Relevant bibliographies by topics / Inverse distance weighted

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'Inverse distance weighted'

Author: Grafiati
Published: 4 June 2021
Last updated: 3 February 2022

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Inverse distance weighted.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Journal articles on the topic "Inverse distance weighted"

1

Tugrul, Bulent, and Huseyin Polat. "Privacy-Preserving Inverse Distance Weighted Interpolation." Arabian Journal for Science and Engineering 39, no. 4 (November 10, 2013): 2773–81. http://dx.doi.org/10.1007/s13369-013-0887-4.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Mueller, T. G., S. R. K. Dhanikonda, N. B. Pusuluri, A. D. Karathanasis, K. K. Mathias, B. Mijatovic, and B. G. Sears. "OPTIMIZING INVERSE DISTANCE WEIGHTED INTERPOLATION WITH CROSS-VALIDATION." Soil Science 170, no. 7 (July 2005): 504–15. http://dx.doi.org/10.1097/01.ss.0000175342.30164.89.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Dong Wang, Huchuan Lu, Ziyang Xiao, and Ming-Hsuan Yang. "Inverse Sparse Tracker With a Locally Weighted Distance Metric." IEEE Transactions on Image Processing 24, no. 9 (September 2015): 2646–57. http://dx.doi.org/10.1109/tip.2015.2427518.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Achilleos, Georgios. "Errors within the Inverse Distance Weighted (IDW) interpolation procedure." Geocarto International 23, no. 6 (October 13, 2008): 429–49. http://dx.doi.org/10.1080/10106040801966704.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

He, Yong, Binwu Zhang, and Enyu Yao. "Weighted Inverse Minimum Spanning Tree Problems Under Hamming Distance." Journal of Combinatorial Optimization 9, no. 1 (February 2005): 91–100. http://dx.doi.org/10.1007/s10878-005-5486-1.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Liu, Longcheng, and Jianzhong Zhang. "Inverse maximum flow problems under the weighted Hamming distance." Journal of Combinatorial Optimization 12, no. 4 (September 20, 2006): 395–408. http://dx.doi.org/10.1007/s10878-006-9006-8.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Taskinen, Antti, Hannu Sirviö, and Bertel Vehviläinen. "Interpolation of Daily Temperature in Finland." Hydrology Research 34, no. 5 (October 1, 2003): 413–26. http://dx.doi.org/10.2166/nh.2003.0015.

Full text
Abstract:
The present approach for daily temperature interpolation of the Watershed Simulation and Forecasting System of the Finnish Environment Institute is based on the inverse distance weighted interpolation. In order to improve the calculation, three alternative methods were tested: 1) modified inverse distance weighted model, 2) regression with dummy variables for taking into account time and 3) regression equation calibrated for each day. The regression model calibrated for each day proved to be the most promising model. By average, the difference between the accuracy of it and the inverse distance weighted methods wasn't big but some indication was found that in single cases it can make a difference. The estimated parameters were found to have realistic physical meanings.
APA, Harvard, Vancouver, ISO, and other styles
8

Bapat, R. B., and S. Sivasubramanian. "Product distance matrix of a graph and squared distance matrix of a tree." Applicable Analysis and Discrete Mathematics 7, no. 2 (2013): 285–301. http://dx.doi.org/10.2298/aadm130415006b.

Full text
Abstract:
Let G be a strongly connected, weighted directed graph. We define a product distance ?(i,j) for pairs i,j of vertices and form the corresponding product distance matrix. We obtain a formula for the determinant and the inverse of the product distance matrix. The edge orientation matrix of a directed tree is defined and a formula for its determinant and its inverse, when it exists, is obtained. A formula for the determinant of the (entry-wise) squared distance matrix of a tree is proved.
APA, Harvard, Vancouver, ISO, and other styles
9

Mueller, T. G., N. B. Pusuluri, K. K. Mathias, P. L. Cornelius, R. I. Barnhisel, and S. A. Shearer. "Map Quality for Ordinary Kriging and Inverse Distance Weighted Interpolation." Soil Science Society of America Journal 68, no. 6 (November 2004): 2042–47. http://dx.doi.org/10.2136/sssaj2004.2042.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Guan, Xiucui, and Binwu Zhang. "Inverse 1-median problem on trees under weighted Hamming distance." Journal of Global Optimization 54, no. 1 (June 23, 2011): 75–82. http://dx.doi.org/10.1007/s10898-011-9742-x.

