Relevant bibliographies by topics / Functional Pruning

Contents

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

Academic literature on the topic 'Functional Pruning'

Author: Grafiati
Published: 2 November 2024

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Journal articles on the topic "Functional Pruning"

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SHAMIR, N., D. SAAD, and E. MAROM. "NEURAL NET PRUNING BASED ON FUNCTIONAL BEHAVIOR OF NEURONS." International Journal of Neural Systems 04, no. 02 (June 1993): 143–58. http://dx.doi.org/10.1142/s0129065793000134.

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This paper proposes a new pruning method based on merging neurons with similar functional behavior which is defined by the internal representations of each neuron for the entire training set. Classification of neurons by their functional behavior with respect to the input vectors provides a powerful tool for pruning neurons and connections, thus reducing the network complexity and increasing its generalization capability. The most remarkable property of this pruning scheme is its ability to preserve net functionality by transferring the role of every removed neuron to the most fitted neuron of the surviving ones, using a unique merging and compensation procedure. The implementation of the proposed method is demonstrated using a detailed numerical example and its performance is examined by a statistical measure calculated by repeating the training procedure several times. The influence of parameter selection on pruning performance and generalization ability is discussed and demonstrated by examining statistical results.
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Elston, G. N., T. Oga, and I. Fujita. "Spinogenesis and Pruning Scales across Functional Hierarchies." Journal of Neuroscience 29, no. 10 (March 11, 2009): 3271–75. http://dx.doi.org/10.1523/jneurosci.5216-08.2009.

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Iwasaki, Hideya, Takeshi Morimoto, and Yasunao Takano. "Pruning with improving sequences in lazy functional programs." Higher-Order and Symbolic Computation 24, no. 4 (November 2011): 281–309. http://dx.doi.org/10.1007/s10990-012-9086-3.

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Lugaresi, Adriana, Cristiano André Steffens, Angélica Schmitz Heinzen, Cristhian Leonardo Fenili, Alberto Fontanella Brighenti, Mariuccia Schlichting De Martin, and Cassandro Vidal Talamini do Amarante. "The influence of the summer pruning on ‘Fuji’ apples storage under controlled atmosphere." Acta Scientiarum. Agronomy 46, no. 1 (December 12, 2023): e63557. http://dx.doi.org/10.4025/actasciagron.v46i1.63557.

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This study aimed to evaluate the effect of the summer pruning time in ‘Fuji’ apple trees on the quality of fruit at harvest and after storage in controlled atmosphere with extremely low O2 (CA-ELO) (0.5 kPa O2). The treatments evaluated were summer pruning in December, January, and February, in addition to a control treatment (without summer pruning). The experiment was carried out in the 2018/2019 and 2019/2020 growing seasons. The fruit were evaluated at harvest and after eight months of CA-ELO (0.5 kPa O2 + <0.5 kPa CO2/1.5 ± 0.2°C/92 ± 2% RH) storage, at chamber opening, and after 7 days of shelf-life at 23 ± 3°C and 60 ± 5% RH. The quality of the fruit was evaluated through of soluble solids, flesh firmness, titratable acidity, fruit color, and physiological disorder incidence (sunburn and flesh browning), in addition to enzymatic activity and concentration of functional compounds. There was no significant effect of the summer pruning time on fruit flesh firmness, soluble solids, titratable acidity, and rot incidence after storage under CA-ELO plus 7 days of shelf life. Summer pruning in February resulted in fruit with higher peel red color development, which in general contains a higher concentration of functional compounds at harvest (total phenolic compounds and total antioxidant activity), and lower flesh browning incidence in ‘Fuji’ apples stored under CA-ELO. The nitrogen (N) concentration and nitrogen/calcium ratio (N/Ca) in the second growing season were lower in fruit from plants pruned in February, compared to no summer pruning or earlier pruning. The superoxide dismutase and peroxidase enzyme activity were lower in fruit from treatments with summer pruning in January and February, whereas the polyphenol oxidase enzyme activity was lower when summer pruning was conducted in February.
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Li, J., J. Liu, H. Toivonen, and J. Yong. "Effective Pruning for the Discovery of Conditional Functional Dependencies." Computer Journal 56, no. 3 (June 24, 2012): 378–92. http://dx.doi.org/10.1093/comjnl/bxs082.

