Results 51 to 60 of about 634 (170)

A Decoding Algorithm of Resolver Based on Third-order Angle Tracking Observer

open access: yesKongzhi Yu Xinxi Jishu, 2020
In electric drive system, resolver decoder chip is expensive and its related circuits are complicated. In order to reduce system cost, a software decoding algorithm based on third-order angle observer was proposed according to the characteristics of ...
YU Kang   +5 more
doaj  

Biointegrated Battery‐Based Electroceuticals

open access: yesAdvanced Materials, EarlyView.
Biointegrated batteries go beyond passive power to serve as active therapeutic platforms for delivering programmable electrical cues and bioactive agents. This review examines their mechanisms and applications and provides a framework to guide battery‐based therapeutic design and clinical translation.
Yan Zhou   +6 more
wiley   +1 more source

1‐D Collocated Dual‐Gradient Sensory Fibers for Comprehensive Sensing and Decoding of Complex Human Motion and Physiology

open access: yesAdvanced Materials, EarlyView.
Coupled materials design enables a monolithic fiber that integrates complementary sensing regimes into a single wearable strand. By preserving informative signal features across subtle physiological deformation, large body motion, and mixed mechanical inputs, the dual‐gradient architecture generates synchronized, less redundant outputs that improve ...
Yunheum Lee   +13 more
wiley   +1 more source

Spectral-Guided Mask Generation for Error Correction Code Transformers

open access: yesIEEE Transactions on Machine Learning in Communications and Networking
Neural decoders have recently advanced error correction performance, with transformer-based architectures in the error correction code transformer (ECCT) framework achieving state-of-the-art results among neural decoders. However, the multiple-masks ECCT
Linh Nguyen   +2 more
doaj   +1 more source

Recent Advances of Slip Sensors for Smart Robotics

open access: yesAdvanced Materials Technologies, EarlyView.
This review summarizes recent progress in robotic slip sensors across mechanical, electrical, thermal, optical, magnetic, and acoustic mechanisms, offering a comprehensive reference for the selection of slip sensors in robotic applications. In addition, current challenges and emerging trends are identified to advance the development of robust, adaptive,
Xingyu Zhang   +8 more
wiley   +1 more source

GCRTcall: a transformer based basecaller for nanopore RNA sequencing enhanced by gated convolution and relative position embedding via joint loss training

open access: yesFrontiers in Genetics
Nanopore sequencing, renowned for its ability to sequence DNA and RNA directly with read lengths extending to several hundred kilobases or even megabases, holds significant promise in fields like transcriptomics and other omics studies.
Qingwen Li   +6 more
doaj   +1 more source

Liquid Metal‐Based Stretchable Strain Sensor for Fruit Growth Monitoring

open access: yesAdvanced Materials Technologies, EarlyView.
Schematic overview of the fruit growth sensor development workflow, including sensor fabrication by injection molding, electromechanical and environmental characterization, mechanical stability testing, electronic readout integration, and outdoor field validation for monitoring of fruit growth under practical orchard conditions.
Asad Ullah   +7 more
wiley   +1 more source

Multimodal Haptic Perception Through Synergistic Nanocomposite Sensor Arrays

open access: yesAdvanced Materials Technologies, EarlyView.
Multi‐modal fingertip haptics are advanced through a bioinspired &vertical‐via' electronic skin architecture. A confined PDMS/MWCNT/NiNP nanocomposite, sitting at the percolation threshold, enables tactile, thermal, and magnetic sensing. A unique via‐density gradient and dedicated &Un‐Touch' reference nodes provide robust spatial resolution and signal ...
Amos Bardea, Fernando Patolsky
wiley   +1 more source

MSEI-ENet: A Multi-Scale EEG-Inception Integrated Encoder Network for Motor Imagery EEG Decoding

open access: yesBrain Sciences
Background: Due to complex signal characteristics and distinct individual differences, the decoding of a motor imagery electroencephalogram (MI-EEG) is limited by the unsatisfactory performance of suboptimal traditional models.
Pengcheng Wu   +3 more
doaj   +1 more source

Decoding Behavior Tasks From Brain Activity Using Deep Transfer Learning

open access: yesIEEE Access, 2019
Recently, advances in noninvasive detection techniques have shown that it is possible to decode visual information from measurable brain activities. However, these studies typically focused on the mapping between neural activities and visual information,
Yufei Gao   +4 more
doaj   +1 more source

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