Full text
APA, Harvard, Vancouver, ISO, and other styles
More sources

Dissertations / Theses on the topic "Inverse distance weighted"

1

Proença, Patrícia Aparecida. "Recuperação de imagens digitais com base na distribuição de características de baixo nível em partições do domínio utilizando índice invertido." Universidade Federal de Uberlândia, 2010. https://repositorio.ufu.br/handle/123456789/12500.

Full text
Abstract:
Fundação de Amparo a Pesquisa do Estado de Minas Gerais
The main goal of a images retrieval system is to obtain images from a collection that assist a need of the user. To achieve this objective, in generally, the systems of retrieval of images calculate the similarity between the user's need represented by a query and representations of the images of the collection. Such an objective is dicult of being obtain due to the subjectivity of the similarity concept among images, because a same image can be interpreted in dierent ways by dierent people. In the attempt of solving this problem the content based image retrieval systems explore the characteristics of low level color, forms and texture in the calculation of the similarity among the images. A problem of this approach is that in most of the systems the calculation of the similarity is accomplished being compared the query image with all of the images of the collection, turning the dicult and slow processing. Considering the indexation of characteristics of low level of partitions of digital images mapped to an inverted index, this work looks for improvements in the acting of the processing of querys and improve in the precision considering the group of images retrieval in great bases of data. We used an approach based in inverted index that is here adapted for partitions images. In this approach the concept of term of the retrieval textual, main element of the indexation, it is used in the work as characteristic of partitions of images for the indexation. Experiments show improvement in the quality of the precision using two collections of digital images.
O principal objetivo de um sistema de recuperação de imagens é obter imagens de uma coleção que atendam a uma necessidade do usuário. Para atingir esse objetivo, em geral, os sistemas de recuperação de imagens calculam a similaridade entre a necessidade do usuário, representada por uma consulta, e representações das imagens da coleção. Tal objetivo é difícil de ser alcançado devido à subjetividade do conceito de similaridade entre imagens, visto que uma mesma imagem pode ser interpretada de formas diferentes por pessoas distintas. Na tentativa de resolver este problema os sistemas de recuperação de imagens por conteúdo exploram as características de baixo nível cor, forma e textura no cálculo da similaridade entre as imagens. Um problema desta abordagem é que na maioria dos sistemas o cálculo da similaridade é realizado comparando-se a imagem de consulta com todas as imagens da coleção, tornando o processamento difícil e lento. Considerando a indexação de características de baixo nível de partições de imagens digitais mapeadas para um índice invertido, este trabalho busca melhorias no desempenho do processamento de consultas e ganho na precisão considerando o conjunto de imagens recuperadas em grandes bases de dados. Utilizamos uma abordagem baseada em índice invertido, que é aqui adaptada para imagens particionadas. Nesta abordagem o conceito de termo da recuperação textual, principal elemento da indexação, é utilizado no trabalho como característica de partições de imagens para a indexação. Experimentos mostram ganho na qualidade da precisão usando duas coleções de imagens digitais.
Mestre em Ciência da Computação
APA, Harvard, Vancouver, ISO, and other styles
2

Fu, Hsin-Yuan, and 傅新元. "Applications of Inverse Distance Weight to Establish Taiwan Pollutant Standards Index." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/38138110566314600667.

