Results 131 to 140 of about 76,158 (290)

Neuromorphic Devices and Computing for Sensing, Memory, and Control

Advanced Science, EarlyView.
This review introduces neuromorphic devices made from diverse materials. These devices mimic neuronal functions and architectures and, when integrated with artificial or biological computing, can form closed loops with neurons for pressure, optical, acoustic, and biochemical sensing and modulation.
Zhengguang Zhu, Nicholas Schaffer, Xiao Yang   +2 more
wiley   +1 more source

SQL Injection Detection Based on Lightweight Multi-Head Self-Attention

Applied Sciences
This paper presents a novel neural network model for the detection of Structured Query Language (SQL) injection attacks for web applications. The model features high detection accuracy, fast inference speed, and low weight size.
Rui-Teng Lo, Wen-Jyi Hwang, Tsung-Ming Tai   +2 more
doaj   +1 more source

A Site‐Aware Representation Learning Framework For Unified Molecular Interaction Modeling and Generative Design

Advanced Science, EarlyView.
MolDBG is a site‐aware, sequence‐only framework that unifies drug‐target affinity prediction, binding‐site identification, and affinity‐conditioned molecular generation for structured proteins. Guided by multi‐task binding‐site supervision, it aligns interaction‐critical residues before learning drug‐target representations and simultaneously infers ...
Gang Luo, Qianqian Zhang, Chenhao Wang, Zhiheng Yi, Alex Jinpeng Wang, Jing Tang, Min Li   +6 more
wiley   +1 more source

Advancing Parsimonious Deep Learning Weather Prediction Using the HEALPix Mesh

Journal of Advances in Modeling Earth Systems
We present a parsimonious deep learning weather prediction model to forecast seven atmospheric variables with 3‐hr time resolution for up to 1‐year lead times on a 110‐km global mesh using the Hierarchical Equal Area isoLatitude Pixelization (HEALPix ...
Matthias Karlbauer, Nathaniel Cresswell‐Clay, Dale R. Durran, Raul A. Moreno, Thorsten Kurth, Boris Bonev, Noah Brenowitz, Martin V. Butz   +7 more
doaj   +1 more source

Multiplexed Profiling of Individual Extracellular Vesicles Reveals Lung Cancer‐Associated Protein Signatures

Advanced Science, EarlyView.
Cygnus (Cyclic‐imaging gateway to nanovesicles underlying signature) integrates multiplexed single‐EV protein imaging with a practical analysis workflow to examine EV phenotypes at vesicle, subpopulation, and sample scales. ABSTRACT Lung cancer is frequently diagnosed after curative treatment windows have narrowed, creating a need for minimally ...
Mi Hyeon Cho, Yein Chung, Yoonjeong Choi, Baekdong Cha, Jayeon Song, Nuri Oh, Ala Jo, Thomas S. C. Ng, Hyunho Kim, Hyun‐Kyung Woo, Chang Hyun Kim, Cesar M. Castro, Miles A. Miller, Hakho Lee   +13 more
wiley   +1 more source

Artificial Intelligence‐Empowered Single‐Cell Phenotyping for Rapid, Automated Pathogen Diagnostics

Advanced Science, EarlyView.
This work presents an integrated diagnostic platform that combines microfluidic single‐cell bacterial detection with artificial intelligence‐driven analysis for rapid antimicrobial susceptibility testing. Single‐cell phenotyping enables assessment of antibiotic response in only a few cell replication cycles, while AI analysis supports precise bacterial
Sabita Khadka, Bushra Raahat, Spyros Tragoudas, Hui Li   +3 more
wiley   +1 more source

Deep‐Learning‐Based Denoising for Improved Phase Precision in Electron Holography of Electromagnetic Fields in Nanoscale Materials

Advanced Science, EarlyView.
Low‐dose electron holography is limited by shot noise, which buries weak phase signals. HoloDenoiser, a physics‐informed network that works simultaneously in the spatial and frequency domains, locates and protects the holographic sideband while suppressing noise in the hologram.
Ye Luo, Luyang Wang, Zhiling Yu, Xiaowen Chen, Xiaoyu Wang, Ya‐Hui Jia, Thibaud Denneulin, Yu Han, Rafal E. Dunin‐Borkowski, Fengshan Zheng, Qi Liu   +10 more
wiley   +1 more source

Dual pKa Lipid Nanoparticles for Lung‐tropic mRNA Delivery and pH‐Programmed Endosomal Escape

Advanced Science, EarlyView.
Lipid nanoparticles’ bottleneck lies in low endosomal escape efficiency and liver‐dominant delivery after intravenous administration. To overcome these limitations, we present a stepwise pH‐programmed lipid nanoparticle system enabled by our newly synthesized ionizable lipid.
Seong Gi Lim, Minju Lee, Yiming Wang, Eunjin Choi, Ji Sun Park, Kyungmin Park, Hayoung Jeon, Donghyun Kim, Donghyun Lee, Yeeun Lee, Kee‐Pyo Kim, Eunha Kim, Heebeom Koo   +12 more
wiley   +1 more source

An Optimized Freeze‐Dry Multimodal Workflow for Sequential Micro‐CT Imaging, Histology, and Molecular Profiling: A Use Case in Human Liver Fibrosis

Advanced Science, EarlyView.
Optimized freeze‐drying and eosin staining deliver artifact‐free micro‐CT images of liver tissue at near‐histological detail, then hand the same specimen back for sectioning, staining, and sequencing. Fibrotic volume distinguishes normal liver from cirrhosis, while preserved RNA reveals inflammatory gene upregulation—one biopsy, three dimensions, and a
Kristijan Skok, Laura Činč Ćurić, Jernej Vajda, Silvia Schauer, Martin Wagner, Rudolf Stauber, Carolin Lackner, Karl Kashofer, Markus Plass, Giovanny Rodriguez Blanco, Ian R. Wanless, Uroš Maver, Katrin Panzitt, Boštjan Vihar   +13 more
wiley   +1 more source

NVidia CUDA Technology

, 2009
Tato diplomová práce se zabývá zkoumáním možností akcelerace obecných algoritmů na grafických procesorech firmy NVIDIA. Nejprve je zde uveden popis paralelních architektur a paralelního programování, další část je určena detailům architektury NVIDIA CUDA.
Ziegler, Zdeněk
core   +2 more sources