Landscape Change Monitoring System (LCMS) Conterminous United States Most Recent Year of Fast Loss (Image Service) حسب U.S. Forest Service (17476914)

"…</p><p>Predictor layers for the LCMS model include outputs from the LandTrendr and CCDC change detection algorithms and terrain information. These components are all accessed and processed using Google Earth Engine (Gorelick et al., 2017). …"

Landscape Change Monitoring System (LCMS) Puerto Rico USVI Annual Change حسب U.S. Forest Service (17476914)

"…</p><p>Predictor layers for the LCMS model include outputs from the LandTrendr and CCDC change detection algorithms and terrain information. These components are all accessed and processed using Google Earth Engine (Gorelick et al., 2017). …"

Landscape Change Monitoring System (LCMS) Alaska Year of Highest Probability of Slow Loss (Image Service) حسب U.S. Forest Service (17476914)

"…</p><p>Predictor layers for the LCMS model include outputs from the LandTrendr and CCDC change detection algorithms and terrain information. These components are all accessed and processed using Google Earth Engine (Gorelick et al., 2017). …"

Landscape Change Monitoring System (LCMS) Conterminous United States Year of Highest Probability of Slow Loss (Image Service) حسب U.S. Forest Service (17476914)

"…</p><p>Predictor layers for the LCMS model include outputs from the LandTrendr and CCDC change detection algorithms and terrain information. These components are all accessed and processed using Google Earth Engine (Gorelick et al., 2017). …"

Landscape Change Monitoring System (LCMS) Hawaii Most Recent Year of Slow Loss (Image Service) حسب U.S. Forest Service (17476914)

"…</p><p>Predictor layers for the LCMS model include outputs from the LandTrendr and CCDC change detection algorithms and terrain information. These components are all accessed and processed using Google Earth Engine (Gorelick et al., 2017). …"

Landscape Change Monitoring System (LCMS) Puerto Rico USVI Year of Highest Probability of Fast Loss (Image Service) حسب U.S. Forest Service (17476914)

"…</p><p>Predictor layers for the LCMS model include outputs from the LandTrendr and CCDC change detection algorithms and terrain information. These components are all accessed and processed using Google Earth Engine (Gorelick et al., 2017). …"

Landscape Change Monitoring System (LCMS) Hawaii Year of Highest Probability of Slow Loss (Image Service) حسب U.S. Forest Service (17476914)

"…</p><p>Predictor layers for the LCMS model include outputs from the LandTrendr and CCDC change detection algorithms and terrain information. These components are all accessed and processed using Google Earth Engine (Gorelick et al., 2017). …"

Microscopic Detection and Quantification of Microplastic Particles in Environmental Water Samples حسب Derek Lam (11944213)

"…Phase contrast microscopy (Zeiss, 10X objective) was employed to capture high-resolution images. Image processing algorithms, implemented in Python using adaptive thresholding techniques, were applied to segment particles from the background. …"

Eye-tracking during natural reading of stories in Spanish حسب NeuroLIAA (20641466)

"…The time spent on each word, along with patterns of skipping or revisiting, provides proxies for different cognitive processes during comprehension. …"

BOPIM: Bayesian Optimization for Influence Maximization on Temporal Networks حسب Eric Yanchenko (3266514)

"…In numerical experiments on real-world networks, we prove that <math><mrow>BOPIM</mrow></math> outperforms competing methods and yields comparable influence spreads to a gold-standard greedy algorithm while being as much as 10 times faster. In addition, we find that the Hamming kernel performs favorably compared to the Jaccard kernel in nearly all settings, a somewhat surprising result as the former does not explicitly account for the graph structure. …"

Table 1_Motion feature extraction using magnocellular-inspired spiking neural networks for drone detection.docx حسب Jiayi Zheng (3441902)

"…To design and train the MG-SNN, we propose a new backpropagation method called Dynamic Threshold Multi-frame Spike Time Sequence (DT-MSTS), and establish a dataset for the training and validation of MG-SNN, effectively extracting and updating visual motion features. …"

EXASCALE COMPUTING AND ITS IMPACT ON HIGH-PERFORMANCE COMPUTING حسب Jace Marden (22025762)

"…So, for any business looking into acquiring HPC capabilities, it is vital to understand the current situation and observe lower-level options of HPC or consider purchasing time with a higher-level option.</p>…"

CDK6 271123 6Plex TMT.csv حسب Kathryn Fleming (21585680)

"…</p><p dir="ltr">The raw data files were processed and quantified using Proteome Discoverer software v2.4 (Thermo Scientific) and searched against the UniProt Mouse database (downloaded July 2021: 35859 entries) using the SEQUEST HT algorithm. …"

OpenCitations Meta RDF dataset of all bibliographic metadata and its provenance information حسب OpenCitations ​ (3068259)

"…It is recommended to process these inner files as compressed without extracting them, to manage data more efficiently.…"

<i>ScannerVision</i>:<i> </i>Scanner-based image acquisition of medically important arthropods for the development of computer vision and deep learning models. حسب Song-Quan Ong (12424011)

"…This method is challenging due to the narrow field of view, especially when large numbers of arthropods need to be processed. In this paper, we present a high-throughput scanner-based method for capturing images of arthropods that can be used to generate large datasets suitable for training machine learning algorithms for identification. …"

Multi-Offset Synthetic GPR Data حسب Giacomo Roncoroni (16630053)

"…</li></ul><p><br></p><p><br></p><p dir="ltr"><b>GPR Data</b></p><p dir="ltr">The synthetic GPR data set was generated using the gprMax software, which simulates electromagnetic wave propagation using the Finite-Difference Time-Domain (FDTD) method. The data set includes multiple 2D profiles with varying offsets and frequencies, designed to test and evaluate processing, analysis, and inversion routines for GPR data.…"

Stress and frequency optimization of prismatic sandwich beams with structural joints: Improvements through accelerated topology optimization حسب Shengyu Yan (21450735)

"…The inexact recycled implicitly restarted Lanczos method is proposed, providing a novel approach to efficiently solving eigenvalue problems by recycling eigenvectors and relaxing convergence tolerances, significantly speeding up the process. The topology optimized beams are compared to conventional prismatic sandwich beams (X-core, Y-core, corrugated-core, and web-core), which are optimized using a global evolutionary algorithm. …"

A New Control Approach for a Multi-Controlled Wheelchair Utilizing Deep Learning Framework and Raspberry Pi حسب Sudipta Chatterjee (536333)

"…Employing a deep learning algorithm, it performs real-time object detection and tracks its current position in various environmental conditions. …"

Supplementary data for the publication in Clinical Epigenetics, <b>Allelic Expression Patterns of Imprinted and Non-imprinted Genes in Cancer Cell Lines from Multiple Histologies.... حسب Julia Krushkal (18276223)

"…Additionally, 6 summary and cutoff files are provided for the pancancer dataset including all 108 cell lines at the gene, isoform, and exon levels.</p><p dir="ltr">The source code for the pipeline for generating the data is provided in the archive <b>Source_code.zip</b>. …"

Table 1_Demethylase FTO mediates m6A modification of ENST00000619282 to promote apoptosis escape in rheumatoid arthritis and the intervention effect of Xinfeng Capsule.docx حسب Fanfan Wang (1669474)

"…The m6A modification of long non-coding RNAs (lncRNAs) plays a critical regulatory role in RA pathogenesis. …"