Full text
Abstract:
碩士
致遠管理學院
觀光資源與環境學系碩士班
97
Environment Protection Agency(EPA) spilt Taiwan into 7 air quality control areas to provide related information. However, the more detail information at specific location is remained unknown. In order to provide more detail air quality information, we use geostatisrtical method to estimate air pollutant concentrations around the island by using the air pollutant monitoring data provided by EPA. In order to monitor air quality, EPA set up air quality monitoring network to measure concentration of 5 indicating air pollutants which includes Carbon Monoxide(CO), Nitrogen Dioxide(NO2),Sulfur Dioxide(SO2), Ozone(O3) and Particulate Matter(PM10).The collected point concentration data were interpolated into surface by using Inverse Distance Weight method. Cross validation was needed to test the accuracy of the predicted concentrations. The concentration surfaces were converted to Pollution Standards Index(PSI) according to the concentration to PSI standard provided by EPA. The final PSI then provides as detail in formation for Taiwan air quality. Key words : air quality , geostatistical method, pollutant standards index
APA, Harvard, Vancouver, ISO, and other styles
3

Patil, Sandeep 1986. "Analysis of Spatial Performance of Meteorological Drought Indices." Thesis, 2012. http://hdl.handle.net/1969.1/148327.

Full text
Abstract:
Meteorological drought indices are commonly calculated from climatic stations that have long-term historical data and then converted to a regular grid using spatial interpolation methods. The gridded drought indices are mapped to aid decision making by policy makers and the general public. This study analyzes the spatial performance of interpolation methods for meteorological drought indices in the United States based on data from the Co-operative Observer Network (COOP) and United States Historical Climatology Network (USHCN) for different months, climatic regions and years. An error analysis was performed using cross-validation and the results were compared for the 9 climate regions that comprise the United States. Errors are generally higher in regions and months dominated by convective precipitation. Errors are also higher in regions like the western United States that are dominated by mountainous terrain. Higher errors are consistently observed in the southeastern U.S. especially in Florida. Interpolation errors are generally higher in the summer than winter. The accuracy of different drought indices was also compared. The Standardized Precipitation and Evapotranspiration Index (SPEI) tends to have lower errors than Standardized Precipitation Index (SPI) in seasons with significant convective precipitation. This is likely because SPEI uses both precipitation and temperature data in its calculation, whereas SPI is based solely on precipitation. There are also variations in interpolation accuracy based on the network that is used. In general, COOP is more accurate than USHCN because the COOP network has a higher density of stations. USHCN is a subset of the COOP network that is comprised of high quality stations that have a long and complete record. However the difference in accuracy is not as significant as the difference in spatial density between the two networks. For multiscalar SPI, USHCN performs better than COOP because the stations tend to have a longer record. The ordinary kriging method (with optimal function fitting) performed better than Inverse Distance Weighted (IDW) methods (power parameters 2.0 and 2.5) in all cases and therefore it is recommended for interpolating drought indices. However, ordinary kriging only provided a statistically significant improvement in accuracy for the Palmer Drought Severity Index (PDSI) with the COOP network. Therefore it can be concluded that IDW is a reasonable method for interpolating drought indices, but optimal ordinary kriging provides some improvement in accuracy. The most significant factor affecting the spatial accuracy of drought indices is seasonality (precipitation climatology) and this holds true for almost all the regions of U.S. for 1-month SPI and SPEI. The high-quality USHCN network gives better interpolation accuracy with 6-, 9- and 12-month SPI and variation in errors amongst the different SPI time scales is minimal. The difference between networks is also significant for PDSI. Although the absolute magnitude of the differences between interpolation with COOP and USHCN are small, the accuracy of interpolation with COOP is much more spatially variable than with USHCN.
APA, Harvard, Vancouver, ISO, and other styles
4

Narasimhadhan, A. V. "Image Reconstruction Based On Hilbert And Hybrid Filtered Algorithms With Inverse Distance Weight And No Backprojection Weight." Thesis, 2012. http://etd.iisc.ernet.in/handle/2005/2342.

