Relevant bibliographies by topics / Extensive network of branches

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Extensive network of branches'

Author: Grafiati
Published: 28 May 2022
Last updated: 30 July 2025

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Journal articles on the topic "Extensive network of branches"

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Tang, Zengming, and Jun Huang. "Harmonious Multi-branch Network for Person Re-identification with Harder Triplet Loss." ACM Transactions on Multimedia Computing, Communications, and Applications 18, no. 4 (2022): 1–21. http://dx.doi.org/10.1145/3501405.

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Recently, advances in person re-identification (Re-ID) has benefitted from use of the popular multi-branch network. However, performing feature learning in a single branch with uniform partitioning is likely to separate meaningful local regions, and correlation among different branches is not well established. In this article, we propose a novel harmonious multi-branch network (HMBN) to relieve these intra-branch and inter-branch problems harmoniously. HMBN is a multi-branch network with various stripes on different branches to learn coarse-to-fine pedestrian information. We first replace the
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Petersen, W. J., J. M. Lankes, F. Paulsen, and J. Hassenpflug. "The Arterial Supply of the Lesser Metatarsal Heads: A Vascular Injection Study in Human Cadavers." Foot & Ankle International 23, no. 6 (2002): 491–95. http://dx.doi.org/10.1177/107110070202300604.

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The possibility of avascular changes of the metatarsal heads following forefoot surgery has been previously documented. The aim of this study was to investigate the arterial supply of the lesser metatarsal heads with regard to osteotomies of these bones. We used epoxy resin injections and a modified Spalteholz technique in human cadaveric specimens to demonstrate the intraosseous and extraosseous blood supply of the lesser metatarsals. The metatarsal heads had two arterial sources: The dorsal metatarsal arteries, which arose from the dorsalis pedis artery, and The plantar metatarsal arteries,
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Cui, Yan, Mingyue Shi, and Jielin Jiang. "Multi-Scale Detail–Noise Complementary Learning for Image Denoising." Applied Sciences 14, no. 16 (2024): 7044. http://dx.doi.org/10.3390/app14167044.

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Deep convolutional neural networks (CNNs) have demonstrated significant potential in enhancing image denoising performance. However, most denoising methods fuse different levels of features through long and short skip connections, easily generating a lot of redundant information, thereby weakening the complementarity of different levels of features, resulting in the loss of image details. In this paper, we propose a multi-scale detail–noise complementary learning (MDNCL) network for additive white Gaussian noise removal and real-world noise removal. The MDNCL network comprises two branches, na
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Cui, Yuning, Wenqi Ren, and Alois Knoll. "Omni-Kernel Network for Image Restoration." Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 2 (2024): 1426–34. http://dx.doi.org/10.1609/aaai.v38i2.27907.

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Image restoration aims to reconstruct a high-quality image from a degraded low-quality observation. Recently, Transformer models have achieved promising performance on image restoration tasks due to their powerful ability to model long-range dependencies. However, the quadratically growing complexity with respect to the input size makes them inapplicable to practical applications. In this paper, we develop an efficient convolutional network for image restoration by enhancing multi-scale representation learning. To this end, we propose an omni-kernel module that consists of three branches, i.e.
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Lv, Gang, Yushan Xu, Zuchang Ma, Yining Sun, and Fudong Nian. "Scale and Background Aware Asymmetric Bilateral Network for Unconstrained Image Crowd Counting." Mathematics 10, no. 7 (2022): 1053. http://dx.doi.org/10.3390/math10071053.

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This paper attacks the two challenging problems of image-based crowd counting, that is, scale variation and complex background. To that end, we present a novel crowd counting method, called the Scale and Background aware Asymmetric Bilateral Network (SBAB-Net), which is able to handle scale variation and background noise in a unified framework. Specifically, the proposed SBAB-Net contains three main components, a pre-trained backbone convolutional neural network (CNN) as the feature extractor and two asymmetric branches to generate a density map. These two asymmetric branches have different st
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Chen, Song-Lu, Qi Liu, Jia-Wei Ma, and Chun Yang. "Scale-Invariant Multidirectional License Plate Detection with the Network Combining Indirect and Direct Branches." Sensors 21, no. 4 (2021): 1074. http://dx.doi.org/10.3390/s21041074.