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Zhang, Qi, Ying Zhang, Pengyao Miao, Meihui Chen, Mengru Du, Xiaomin Pang, Jianghua Ye, Haibin Wang, and Xiaoli Jia. "Effects of Pruning on Tea Tree Growth, Soil Enzyme Activity and Microbial Diversity." Agronomy 13, no. 5 (April 25, 2023): 1214. http://dx.doi.org/10.3390/agronomy13051214.

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In order to investigate the effect of pruning on the soil environment in which tea trees grow and the growth of tea trees, this study used Wuyi Meizhan (Camellia sinensis) as a research object and measured its growth indexes, soil physicochemical indexes, soil enzyme activity and microbial functional diversity to analyze the effects of pruning treatments on the growth of tea trees, soil enzyme activity and soil microbial functional diversity and the correlation between them. The results of the analysis of tea tree growth indexes showed that the hundred-bud weight, leaf area and yield in the pruning treatment were significantly higher than those in the unpruned treatment. The results of soil physicochemical index analysis showed that pH, available phosphorus, available potassium and organic matter were significantly higher in the pruning treatment than in the unpruned treatment (p < 0.05), while available nitrogen and total phosphorus were significantly lower than in unpruned treatment (p < 0.05). The results of soil enzyme activities showed that only polyphenol oxidase and catalase activities were significantly higher in the pruning than in the unpruned treatment, while urease, protease, acid phosphatase, asparaginase and glutaminase activities were significantly lower than in the unpruned treatment (p < 0.05). Biolog analysis showed that the utilization of microbial carbon sources, especially amino acid and amine, increased in the rhizosphere soil of the pruned tea tree, while there was a significant decrease (p < 0.05) in microbial diversity. It is evident that pruning promoted tea tree growth and some enzyme activity, while inhibiting the activity of enzymes associated with the nitrogen cycle, and the utilization of microbial carbon sources increased, but their diversity decreased. This study provides a theoretical basis for the daily management of tea plantation after pruning.
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Low, Lawrence K., and Hwai-Jong Cheng. "Axon pruning: an essential step underlying the developmental plasticity of neuronal connections." Philosophical Transactions of the Royal Society B: Biological Sciences 361, no. 1473 (July 28, 2006): 1531–44. http://dx.doi.org/10.1098/rstb.2006.1883.

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Regressive events play a key role in modifying neural connectivity in early development. An important regressive event is the pruning of neuronal processes. Pruning is a strategy often used to selectively remove exuberant neuronal branches and connections in the immature nervous system to ensure the proper formation of functional circuitry. In the following review, we discuss our present understanding of the cellular and molecular mechanisms that regulate the pruning of axons during neuronal development as well as in neurological diseases. The evidence suggests that there are several similarities between the mechanisms that are involved in developmental axon pruning and axon elimination in disease. In summary, these findings provide researchers with a unique perspective on how developmental plasticity is achieved and how to develop strategies to treat complex neurological diseases.
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Leporini, Mariarosaria, Rosa Tundis, Vincenzo Sicari, and Monica Rosa Loizzo. "Citrus species: Modern functional food and nutraceutical-based product ingredient." Italian Journal of Food Science 33, no. 2 (May 27, 2021): 63–107. http://dx.doi.org/10.15586/ijfs.v33i2.2009.

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Citrus is the most cultivated fruit crop in the world and occupies a place of considerable importance in the country’s economy. Almost 33% of the citrus fruits are processed for juice production; however, a great amount of wastes, including peels, segment membranes, and seeds are also produced. Indeed, citrus fruits consist of 45% juice, 26% pulp, 27% peels, and 2% seeds. Pruning, a cultural practice involving the removal of tree branches and limbs, was applied to improve fruit’s quality. A large amount of leaves are produced through pruning. These agri-food matrices contain a wide range of bioactive phytochemicals compared to fruits. The present review covers the past 5 years of research carried out in chemistry, health properties, and applications in food and nutraceutical industries of all portions of citrus fruit and its major bioactive compounds. Additionally, patents are also included.
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Mäkelä, Annikki. "A Carbon Balance Model of Growth and Self-Pruning in Trees Based on Structural Relationships." Forest Science 43, no. 1 (February 1, 1997): 7–24. http://dx.doi.org/10.1093/forestscience/43.1.7.

