Results 91 to 100 of about 147,000 (286)

Transducers Across Scales and Frequencies: A System‐Level Framework for Multiphysics Integration and Co‐Design

Advanced Materials Technologies, EarlyView.
Transducers convert physical signals into electrical and optical representations, yet each mechanism is bounded by intrinsic trade‐offs across bandwidth, sensitivity, speed, and energy. This review maps transduction mechanisms across physical scale and frequency, showing how heterogeneous integration and multiphysics co‐design transform isolated ...
Aolei Xu, Mengyao Xiao, Zhouli Sui, Yinpeng Wang, Daoye Zheng, Yuxin Liu, Luwei Wang, Huajun Liu, Chengkuo Lee   +8 more
wiley   +1 more source

Dual-environment feature fusion-based method for estimating building-scale population distributions

Geo-spatial Information Science
Information on the population distribution at the building scale can help governments make supplemental decisions to address complex urban management issues.
Guangyu Liu, Rui Li, Jing Xia, Zhaohui Liu, Jing Cai, Huayi Wu, Mingjun Peng   +6 more
doaj   +1 more source

Multivariate control charts based on Bayesian state space models

, 2006
This paper develops a new multivariate control charting method for vector autocorrelated and serially correlated processes. The main idea is to propose a Bayesian multivariate local level model, which is a generalization of the Shewhart-Deming model for ...
Ameen, Ameen, Bersimis, Borror, Box, Brown, Chatfield, Cheng, Costa, de Magalhães, del Castillo, Deming, Durbin, Dyer, Goodwin, Gupta, Harris, Jiang, Kalgonda, Kourti, Liu, Lowry, Maravelakis, Mason, Montgomery, Montgomery, Noorossana, Pan, Pan, Salvador, Schmid, Schmid, Shiau, Sullivan, Surtihadi, Tagaras, Tagaras, Tracy, Triantafyllopoulos, Triantafyllopoulos, Triantafyllopoulos, Triantafyllopoulos, VanBrackle, Vargas, Vasilopoulos, Watkins, West, Ye, Yeh, Yeh   +49 more
core   +1 more source

Fabric‐Based Wearable Robotic Exoskeleton Gloves: Advancements and Challenges

Advanced Materials Technologies, EarlyView.
This review highlights interdisciplinary technological advances in fabric‐based robotic gloves, focusing on progress in design, fabrication, actuation, sensing, control, and power and energy requirements. It also addresses performance testing and validation, including biomechanical, strength, functional, user experience, and durability assessments, to ...
Ayse Feyza Yilmaz, Gökhan Ince, Ozgur Atalay   +2 more
wiley   +1 more source

Predicting steady degradation in ship power system: A deep learning approach based on comprehensive monitoring parameters

IET Intelligent Transport Systems
Steady degradation (SD) prediction is crucial for the intelligent operation and maintenance of ship power system (SPS). Addressing the challenge of predicting the SD process, this study introduces the YC2Model, a system‐level predictive method that ...
Xingshan Chang, Xiaojian Xu, Bohua Qiu, Muheng Wei, Xinping Yan, Jie Liu   +5 more
doaj   +1 more source

Non-vanishing of the symmetric square $L$-function at the central point

, 2008
Using the mollifier method, we show that for a positive proportion of holomorphic Hecke eigenforms of level one and weight bounded by a large enough constant, the associated symmetric square $L$-function does not vanish at the central point of its ...
Khan, Rizwanur
core   +2 more sources

Cap‐oPMN: Oral Inflammatory Load Quantification Using Capillary Microfluidics and Automated Image Processing

Advanced Materials Technologies, EarlyView.
ABSTRACT Quantifying oral polymorphonuclear neutrophils (oPMNs) is a clinically validated approach for assessing periodontal inflammation. However, current methods, such as manual hemocytometry and flow cytometry, are time‐consuming (>3 h), require invasive sampling, and depend on staining and complex instrumentation, making them unsuitable for point ...
Mohsen Hassani, Azam Zare, Fatemeh Soheili, S. M. Mahdi H. Daneshvar, Mahdi Amrollahi Biouki, Yasaman Tahernezhad, Chunxiang Sun, Michael Glogauer, Ebrahim Ghafar‐Zadeh, Amir Sanati‐Nezhad   +9 more
wiley   +1 more source

Photovoltaic Power Prediction with Optimized Transformer Integrating Pyramid Attention Module and Temporal Convolutional Network [PDF]

Jisuanji gongcheng
Accurate photovoltaic power prediction is crucial for enhancing grid stability and improving energy utilization efficiency. To address the limitations of existing methods, which struggle to simultaneously consider both long-term dependencies and short ...
ZHANG Hong, LI Feng, MA Yanhong, JI Wenxuan, ZHENG Qipeng
doaj   +1 more source

Deep learning methods for clinical workflow phase-based prediction of procedure duration: a benchmark study

Computer Assisted Surgery
This study evaluates the performance of deep learning models in the prediction of the end time of procedures performed in the cardiac catheterization laboratory (cath lab).
Emanuele Frassini, Teddy S. Vijfvinkel, Rick M. Butler, Maarten van der Elst, Benno H. W. Hendriks, J.J. van den Dobbelsteen   +5 more
semanticscholar   +1 more source

Forecasting the time-varying beta of UK firms: GARCH models vs Kalman filter method

, 2007
This paper forecast the weekly time-varying beta of 20 UK firms by means of four different GARCH models and the Kalman filter method. The four GARCH models applied are the bivariate GARCH, BEKK GARCH, GARCH-GJR and the GARCH-X model.
Choudhry, Taufiq, Wu, Hao
core