Full text
Abstract:
Filtered backprojection (FBP) reconstruction algorithms are very popular in the field of X-ray computed tomography (CT) because they give advantages in terms of the numerical accuracy and computational complexity. Ramp filter based fan-beam FBP reconstruction algorithms have the position dependent weight in the backprojection which is responsible for spatially non-uniform distribution of noise and resolution, and artifacts. Many algorithms based on shift variant filtering or spatially-invariant interpolation in the backprojection step have been developed to deal with this issue. However, these algorithms are computationally demanding. Recently, fan-beam algorithms based on Hilbert filtering with inverse distance weight and no weight in the backprojection have been derived using the Hamaker’s relation. These fan-beam reconstruction algorithms have been shown to improve noise uniformity and uniformity in resolution. In this thesis, fan-beam FBP reconstruction algorithms with inverse distance back-projection weight and no backprojection weight for 2D image reconstruction are presented and discussed for the two fan-beam scan geometries -equi-angular and equispace detector array. Based on the proposed and discussed fan-beam reconstruction algorithms with inverse distance backprojection and no backprojection weight, new 3D cone-beam FDK reconstruction algorithms with circular and helical scan trajectories for curved and planar detector geometries are proposed. To start with three rebinning formulae from literature are presented and it is shown that one can derive all fan-beam FBP reconstruction algorithms from these rebinning formulae. Specifically, two fan-beam algorithms with no backprojection weight based on Hilbert filtering for equi-space linear array detector and one new fan-beam algorithm with inverse distance backprojection weight based on hybrid filtering for both equi-angular and equi-space linear array detector are derived. Simulation results for these algorithms in terms of uniformity of noise and resolution in comparison to standard fan-beam FBP reconstruction algorithm (ramp filter based fan-beam reconstruction algorithm) are presented. It is shown through simulation that the fan-beam reconstruction algorithm with inverse distance in the backprojection gives better noise performance while retaining the resolution properities. A comparison between above mentioned reconstruction algorithms is given in terms of computational complexity. The state of the art 3D X-ray imaging systems in medicine with cone-beam (CB) circular and helical computed tomography scanners use non-exact (approximate) FBP based reconstruction algorithm. They are attractive because of their simplicity and low computational cost. However, they produce sub-optimal reconstructed images with respect to cone-beam artifacts, noise and axial intensity drop in case of circular trajectory scan imaging. Axial intensity drop in the reconstructed image is due to the insufficient data acquired by the circular-scan trajectory CB CT. This thesis deals with investigations to improve the image quality by means of the Hilbert and hybrid filtering based algorithms using redundancy data for Feldkamp, Davis and Kress (FDK) type reconstruction algorithms. In this thesis, new FDK type reconstruction algorithms for cylindrical detector and planar detector for CB circular CT are developed, which are obtained by extending to three dimensions (3D) an exact Hilbert filtering based FBP algorithm for 2D fan-beam beam algorithms with no position dependent backprojection weight and fan-beam algorithm with inverse distance backprojection weight. The proposed FDK reconstruction algorithm with inverse distance weight in the backprojection requires full-scan projection data while the FDK reconstruction algorithm with no backprojection weight can handle partial-scan data including very short-scan. The FDK reconstruction algorithms with no backprojection weight for circular CB CT are compared with Hu’s, FDK and T-FDK reconstruction algorithms in-terms of axial intensity drop and computational complexity. The simulation results of noise, CB artifacts performance and execution timing as well as the partial-scan reconstruction abilities are presented. We show that FDK reconstruction algorithms with no backprojection weight have better noise performance characteristics than the conventional FDK reconstruction algorithm where the backprojection weight is known to result in spatial non-uniformity in the noise characteristics. In this thesis, we present an efficient method to reduce the axial intensity drop in circular CB CT. The efficient method consists of two steps: the first one is reconstruction of the object using FDK reconstruction algorithm with no backprojection weight and the second is estimating the missing term. The efficient method is comparable to Zhu et al.’s method in terms of reduction in axial intensity drop, noise and computational complexity. The helical scanning trajectory satisfies the Tuy-smith condition, hence an exact and stable reconstruction is possible. However, the helical FDK reconstruction algorithm is responsible for the cone-beam artifacts since the helical FDK reconstruction algorithm is approximate in its derivation. In this thesis, helical FDK reconstruction algorithms based on Hilbert filtering with no backprojection weight and FDK reconstruction algorithm based on hybrid filtering with inverse distance backprojection weight are presented to reduce the CB artifacts. These algorithms are compared with standard helical FDK in-terms of noise, CB artifacts and computational complexity.
APA, Harvard, Vancouver, ISO, and other styles

