Results 51 to 60 of about 538,598 (303)

Quantum Discriminant Analysis for Dimensionality Reduction and Classification

, 2016
We present quantum algorithms to efficiently perform discriminant analysis for dimensionality reduction and classification over an exponentially large input data set.
Cong, Iris, Duan, Luming
core   +1 more source

From Bug to Feature: Harnessing Cross‐Sensitivity for Multiparametric Luminescence Sensing

Advanced Functional Materials, EarlyView.
Cross‐sensitivity in luminescence sensing is reframed from a limitation into a resource for multiparametric detection. Using ruby microspheres as a model system, cross‐sensitivity is quantitatively assessed and exploited through linear discriminant analysis, enabling simultaneous, correction‐free pressure and temperature sensing with a single ...
Nikita Panov, Liyan Ming, Stanislav Sinogeikin, Erving Ximendes, Daniel Jaque, Riccardo Marin   +5 more
wiley   +1 more source

SPECTRAL REGRESSION DISCRIMINANT ANALYSIS FOR HYPERSPECTRAL IMAGE CLASSIFICATION [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2012
Dimensionality reduction algorithms, which aim to select a small set of efficient and discriminant features, have attracted great attention for Hyperspectral Image Classification.
Y. Pan, J. Wu, H. Huang, J. Liu
doaj   +1 more source

Negative discriminant states in N=4 supersymmetric string theories

, 2011
Single centered BPS black hole solutions exist only when the charge carried by the black hole has positive discriminant. On the other hand the exact dyon spectrum in heterotic string theory compactified on T^6 is known to contain states with negative ...
A Dabholkar, A Dabholkar, A Dabholkar, A Dabholkar, A Dabholkar, A Dabholkar, A Dabholkar, A Dabholkar, A Gregori, A Sen, A Sen, A Sen, A Sen, A Sen, A Sen, A Sen, A Sen, A Sen, A Sen, Ashoke Sen, C Bachas, CV Johnson, D Bak, D Shih, D Shih, DP Jatkar, EJ Weinberg, F Denef, G Lopes Cardoso, I Bena, I Mandal, J Igusa, J Igusa, JM Maldacena, JR David, JR David, JR David, JR David, K Narayan, M Cvetič, M Stern, MCN Cheng, MCN Cheng, MCN Cheng, N Banerjee, N Banerjee, O Bergman, O Bergman, O Lunin, O Lunin, PS Aspinwall, R Dijkgraaf, S Banerjee, S Banerjee, S Banerjee, S Banerjee, S Banerjee, S Chaudhuri, S Chaudhuri, S Chaudhuri, S Govindarajan, S Murthy, V Balasubramanian, VS Rychkov   +63 more
core   +1 more source

Incremental Linear Discriminant Analysis Dimensionality Reduction and 3D Dynamic Hierarchical Clustering WSNs [PDF]

, 2022
G. Divya Mohana Priya, M. Karthikeyan, K. Murugan   +2 more
openalex   +1 more source

Metronidazole‐Loaded Cyclodextrin Nanogels for Antibacterial Therapy and Microbiota Regulation in Periodontitis

Advanced Healthcare Materials, EarlyView.
A methacrylamide β‐cyclodextrin‐based nanogel (MACD nGel) is developed to load the antimicrobial drug Metronidazole (MNZ) for topical delivery for the treatment of periodontitis. It is demonstrated that cyclodextrin nanogel (nGel) loaded with metronidazole provides an efficient drug delivery route but also has potential clinical applications and offers
Yanjing Ji, Ruichen Zhang, Dongyi Xu, Patrick C. A. van der Wel, Alessia Lasorsa, Guotai Li, Fangze Guo, Qihui Zhou, Patrick van Rijn   +8 more
wiley   +1 more source

Target Contrastive Pessimistic Discriminant Analysis

, 2018
Domain-adaptive classifiers learn from a source domain and aim to generalize to a target domain. If the classifier's assumptions on the relationship between domains (e.g.
Kouw, Wouter M., Loog, Marco
core   +1 more source

Comparability of results from canonical discriminant analysis based on different input data [PDF]

, 2023
Olga A. Fedorchuk, N.N. Goncharova
openalex   +1 more source

End‐to‐End Sensing Systems for Breast Cancer: From Wearables for Early Detection to Lab‐Based Diagnosis Chips

Advanced Materials Technologies, EarlyView.
This review explores advances in wearable and lab‐on‐chip technologies for breast cancer detection. Covering tactile, thermal, ultrasound, microwave, electrical impedance tomography, electrochemical, microelectromechanical, and optical systems, it highlights innovations in flexible electronics, nanomaterials, and machine learning.
Neshika Wijewardhane, Lyn I. Jones, Richard M. Martin, Helen Winter, Faezeh Arab Hassani   +4 more
wiley   +1 more source

Flexible Sensor‐Based Human–Machine Interfaces with AI Integration for Medical Robotics

Advanced Robotics Research, EarlyView.
This review explores how flexible sensing technology and artificial intelligence (AI) significantly enhance human–machine interfaces in medical robotics. It highlights key sensing mechanisms, AI‐driven advancements, and applications in prosthetics, exoskeletons, and surgical robotics.
Yuxiao Wang, Zhipeng Jiang, Sun Hwa Kwon, Matthew Ibrahim, Alexander Dang, Lin Dong   +5 more
wiley   +1 more source