Results 121 to 130 of about 2,631,204 (260)
Spatiotemporal brain imaging and modeling [PDF]
Thesis (Ph. D.)--Harvard-MIT Division of Health Sciences and Technology, February 2004.Includes bibliographical references.This thesis integrates hardware development, data analysis, and mathematical modeling to facilitate our understanding of brain ...
Lin, Fa-Hsuan, 1972-
core
Variational spatiotemporal enhanced transformer encoder-decoder for robust EEG signal recognition
Electroencephalogram (EEG)-based brain–computer interfaces (BCIs) decode neural intent but remain vulnerable to non-stationarity, low signal-to-noise ratios, complex spatiotemporal dynamics, and inter-trial variability. Existing deterministic deep models
Ping Wang, Min Gao, Hui Gao, Junyu Li
doaj +1 more source
Recent Advances in Plasma‐Enhanced Atomic Layer Etching for Next‐Generation Nanofabrication
Continued semiconductor miniaturization demands atomic‐scale patterning and ultralow surface roughness beyond the capabilities of conventional reactive ion etching. This review highlights advances in isotropic and anisotropic plasma‐enhanced atomic layer etching since 2020, covering fundamental mechanisms, applications across major semiconductor ...
Shih‐Nan Hsiao
wiley +1 more source
Monocular 3D Human Pose Estimation (3D HPE) typically adopts a two-stage approach: estimating 2D joint positions from images and then lifting them to 3D coordinates, effectively reducing dataset bias inherent in direct methods.
Xu Li +8 more
doaj +1 more source
On‐Skin Wireless Vibratory Interfaces by Stretchable Multilayer Circuits
A battery‐free, stretchable wireless vibratory interface is developed through printable liquid‐metal‐based multilayer circuits. The soft device integrates wireless power reception, signal modulation, and vibrotactile actuation within a compliant platform.
Jiawei Liu +10 more
wiley +1 more source
Modeling Randomly Observed Spatiotemporal Dynamical Systems
Spatiotemporal processes are a fundamental tool for modeling dynamics across various domains, from heat propagation in materials to oceanic and atmospheric flows. However, currently available neural network-based modeling approaches fall short when faced
Lähdesmäki, Harri, Iakovlev, Valerii
core
Interharmonics: Theory and Modeling
Some of the most remarkable issues related to interharmonic theory and modeling are presented. Starting from the basic definitions and concepts, attention is first devoted to interharmonic sources.
IEEE TASK FORCE ON HARMONICS MODELING a. S. +2 more
core +1 more source
Understanding how soil moisture drought transitions into hydrological drought is essential for effective monitoring of water resources and assessing drought risk.
Jie Wang +7 more
doaj +1 more source
Recent Advances of Slip Sensors for Smart Robotics
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
Modeling Phenomena in Spatiotemporal Databases: Desiderata and Solutions
. This paper focuses on the database modeling of spatiotemporal phenomena. Their components and behavior are analyzed and a formal framework with a small set of concepts-namely objects, attributes, relationships, fields, and constraints, with spatial and
Nectaria Tryfona
core