Book chapters on the topic "Inverse distance weighted"

1

Liu, Longcheng, Yong Chen, Biao Wu, and Enyu Yao. "Weighted Inverse Minimum Cut Problem under the Sum-Type Hamming Distance." In Frontiers in Algorithmics and Algorithmic Aspects in Information and Management, 26–35. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-29700-7_3.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Emmendorfer, Leonardo Ramos, and Graçaliz Pereira Dimuro. "A Novel Formulation for Inverse Distance Weighting from Weighted Linear Regression." In Lecture Notes in Computer Science, 576–89. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-50417-5_43.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Gossel, Wolfgang, and Michael Falkenhagen. "Line-Geometry-Based Inverse Distance Weighted Interpolation (L-IDW): Geoscientific Case Studies." In Lecture Notes in Earth System Sciences, 333–37. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-32408-6_74.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Karimi, Mobarakeh, Massoud Aman, and Ardeshir Dolati. "Inverse Multi-objective Shortest Path Problem Under the Bottleneck Type Weighted Hamming Distance." In Topics in Theoretical Computer Science, 34–40. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-68953-1_4.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Yin, Huifang, Yamin Dang, Shuqiang Xue, Qianxin Wang, and Hui Yi. "An Improved Inverse Distance Weighted Method for Interpolating ZTD Based on Regional GPS Network." In Lecture Notes in Electrical Engineering, 463–71. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-29187-6_46.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Shiode, Narushige, and Shino Shiode. "Inverse Distance- Weighted Interpolation on a Street Network." In New Frontiers in Urban Analysis, 176–96. CRC Press, 2009. http://dx.doi.org/10.1201/9781439802533.sec3.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

"Deterministic Interpolation." In Spatial Analysis Techniques Using MyGeoffice®, 178–201. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-3270-5.ch008.

Full text
Abstract:
The review of deterministic interpolation approaches of myGeoffice© is the main goal of this chapter. The first two sections focus on first and second order polynomial while sections three and four present multiquadratic techniques and their inverse. Inverse distance weight (IDW) and moving average interpolators are addressed in sections five and six. Nearest neighbor and triangulated irregular network (Voronoy and Delaunay) conclude this chapter.
APA, Harvard, Vancouver, ISO, and other styles
8

Sadollah, Ali, and Joong Hoon Kim. "Imprecise Solutions of Ordinary Differential Equations for Boundary Value Problems Using Metaheuristic Algorithms." In Handbook of Research on Modern Optimization Algorithms and Applications in Engineering and Economics, 401–21. IGI Global, 2016. http://dx.doi.org/10.4018/978-1-4666-9644-0.ch015.

