We tackle the problem of few-shot image classification in context remote sensing hyperspectral images (HSIs). Due to difficulties collecting a large number labeled training samples, techniques hold much prominence general. One bottlenecks designing learning (FSL) systems arises from fact that model is likely overfit presence few samples and complex spectral feature distributions land-cover classes. To this end, we introduce stable prototypical network (SPN) for FSL by judiciously...

We tackle the few-shot open-set recognition (FSOSR) problem in context of remote sensing hyperspectral image (HSI) classification. Prior research on OSR mainly considers an empirical threshold class prediction scores to reject outlier samples. Further, recent endeavors HSI classification fail recognize outliers due 'closed-set' nature and fact that entire distributions are unknown during training. To this end, we propose optimize a novel calibration network (OCN) together with feature...

A combined experimental and computational investigation of transient thermal control an avionics module using phase-change material (PCM) is reported. The cone guration examined was a honeycomb core e lled with organic PCM, n-triacontane, heated from the bottom. Experiments were conducted to evaluate performance PCM device by measuring temperatures at various locations as functions time until temperature reached acceptable maximum limit. An analysis melting inside single cell, considering...

In few-shot open-set recognition (FSOSR) for hyperspectral images (HSI), one major challenge arises due to the simultaneous presence of spectrally fine-grained known classes and outliers. Prior research on generative FSOSR cannot handle such a situation their inability approximate open space prudently. To address this issue, we propose method, Meta-learning-based Open-set Recognition via Generative Adversarial Network (MORGAN), that can learn finer separation between closed spaces. MORGAN...

We have prepared CoFe2O4 nanoparticles in micellar medium by wet chemical technique and obtained very high coercivity value of 4.4 kOe at room temperature for particle size ∼16 nm. A large (∼20 kOe) is observed on cooling down to 2.5 K. annealed the sample different temperatures check role micelles particles change value. Here we as capping agent playing an important enhance coercivity, after removal same drops from small ∼350 Oe. But again increases due increase with annealing 873 K above....

Coronary artery disease (CAD) is the major cause of mortality in world. Although there a significant level advancement medical science and technology, this still remains challenging to common people. The aim study develop computer assisted screening system that will help early detection CAD improved patient management with limited resources developing countries. present developed from an initial marked data set. Ten risk factors have been investigated for stratification CAD. Two decision...

Recent advancements in prototype-based Few-Shot Open-Set Recognition (FSOSR) approaches reject outliers based on the high metric distances from <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">known</i> class prototypes and fail to distinguish spectrally fine-grained land cover outliers. Learning only Euclidean distance fit spherical distributions ignores essential distribution parameters like shift, shape, scale. The conventional...

By an appropriate choice for the phase of complex nucleonic field and going over to traveling coordinate, we reduce coupled Higgs equations Hamiltonian form treat resulting equation using dynamical system theory. We present a phase-space analysis its stable points. The results our study demonstrate that can support both traveling- standing-wave solutions. traveling-wave solution appears in soliton resides midst doubly periodic

The shift to more electric aircraft presents many electronics packaging and thermal challenges. Innovation in both cooling mechanical concepts is needed integrate the required equipment into aircraft. Heat dissipations can be significant, beyond capability of existing Electrical Equipment (EE) bay capabilities. location an based on usage equipment. This challenges because these locations are likely difficult cool. system must acquire heat at box transport ultimate sink for rejection. There...

We work with a sech trial function space-dependent soliton parameters and envisage variational study for the nonlinear Schödinger (NLS) equation in presence of third-order dispersion. demonstrate that equations pulse evolution this NLS provide natural basis to derive potential model which can account existence continuous family embedded solitons supported by equation. Each member is parameterized propagation velocity co-efficient

Few-shot learning has made impressive strides in addressing the crucial challenges of recognizing unknown samples from novel classes target query sets and managing visual shifts between domains. However, existing techniques fall short when it comes to identifying outliers under domain by reject pseudo-outliers source domain, resulting an incomplete solution both problems. To address these comprehensively, we propose a approach called Domain Adaptive Few-Shot Open Set Recognition (DA-FSOS)...

It is well-known that the two situations: gain margin being infinite and phase are individually special cases of dissipativities with respect to suitable supply rates; small theorem passivity result respective theorems. However, in practice, margins finite also allows concluding closed loop stability using Nyquist criteria. We show this paper positive condition equivalent dissipativity a convex combination rates arising from rates. formulate situation into more general framework Plot...