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Abstract A tree growth model is formulated based on structural relationships in a carbon balance framework. Three relationships are applied: (1) an allometric relationship between crown surface area and foliage area, (2) the principle of functional balance, and (3) the pipe-model theory. These assumptions lead to a model where the sizes of the functional parts of the tree are derivable from foliage weight, except for the pruning height of the crown. This is determined by defining a "self-pruning coefficient," which controls the allocation of growth between height growth and foliage growth. The tree model is applied to an average-tree based stand growth model where both the self-pruning coefficient and tree mortality are made functions of crown coverage. The model is quantified for Scots pine growing in southern Fenno-Scandia. The overall behavior of the model is realistic. The model responds to stocking density through the rate of self-pruning, lower stocking densities leading to larger crown ratios. It also responds to changes in parameters describing site quality in a realistic way, although the differences in stand density are not as large as expected. The predicted development of the biomass compartments in individual trees agrees well with data on dominant Scots pine trees in Finland. For. Sci. 43(1):7-24.
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Sun, Xiaochuan, Yu Wang, Mingxiang Hao, Yingqi Li, and Tianyu Huang. "Reservoir structure optimization of echo state networks: A detrended multiple cross-correlation pruning perspective." Journal of Intelligent & Fuzzy Systems 46, no. 5-6 (October 24, 2024): 11263–75. http://dx.doi.org/10.3233/jifs-233605.

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Reservoir structure optimization of echo state networks (ESN) is an important enabler for improving network performance. In this regard, pruning provides an effective means to optimize reservoir structure by removing redundant components in the network. Existing studies achieve reservoir pruning by removing insignificant neuronal connections. However, such processing causes the optimized neurons to still remain in the reservoir and thus hinder network inference by participating in computations, leading to suboptimal utilization of pruning benefits by the network. To solve this problem, this paper proposes an adaptive pruning algorithm for ESN within the detrended multiple cross-correlation (DMC2) framework, i.e., DMAP. On the whole, it contains two main functional parts: DMC2 measure of reservoir neurons and reservoir pruning. Specifically, the former is used to quantify the correlation among neurons. Based on this, the latter can remove neurons with high correlation from the reservoir completely, and finally obtain the optimal network structure by retraining the output weights. Experiment results show that DMAP-ESN outperforms its competitors in nonlinear approximation capability and reservoir stability.
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Dissertations / Theses on the topic "Functional Pruning"

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Shabarshova, Liudmila. "Geometric functional pruning for change point detection in low-dimensional exponential family models." Electronic Thesis or Diss., université Paris-Saclay, 2024. http://www.theses.fr/2024UPASM026.

