Results 51 to 60 of about 14,609 (251)

IPAD: Iterative pruning with activation deviation for sclera biometrics

Journal of King Saud University: Computer and Information Sciences, 2023
The sclera has recently been gaining attention as a biometric modality due to its various desirable characteristics. A key step in any type of ocular biometric recognition, including sclera recognition, is the segmentation of the relevant part(s) of the ...
Matej Vitek, Matic Bizjak, Peter Peer, Vitomir Štruc   +3 more
doaj   +1 more source

Leaftronics: Bio‐Fractal Scaffolds From Leaf Venation for Low‐Waste Electronics

Advanced Materials, EarlyView.
“Leaftronics” transforms naturally evolved leaf venation into quasi‐fractal scaffolds for sustainable electronics. Polymer‐infiltrated leaf skeletons can be used to fabricate ultra‐smooth, reflow‐ and thin‐film‐compatible decomposable substrates, while making the same lignocellulose networks conducting results in flexible transparent electrodes.
Rakesh Rajendran Nair, Hrisheekesh Thachoth Chandran, Karl Leo, Hans Kleemann   +3 more
wiley   +1 more source

Aggregation and Pruning for Continuous Incremental Multi-Task Inference

Mathematics
In resource-constrained mobile systems, efficiently handling incrementally added tasks under dynamically evolving requirements is a critical challenge.
Lining Li, Fenglin Cen, Quan Feng, Ji Xu
doaj   +1 more source

Data‐Driven Materials Science for Energy‐Sustainable Applications

Advanced Materials, EarlyView.
Data‐driven approaches powered by artificial intelligence are transforming materials discovery for energy sustainability. This review examines how auto‐generated high‐quality materials databases and domain‐specific language models accelerate research in photovoltaics, thermoelectrics, batteries and magnetic materials. Applications involve extraction of
Jacqueline M. Cole
wiley   +1 more source

Filter Pruning with Convolutional Approximation Small Model Framework

Computation, 2023
Convolutional neural networks (CNNs) are extensively utilized in computer vision; however, they pose challenges in terms of computational time and storage requirements. To address this issue, one well-known approach is filter pruning.
Monthon Intraraprasit, Orachat Chitsobhuk   +1 more
doaj   +1 more source

Demystifying Neural Network Filter Pruning

CoRR, 2018
Based on filter magnitude ranking (e.g. L1 norm), conventional filter pruning methods for Convolutional Neural Networks (CNNs) have been proved with great effectiveness in computation load reduction. Although effective, these methods are rarely analyzed in a perspective of filter functionality.
Zhuwei Qin, Fuxun Yu, Chenchen Liu, Xiang Chen 0010   +3 more
openaire   +2 more sources

A U‐shaped Microfluidic Platform for Culturing Vascularized Colorectal Cancer Spheroids Reveals Tumor–Endothelial Crosstalk and Invasion‐Associated Remodeling

Advanced Materials Technologies, EarlyView.
A closed U‐shaped microfluidic platform symmetrically embeds a single, size‐controlled HT29 colorectal cancer spheroid within a GFP‐HUVEC‐laden fibrin matrix. HT29 spheroids are associated with hyper‐branched endothelial network remodeling, while vascularized co‐culture is accompanied by anisotropic protrusive growth and EMT‐like marker changes in the ...
G. Cretti, M. Ballerini, A. Mantegazza, P. Occhetta, M. Rasponi   +4 more
wiley   +1 more source

Convolutional Neural Network Pruning Based on Channel Similarity Entropy [PDF]

Jisuanji gongcheng
Convolutional Neural Network(CNN) contain a large number of filters, which occupy significant memory resources for training and storage. Pruning filters is an effective method to reduce the scale of networks, free up memory, and enhance computing speed ...
Lili GENG, Baoning NIU
doaj   +1 more source

Target Capacity Filter Pruning Method for Optimized Inference Time Based on YOLOv5 in Embedded Systems

IEEE Access, 2022
Recently, convolutional neural networks (CNNs), which exhibit excellent performance in the field of computer vision, have been in the spotlight. However, as the networks become wider for higher accuracy, the number of parameters and the computational ...
Jihun Jeon, Jaemyung Kim, Jin-Ku Kang, Sungtae Moon, Yongwoo Kim   +4 more
doaj   +1 more source

Modulation of miR‐23b Wnt/β‐catenin Axis Strengthens Endothelial Barrier Properties

Advanced Science, EarlyView.
Early blood‐brain barrier (BBB) disruption contributes to stroke and CNS disease pathology. miR‐23b was identified as a regulator of BBB integrity in brain endothelial cells. Inhibition of miR‐23b enhanced barrier‐associated properties, promoted repair‐related signaling, and reduced BBB leakage in experimental stroke models, supporting further ...
Victor Anthony Martinez, Rose E. Presby, Sara Nakanishi, Pallavi Gaur, Ugur Akcan, Johannes Daugaard Krog, Iben Daugaard Krog, Lipi Das, David S. Johnson, Danny Jamoul, Douglas Jury, Brian Lawson, Jacob Körbelin, Lewis M. Brown, Vilas Menon, Dritan Agalliu, Irene Munk Pedersen   +16 more
wiley   +1 more source