Results 31 to 40 of about 21,063 (212)

Additive Gaussian Process Regression for Predictive Design of High‐Performance, Printable Silicones

Advanced Engineering Materials, EarlyView.
A chemistry‐aware design framework for tuning printable polydimethylsiloxane (PDMS) for vat photopolymerization (VPP) is developed using additive Gaussian process (GP) modeling. Polymer network mechanics informs variable groupings, feasible formulation constraints, and interaction variables.
Roxana Carbonell, Martha Leach, Hongtao Song, Carolyn Seepersad   +3 more
wiley   +1 more source

Electro‐Steric Ion Confinement in Polyelectrolyte Networks for Robust Nonvolatile Artificial Synapse

Advanced Functional Materials, EarlyView.
Polyelectrolyte stoichiometry governs ion transport and retention in electrolyte‐gated synaptic transistors. A PSS‐rich network creates electro‐steric ion confinement that suppresses ion back‐diffusion and stabilizes channel doping, enabling robust nonvolatile synaptic memory, linear weight updates, and low‐energy operation.
Donghwa Lee, Jinbo Kim, Myeongjin An, Jisoo Park, Junho Sung, Eunsung Hwang, Suhwan Seok, Seong‐Min Bak, Jeonghun Kim, Eunho Lee   +9 more
wiley   +1 more source

NTCE-KD: Non-Target-Class-Enhanced Knowledge Distillation

Sensors
Most logit-based knowledge distillation methods transfer soft labels from the teacher model to the student model via Kullback–Leibler divergence based on softmax, an exponential normalization function. However, this exponential nature of softmax tends to
Chuan Li, Xiao Teng, Yan Ding, Long Lan
doaj   +1 more source

Transformer-Based Knowledge Distillation with Ghost Attention for Multimodal Edge-Based Smart Surveillance [PDF]

ITM Web of Conferences
In the modern era, knowledge distillation has gained attention as an important technique for edge-based smart surveillance that integrates accurate yet lightweight deployable models on resource-constrained devices.
Sataar Zahrah
doaj   +1 more source

Artery‐on‐Chip Demonstrates Mechanical and Functional Features of Healthy and Diseased Living Smooth Muscle Tissue

Advanced Functional Materials, EarlyView.
This article details the development of an artery‐on‐chip platform for in vitro arterial disease modeling and therapeutic discovery. It describes the fabrication of a fibrin biomaterial scaffold seeded with iPSC‐derived smooth muscle and endothelial cells, mimicking native artery properties. Two genetic disease models showcase the platform's ability to
Danielle Yarbrough, Roy Chen, Katerina Katsouleas, Jaron Shoemaker, Travis Brady, Tianfang Yu, Jennifer Arthur Ataam, Connor Amelung, Lakshmi Santhanam, Ioannis Karakikes, Sharon Gerecht   +10 more
wiley   +1 more source

Knowledge distillation of face recognition via attention cosine similarity review

IET Computer Vision
Deep learning‐based face recognition models have demonstrated remarkable performance in benchmark tests, and knowledge distillation technology has been frequently accustomed to obtain high‐precision real‐time face recognition models specifically designed
Zhuo Wang, SuWen Zhao, WanYi Guo
doaj   +1 more source

Distilling Diverse Knowledge for Deep Ensemble Learning

IEEE Access
Bidirectional knowledge distillation improves network performance by sharing knowledge between networks during the training of multiple networks. Additionally, performance is further improved by using an ensemble of multiple networks during inference ...
Naoki Okamoto, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi   +3 more
doaj   +1 more source

Named Entity Recognition Model Based on k-best Viterbi Decoupling Knowledge Distillation [PDF]

Jisuanji kexue yu tansuo
Knowledge distillation is a general approach to improve the performance of the named entity recognition (NER) models. However, the classical knowledge distillation loss functions are coupled, which leads to poor logit distillation.
ZHAO Honglei, TANG Huanling, ZHANG Yu, SUN Xueyuan, LU Mingyu
doaj   +1 more source

2D Co‐Mo‐Hydroxide‐Based Multifunctional Material for the Development of H2‐Based Clean Energy Technologies

Advanced Materials, EarlyView.
2D α‐Co(OH)2 interleaved with Mo species displays an appealing dual functionality for the production and use of green hydrogen.Mo incorporation greatly benefits the electrochemical behaviour in Oxygen Evolution Reaction for H2 production, while the magnetocaloric response at liquid H2 temperature paves the way for alternative cryogenic refrigerants ...
Daniel Muñoz‐Gil, Celia Castillo‐Blas, Dawid Krystian Feler, Isabel Gómez‐Recio, Miguel Tinoco, Ana Querejeta‐Fernández, Rodrigo González‐Prieto, Felipe Gándara, Romualdo Santos Silva Jr, Pilar Ferrer, Carlos Prieto, Luc Lajaunie, José Luis Martinez‐Peña, María Luisa Ruiz‐González, José María González‐Calbet   +14 more
wiley   +1 more source

Predicting Subsurface Layer Thickness and Seismic Wave Velocity Using Deep Learning: Knowledge Distillation Approach

IEEE Access
Seismic interpretation is a crucial task in geophysics, requiring accurate prediction of subsurface layer thickness and seismic wave velocity. Traditional methods are computationally intensive and often hindered by noise in seismic data.
Amir Moslemi, Anna Briskina, Jason Li, Zubeka Dang, Peyman Moghaddam   +4 more
doaj   +1 more source