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As the license plate is multiscale and multidirectional in the natural scene image, its detection is challenging in many applications. In this work, a novel network that combines indirect and direct branches is proposed for license plate detection in the wild. The indirect detection branch performs small-sized vehicle plate detection with high precision in a coarse-to-fine scheme using vehicle–plate relationships. The direct detection branch detects the license plate directly in the input image, reducing false negatives in the indirect detection branch due to the miss of vehicles’ detection. W
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Xu, Zhengjun, Detian Huang, Xiaoqian Huang, Jiaxun Song, and Hang Liu. "DLUT: Decoupled Learning-Based Unsupervised Tracker." Sensors 24, no. 1 (2023): 83. http://dx.doi.org/10.3390/s24010083.

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Unsupervised learning has shown immense potential in object tracking, where accurate classification and regression are crucial for unsupervised trackers. However, the classification and regression branches of most unsupervised trackers calculate object similarities by sharing cross-correlation modules. This leads to high coupling between different branches, thus hindering the network performance. To address the above issue, we propose a Decoupled Learning-based Unsupervised Tracker (DLUT). Specifically, we separate the training pipelines of different branches to unlock their inherent learning
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Yan, Li, Jianming Huang, Hong Xie, Pengcheng Wei, and Zhao Gao. "Efficient Depth Fusion Transformer for Aerial Image Semantic Segmentation." Remote Sensing 14, no. 5 (2022): 1294. http://dx.doi.org/10.3390/rs14051294.

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Taking depth into consideration has been proven to improve the performance of semantic segmentation through providing additional geometry information. Most existing works adopt a two-stream network, extracting features from color images and depth images separately using two branches of the same structure, which suffer from high memory and computation costs. We find that depth features acquired by simple downsampling can also play a complementary part in the semantic segmentation task, sometimes even better than the two-stream scheme with the same two branches. In this paper, a novel and effici
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Choe, Donghun, Seung Heum Jeong, and Chunggi Baig. "Structural, topological, and rheological characteristics of entangled short-chain branched polymer melts under shear flow in comparison with the linear analog." Journal of Rheology 68, no. 4 (2024): 591–601. http://dx.doi.org/10.1122/8.0000844.

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We present a detailed analysis of the general influence of short branches on the structural, topological, and rheological behaviors of entangled short-chain branched (SCB) polyethylene (PE) melt systems under shear flow via direct comparison with the corresponding linear analogs using extensive atomistic nonequilibrium molecular dynamics (NEMD) simulations, for a wide range of flow strengths. In comparison with the linear melt, the SCB systems generally exhibit more compact chain structures and larger dynamic resistance, in response to an imposed flow field at all flow strengths. These feature
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Bazyleva, E. A. "Libraries of the European branches of Imperial Russian Geographical Society." Scientific and Technical Libraries, no. 5 (May 16, 2024): 15–29. http://dx.doi.org/10.33186/1027-3689-2024-5-15-29.

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The author reviews the history and development of the libraries of the Imperial Russian Geographical Society European branches, namely the Caucasusian, North-Western and South-Western. The library network of the Geographical Society branches supported local scientists and researchers in their studies. The libraries were established through the donations made by the members, other individuals and institutions. Apart from the donations, the library collections were developed through the book exchange. The branches’ own publishing practice facilitated the expansion of book exchange relations with
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Dissertations / Theses on the topic "Extensive network of branches"

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Малиш, Г. А. "Розгалужена мережа філій банків: переваги та недоліки". Thesis, НО "Economics", 2013. http://essuir.sumdu.edu.ua/handle/123456789/58805.

