Results 81 to 90 of about 212,260 (313)
Applied Sciences, 2019 The crop water stress index (CWSI) is one of the parameters measured in deficit irrigation and it is obtained from crop canopy temperature. However, image segmentation is required for non-leaf region exclusion in temperature measurement, as it is ...
Jaime Giménez-Gallego +5 more
doaj +1 more source
Advanced Science, EarlyView.Hollow Co3O4/TiO2 heterojunctions are engineered for high‐throughput laser desorption/ionization mass spectrometry. The built‐in electric field drives efficient charge separation and photothermal conversion, while the hierarchical mesoporous network enables robust salt and protein tolerance.
Junyu Chen +8 more
wiley +1 more source
Comparison of Boot-SVM-RFE with other competitive algorithms for different sliding window sizes.
, 2017 Comparison of Boot-SVM-RFE with other competitive algorithms for different sliding window sizes.
Baidya Nath Mandal (3618470) +4 more
core +1 more source
On the usefulness of fuzzy SVMs and the extraction of fuzzy rules from SVMs [PDF]
Proceedings of the 7th conference of the European Society for Fuzzy Logic and Technology (EUSFLAT-2011), 2011 In this paper we reason about the usefulness of two recent trends in fuzzy methods in machine learning. That is, we discuss both fuzzy support vector machines (FSVMs) and the extraction of fuzzy rules from SVMs. First, we show that an FSVM is identical to a special type of SVM. Second, we categorize and analyze existing approaches to obtain fuzzy rules
Christian Moewes, Rudolf Kruse
openaire +1 more source
Full‐Stack Architectures for Intelligent Brain‐Computer Interfaces
Advanced Science, EarlyView.System‐level overview of brain–computer interfaces (BCIs), illustrating the integration of neural signal acquisition, wireless transmission, and adaptive decoding. Advanced electrode, tissue interfaces, energy‐efficient communication, and robust algorithms collectively enable stable signal quality, real‐time processing, and closed‐loop operation ...
Hee Kyu Lee +9 more
wiley +1 more source
AFAgarap/gru-svm v0.3.11-alpha
, 2017 Code implementation of "A Neural Network Architecture Combining Deep Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection" (https://arxiv.org/abs/1709.03082)
Abien Fred Agarap
core +1 more source
Advanced Science, EarlyView.PhosSight is a unified deep‐learning framework for phosphoproteome identification, featured by a phosphorylation‐aware detectability predictor. It improves identification sensitivity in DDA through deep re‐localization and rescoring, accelerates DIA searches by detectability‐guided spectral library pruning, and expands phosphoproteome coverage to ...
Ben Wang +10 more
wiley +1 more source
CoRR, 2018 We introduce Universum learning for multiclass problems and propose a novel formulation for multiclass universum SVM (MU-SVM). We also propose an analytic span bound for model selection with almost 2-4x faster computation times than standard resampling techniques. We empirically demonstrate the efficacy of the proposed MUSVM formulation on several real
Sauptik Dhar +2 more
openaire +2 more sources
Advanced Science, EarlyView.We developed the ASCAL pipeline, integrating complementary spatial transcriptomics, to construct a high‐fidelity mouse whole‐eye single‐cell atlas. Applying ASCAL to a retinal artery occlusion (RAO) model revealed spatially restricted immune activation localized to the ganglion cell layer and the selective depletion of a translationally active, outer ...
Chen Du +11 more
wiley +1 more source
Comparison of Selected Classification Methods in Automatic Speaker Identification
Communications, 2011 This paper presents performance comparison of three different classifiers applied in Automatic SpeakeR Identification: Gaussian Mixture Model (GMM), k Nearest Neighbor algorithm (kNN) and Support Vector Machines (SVM).
Martin Hric +2 more
doaj +1 more source