Results 141 to 150 of about 2,719,560 (294)

Physics‐Grounded Probabilistic Bits for Hardware‐Efficient Intelligent Inference and Optimization

Advanced Intelligent Systems, EarlyView.
Si–SiNx interface traps are harnessed as a complementary metal–oxide–semiconductor‐compatible source of controllable randomness for probabilistic bits. Pulse‐width‐programmed stochastic capture converts nanoscale defect dynamics into Boltzmann‐consistent binary outputs, while a physics‐based Simulation Program with Integrated Circuit Emphasis model ...
Dokyoung Lee, Jun‐Young Park, Joon‐Kyu Han, Sungho Kim   +3 more
wiley   +1 more source

Forecasting Fatal Construction Accidents Using an STL–BiGRU Hybrid Framework: A Multi-Scale Time Series Approach

Buildings
Accurate forecasting of fatal construction accidents is critical for proactive safety management; however, accident time series exhibit strong non-stationarity, nonlinear dynamics, and multi-scale temporal patterns that challenge conventional models ...
Yuntao Cao, Rui Zhang, Ziyi Qu, Martin Skitmore, Xingguan Ma, Jun Wang   +5 more
doaj   +1 more source

Research on Vehicle Lane Change Intent Recognition Based on Transformers and Bidirectional Gated Recurrent Units

In order to quickly and accurately identify the lane changing intention of vehicles, and to deeply consider the time series characteristics of vehicle driving processes and the interactive effects between vehicles, a lane changing intention recognition ...
Yujie Chen, Kexing Fan, Yong Luo, Dan Zhou, Qi Bai, Guodong Xie   +5 more
core   +1 more source

Interpretable Short‐Term Electric Load Forecasting

Advanced Intelligent Systems, EarlyView.
A temporal fusion transformer is implemented to generate day‐ahead forecasts of the hourly electrical load of a departmentbuilding at an Italian university. A forecasting performance improvement of more than 25% compared with established benchmark models and a provision of inherent robust interpretability insights reveal the potential of this model for
Alessandro Nicola, Giorgia Ghione, Vincenzo Randazzo, Vincenzo Franzitta, Marco Badami, Eros Pasero, Giansalvo Cirrincione   +6 more
wiley   +1 more source

A Language‐Guided Multimodal Foundation Model for Zero‐Shot and Multi‐Task Brain Signal Analysis

Advanced Intelligent Systems, EarlyView.
METIS aligns brain signals with natural‐language instructions to enable zero‐shot and multi‐task brain signal analysis. Pretrained on over 70 000 h of EEG and iEEG recordings, it generalizes across sleep stage classification, epilepsy detection, and neurological disorder diagnosis, providing a scalable foundation model for clinically meaningful brain ...
Mingzhi Chen, Yiyu Gui, Guibo Luo, Yuchao Yang   +3 more
wiley   +1 more source

An Intelligent Piezoelectric System Integrating Self‐Sensing and Autonomous Operation for Adaptive Vibration Control

Advanced Intelligent Systems, EarlyView.
An intelligent piezoelectric vibration control system integrating self‐sensing, autonomous operation, and adaptive bias‐flip synchronized switching damping (SSD) is developed. The system detects vibration extrema, executes synchronized switching control, and autonomously establishes the bias voltage without external sensing instruments, achieving ...
Hao Tang, Weiqun Liu, Guobiao Hu
wiley   +1 more source

Resilient Multimodal Fusion for Robust Vulnerability Exploitability Prediction Under Data Degradation

Advanced Intelligent Systems, EarlyView.
Secure Fusion‐X harmonizes unstructured NVD descriptions with structured CVSS/CWE/CPE metadata via decision‐level fusion, overcoming the fragility of traditional unimodal models. Automated assessment of software vulnerability exploitability is essential for intelligent cyber defense, yet its effectiveness is often hindered by unstable, delayed, or ...
Mona Dolati, Seyedeh Leili Mirtaheri, Reza Shahbazian, Andrea Pugliese   +3 more
wiley   +1 more source

Dynamically Tuned Variational Mode Decomposition and Convolutional Bidirectional Gated Recurrent Unit Algorithm for Coastal Sea Level Prediction

This study proposes a hybrid sea level prediction model by coupling a dynamically optimized variational mode decomposition (VMD) with a convolutional bidirectional gated recurrent unit (CNN-BiGRU).
Zhou Zhou, Weibo Rao, Gang Chen, Jifa Chen, Ping Zhou   +4 more
core   +1 more source

The synergistic impact of granulocytic myeloid‐derived suppressor cells and innate lymphoid cells in systemic sclerosis

Arthritis &Rheumatology, Accepted Article.
Objective Systemic sclerosis (SSc) is a chronic autoimmune disorder characterized by immune dysregulation and fibrosis, with myeloid‐derived suppressor cells (MDSCs) emerging as important regulators of immune responses. However, the role of MDSCs in SSc‐associated fibrosis and their interactions with other immune cell populations remain poorly ...
Stefanie Weber, Mario R. Angeli, Hashem Mohammadian, Hannah Labinsky, Maria Gabriella Raimondo, Richard Demmler, Yuko Ariza, Thomas Wohlfahrt, Markus Luber, Yi‐Nan Li, Jörg H.W. Distler, Tobias Bäuerle, Georg Schett, Simon Rauber, Andreas Ramming, Alina M. Ramming   +15 more
wiley   +1 more source

Neurovascular coupling in bone regeneration: Mechanisms, advanced biomaterials and challenges

BMEMat, EarlyView.
This figure illustrates various material strategies for neurovascularized bone regeneration, including electroactive scaffolds, ion‐loaded materials, drug delivery systems, surface modifications, cells/cell products, growth factors, and peptides. These approaches aim to synergistically promote the regeneration of neural, vascular, and bone tissues ...
Yixin Ma, Nan Jiang, Liyuan Chen, He Zhang, Xinjia Cai, Karan Gulati, Danqing He, Zhigang Cai, Yan Liu   +8 more
wiley   +1 more source