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У доповіді був розглянутий зарубіжний та вітчизняний досвід управління розгалуженою мережею банківських філій, визначені переваги та недоліки інтенсивного розгалуження філіальної мережі.<br>The report was considered foreign and domestic experience of managing an extensive network of bank branches, identified advantages and disadvantages of intensive branching bank network.
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Francis, Vanessa Ina. "Extensive communication between sensor kinases controlling virulence in the GacS network of Pseudomonas aeruginosa." Thesis, University of Exeter, 2015. http://hdl.handle.net/10871/17434.

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Two component systems (TCSs) are regulatory pathways in bacteria and lower eukaryotes that integrate multiple stimuli and bring about appropriate responses to promote adaptation of the bacteria to their niches. They are commonly insulated from cross-talk and form discrete regulatory systems where the sensor histidine kinase (SK) and the response regulator (RR) share high fidelity for one another. The GacS network controls the switch between acute and chronic virulence of P. aeruginosa. The network is unusual in having a 'core' SK, GacS, which is modulated directly by one other SK, RetS. Here t
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Grove, Christian A. "A Multiparameter Network Reveals Extensive Divergence Between C. elegans bHLH Transcription Factors: A Dissertation." eScholarship@UMMS, 2009. https://escholarship.umassmed.edu/gsbs_diss/441.

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It has become increasingly clear that transcription factors (TFs) play crucial roles in the development and day-to-day homeostasis that all biological systems experience. TFs target particular genes in a genome, at the appropriate place and time, to regulate their expression so as to elicit the most appropriate biological response from a cell or multicellular organism. TFs can often be grouped into families based on the presence of similar DNA binding domains, and these families are believed to have expanded and diverged throughout evolution by several rounds of gene duplication and mutation.
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Paulis, Emilien. "Party Members in Context. Social networks and local branches as context for party membership." Doctoral thesis, Universite Libre de Bruxelles, 2018. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/268717.

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In this doctoral dissertation, I put party members and activists back in context. I stress theimportance of two contextual dimensions, often overlooked in the scientific literature. On theone hand, I put forward social network explanations of party membership and activism,emphasizing the importance of social interactions, relations and structures, which were scarcelyexplored as potential triggers. Like other forms of participation, party membership haspredominantly been portrayed through individuals as isolated, independent units, disconnectedfrom their micro social environment. On the other h
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Skouras, Stavros [Verfasser]. "Neural Correlates of Joy and Fear Evoked by Musical Stimulation : Extensive Investigations of Network Differences and Modulations by fMRI Scanner Noise, fMRI Magnetic Field Strength and a Physiological Measure of Emotional Personality / Stavros Skouras." Berlin : Freie Universität Berlin, 2014. http://d-nb.info/1176657216/34.

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Moutaux, Eve. "Régulation du transport axonal par l'activité neuronale : Implication pour le développement des réseaux neuronaux Neuronal activity recruits an axon-resident pool of secretory vesicles to regulate axon branching Reconstituting Corticostriatal Network on-a-Chip Reveals the Contribution of the Presynaptic Compartment to Huntington’s Disease Neuronal network maturation differently affects secretory vesicles and mitochondria transport in axons ALG-2 interacting protein-X (Alix) is required for activity-dependent bulk endocytosis at brain synapses An integrated microfluidic/microelectrode array for the study of activity-dependent intracellular dynamics in neuronal networks." Thesis, Université Grenoble Alpes, 2020. https://thares.univ-grenoble-alpes.fr/2020GRALV024.pdf.

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Pendant le développement, les projections axonales à longue distance se ramifient pour se connecter à leurs cibles. L’établissement et le remodelage de ces connexions est notamment régulé par l’activité neuronale. L’adaptation de la morphologie de l’axone nécessite alors des quantités importantes de matériel sécrétoire et de facteur trophiques comme le BDNF (brain derived neurotrophic factor). Ce matériel est transporté dans des vésicules le long de l’axone depuis le corps cellulaire où il est synthétisé, vers les sites actifs à l’extrémité de l’axone. Si le relargage de vésicules sécrétoires
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Sunesson, Albin. "Establishing Effective Techniques for Increasing Deep Neural Networks Inference Speed." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-213833.

