IAS-CNN: Image adaptive steganalysis via convolutional neural network combined with selection channel by Zhujun Jin, Yu Yang, Yuling Chen, Yuwei Chen

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Isolation by distance versus landscape resistance: Understanding dominant patterns of genetic structure in Northern Spotted Owls (Strix occidentalis caurina). by Mark P Miller, Raymond J Davis, Eric D Forsman, Thomas D Mullins, Susan M Haig

“…This cluster could not be linked to landscape connectivity patterns and suggested that post-Pleistocene processes were involved with its development rather than contemporary landscape configuration. …”
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The Application of Digital Holographic Speckle Pattern Interferometry to the Structural Condition Study of a Plaster Sample by Kyriaki Kosma, Vivi Tornari

“…We use non-destructive Digital Holographic Speckle Pattern Interferometry (DHSPI), post-processing image analysis and one-dimensional exponential analysis to visualize, map and describe the structural condition of a plaster-based material. …”
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A facet-based numerical model to retrieve ice sheet topography from Sentinel-3 altimetry by J. Aublanc, F. Boy, F. Borde, P. Féménias

“…The simulation is exploited to determine the coordinates of the impact point on the ground, where the surface elevation is estimated. The complete processing chain, named the “Altimeter data Modelling and Processing for Land Ice” (AMPLI), provides topography estimations posted at <span class="inline-formula">∼330 m</span> along the satellite track. …”
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Evaluating Flood Damages using Land Cover Changes Detection by P. Raeva, S. Katsarska-Filipova, D. Filipov

“…The methodology integrates Sentinel-1 SAR and Sentinel-2 optical satellite imagery with open-access data from Bulgarian institutions, processed using open-source software platforms. Flooded areas and shifts in land use were mapped using computed optical indices and SAR backscatter change detection. …”
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Methodological approaches to monitoring erosion of agricultural lands in the European part of Russia by using satellite imagery by O.P. Yermolaev, R.A. Medvedeva, E.V. Platoncheva

“…Erosion is the main process of soil cover degradation in agricultural lands. …”
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Standardization of Word Order in Toponyms-Word Combinations by I. A. Dambuev

“…The necessity of continuing observations on the process of the standardization of toponyms to confirm the results obtained is emphasized.…”
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Análise da qualidade visual da paisagem da região de Tibagi, PR, aplicando o sensoriamento remoto Landscape quality analysis of Tibagi, Paraná state, applying the remote sensing by Geraldo S. Landovsky, Daniela B. Batista, Hideo Araki

“…The present work has the objective to propose and to test a methodology for the visual quality evaluation of the landscape, through the employment of classified and post-processed orbital image and implementing a specific algorithm, for evaluation of several uses of the land surface in the study area. …”
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Advancements in ceramic-coated metals: Enhancing thermal spray coatings for improved performance in aerospace applications using surface treatments by Amrinder Mehta, Hitesh Vasudev

“…From the above-described post processing treatments the application of these treatments increases the service capability of the splats and substrate surface; and that the adhesion of the post processing treatments to the splats and substrate surface is also increased. …”
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Three-Dimensional Printing in Dentistry: A Scoping Review of Clinical Applications, Advantages, and Current Limitations by Mi-Kyoung Jun, Jong-Woo Kim, Hye-Min Ku

“…However, challenges such as high costs, material limitations, and post-processing requirements hinder its broader adoption. …”
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Monitoring Vertical Urban Growth in Rapidly Developing Cities with Persistent Scatterer Interferometry: A Multi-Temporal Assessment with COSMO-SkyMed Data in Wuhan, China by Zeeshan Afzal, Timo Balz, Francesca Cigna, Deodato Tapete

“…The methodology involved full-stack processing (analyzing all 375 images for a stable reference), sub-stack processing (independently processing sequential image subsets to track temporal changes), and post-processing to extract persistent scatterer (PS) candidates, estimate building heights, and analyze temporal changes. …”
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Computational problems of analysis of short next generation sequencing reads by R. te Boekhorst, F. M. Naumenko, N. G. Orlova, E. R. Galieva, A. M. Spitsina, I. V. Chadaeva, Y. L. Orlov, I. I. Abnizova

“…This paper is reviewing post-processing errors and computational methods to discern them. …”
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Automated assembly of molecular mechanisms at scale from text mining and curated databases by John A Bachman, Benjamin M Gyori, Peter K Sorger

“…Abstract The analysis of omic data depends on machine‐readable information about protein interactions, modifications, and activities as found in protein interaction networks, databases of post‐translational modifications, and curated models of gene and protein function. …”
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A comprehensive survey of the machine learning pipeline for wildfire risk prediction and assessment by Naveed Ejaz, Salimur Choudhury

“…The paper categorizes a wide array of machine learning techniques applied in wildfire risk assessment, including traditional, deep learning, spatial, temporal, reinforcement learning, and hybrid approaches. It also examines post-processing strategies such as fire susceptibility mapping and uncertainty quantification. …”
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The First Year by Susanna Galbraith

“… This study investigates the perceptions and behaviours of novice academic researchers in their first year of post-secondary education when conducting online research. …”
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A Systematic Method for the Calibration of FEA Model of Synchronous Reluctance Machines Considering Manufacturing Effects by Andrea Credo, Paolo Pescetto

“…A synchronous reluctance motor prototype is designed, manufactured, and experimentally characterized, and the measured flux and torque characteristics are exploited for ex-post calibrating the FEA model of the machine. This approach led to a reduction in torque estimation error from 18% to 4%, and an improvement of the flux maps evaluation, thus enhancing and validating the design procedure and permitting further optimization steps of machines with similar geometry and dimensions. …”
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Assessing burn severity and vegetation restoration in Alberta’s boreal forests following the 2016 Fort McMurray wildfire – a remote sensing time-series study by Eric Xu, Mary Wei, Tiffany Li, Victor Lei, Jennifer Gao, Nathan Wang, Yuhong He

“…Using the Google Earth Engine (GEE) Platform, Landsat images time series covering pre- and post-fire (2015 to 2023), and land cover maps, we delineated the fire’s extent and conducted a comprehensive assessment of variations in burn severity and subsequent vegetation recovery. …”
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The Importance of Urban Greenery in the Construction of a Smart Landscape to Reduce Negative Environmental and Climate Impacts by Amanda Fruehauf, Paulo Pellegrino, Magda Lombardo

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Behaviour of a speargun with a novel muzzle by V. Nigrelli, M. Mucera, T. Ingrassia

“…For this reason, during the results analysis phase, the strain values measured on the roller speargun have been ‘normalized’ by increasing them of a value equal to the ratio of the maximum forces due to the rubber bands. The data post processing has allowed to evaluate the forces and the bending moments on the barrels with the standard muzzle and the roller one. …”
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Mechanisms underlying the spontaneous reorganization of depression network after stroke by Yirong Fang, Xian Chao, Zeyu Lu, Hongmei Huang, Ran Shi, Dawei Yin, Hao Chen, Yanan Lu, Jinjing Wang, Peng Wang, Xinfeng Liu, Wen Sun

“…However, a gap exists between causal and therapeutic information. Exploring post-stroke brain repair processes post-stroke could bridge this gap.We defined a depression network using the normative connectome and investigated the predictive capacity of lesion-induced network damage on depressive symptoms in discovery cohort of 96 patients, at baseline and six months post-stroke. …”
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