Results 121 to 130 of about 6,986 (292)

yaImpute: An R Package for kNN Imputation

This article introduces yaImpute, an R package for nearest neighbor search and imputation. Although nearest neighbor imputation is used in a host of disciplines, the methods implemented in the yaImpute package are tailored to imputation-based forest ...
Andrew O. Finley, Nicholas L. Crookston
core  

Theory Guided Fine‐Tune of Strain Effects in Pt Ternary Alloy via Rare Earth Templating: Achieving High Performance PEMFCs Catalysts

Advanced Materials, EarlyView.
Theory‐guided strain engineering and rare‐earth templating are combined to create Pt5(Ce)Co@Pt multilayer nanoparticles with a Pt5Co‐like sublayer that fine‐tunes *OH binding near the ORR volcano optimum. The resulting catalyst delivers exceptional mass activity and remarkable long‐term PEMFC durability, revealing a strategy for designing highly active
Qi Zhang, Hong Zhang, Sungho Jeon, Erika Ortega Ortiz, Brooke E. Vander Pas, Guangqi Zhu, Yi‐Kai Lien, Chenzhao Li, Huayu Guo, Baixu Zhu, Yaroslav Losovyj, Gabriel M. Filippelli, Xingchen Ye, Eric A Stach, Ping Liu, Jian Xie   +15 more
wiley   +1 more source

Filtered Approximate Nearest Neighbor Search Cost Estimation

CoRR
Hybrid queries combining high-dimensional vector similarity with structured attribute filtering have garnered significant attention across both academia and industry. A critical instance of this paradigm is filtered Approximate k Nearest Neighbor (AKNN) search, where embeddings (e.g., image or text) are queried alongside constraints such as labels or ...
Wenxuan Xia, Mingyu Yang, Wentao Li 0001, Wei Wang 0011   +3 more
openaire   +2 more sources

Approximate Nearest Neighbor Search for Labelled Trees

, 2004
In many scientific areas there is a frequent need to extract a common pattern from multiple data. In most cases, however, an approximate but low cost solution is preferred to a high cost exact match.
Kovács, László, Baksa-Varga, Erika, Répási, Tibor   +2 more
core  

Advances in Magnesium‐Based Thermoelectrics: A Critical Review

Advanced Materials, EarlyView.
Magnesium‐based thermoelectric materials have emerged as promising candidates for low‐to‐mid‐temperature energy conversion due to their abundance, low cost, and competitive performance. This review summarizes recent advances in Mg3X2, MgAgSb, and Mg2X systems, covering transport mechanisms, fabrication strategies, stability challenges, and device ...
Li‐Min Zhang, Li Zhang, Nan‐Hai Li, Yan‐Ling Yang, Xiao‐Lei Shi, Zhi‐Gang Chen   +5 more
wiley   +1 more source

Cost-Aware Decoupled Optimization for Graph-Based Vector Index Tuning With Adaptive Budget Allocation

IEEE Access
Graph-based vector indexes expose a hierarchical parameter structure: build-time parameters determine the index topology and are fixed after construction, while search-time parameters control query traversal on the fixed graph. Existing auto-tuners treat
Hyeonbyeong Lee, Sangho Song, Donghyeon Cha, Dojin Choi, Kyoungsoo Bok, Jaesoo Yoo   +5 more
doaj   +1 more source

Large Scale Nearest Neighbor Search - Theories, Algorithms, and Applications

, 2014
We are witnessing a data explosion era, in which huge data sets of billions or more samples represented by high-dimensional feature vectors can be easily found on the Web, enterprise data centers, surveillance sensor systems, and so on.
He, Junfeng
core   +1 more source

Weaving Intelligence: Thermally Drawn Multimaterial Fibers Toward AI‐Enabled Smart Textiles

Advanced Materials, EarlyView.
Thermally drawn multimaterial fibers are rapidly advancing as intelligent structural units for next‐generation smart textiles. Integrating multimaterial architectures with neuromorphic and spiking‐neural‐network principles enables fabrics that can sense, compute, and adapt autonomously.
Vuong Dinh Trung, Jiaxiang Yi, Hieu Nguyen‐Duc, Tien Nu Hoang Lo, Weili Zhao, Chaoqun Dong, Fabien Sorin, Baris Caglar, Lei Wei, Tung Nguyen‐Dang   +9 more
wiley   +1 more source

Approximate nearest neighbor hybrid query algorithm based on tolerance factor

大数据
Approximate nearest neighbor search (ANNS) is an important technique in the field of computer science for efficient similarity search, enabling fast information retrieval in large-scale datasets.With the increasing demand for high-precision information ...
Guangfu HE, Yuanhai XUE, Cuiting CHEN, Xiaoming YU, Xinran LIU, Xueqi CHENG   +5 more
doaj  

Self-organizing binary encoding for approximate nearest neighbor search

, 2016
Approximate Nearest Neighbor (ANN) search for indexing and retrieval has become very popular with the recent growth of the databases in both size and dimension.
Moncef Gabbouj, Ezgi Can Ozan, Hu, Xiaohua, Serkan Kiranyaz, Xiaohua Hu, Ozan, Ezgi Can, Kiranyaz, Serkan, Gabbouj, Moncef   +7 more
core   +1 more source