Results 41 to 50 of about 80,323 (233)

Online Topology Inference from Streaming Stationary Graph Signals with Partial Connectivity Information

Algorithms, 2020
We develop online graph learning algorithms from streaming network data. Our goal is to track the (possibly) time-varying network topology, and affect memory and computational savings by processing the data on-the-fly as they are acquired.
Rasoul Shafipour, Gonzalo Mateos
doaj   +1 more source

From Single Atoms to Nanoparticles: Pathways Toward Efficient and Durable Pt/TiO2 Photocatalysts

Advanced Functional Materials, EarlyView.
Platinum single atoms on TiO2 nanosheets evolve into clusters and nanoparticles under ethanol photoreforming and thermal treatments. By controlling deposition and post‐treatments, particle size and location on specific facets are modulated. The study reveals how stability pathways determine efficiency, guiding the design of more durable photocatalysts.
Juan José Delgado, Enqi Bu, Yaning Han, Carlos López‐Cartes, Mónica Calatayud, Huiyan Pan, Xiaowei Chen   +6 more
wiley   +1 more source

Near Optimal Parallel Algorithms for Dynamic DFS in Undirected Graphs

, 2017
Depth first search (DFS) tree is a fundamental data structure for solving graph problems. The classical algorithm [SiComp74] for building a DFS tree requires $O(m+n)$ time for a given graph $G$ having $n$ vertices and $m$ edges. Recently, Baswana et al. [
Khan, Shahbaz
core   +1 more source

Nanoparticle Shape Dictates Catalytic Performance in Selective Hydrogenation of Butadiene Over Au‐Pd Core‐Shell Nanoparticles

Advanced Functional Materials, EarlyView.
Controlling the exposed crystal facet of shape‐controlled Au‐Pd core‐shell catalysts though colloidal synthesis enhances their catalytic performance in the industrially relevant selective hydrogenation of butadiene. ABSTRACT Selective hydrogenation of butadiene is a critical step in purification of alkene feedstocks for polymer production and is ...
Marta Perxés Perich, Jan‐Willem Lankman, Petra E. de Jongh, Jessi E. S. van der Hoeven   +3 more
wiley   +1 more source

Incremental Beta Distribution Weighted Fuzzy C-Ordered Means Clustering

Information
Streaming data is becoming more and more common in the field of big data and incremental frameworks can address its complexity. The BDFCOM algorithm achieves good results on common form datasets by introducing the ordering mechanism of beta distribution ...
Hengda Wang, Mohamad Farhan Mohamad Mohsin, Muhammad Syafiq Mohd Pozi, Zhu Zeng   +3 more
doaj   +1 more source

Mixed‐Metal Promotion in a Manganese‐Molybdenum Oxynitride as Catalyst to Integrate C─C and C─N Coupling Reactions for the Direct Synthesis of Acetonitrile from Syngas and Ammonia

Advanced Materials, EarlyView.
Transition metal oxy/carbo‐nitrides show great promise as catalysts for sustainable processes. A Mn‐Mo mixed‐metal oxynitride attains remarkable performance for the direct synthesis of acetonitrile, an important commodity chemical, via sequential C─N and C─C coupling from syngas (C1) and ammonia (N1) feedstocks.
M. Elena Martínez‐Monje, Wilson Henao, Tania Rodenas, Patricia Concepción, Virginia Pérez Dieste, Alexander Missyul, Giovanni Agostini, Gonzalo Prieto   +7 more
wiley   +1 more source

An encrypted network video stream dataset

Data in Brief, 2023
Most of the video content on the Internet today is distributed through online streaming platforms. To ensure user privacy, data transmissions are often encrypted using cryptographic protocols.
Jan Fesl, Daniel Sedlák, Tomáš Macák, Marie Feslová, Michal Konopa   +4 more
doaj   +1 more source

Tuning Amorphous‐Crystalline Catalytic Interfaces by Mechanochemistry: Cu‐Based Metallic Glasses Coupled with Ceria for CO Oxidation

Advanced Materials, EarlyView.
Ball‐milling Cu‐based metallic glasses with ceria creates a unique nanostructure where metallic glass particles are wrapped by CeO2 nanoparticles. The intimate integration triggers copper state reorganization during reaction and aging, boosting CO oxidation and COPrOx activity.
Maahin Mirzay‐Shahim, Mehran Nabahat, Laia Pascua‐Solé, Isabel Serrano, Ilaria Lucentini, Xènia Garcia, Marina Armengol‐Profitós, Asier Agrelo‐Lestón, Ignasi Burgués‐Ceballos, Núria J. Divins, Ignacio J. Villar‐Garcia, Virginia Pérez‐Dieste, Carlos Escudero, Carlo Marini, Jordi Llorca, Eloi Pineda, Pere Bruna, Lluís Soler   +17 more
wiley   +1 more source

Designing a Streaming Algorithm for Outlier Detection in Data Mining—An Incrementa Approach

Sensors, 2020
To design an algorithm for detecting outliers over streaming data has become an important task in many common applications, arising in areas such as fraud detections, network analysis, environment monitoring and so forth.
Kangqing Yu, Wei Shi, Nicola Santoro
doaj   +1 more source

Feature Selection: A Data Perspective

, 2017
Feature selection, as a data preprocessing strategy, has been proven to be effective and efficient in preparing data (especially high-dimensional data) for various data mining and machine learning problems.
Cheng, Kewei, Li, Jundong, Liu, Huan, Morstatter, Fred, Tang, Jiliang, Trevino, Robert P., Wang, Suhang   +6 more
core   +1 more source