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La détection de ruptures est un problème courant d'apprentissage non supervisé dans de nombreux domaines d'application, notamment en biologie, en génomique, en surveillance de réseaux de capteurs et en cybersécurité. En général, soit une détection de ruptures a posteriori, c'est-à-dire hors ligne, soit une détection de ruptures séquentielle, c'est-à-dire en ligne, est envisagée.Des méthodes standard de programmation dynamique pour la détection de ruptures ont été proposées pour optimiser le logarithme du rapport de vraisemblance. Ces méthodes sont exactes et récupèrent des segmentations optimales. Cependant, elles ont une complexité quadratique. Réduire continuellement l'ensemble des candidats potentiels de ruptures, appelé élagage, est un moyen de réduire la complexité computationnelle des méthodes standard de programmation dynamique. Au cours de la dernière décennie, une nouvelle classe de méthodes de programmation dynamique, appelée élagage fonctionnel, a été proposée.Les techniques d'élagage fonctionnel utilisées dans ces méthodes ont déjà prouvé leur efficacité computationnelle pour les modèles de ruptures paramétriques univariés. Étendre les règles d'élagage fonctionnel univarié à des contextes multivariés est difficile si l'on vise l'élagage le plus efficace. Cela conduit à des problèmes d'optimisation non convexes.Cette thèse présente deux nouvelles méthodes de programmation dynamique d'élagage fonctionnel, efficaces en termes de calcul, pour la détection de ruptures dans les modèles de famille exponentielle de faible dimension : la méthode de détection de ruptures multiples hors ligne, GeomFPOP (Kmax = ∞), et la méthode de détection d'une rupture en ligne, MdFOCuS.La géométrie computationnelle est la base des règles d'élagage fonctionnel pour ces méthodes. La règle d'élagage de GeomFPOP (Kmax = ∞) utilise une heuristique géométrique pour mettre à jour et élaguer les candidats potentiels de ruptures au fil du temps. La règle d'élagage de MdFOCuS utilise une connexion avec un problème d'enveloppe convexe qui simplifie la recherche de la rupture à élaguer. De plus, nous démontrons mathématiquement que cette technique d'élagage conduit à une complexité en temps quasi-linéaire.Ces deux règles d'élagage montrent des améliorations significatives de la complexité computationnelle pour les modèles de famille exponentielle de faible dimension dans des études de simulation. En une minute, les implémentations Rcpp de ces méthodes peuvent traiter plus de 2 × 106 observations dans un signal bivarié sans ruptures avec un bruit gaussien i.i.d
Change point detection is a common unsupervised learning problem in many application areas, especially in biology, genomics, sensor network monitoring, and cyber-security. Typically, either a posteriori change detection, i.e. offline, or sequential change detection, i.e. online, is considered.Standard dynamic programming methods for change point detection have been proposed to optimise either the likelihood or the log-likelihood ratio of a change point model. These methods are exact and recover optimal segmentations. However, they have quadratic complexity. Continuously reducing the set of potential change point candidates, called pruning, is a way to reduce the computational complexity of standard dynamic programming methods. Over the last decade, a new class of dynamic programming methods, called functional pruning, has been proposed. The functional pruning techniques used in these methods have already proved to be computationally efficient for univariate parametric change point models. Extending univariate functional pruning rules to multivariate settings is difficult if we aim for the most efficient pruning. It leads to non-convex optimisation problems.This thesis introduces two novel, computationally efficient, functional pruning dynamic programming methods for the detection of change points in low-dimensional exponential family models: the offline multiple change point detection method, GeomFPOP (Kmax = ∞), and the online single change point detection method, MdFOCuS.Computational geometry is the basis of the functional pruning rules for these methods. The pruning rule of GeomFPOP (Kmax = ∞) uses a geometric heuristic to update and prune potential change point candidates over time. The pruning rule of MdFOCuS uses a connection to a convex hull problem that simplifies the search for change point location to be pruned. Further we mathematically demonstrate that this pruning technique leads to a quasi-linear runtime complexity.These two pruning rules show significant improvements in computational complexity for low-dimensional exponential family models in simulation studies. In one minute, the Rcpp implementations of these methods can process more than 2 × 106 observations in a bivariate signal without change with i.i.d. Gaussian noise
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Prewitt, Sarah F. "Phylogenetic and Functional Characterization of Cotton (Gossypium hirsutum) CENTRORADIALIS/TERMINAL FLOWER1/SELF-PRUNING Genes." Thesis, University of North Texas, 2017. https://digital.library.unt.edu/ark:/67531/metadc1062895/.

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Plant architecture is an important agronomic trait driven by meristematic activities. Indeterminate meristems set repeating phytomers while determinate meristems produce terminal structures. The centroradialis/terminal flower1/self pruning (CETS) gene family modulates architecture by controlling determinate and indeterminate growth. Cotton (G. hirsutum) is naturally a photoperiodic perennial cultivated as a day-neutral annual. Management of this fiber crop is complicated by continued vegetative growth and asynchronous fruit set. Here, cotton CETS genes are phylogenetically and functionally characterized. We identified eight CETS genes in diploid cotton (G. raimondii and G. arboreum) and sixteen in tetraploid G. hirsutum that grouped within the three generally accepted CETS clades: flowering locus T (FT)-like, terminal flower1/self pruning (TFL1/SP)-like, and mother of FT and TFL1 (MFT)-like. Over-expression of single flower truss (GhSFT), the ortholog to Arabidopsis FT, accelerates the onset of flowering in Arabidopsis Col-0. In mutant rescue analysis, this gene driven by its native promoter rescues the ft-10 late flowering phenotype. GhSFT upstream sequence was used to drive expression of the uidA reporter gene. As anticipated, GUS accumulated in the vasculature of Arabidopsis leaves. Cotton has five TFL1-like genes, all of which delay flowering when ectopically expressed in Arabidopsis; the strongest phenotypes fail to produce functional flowers. Three of these genes, GhSP, GhTFL1-L2, and GhBFT-L2, rescue the early flowering tfl1-14 mutant phenotype. GhSPpro:uidA promoted GUS activity specifically in plant meristems; whereas, other GhTFL1-like promoters predominately drove GUS activities in plant vascular tissues. Finally, analysis of Gossypium CETS promoter sequences predicted that GhSFT, GhSP, GhTFL1-L1, GhTFL1-L2 and GhBFT-L2 are regulated by transcription factors involved in shoot and flowering development. Analysis of cotton's two MFT homologs indicated that neither gene functions to control shoot architecture. Our results emphasize the functional conservation of members of this gene family in flowering plants and also suggest this family as targets during artificial selection of domestication.
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Palm, Emanuel. "Implications and Impact of Blockchain Transaction Pruning." Thesis, Luleå tekniska universitet, Institutionen för system- och rymdteknik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-64986.