Full text
Abstract:
In this chapter, a general strategy is recommended to solve variety of linear and nonlinear ordinary differential equations (ODEs) with boundary value conditions. With the aid of certain fundamental concepts of mathematics, Fourier series expansion, and metaheuristic algorithms, ODEs can be represented as an optimization problem. The purpose is to reduce the weighted residual error (error function) of the ODEs. Boundary values of ODEs are considered as constraints for the optimization model. Inverted generational distance metric is utilized for evaluation and assessment of approximate solutions versus exact solutions. Four ODEs having different orders and features are approximately solved and compared with their exact solutions. The optimization task is carried out using different optimizers including the particle swarm optimization and the water cycle algorithm. The optimization results obtained show that the proposed method equipped with metaheuristic algorithms can be successfully applied for approximate solving of different types of ODEs.
APA, Harvard, Vancouver, ISO, and other styles
9

"Burbot: Ecology, Management, and Culture." In Burbot: Ecology, Management, and Culture, edited by Travis B. Horton and Adam C. Strainer. American Fisheries Society, 2008. http://dx.doi.org/10.47886/9781888569988.ch13.

Full text
Abstract:
<em>Abstract.</em>—Although burbot <em>Lota lota </em>are native to Montana, little is known about their distribution, life history, and ecology. The objectives of this study were to determine the distribution, relative abundance, and population characteristics of burbot in the upper Missouri River basin in north-central Montana, and to compare sampling efficiency of hoop nets, cod traps, and slat traps. Hoop nets and cod traps were fished in the Missouri River during March 2005 and 2006, and slat traps were fished during March 2006. In total, hoop nets were fished 572 net nights, cod traps for 94 net nights, and slat traps for 92 net nights. Catch rates of hoop nets and cod traps were higher in 2005 than in 2006, and catch rates of all gear types were higher in the upstream half of the study area. Mean section-wide hoop-net catch rates exhibited a significant (<EM>P </EM>≤0.05) inverse relationship with increasing distance downstream from Holter Dam, while catch rates for other gear types did not. Catch rates were not significantly different (<EM>P </EM>≥0.05) among gear types. The size (length and weight) and condition (relative weight) of burbot sampled was significantly (<EM>P </EM>≤0.05) different among gear types. Length, weight, and relative weight were higher for burbot sampled in hoop nets and cod traps than those sampled in slat traps. Slat traps were effective at sampling small (≤300 mm) burbot. Although most (80%) burbot were recaptured within 10 km of where they were tagged, three burbot moved more than 33 km. We hypothesize that the distribution of burbot in our study reach has changed and relative abundance has increased due to the cumulative effect of upstream reservoirs (Canyon Ferry, Hauser, and Holter) by decreasing the downstream water temperature regimen.
APA, Harvard, Vancouver, ISO, and other styles
10

Potts, Charlotte R. "The decoration of early shrines and temples." In Religious Architecture in Latium and Etruria, c. 900-500 BC. Oxford University Press, 2015. http://dx.doi.org/10.1093/oso/9780198722076.003.0011.

Full text
Abstract:
An integral part of the transition from ‘huts’ to ‘houses’ in the seventh and early sixth century BC was the adoption of a new roofing system using wooden beams and terracotta tiles instead of traditional thatch. The two elements of the new system formed an integrated unit, with special tiles designed and positioned to protect the perishable wooden beams from rain, wind, and fire; many also carried painted and moulded decorations that have encouraged study of their iconography as well as function. The disappearance of wooden trusses and supporting mud-brick walls from the archaeological record means that thousands of these durable tiles and architectural terracottas now comprise the primary evidence for the size, form, and decoration of many early Etruscan and Latial superstructures. Excavations in the last seventy years have yielded new information about the distribution of the decorative elements of these roofs in Etruria and Latium, and in particular about the different types of buildings on which they appeared. It is clear that architectural terracottas were initially placed on a wide variety of buildings, unlike their Greek counterparts, but gradually became the preserve of religious architecture. This chapter will examine the nature and location of these roofs, their imagery, and explanations for their increasingly limited use. As such it will offer a detailed analysis of the process by which terracottas became a means of differentiating religious buildings from vernacular architecture during the sixth century BC. Tile production appears to have begun in central Italy by the middle of the seventh century BC and can be associated with significant changes in society and economy. With an approximate weight of 60 kilograms per square metre for tiles and up to 85 kilograms per square metre for the supporting roof beams, the downward and outward pressure of tiled roofs had to be countered with strong, preferably stonebased, walls following rectangular or square plans, the careful selection of timbers to span greater distances, and specialized craftsmen to make, fit, and repair the roofs. All of these factors imply more sedentary communities than hut architecture, growing technical infrastructure, and an ability and readiness to invest in the greater capital expense of a tiled roof.
APA, Harvard, Vancouver, ISO, and other styles

