Data reduction is used to aggregate or amalgamate the large data sets into smaller and manageable information pieces in order to fast and accurate classification of different attributes. However, excessive spatial or spectral data reduction may result in losing or masking important radiometric information. Therefore, we conducted this research to evaluate the effectiveness of the different...

Magnetic nanofluids (MNFs) have been the focus of extensive research nowadays owing to their potential usefulness as a transfer medium. This study is concerned with boundary layer flow and heat MNF past rotating vertical cone embedment porosity regime mixed convection. The buoyancy opposing on combined free forced convection being emphasized in this evaluate behavior fluid within region predict...

Potential applications of airborne LiDAR for disaster monitoring include flood prediction and assessment, monitoring of the growth of volcanoes and assistance in the prediction of eruptions, assessment of crustal elevation changes due to earthquakes, and monitoring of structural damage after earthquakes. Change detection in buildings is an important task in the context of disaster monitoring, e...

The hyperspectral feature extraction technique is one of the most popular topics in remote sensing community. However, methods are based on region-based local information descriptors while neglecting correlation and dependencies different homogeneous regions. To alleviate this issue, paper proposes a multi-view structural method to furnish complete characterization for spectral–spatial structur...

In consistency with B̄ → D(∗)π, J/ψK̄ and J/ψπ decays, recently observed B0 → D+ s π− and B̄0 → D+ s K− are studied in a hybrid perspective in which their amplitude is given by a sum of factorizable and non-factorizable ones. (Quasi) two-body decays of B mesons have been studied extensively by using the factorization [1,2]. However, recently measured rates [3] for the color mismatched spectator (C...

Hyperspectral images provide a rich representation of the underlying spectrum for each pixel, allowing pixel-wise classification/segmentation into different classes. As acquisition labeled training data is very time-consuming, unsupervised methods become crucial in hyperspectral image analysis. The spectral variability and noise make this task challenging define special requirements such method...

Together with geological survey data, satellite imagery provides useful information for mapping. In this context, the aim of study is to map units Saka region, situated in northeast part Morocco based on Landsat Oli-8 and ASTER images. Specifically, aims to: (1) lithological facies volcanic zone, (2) discriminate different minerals using imagery, (3) validate results field observations maps. To...

soil surfaces in arid and semi-arid lands often lack photoautotrophic life but are covered by communities of soil surface covering organisms able to tolerate dehydration, and thus adapted to aridity. one important objective of multi-spectral remote sensing instruments is the detection of the optical characteristics of the earth’s surface using high spectral resolution bands. in this study aster...

performance, digestibility of nutrients, microbial nitrogen flow (mnf) and nitrogen efficiency (ne) inearly lactating holstein cows were investigated by diet supplementation with sodium caseinate (cn).multiparous lactating holstein cows (n = 15) with an average body weight of 638 kg and 21 days in milkwere assigned to a completely randomized design (five cows per treatment) and fed a basal diet...

Chromium (II) fluoroperovskites $A\mathrm{CrF_3}(A\mathrm{=Na^+,K^+})$ are strongly correlated Jahn-Teller active materials at low temperatures. In this paper, we examine the role that $A$-site ion plays in family of using both experimental methods (XRD, optical absorption spectroscopy and magnetic fields) DFT simulations. Temperature-dependent experiments show spin-allowed transitions $E_2$ $E...