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This thesis presents an extension to Hyperledger Fabric, a private blockchain system, allowing historic transactions to be pruned without peer coordination. The feature is facilitated via pruning predicate functions, provided along any smart contracts a given system is desired to host. An evaluation of the extension demonstrates its impact, in terms of memory saved, for a specific asset delivery use case. It is concluded that the gains of pruning historic transactions from blockchain systems could yield significantly reduced storage requirements for some categories of applications, especially such with low transaction interdependency. It is also suggested that the deterministic consensus algorithms used by Hyperledger Fabric makes the transaction histories it may maintain not strictly required, meaning that the particular set of transactions that must survive pruning depend on what properties a blockchain is expected to maintain.
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Kučírek, Tomáš. "Umělá inteligence pro hraní her." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2012. http://www.nusl.cz/ntk/nusl-412861.

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Arimaa is a strategic board game for two players. It was designed to be simple for human players and difficult for computers. The aim of this thesis is to design and implement the program with features of the artificial intelligence, which would be able to defeat human players. The implementation was realized in the three key parts: evaluation position, generation of moves and search. The program was run on the game server and defeated many bots as well as human players.
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Kubisz, Jan. "Využití umělé inteligence k monitorování stavu obráběcího stroje." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2020. http://www.nusl.cz/ntk/nusl-417752.

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Diploma thesis focus on creation of neural network’s internal structure with goal of creation Artificial Neural Network capable of machine state monitoring and predicting its remaining usefull life. Main goal is creation of algorithm’s and library for design and learning of Artificial Neural Network, and deeper understanding of the problematics in the process, then by utilising existing libraries. Selected method was forward-propagation network with multi-layered perceptron architecture, and backpropagation learning. Achieved results was, that the network was able to determine parts state from vibration measurement and on its basis predict remaining usefull life.
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Book chapters on the topic "Functional Pruning"

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Qiu, Shoumeng, Yuzhang Gu, and Xiaolin Zhang. "BFRIFP: Brain Functional Reorganization Inspired Filter Pruning." In Lecture Notes in Computer Science, 16–28. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-86380-7_2.

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Qiu, Shoumeng, Yuzhang Gu, and Xiaolin Zhang. "Correction to: BFRIFP: Brain Functional Reorganization Inspired Filter Pruning." In Lecture Notes in Computer Science, C1. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-86380-7_57.

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Zouggar, Souad Taleb, and Abdelkader Adla. "A New Function for Ensemble Pruning." In Decision Support Systems VIII: Sustainable Data-Driven and Evidence-Based Decision Support, 181–90. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-90315-6_15.

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Sha, Chaofeng, Keqiang Wang, Xiaoling Wang, and Aoying Zhou. "Ensemble Pruning: A Submodular Function Maximization Perspective." In Database Systems for Advanced Applications, 1–15. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-05813-9_1.

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Shi, Daming, Junbin Gao, Daniel So Yeung, and Fei Chen. "Radial Basis Function Network Pruning by Sensitivity Analysis." In Advances in Artificial Intelligence, 380–90. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-24840-8_27.

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Sutton-Charani, Nicolas, Sébastien Destercke, and Thierry Denœux. "Training and Evaluating Classifiers from Evidential Data: Application to E2M Decision Tree Pruning." In Belief Functions: Theory and Applications, 87–94. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-11191-9_10.

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Borera, Eddy C., Larry D. Pyeatt, Arisoa S. Randrianasolo, and Madhi Naser-Moghadasi. "POMDP Filter: Pruning POMDP Value Functions with the Kaczmarz Iterative Method." In Advances in Artificial Intelligence, 254–65. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-16761-4_23.

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Hoque, Md Tamjidul, Madhu Chetty, and Laurence S. Dooley. "Efficient Computation of Fitness Function by Pruning in Hydrophobic-Hydrophilic Model." In Biological and Medical Data Analysis, 346–54. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11573067_35.

