Suchergebnisse - subset mapping algorithm

Low-Power Scalable TSPI: A Modular Off-Chip Network for Edge AI Accelerators von Park, Seunghyun, Park, Daejin

“… The TSPI network employs a subset mapping algorithm for efficient routing and integrates the message passing interface (MPI …”
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Genetic Algorithm Based Feature Subset Selection for Land Cover/ Land Use Mapping Using Wavelet Packet Transform von Rajesh, S, Arivazhagan, S, Moses, K. Pratheep, Abisekaraj, R

“… A genetic algorithm based approach is used in this paper for the selection of a subset from the combination of Wavelet Packet Statistical and Wavelet Packet Co-occurrence textural feature sets …”
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Comparisons of random forest and stochastic gradient treeboost algorithms for mapping soil electrical conductivity with multiple subsets using Landsat OLI and DEM/GIS-based data at a type oasis in Xinjiang, China von Wei, Yang, Ding, Jianli, Yang, Shengtian, Yang, Xiaodong, Wang, Fei

“… Therefore, in order to evaluate the accuracy level of the two algorithms for predicting soil salinity, twenty-seven environmental subsets were designed …”
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VALIDATION OF A NOVEL STRAIN MAPPING ALGORITHM BASED ON DEFORMABLE REGISTRATION OF is a subset of CT IMAGES von Christen, David, Voide, Romain, van Lenthe, G Harry, Boyd, Steven, Muller, Ralph

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Deep learning high resolution burned area mapping by transfer learning from Landsat-8 to PlanetScope von Martins, V.S., Roy, D.P., Huang, H., Boschetti, L., Zhang, H.K., Yan, L.

“… The recent availability of near-daily 3 m observations provided by the PlanetScope constellation enables mapping of small and spatially fragmented burns that are not detected at coarser spatial resolution …”
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Parallel Algorithms for Solving Sparse Binary Subset Sums Using Random Mappings von Rumenko, Nikita, Kostyuck, Alexander

“… In this article we consider using random mappings to solve sparse binary subset sums via collision search …”
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Spectrum of deep learning algorithms in drug discovery von Piroozmand, Firoozeh, Mohammadipanah, Fatemeh, Sajedi, Hedieh

“… Deep learning (DL) algorithms are a subset of machine learning algorithms with the aim of modeling complex mapping between a set of elements and their classes …”
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Nonlinear speech analysis algorithms mapped to a standard metric achieve clinically useful quantification of average Parkinson's disease symptom severity von Tsanas, Athanasios, Little, Max A, McSharry, Patrick E, Ramig, Lorraine O

“… presence in the clinic. We apply a wide range of known speech signal processing algorithms to a large database (approx …”
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Data‐driven optimization of sampling patterns for MR brain T1ρ mapping von Menon, Rajiv G, Zibetti, Marcelo V W, Regatte, Ravinder R

“… ‐accelerated subset selection, for MR brain T1ρ mapping to generate optimized sampling patterns (SPs …”
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Optimal Subset Mapping And Convergence Evaluation of Mapping Algorithms for Distributing Task Graphs on Multiprocessor SoC von Orsila, H., Salminen, E., Hannikainen, M., Hamalainen, T.D.

“… We present a new algorithm, optimal subset mapping (OSM), that rapidly evaluates task distribution mapping space, and then compare it to simulated annealing (SA …”
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Improving Subset Linear Discriminant Analysis Algorithm Using Overlapping Clustering von Mandeel, Thulfiqar H., Ahmad, Muhammad Imran, Khalid, Noor Aldeen A., Hassan, Mustafa Hamid, Kadhim, Mohammed Hayder

“… However, this algorithm suffers from an improper mapping of the classes to the corresponding subset during the testing procedure due to the inevitable discrepancy between the images used for training …”
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Combining Multi-Source Data and Feature Optimization for Plastic-Covered Greenhouse Extraction and Mapping Using the Google Earth Engine: A Case in Central Yunnan Province, China von Li, Jie, Wang, Hui, Wang, Jinliang, Zhang, Jianpeng, Lan, Yongcui, Deng, Yuncheng

“… ) is necessary for modern agricultural management and environmental protection. However, many urgent issues still exist in PCG mapping, such as multi-source data combination …”
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Development and validation of a clinic machine-learning nomogram for the prediction of risk stratifications of prostate cancer based on functional subsets of peripheral lymphocyte von Yang, Chunguang, Liu, Zhenghao, Fang, Yin, Cao, Xinyu, Xu, Guoping, Wang, Zhihua, Hu, Zhiquan, Wang, Shaogang, Wu, Xinglong

“… ). In previous studies, lymphocyte subsets were used to differentiate between low-/intermediate-risk and high-risk PCa, with limited clinical value and poor interpretability …”
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A Novel Optimal Mapping Algorithm With Less Computational Complexity for Virtual Network Embedding von Cao, Haotong, Zhu, Yongxu, Zheng, Gan, Yang, Longxiang

“… The key idea of the CAN-A algorithm lies in constructing the candidate substrate node subset and the candidate substrate path subset before embedding …”
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Finding the best ridge regression subset by genetic algorithms: applications to multilocus quantitative trait mapping von Zhang, B., Horvath, S.

“… Genetic algorithms (GAs) are increasingly used in large and complex optimization problems …”
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Mapping the EORTC-QLQ-C30 to the EQ-5D-3L: An Assessment of Existing and Newly Developed Algorithms von Woodcock, Fionn, Doble, Brett

“… To assess the external validity of mapping algorithms for predicting EQ-5D-3L utility values from EORTC QLQ-C30 responses not previously validated and to assess whether statistical models …”
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Formulation of Lucas-Kanade Digital Image Correlation Algorithms for Non-contact Deformation Measurements: A Review von Tong, W.

“… The DIC algorithm used so far is however limited mostly to the classic forward additive Lucas–Kanade type …”
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Landslide Susceptibility Mapping: Analysis of Different Feature Selection Techniques with Artificial Neural Network Tuned by Bayesian and Metaheuristic Algorithms von Abbas, Farkhanda, Zhang, Feng, Abbas, Fazila, Ismail, Muhammad, Iqbal, Javed, Hussain, Dostdar, Khan, Garee, Alrefaei, Abdulwahed Fahad, Albeshr, Mohammed Fahad

“… The most frequent and noticeable natural calamity in the Karakoram region is landslides. Extreme landslides have occurred frequently along Karakoram Highway, …”
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Performance of sentinel lymph node biopsy in high-risk endometrial cancer von Ehrisman, Jessie, Secord, Angeles Alvarez, Berchuck, Andrew, Lee, Paula S., Di Santo, Nicola, Lopez-Acevedo, Micael, Broadwater, Gloria, Valea, Fidel A., Havrilesky, Laura J.

“… ) or robotic-assisted laparoscopic (N=20) staging. Outcomes included SLN mapping rates, SLN and non-SLN positive rates, false negative SLN algorithm rate, and the negative predictive value (NPV …”
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Selection of HyspIRI optimal band positions for the earth compositional mapping using HyTES data von Iqbal, Arshad, Ullah, Saleem, Khalid, Noora, Ahmad, Waqar, Ahmad, Ijaz, Shafique, Muhammad, Hulley, Glynn C., Roberts, Dar A., Skidmore, Andrew K.

“… This study aimed to identify HyspIRI optimal TIR wavebands position for earth compositional mapping …”
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