Conference papers on the topic "Inverse distance weighted"

1

Li, Zhengquan, Kuo Wang, Hao Ma, and Yaoxiang Wu. "An Adjusted Inverse Distance Weighted Spatial Interpolation Method." In Proceedings of the 2018 3rd International Conference on Communications, Information Management and Network Security (CIMNS 2018). Paris, France: Atlantis Press, 2018. http://dx.doi.org/10.2991/cimns-18.2018.29.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Li, Zhongxue, Xin Li, Cuiping Li, and Zhiguo Cao. "Improvement on inverse distance weighted interpolation for ore reserve estimation." In 2010 Seventh International Conference on Fuzzy Systems and Knowledge Discovery (FSKD). IEEE, 2010. http://dx.doi.org/10.1109/fskd.2010.5569390.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Yang, Hua, and Nailian Hu. "Improved Inverse Distance Weighted method based on regionalized variable theory." In 2011 International Conference on Multimedia Technology (ICMT). IEEE, 2011. http://dx.doi.org/10.1109/icmt.2011.6002319.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Jing, Juanjuan, Jinsong Zhou, Yacan Li, and Lei Feng. "Spectral curvature correction method based on inverse distance weighted interpolation." In SPIE Remote Sensing, edited by Lorenzo Bruzzone and Francesca Bovolo. SPIE, 2016. http://dx.doi.org/10.1117/12.2241343.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Dong, Liwei, Weijing Yin, and Hong Wang. "General Inverse Maximum Flow Problem under Sum-Type Weighted Hamming Distance." In 2010 International Conference on Management and Service Science (MASS 2010). IEEE, 2010. http://dx.doi.org/10.1109/icmss.2010.5575657.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Deng, Liangdong, Malek Adjouadi, and Naphtali Rishe. "Inverse Distance Weighted Random Forests: Modeling Unevenly Distributed Non-Stationary Geographic Data." In 2020 International Conference on Advanced Computer Science and Information Systems (ICACSIS). IEEE, 2020. http://dx.doi.org/10.1109/icacsis51025.2020.9263208.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Sree Dhevi, A. T. "Imputing missing values using Inverse Distance Weighted Interpolation for time series data." In 2014 Sixth International Conference on Advanced Computing (ICoAC). IEEE, 2014. http://dx.doi.org/10.1109/icoac.2014.7229721.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Cao, Yangbo, and Xiucui Guan. "A Class of Constrained Inverse Bottleneck Optimization Problems under Weighted Hamming Distance." In 2009 International Joint Conference on Computational Sciences and Optimization, CSO. IEEE, 2009. http://dx.doi.org/10.1109/cso.2009.384.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Haibin Luo and Xiufeng He. "An improved inverse distance weighted interpolation method for InSAR tropospheric delay error corrections." In 2011 International Conference on Information Science and Technology (ICIST). IEEE, 2011. http://dx.doi.org/10.1109/icist.2011.5765295.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Geler, Zoltan, Vladimir Kurbalija, Mirjana Ivanovic, and Milos Radovanovic. "Time-Series Classification with Constrained DTW Distance and Inverse-Square Weighted k-NN." In 2020 International Conference on INnovations in Intelligent SysTems and Applications (INISTA). IEEE, 2020. http://dx.doi.org/10.1109/inista49547.2020.9194639.

Full text
APA, Harvard, Vancouver, ISO, and other styles
You might also be interested in the extended bibliographies on the topic 'Inverse distance weighted' for particular source types:
Journal articles
We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!

To the bibliography