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Parkinson, Randall W., Monica Perez-Bedmar, and Jenna A. Santangelo. "Red mangrove (Rhizophora mangle L.) litter fall response to selective pruning (Indian River Lagoon, Florida, U.S.A.)." In Diversity and Function in Mangrove Ecosystems, 63–76. Dordrecht: Springer Netherlands, 1999. http://dx.doi.org/10.1007/978-94-011-4078-2_7.

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Li, Jing, Bao-Liang Lu, and Michinori Ichikawa. "An Algorithm for Pruning Redundant Modules in Min-Max Modular Network with GZC Function." In Lecture Notes in Computer Science, 293–302. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11539087_35.

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Conference papers on the topic "Functional Pruning"

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Yang, Dun-An, Jing-Jia Liou, and Harry H. Chen. "Transient Fault Pruning for Effective Candidate Reduction in Functional Debugging." In 2022 IEEE International Test Conference (ITC). IEEE, 2022. http://dx.doi.org/10.1109/itc50671.2022.00014.

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Li, Qingwei, Wenyong Zhang, Zhiwen Shen, and He Qifeng. "Photovoltaic power output forecasting based on similar day analysis and sensitive pruning extreme learning machine." In 2022 International Conference on Optoelectronic Information and Functional Materials (OIFM 2022), edited by Chao Zuo. SPIE, 2022. http://dx.doi.org/10.1117/12.2638674.

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Cheng, Feng, and Zhe Yang. "New Pruning Methods for Mining Minimal Functional Dependencies from Large-Scale Distributed Data." In 2018 Sixth International Conference on Advanced Cloud and Big Data (CBD). IEEE, 2018. http://dx.doi.org/10.1109/cbd.2018.00055.

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Mandros, Panagiotis, Mario Boley, and Jilles Vreeken. "Discovering Reliable Dependencies from Data: Hardness and Improved Algorithms." In Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. California: International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/864.

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The reliable fraction of information is an attractive score for quantifying (functional) dependencies in high-dimensional data. In this paper, we systematically explore the algorithmic implications of using this measure for optimization. We show that the problem is NP-hard, justifying worst-case exponential-time as well as heuristic search methods. We then substantially improve the practical performance for both optimization styles by deriving a novel admissible bounding function that has an unbounded potential for additional pruning over the previously proposed one. Finally, we empirically investigate the approximation ratio of the greedy algorithm and show that it produces highly competitive results in a fraction of time needed for complete branch-and-bound style search.
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Ghosh, Gourhari, Ajay Sidpara, and P. P. Bandyopadhyay. "Characterization of Nanofinished WC-Co Coating Using Advanced 3D Surface Texture Parameters." In ASME 2018 13th International Manufacturing Science and Engineering Conference. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/msec2018-6592.

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WC-Co coatings are extensively used in abrasion, sliding, and erosion resistance applications for its favourable mechanical properties. Nanofinishing of WC-Co coating is required for aircraft landing gear cylinder and diesel engine cylinder. Characterisation of surface topography becomes an important aspect in tribological applications as it has significant effect on the functional performance of the surfaces. In this present study, the motif analysis with 5% wolf pruning is applied to identify the significant hills for pattern reorganization of the surface texture generated by different finishing steps such as grinding, shape adaptive grinding (SAG) and chemical assisted SAG (CA-SAG). Several 3D advanced texture parameters are employed to characterize the coated surface before and after finishing in terms of surface roughness, third and fourth moments (skewness and kurtosis) of the probability density function, bearing area ratio curve and fluid retention properties of the surface. Furthermore, power spectral density (PSD) analysis is performed to analyse the unevenness and periodicity of the texture. It is observed that the fluid retention property and the bearing property of the surface improve with the subsequent finishing stage.
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Liu, Yuchen, S. Y. Kung, and David Wentzlaff. "Evolving transferable neural pruning functions." In GECCO '22: Genetic and Evolutionary Computation Conference. New York, NY, USA: ACM, 2022. http://dx.doi.org/10.1145/3512290.3528694.

