Results 101 to 110 of about 141,062 (268)

Comparative Knowledge Distillation

2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
In the era of large scale pretrained models, Knowledge Distillation (KD) serves an important role in transferring the wisdom of computationally heavy teacher models to lightweight, efficient student models while preserving performance. Traditional KD paradigms, however, assume readily available access to teacher models for frequent inference -- a ...
Wilf, Alex, Xu, Alex Tianyi, Liang, Paul Pu, Obolenskiy, Alexander, Fried, Daniel, Morency, Louis-Philippe   +5 more
openaire   +2 more sources

Relationship of Dye Adsorption Onto Biomass Activated Carbon Mixed Matrix Ultrafiltration: A Mass Transfer Model Study

Advanced Materials Interfaces, EarlyView.
This study explored dye molecule adsorption from water, focusing on activated carbon in polymer membranes for purifying low‐quality water. Polyvinylidene fluoride (PVDF) membranes showed enhanced removal efficiency of methylene blue (MB) from 89.29% to 98.33% with biomass‐activated carbon (BAC).
Khairul Anwar Mohamad Said, Shaiza Asif, Siti Zahara May Abdullah, Ibrahim Yakub, Harunal Rejan Ramji, Md Rezaur Rahman   +5 more
wiley   +1 more source

High Stability of Diketopyrrolopyrrole Polymer Transistors Under Aqueous Condition Toward Biosensing Platform

Advanced Materials Technologies, EarlyView.
We are reporting the first‐time investigation of DPP‐based Organic Field‐Effect Transistor (OFET) devices with high‐stability of signal response in both of ambient and aqueous conditions with PBS solution. ABSTRACT Diketopyrrolopyrrole (DPP)–based conjugated polymers show strong promise for electronic applications, including bioelectronic gas sensors ...
Chattarika Khamhanglit, Yudai Hemmi, Ami Ichikawa, YuanTong Gu, Kuniaki Nagamine, Hiroyuki Matsui, Prashant Sonar   +6 more
wiley   +1 more source

Nanoporous Microelectrodes for Neural Electrophysiology Recordings in Organotypic Culture

Advanced Materials Technologies, EarlyView.
The highly porous microelectrodes have been designed and printed on culture membranes, allowing to record electrophysiological neural activity for rodent brain slices. To keep the biocompatible nanoporous structure, the microelectrodes and insulative layer are fabricated on the bottom of culture membranes with only small connector pads added on the top.
Petro Lutsyk, Debjani Goswami, Stephen Worrall, Stuart D. Greenhill   +3 more
wiley   +1 more source

A Named Entity Recognition Method Based on Knowledge Distillation and Efficient GlobalPointer for Chinese Medical Texts

IEEE Access
The task of named entity recognition has been widely used in medical text analysis, but there is still the problem of poor transfer ability in practical applications.
Zhengwei Zhai, Rongli Fan, Jie Huang, Neal N. Xiong, Lijuan Zhang, Jian Wan, Lei Zhang   +6 more
doaj   +1 more source

Distilling Hubert with LSTMs via Decoupled Knowledge Distillation

ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Much research effort is being applied to the task of compressing the knowledge of self-supervised models, which are powerful, yet large and memory consuming. In this work, we show that the original method of knowledge distillation (and its more recently proposed extension, decoupled knowledge distillation) can be applied to the task of distilling ...
de Oliveira, Danilo, Gerkmann, Timo
openaire   +2 more sources

Accelerating Discovery to Deployment: Argonne's Materials Engineering Research Facility (MERF) and Its Role in Scaling Materials Technologies for Water and Resource Solutions

Advanced Materials Technologies, EarlyView.
In this Perspective, we highlight the processing science and scale‐up capabilities of the Materials Engineering Research Facility (MERF) at the U.S. Department of Energy's Argonne National Laboratory, with an emphasis on practical solutions for sustainable water and critical resource recovery. We demonstrate how national laboratories bridge fundamental
Yuepeng Zhang, Bratin Sengupta, Xiaoao Shi, Haihui Pu, Jeffrey W. Elam, Gregory K. Krumdick, Jessica Durham Macholz, Allison Bennett Irion, Junhong Chen, Seth B. Darling   +9 more
wiley   +1 more source

MFD-KD: Multi-Scale Frequency-Driven Knowledge Distillation

Big Data Mining and Analytics
Knowledge Distillation (KD), which focuses on transferring semantic knowledge from a parameter-heavy teacher network to a more compact student network, has been widely and successfully used across plenty of computer vision tasks like image/video ...
Tao Dai, Rongliang Huang, Hang Guo, Jinbao Wang, Bo Li, Zexuan Zhu   +5 more
doaj   +1 more source

Additive Manufacturing of Ni‐Based Thermoelectric Materials for Waste Heat Recovery

Advanced Materials Technologies, EarlyView.
Thermoelectric generators convert waste heat into electricity but are constrained by conventional fabrication. Here, laser powder bed fusion enables direct printing of customised n‐type Cu60Ni40 and p‐type Ni90Cr10 legs. The assembled module achieves 0.8% efficiency at ΔT = 419 K, demonstrating scalable additive manufacturing of eco‐friendly, design ...
Karolin Amstein, Aayush Dobhal, Heiko Reith, Ran He, Julia Kristin Hufenbach, Kornelius Nielsch, Pingjun Ying   +6 more
wiley   +1 more source

Learning Highly Dynamic Skills Transition for Quadruped Jumping Through Constrained Space

Advanced Robotics Research, EarlyView.
A quadruped robot masters dynamic jumps through constrained spaces with animal‐inspired moves and intelligent vision control. This hierarchical learning approach combines imitation of biological agility with real‐time trajectory planning. Although legged animals are capable of performing explosive motions while traversing confined spaces, replicating ...
Zeren Luo, Jiahui Zhang, Yimin Han, Ji Ma, Minghao Lu, Ioannis Havoutis, Peng Lu   +6 more
wiley   +1 more source