Results 161 to 170 of about 1,566,699 (318)

Continual Learning for Multimodal Data Fusion of a Soft Gripper

open access: yesAdvanced Robotics Research, EarlyView.
Models trained on a single data modality often struggle to generalize when exposed to a different modality. This work introduces a continual learning algorithm capable of incrementally learning different data modalities by leveraging both class‐incremental and domain‐incremental learning scenarios in an artificial environment where labeled data is ...
Nilay Kushawaha, Egidio Falotico
wiley   +1 more source

Geodesic flow kernel for unsupervised domain adaptation

open access: yes2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012
Boqing Gong   +3 more
semanticscholar   +1 more source

Gait Analysis of Pak Biawak: A Necrobot Lizard Built using the Skeleton of an Asian Water Monitor (Varanus Salvator)

open access: yesAdvanced Robotics Research, EarlyView.
Pak Biawak, a necrobot, embodies an unusual fusion of biology and robotics. Designed to repurpose natural structures after death, it challenges conventional boundaries between nature and engineering. Its movements are precise yet unsettling, raising questions about sustainability, ethics, and the untapped potential of biointegrated machines.
Leo Foulds   +2 more
wiley   +1 more source

Kernel

open access: yes, 2008
The kernel is the subset of an operating system's functions that must be executed in privileged or supervisor mode.January 2008 Rev 5/26/08 The kernel is the subset of operating system functions that must be executed in privileged mode.
openaire   +3 more sources

Using Bayesian Optimization to Increase the Efficiency of III‐V Multijunction Solar Cells

open access: yesAdvanced Theory and Simulations, EarlyView.
Technology Computer Aided Design (TCAD) modeling is crucial for designing complex optoelectronic devices like III‐V multijunction solar cells. Bayesian optimization is proposed as a robust method to address challenges in optimizing costly black‐box TCAD solvers.
Pablo F. Palacios, Carlos Algora
wiley   +1 more source

Deep Learning Approach for Predicting Efficiency in Organic Photovoltaics from 2D Molecular Images of D/A Pairs

open access: yesAdvanced Theory and Simulations, EarlyView.
This study highlights the potential of deep learning, particularly Convolutional Neural Networks (CNNs), for predicting the photovoltaic performance of organic solar cells. By leveraging 2D images representing donor/acceptor molecular pairs, the model accurately estimates key performance indicators proving that this image‐based approach offers a fast ...
Khoukha Khoussa   +2 more
wiley   +1 more source

VDLIN: A Deep Learning‐Based Platform for Methylcobalamin‐Inspired Immunomodulatory Compound Screening

open access: yesAdvanced Science, EarlyView.
Using the convolutional neural network model VDLIN, Co7 is identified as a promising therapeutic candidate. Co7 demonstrates distinct advantages over MCB by effectively balancing anti‐inflammatory and immune‐stimulatory functions, making it a potential novel approach for immune modulation.
Xuefei Guo   +6 more
wiley   +1 more source

On Evans’ kernel [PDF]

open access: yesPacific Journal of Mathematics, 1967
openaire   +2 more sources

Bisphenol B Exposure Induces Miscarriage by Suppressing Migration/Invasion and Migrasome Formation

open access: yesAdvanced Science, EarlyView.
BPB (Bisphenol B) exposure up‐regulates ER (estrogen receptor) levels, enhances its interactions with the lnc‐HZ04 promoter region, and thus promotes ER‐mediated lnc‐HZ04 transcription. Subsequently, lnc‐HZ04 suppresses TCF4 (transcription factor 4)‐mediated PKCA (protein kinase C alpha) transcription and subsequently suppresses migration/invasion and ...
Wenxin Huang   +13 more
wiley   +1 more source

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