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Rodriguez Lizana, Antonio, Maria Joao Pereira, Alzira Ramos, Manuel Moreno Garcia, and Manuel Ribeiro. "STUDY OF THE UNCERTAINTY OF THE AMOUNT OF PRUNING IN THE OLIVE GROVE USING GEOSTATISTICAL ALGORITHMS." In 22nd International Multidisciplinary Scientific GeoConference 2022. STEF92 Technology, 2022. http://dx.doi.org/10.5593/sgem2022v/3.2/s14.50.

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Olive pruning mulch modifies the physical, chemical and biological properties of the soil. They are an efficient soil and water conservation system, while simultaneously improving the organic matter content of the soil. In any case, their effect on soil properties is a function of the densities provided. In any agricultural field, there can be significant variations in plant size, which can affect the amount of pruning obtained. In this research, a spatial sampling of pruning amount collected in olive trees (n=59) in a 13.1-ha traditional olive grove located in Cordoba (Spain), was conducted to estimate the mean pruning amount and assess its spatial uncertainty. In addition, the projected areas of all trees in the field (n=928) were determined. Tree projected area was found to be well correlated with the amount of pruning (Pearson correlation coefficient value of 0.74). The spatial continuity of the study variables was determined using isotropic variograms with nested spherical models. Direct sequential simulation and cosimulation algorithms were used to generate 125 realizations of each variable and map the spatial uncertainty of the amount of pruning in unsampled areas. The results indicate that pruning amounts exhibit spatial continuity. The projected area of the trees is a useful variable to improve estimates of total amount of pruning.
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8

Oliveira, Saulo A. F., Ajalmar R. Rocha Neto, and João P. P. Gomes. "On Model Complexity Reduction in Instance-Based Learners." In Anais Estendidos da Conference on Graphics, Patterns and Images. Sociedade Brasileira de Computação - SBC, 2022. http://dx.doi.org/10.5753/sibgrapi.est.2022.23253.

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Instance-based learners habitually adopt instance selection techniques to reduce complexity and avoid overfitting. Such learners’ most recent and well-known formulations seek to impose some sparsity in their training and prediction structure alongside regularization to meet such a result. Due to the variety of such instance-based learners, we will draw attention to the Least-Squares Support Vector Machines and Minimal Learning Machines because they embody additional information beyond the stored instances to perform predictions. Later, this thesis proposes variants constraining candidate solutions within a specific functional space where we avoid overfitting and reduce model complexity. The central core of such variants is related to penalizing samples with a specific condition during learning. For regressors, we adopted strategies based on random and observed linearity conditions related to the data. At the same time, we borrowed definitions from the computer vision field for classification tasks to derive a concept we call the classcorner relationship (in which we designed an instance selection algorithm). In the Least-Squares Support Vector Machines context, this thesis follows the pruning fashion by adopting the samples that share such a class-corner relationship. As for the Minimal Learning Machine model, this thesis introduces a new proposal called the Lightweight Minimal Learning Machine, a faster model for out-of-sample prediction due to the reduced number of computations inherent in the original proposal’s multilateration process. Another remarkable feature is that it derives a unique solution when other formulations rely on overdetermined systems.
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Flávia de A. Campos, Lívia, Liara M. de Mattos, Aline D. P. dos Santos, and Luis C. Paschoarelli. "An Approach to Evaluation of Aesthetic Function on Usability: An Exploratory Study About Descriptors of Aesthetic in Pruning Shears." In Applied Human Factors and Ergonomics Conference. AHFE International, 2022. http://dx.doi.org/10.54941/ahfe1001315.

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The aim of this study was to discuss the aesthetic evaluation in usability studies. Through an exploratory study with pruning shears, we seek to identify possible descriptors that make up the concept of beauty in these instruments for further evaluation of the perception of these factors with the variables of usability. The study was conducted with 90 subjects divided into three groups and both genders: Design teachers, students design and lay people in the matter. The interviews were individual. Each participant evaluated the appearance of nine pruning shears (with a focus on shape), with an issue which should answer what pruning shears considered more "beautiful", and a protocol for semantic differential with 18 pairs of descriptors of the beautiful, which were developed from definitions of beauty in dictionaries, theories of psychology and philosophy. We identified the most representative descriptors for the pruning shears elected most beautiful. The importance of these results is the possibility of carry out further tests about the influence of these descriptors in the perception of the usability of products, including the influence of the aesthetic function in the perception of usability.
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10

Setiono, R., and A. Gaweda. "Neural network pruning for function approximation." In Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium. IEEE, 2000. http://dx.doi.org/10.1109/ijcnn.2000.859435.

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