Results 81 to 90 of about 2,841,275 (318)

Weighting Scheme for a Pairwise Multi-label Classifier Based on the Fuzzy Confusion Matrix

, 2018
In this work we addressed the issue of applying a stochastic classifier and a local, fuzzy confusion matrix under the framework of multi-label classification. We proposed a novel solution to the problem of correcting label pairwise ensembles.
Kurzynski, Marek, Trajdos, Pawel
core   +1 more source

Learning and Using Taxonomies For Fast Visual Categorization [PDF]

, 2008
The computational complexity of current visual categorization algorithms scales linearly at best with the number of categories. The goal of classifying simultaneously N_(cat) = 10^4 - 10^5 visual categories requires sub-linear classification costs.
Griffin, Gregory, Perona, Pietro
core   +2 more sources

Mesoporous Carbon Thin Films with Large Mesopores as Model Material for Electrochemical Applications

Advanced Functional Materials, EarlyView.
Mesoporous carbon thin films possessing 70 nm mesopores are prepared on titanium substrates by soft templating of resol resins with a self‐synthesized poly(ethylene oxide)‐block‐poly(hexyl acrylate) block copolymer. A strategy to avoid corrosion of the metal substrate is presented, and the films are extensively characterized in terms of morphology ...
Lysander Q. Wagner, Joshua Schober, Pascal Dippell, Chantal Glatthaar, Smail Mekhilef, David Schäfer, Hannes Hergert, Marcus Rohnke, Matthias T. Elm, Bernd M. Smarsly   +9 more
wiley   +1 more source

Broadband, Flexible, Skin‐Compatible Carbon Dots/Graphene Photodetectors for Wearable Applications

Advanced Functional Materials, EarlyView.
Broadband, flexible photodetectors integrating nitrogen‐rich carbon dots with single‐layer graphene on plastic substrates are demonstrated. A biocompatible chitosan–glycerol electrolyte enables efficient low‐voltage gating and on‐skin operation. The devices exhibit ultraviolet‐to‐near‐infrared response, mechanical robustness under bending, and verified
Nouha Loudhaief, Petr Rozhin, Ilaria Bertuol, Ali Raza, Leonardo Viti, Subhankar Roy, Enrico Cavarzerani, Luca Sbuelz, Matteo Brilli, Andrea Serinolli, Jacopo Nicoletti, Riccardo Piccoli, Sebastián Castilla, Simone Dal Zilio, Enrique Rodríguez‐Castellón, Miriam Serena Vitiello, Maurizio Selva, Flavio Rizzolio, Alvise Perosa, Giovanni Antonio Salvatore, Domenico De Fazio   +20 more
wiley   +1 more source

Human activity recognition making use of long short-term memory techniques [PDF]

, 2019
The optimisation and validation of a classifiers performance when applied to real world problems is not always effectively shown. In much of the literature describing the application of artificial neural network architectures to Human Activity ...
Shenfield, Alex, Wainwright, Richard
core   +1 more source

Three‐Dimensional Hierarchical Nanowire‐Networks with Deep‐Focus Tolerance and Adhesion Robustness for Harsh‐Environment SERS Sensing

Advanced Functional Materials, EarlyView.
A 3D nanowire‐network SERS substrate with robust adhesion is developed, featuring pronounced z‐direction optical activity, ultralow detection limit (1.5 × 10−13 M), and excellent signal uniformity (RSD < 10%). Enabled by enhanced light scattering, increased optical density of states, and structural reinforcement, the substrate demonstrates stable, high‐
Jinglai Duan, Wentao Wang, Xiu Liang, Yongliang Zhang, Jie Liu, Yu Bai, Dangyuan Lei   +6 more
wiley   +1 more source

Hybrid Microdiscs for Magnetically Induced Non‐Cytotoxic Thermal Actuation and Programmable Biomolecule Delivery

Advanced Functional Materials, EarlyView.
Hybrid magnetic microdiscs with customizable size and composition are engineered through refined photolithography and LbL assembly. Embedded Fe3O4 nanoparticles enable localized, non‐cytotoxic heating, while protein cargos can be incorporated in tunable quantities.
Daniela Iglesias‐Rojas, Danny Villanueva, Jon Mentxaka‐Salgado, Nerea Lete, Ane Olazagoitia‐Garmendia, Eduardo Fernández, Iñaki Orue, Alfredo García‐Arribas, Maria Luisa Fdez‐Gubieda, Ainara Castellanos‐Rubio, Robert Morel, Bernard Dieny, Maite Insausti, Idoia Castellanos‐Rubio   +13 more
wiley   +1 more source

Performance Comparison of Anti-Spam Technology Using Confusion Matrix Classification

IOP Conference Series: Materials Science and Engineering, 2020
This research aims to test the ability to capture malicious e-mail objects, spam e-mails, phishing e-mails, or malware e-mails on Proofpoint Email Protection and Fortimail antispam devices to prevent security threats to PT. XYZ.
F. Rahmad, Y. Suryanto, K. Ramli
semanticscholar   +1 more source

Intrinsic Nanopore‐Assisted SnP2S6 Memristors With Ti Ion Dynamics for Compact Logic‐In‐Memory Hardware

Advanced Functional Materials, EarlyView.
Tin hexathiophosphate memristors leverage intrinsic nanopores together with a guided filament formation strategy to regulate titanium ion motion and switching behavior. The devices support reliable nonvolatile memory and reconfigurable logic‐in‐memory, demonstrating 14 Boolean logic functions in a single cell.
Thaw Tint Te Tun, Sanchali Mitra, Hongxi Su, Jiali Huo, Haofei Zheng, Michel Bosman, Yee Sin Ang, Kah‐Wee Ang   +7 more
wiley   +1 more source

Data Mining Application on Weather Prediction Using Classification Tree, Naïve Bayes and K-Nearest Neighbor Algorithm With Model Testing of Supervised Learning Probabilistic Brier Score, Confusion Matrix and ROC

JAICT, 2020
— One of data mining techniques is Classification, used to predict relationships between data on a dataset. The prediction performed by classifying data into several different classes considering certain factor.
Ratih Prasetya
semanticscholar   +1 more source