Results 61 to 70 of about 7,841,807 (278)
MathematicsLocality-sensitive hashing (LSH) has been widely used for c-approximate nearest neighbor search (c-ANNS) in high-dimensional spaces. However, its retrieval performance degrades as the dataset size grows.
Zongyuan Tan +4 more
doaj +1 more source
End to End Neural Retrieval for Patent Prior Art Search
, 2022 AbstractThis research will examine neural retrieval methods for patent prior art search. One research direction is the federated search approach, where we proposed two new methods that solve the results merging problem in federated patent search using machine learning models.
openaire +1 more source
A study of query expansion methods for patent retrieval [PDF]
, 2011 Patent retrieval is a recall-oriented search task where the objective is to find all possible relevant documents. Queries in patent retrieval are typically very long since they take the form of a patent claim or even a full patent application in the ...
Magdy, Walid, Jones, Gareth J.F.
core +2 more sources
Advanced Functional Materials, EarlyView.Mask‐encoded UV exposure translates digital color information into pixel‐resolved structural‐color patterns in hydroxypropyl cellulose gels. Gaussian‐process‐guided calibration links UV processing conditions, wavelength, and mask opacity, enabling parallel fabrication of multicolor images in a single 10 s exposure.
Mengting Ye +8 more
wiley +1 more source
Exceptional Electro‐Optic Coefficient Unlocked via Polarization Swaying in KNbO3 Thin Films
Advanced Functional Materials, EarlyView.We present the largest reported electro‐optic response in any material to date, guided by a new design principle that exploits ultralow coercive field polarization swaying enabled by low‐symmetry ferroelectric phases in monoclinic KNbO3 thin films for energy‐efficient classical and quantum photonic integrated circuits. ABSTRACT The electro‐optic effect
Sankalpa Hazra +11 more
wiley +1 more source
Organic Materials of Tomorrow: Horizons of Artificial Intelligence
Advanced Materials, EarlyView.This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena +3 more
wiley +1 more source
Algorithms for Molecular Biology, 2011 Background Position-specific priors (PSP) have been used with success to boost EM and Gibbs sampler-based motif discovery algorithms. PSP information has been computed from different sources, including orthologous conservation, DNA duplex stability, and ...
Oliveira Arlindo L, Carvalho Alexandra M
doaj +1 more source
Laser‐Assisted Phase Engineering of 2D MoS2 for Efficient Solution‐Processed Electronics
Advanced Materials, EarlyView.Here, local laser‐assisted phase transition from solution‐processed phase‐pure 1T′ to 2H MoS2 is shown to critically depend on the irradiation atmosphere. While processing in air leads to damaged insulating regions, inert conditions yield semiconducting 2H domains, enabling direct field‐effect transistor patterning with optimized lateral 1T′‐2H MoS2 ...
Anna Zhuravlova +10 more
wiley +1 more source
Cyber Threat Hunting Method Based on Large Language Model and Reinforcement Learning [PDF]
Jisuanji gongchengCyber Threat Hunting (CTH) enables rapid response to attack events through proactive discovery of attack clues and malicious evidence. Although existing CTH algorithms can search extensive information sources, they face challenges in real-world scenarios
CUI Zeyuan, GE Wenhan, WANG Junfeng
doaj +1 more source
Complex & Intelligent Systems, 2023 Designing reasonable architectures of convolutional neural network (CNN) for specific image segmentation remains a challenging task, as the determination of the structure and hyperparameters of CNN depends heavily on expertise and requires a great deal ...
Wei Wang, Xianpeng Wang, Xiangman Song
doaj +1 more source