Suchergebnisse - low-precision quantification algorithm

Acceleration of Nuclear Reactor Simulation and Uncertainty Quantification Using Low-Precision Arithmetic von Cherezov, Alexey, Vasiliev, Alexander, Ferroukhi, Hakim

“… The hardware acceleration based on the low-precision floating-point arithmetic is anticipated by the upcoming generation of microprocessors and code compilers and has already proven to be beneficial …”
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SKCompress: compressing sparse and nonuniform gradient in distributed machine learning von Jiang, Jiawei, Fu, Fangcheng, Yang, Tong, Shao, Yingxia, Cui, Bin

“… In order to reduce the communication cost, a category of quantification-based compression algorithms are used to transform the gradients to binary format, at the expense of a low precision loss …”
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Number Formats, Error Mitigation, and Scope for 16‐Bit Arithmetics in Weather and Climate Modeling Analyzed With a Shallow Water Model von Klöwer, M., Düben, P. D., Palmer, T. N.

“… The need for high‐precision calculations with 64‐bit or 32‐bit floating‐point arithmetic for weather and climate models is questioned. Lower‐precision numbers …”
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Bumps in river profiles: uncertainty assessment and smoothing using quantile regression techniques von Schwanghart, Wolfgang, Scherler, Dirk

“… We devised new algorithms – quantile carving and the CRS algorithm – that rely on quantile regression to enable hydrological correction and the uncertainty quantification of river profiles …”
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Hardware-Aware Design of Speed-Up Algorithms for Synthetic Aperture Radar Ship Target Detection Networks von Zhang, Yue, Jiang, Shuai, Cao, Yue, Xiao, Jiarong, Li, Chengkun, Zhou, Xuan, Yu, Zhongjun

“… Recently, synthetic aperture radar (SAR) target detection algorithms based on Convolutional Neural Networks (CNN …”
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Lower variance FBP image reconstruction via new filter families von Verhaeghe, J, Reader, A J

“… However, FBP algorithms often exhibit high variance in the reconstructed images (i.e. low precision). Whilst this can be countered by projection or image-space smoothing, these operations degrade the resolution of the final image …”
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Comparative analysis of statistical methods used for detecting differential expression in label-free mass spectrometry proteomics von Langley, Sarah R., Mayr, Manuel

“… Label-free LC-MS/MS proteomics has proven itself to be a powerful method for evaluating protein identification and quantification from complex samples …”
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Advancing Smart Lithium-Ion Batteries: A Review on Multi-Physical Sensing Technologies for Lithium-Ion Batteries von Wang, Wenwei, Liu, Shuaibang, Ma, Xiao-Ying, Jiang, Jiuchun, Yang, Xiao-Guang

“… Traditional battery management systems (BMS) encounter significant challenges, including low precision in predicting battery states and complexities in managing batteries, primarily due to the scarcity of collected signals …”
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Initial evaluation of State‐of‐the‐Art deep learning models on data of project forever von Reimann, Marcel, Andreasen, Jens Rovelt, Dahl, Anders Bjorholm, Kolko, Miriam

“… Aims/Purpose: We investigated state‐of‐the‐art deep learning models trained on the dataset Artificial Intelligence for Robust Glaucoma Screening Challenge [1] …”
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Modified look-locker inversion recovery (MOLLI) T 1 mapping with inversion group (IG) fitting - A method for improved precision von Sussman, Marshall S, Wintersperger, Bernd J

“… However, a limitation is that its T1 maps have low precision - up to 30% poorer than conventional 3-parameter methods …”
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STAVER: a standardized benchmark dataset-based algorithm for effective variation reduction in large-scale DIA-MS data von Ran, Peng, Wang, Yunzhi, Li, Kai, He, Shiman, Tan, Subei, Lv, Jiacheng, Zhu, Jiajun, Tang, Shaoshuai, Feng, Jinwen, Qin, Zhaoyu, Li, Yan, Huang, Lin, Yin, Yanan, Zhu, Lingli, Yang, Wenjun, Ding, Chen

“… However, low-quality profiles can considerably undermine quantitative precision, resulting in inaccurate protein quantification …”
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Acupuncture Manipulation Measurement and Identification Based on Miniature Multiaxis Force/Torque Sensor von Xu, Jingjing, Song, Aiguo, Chen, Yuhan

“… For the current problems of low precision, complex operation, interference with operation, single identification category, and small sample size, it is the first time that identification of four …”
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Performance Evaluation and Improvement of Deep Echo State Network Models in English Writing Assistance and Grammar Error Correctionn von Chen, Dongyun

“… : Aiming at the problems of non-specific quantification, low precision, and low real-time performance evaluation methods for English writing grammar error correction in current methods.METHODS …”
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Dermal type I collagen assessment by digital image analysis von Brianezi, Gabrielli, Grandi, Fabrizio, Bagatin, Ediléia, Enokihara, Mílvia Maria S. S., Miot, Hélio Amante

“… However, visual gradation (0 to 4+) has low precision and high subjectivity levels. This study aimed to develop and validate a digital morphometric analysis technique to estimate type I collagen levels in the papillary dermis …”
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The impact of peptide abundance and dynamic range on stable-isotope-based quantitative proteomic analyses von Bakalarski, Corey E, Elias, Joshua E, Villén, Judit, Haas, Wilhelm, Gerber, Scott A, Everley, Patrick A, Gygi, Steven P

“… transform ion cyclotron resonance and Orbitrap mass spectrometers. Quantification accuracy was also highly correlated with S/N …”
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A Hybrid Approach for Cardiac Blood Flow Vortex Ring Identification Based on Optical Flow and Lagrangian Averaged Vorticity Deviation von Yang, Ke, Wu, Shiqian, Samuel, Oluwarotimi W., Zhang, Hui, Ghista, Dhanjoo N., Yang, Di, Wong, Kelvin K. L.

“… : such as low precision, and ignoring the center of the vortex without the description of vortex deformation processes …”
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Rapid quality evaluation of cinnamomi cortex based on near-infrared spectroscopy and chemometrics methods von Shen, Rongjing, Sang, Mengjiao, Li, Juan, Zang, Hengchang, Zhang, Zhonghu, Nie, Lei

“… [Display omitted] •The particle size of cinnamon powder significantly affects the retention and release of volatile compounds.•An integrative method for …”
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Automatic information extraction from childhood cancer pathology reports von Yoon, Hong-Jun, Peluso, Alina, Durbin, Eric B, Wu, Xiao-Cheng, Stroup, Antoinette, Doherty, Jennifer, Schwartz, Stephen, Wiggins, Charles, Coyle, Linda, Penberthy, Lynne

“… Objectives The International Classification of Childhood Cancer (ICCC) facilitates the effective classification of a heterogeneous group of cancers in the …”
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非接触电导检测土壤养分离子的谱峰自动识别方法 von 唐超礼, 李浩, 王儒敬, 王乐, 黄青, 王大朋, 张家宝, 陈翔宇

“… [目的/意义]电容耦合非接触式电导检测（Capacitively Coupled Contactless Conductivity Detection, C4D）在农业土壤养分离子检测方面发挥着重要作用。对C4D信号中离子特征 …”
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Genetic Circuits Combined with Machine Learning Provides Fast Responding Living Sensors von Saltepe, Behide, Bozkurt, Eray Ulaş, Murat Alp Güngen, Çiçek, A Ercüment, Urartu Özgür Şafak Şeker

“… Despite increasing demand on cost effective and easy-to-use assessment methods, a considerable amount of WCBs retains certain drawbacks such as long response time, low precision and accuracy …”
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