Results 81 to 90 of about 24,671,802 (285)

Multi-view positive and unlabeled learning [PDF]

open access: yes, 2012
Learning with Positive and Unlabeled instances (PU learning) arises widely in information retrieval applications. To address the unavailability issue of negative instances, most existing PU learning approaches require to either identify a reliable set of
Tsang, IW   +7 more
core  

Closed‐Loop Solid‐State Synthesis Planning for Materials Discovery With Large Language Models

open access: yesAdvanced Materials, EarlyView.
Leveraging literature data, we build a large‐language‐model‐driven workflow that extracts synthesis steps from 4407 papers, retrieves similar precedents, and generates candidate solid‐state synthesis recipes. The system benchmarks against ground‐truth and then operates in a closed loop with experiments to synthesize oxy‐selenide electrolyte materials ...
Dong Won Jeon   +9 more
wiley   +1 more source

CVA-Net: Multi-View 3D Reconstruction for Fringe Projection Profilometry via Cross-View Attention and Sim2Real Learning

open access: yesPhotonics
Fringe projection profilometry (FPP) is widely used for 3D reconstruction, but conventional single-view FPP systems suffer from inherent occlusions and shadow regions, leading to incomplete surface recovery.
Zuqiong Chen, Xiaopin Zhong, Yibin Tian
doaj   +1 more source

Review of Inorganic Separator Engineering for Next‐Generation Lithium–Sulfur Batteries: Compromise or Cornerstone?

open access: yesAdvanced Materials, EarlyView.
Inorganic compound‐modified separators transform lithium–sulfur batteries from passive polysulfide confinement to active reaction‐pathway regulation. A Practical Relevance Index (PRI)‐guided framework bridges interfacial chemistry of inorganic separators with practical constraints, establishing unified design principles for scalable, high‐energy ...
Yuting Qin   +7 more
wiley   +1 more source

Multi-view Stereo Reconstruction with Context-guided Cost Volume and Depth Refinemen [PDF]

open access: yesJisuanji kexue
In response to the challenges in deep learning-based multi-view stereo(MVS) reconstruction algorithms,which include incomplete image feature extraction,ambiguous cost volume matching,and the accumulation of depth errors leading to poor reconstruction ...
CHEN Guangyuan, WANG Zhaohui, CHENG Ze
doaj   +1 more source

Conformal Thermoreversible Gelatin‐Based Gel for High‐Fidelity Electrophysiological Recording and Acute Peripheral Nerve Interfacing

open access: yesAdvanced Materials, EarlyView.
A thermoreversible gelatin‐based gel forms a soft, conformal bioelectronic interface on complex biological surfaces. The flowable precursor penetrates hair‐dense regions, solidifies in situ, and maintains low impedance through adaptive contact and hydration retention.
Ruinan Hao   +9 more
wiley   +1 more source

A Review of Clustering Algorithms Based on Anchor Point Acceleration Mechanism

open access: yesShanghai Jiaotong Daxue xuebao
With the advent of the big data era, clustering algorithms have become pivotal in data mining and machine learning. However, the exponential growth in data size and dimensionality has resulted in escalating time and space complexities for traditional ...
WU Qinting, FENG Yuzhe, PAN Jinyan, ZHANG Haifeng, CAO Chao, GAO Yunlong
doaj   +1 more source

Hyperbolic Enhanced Representation Learning for Incomplete Multi-view Clustering

open access: yesCoRR
Incomplete Multi-View Clustering (IMVC) faces the challenge of learning discriminative representations from fragmentary observations while maintaining robustness against missing views. However, prevalent Euclidean-based methods suffer from a geometric mismatch when modeling real-world data with intrinsic hierarchies, leading to semantic blurring where ...
Tianyi Chen   +7 more
openaire   +2 more sources

Decoding Synergistic Pathways in Bimetallic MOFs for Advanced Oxidation Processes

open access: yesAdvanced Materials, EarlyView.
This review presents a unified framework linking metal pairing and framework design with electronic structure, redox cycling, oxidant activation, reactive‐species generation, and catalytic performance across photocatalytic and oxidant‐based BMOF‐AOPs. The resulting design principles guide the development of hydrolytically stable and efficient BMOFs for
Karim El‐Naggar   +2 more
wiley   +1 more source

A reinforcement learning approach to solving incomplete market models with aggregate uncertainty [PDF]

open access: yes
We develop a method of solving heterogeneous agent models in which individual decisions depend on the entire cross-sectional distribution of individual state variables, such as incomplete market models with liquidity constraints.
Andrei Jirnyi, Vadym Lepetyuk
core  

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