced Intelligent Systems
Deep learning (DL) has proven to be one of the most pivotal components of machine learning given its notable performance in a variety of application domains.
Choongseok Song, ChangMin Ye, Yonguk Sim, Doo Seok Jeong   +3 more
doaj   +1 more source

Hardware acceleration for next-to-leading order event generation within MadGraph5_aMC@NLO [PDF]

EPJ Web of Conferences
As the quality of experimental measurements increases, so does the need for Monte Carlo-generated simulated events — both with respect to the total amount and to their precision.
Wettersten Zenny, Mattelaer Olivier, Roiser Stefan, Valassi Andrea, Zaro Marco   +4 more
doaj   +1 more source