Results 61 to 70 of about 366 (255)

Push the Limits: Human‐Like Multimodal Extreme Embodied Intelligence for Autonomous Racing

open access: yesAdvanced Robotics Research, EarlyView.
Autonomous racing tests embodied intelligence under extreme control limits of speed, actuation, and decision‐making. Inspired by human multimodality, we present Apex, an embodied agent deployed on a super‐formula racing car at Yas Marina. Integrating physics‐informed perception, multimodal learning, and tasking, Apex cuts lap times by 15% and achieves ...
Yanxin Zhou   +13 more
wiley   +1 more source

Physics‐Embedded Neural Network: A Novel Approach to Design Polymeric Materials

open access: yesAdvanced Science, EarlyView.
Traditional black‐box models for polymer mechanics rely solely on data and lack physical interpretability. This work presents a physics‐embedded neural network (PENN) that integrates constitutive equations into machine learning. The approach ensures reliable stress predictions, provides interpretable parameters, and enables performance‐driven, inverse ...
Siqi Zhan   +8 more
wiley   +1 more source

Wideband Omnidirectional Antenna Featuring Small Azimuthal Gain Variation. [PDF]

open access: yesMicromachines (Basel), 2023
Zhang H   +5 more
europepmc   +1 more source

Surface‐Spin‐Induced Magnetic Loss Enhancement in Ultralight Electromagnetic Absorbers

open access: yesAdvanced Science, EarlyView.
Fe3O4 nanoparticles with different hollow rates were synthesized to demonstrate the key role of surface moment in magnetic loss process. Using the same volume filling ratio, the 54.1% hollow Fe3O4 absorber represents about 20% enhancement in the imaginary part (μ'') than solid particles due to the coexisting magnetic resonance of inside and outside ...
Ruimin Ren   +5 more
wiley   +1 more source

Increase the effectiveness of radar detection systems by adapting to the spatial orientation of the object of observation

open access: yesДоклады Белорусского государственного университета информатики и радиоэлектроники, 2019
An important aspect of creation of effective recognition systems is the adaptation of radiolocation portraits to the corners of the spatial orientation of the observed object.
S. N. Yarmolik   +3 more
doaj  

ON THE EFFICIENT METHODS OF PROTECTION OF THE EARTH FROM ASTEROIDS

open access: yesМіжнародний науково-технічний журнал "Проблеми керування та інформатики", 2007
The contemporary word-wide research publications considering the danger arising from cellestial bodies which cross the orbit of the Earth are analyzed.
I.A. Pilkevich
doaj   +1 more source

Strategy of Triple‐Gradient in Binary Pixels for Flexible Pressure Sensing with High Sensitivity and Wide‐Range Linearity

open access: yesAdvanced Science, EarlyView.
A flexible pressure sensor with triple‐gradient design of conductivity, modulus, and dimension in binary micro‐dome pixels is proposed. Based on precisely‐designed CNT/PDMS matrix, the device exhibits a linear sensitivity of 974.1 kPa−1 across range up to 1.8 MPa (R2 > 0.99), offering an effective strategy for potential applications in healthcare ...
Yifan Liu   +9 more
wiley   +1 more source

Radio-location of mobile stations in third generation networks

open access: yesVojnotehnički Glasnik, 2013
Mobile station localization in mobile networks started with simple methods (e.g. Cell-ID method) which required only slight modifications of network infrastructures.
Milan Manojle Šunjevarić   +2 more
doaj   +1 more source

Multitask Deep Learning Model for Predicting Lymph Node Metastasis and Disease‐Free Survival From Cytology Images in Bladder Cancer: A Multicenter Study With Pan‐Cytology Validation

open access: yesAdvanced Science, EarlyView.
Through self‐supervised pretraining and supervised fine‐tuning on large‐scale cytology image datasets, CytoNet predicts lymph node metastasis and survival. Across independent cohorts, this multitask framework demonstrates robust performance, improves risk stratification beyond radiological assessment, and provides interpretable evidence to support ...
Guibin Hong   +14 more
wiley   +1 more source

A Global Methane Observation System to Reduce Uncertainty for Anthropogenic and Natural Sources and Sinks for Detecting and Attributing Climate Feedbacks

open access: yesAdvanced Science, EarlyView.
Conceptual illustration of a Global Ecosystem Methane Observing System (GEM‐OS) integrating satellites, aircraft, atmospheric networks, and ecosystem measurements to quantify methane emissions from anthropogenic and natural sources. The multi‐scale observing framework improves source attribution, reduces uncertainty in regional methane budgets, and ...
P. Ciais   +32 more
wiley   +1 more source

Home - About - Disclaimer - Privacy