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Recent trend in deep learning research is to build ever more deep networks (i.e. increase the number of layers) to solve real world classification/optimization problems. This introduces challenges for applications with a latency dependence. The problem arises from the amount of computations that needs to be performed for each evaluation. This is addressed by reducing inference speed. In this study we analyze two different methods for speeding up the evaluation of deep neural networks. The first method reduces the number of weights in a convolutional layer by decomposing its convolutional kerne
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DWIVEDI, MAYANK. "DYNAMIC GROWTH OF HIDDEN-LAYER NEURONS USING THE NON-EXTENSIVE ENTROPY." Thesis, 2014. http://dspace.dtu.ac.in:8080/jspui/handle/repository/15617.

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The dynamic growth of hidden units and the pruning strategy has been sufficiently investigated in case of Radial Basis Function (RBF) neural network but relatively less in the case of feedforward multilayer perceptron (MLP) due to similarity in the hidden units in the MLP. So in this study I present a dynamic neural network that dynamically grows the number of hidden layer neurons based on an increase in the entropy of the weights during training. Before computing the entropy value weights are normalized to probability values. The entropy which is used being referred is the non-extensive
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Tung, Yen-Ting, and 董彥廷. "In vitro Development of Microvascular Network through a Patterned Scaffold of Cylindrical Branches." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/28758462270565947867.

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博士<br>國立中興大學<br>組織工程與再生醫學博士學位學程<br>105<br>The importance of generating a microvessel network in vitro lies in engineering vital tissue of a considerable size or working as a platform for biomedical or cardiovascular studies. However, most of the existing methods for generating microvessel networks with desired patterns in vitro use rectangular channels which cannot represent real vessels in vivo and has dead zones at its corners, hence hindering the circulation of culture medium. We propose a scaffold-wrapping method for fast fabrication of customized microvascular networks in vitro in a more
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Bai, Yau-Dong, and 白燿東. "Evaluating Performance Between Branches in Commercial Bank A-Application of Network DEA model." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/77268125230410007173.

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碩士<br>東吳大學<br>EMBA高階經營碩士在職專班<br>101<br>This study applied Network DEA to investigate performance among 129 branches in Taiwan region of an anonymous commercial bank during the period of 2010 to 2012 We select the deposits and the number of employees as input variables, branch expenses as intermediate goods, spread and non-spread income for the output variables, to examine the efficiency in each branch of commercial bank. The empirical results are summarized as follows: (1) The three-year average total efficiency value of 129 branches is 0.5421, the average total efficiency value of 14 regions
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Books on the topic "Extensive network of branches"

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M, Kelsall Helen, and Kelsall R. Keith 1910-, eds. An album of Scottish families 1694-96: Being the first installment of George Home's Diary, supplemented by much further research into the Edinburgh and border families forming his extensive social network. Aberdeen University Press, 1990.

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Home, George. An album of Scottish families, 1694-96: Being the first instalment of George Home's diary, supplemented by much further research into the Edinburgh and Border families forming his extensive social network. Aberdeen University Press, 1990.

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Quoss-Moore, Rebecca M. Gender and Position-Taking in Henrician Verse. Amsterdam University Press, 2023. http://dx.doi.org/10.5117/9789463723534.

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Tradition, translation, and transcription in Henrician verse functioned together in systems of communally created, coded position-taking. Understanding this system as an extensive network of production and reception in which women took on many roles allows for new readings of Henrician verse that emphasize the interpretive range available to contemporary reading and writing communities. This restoration demasculinizes our approach to Henrician verse not only through a more equitable consideration of gender’s functions in that social world, but also in de-emphasizing individualized self-fashion
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Gaston, Hugh. A Scripture account of the faith and practice of Christians: Consisting of an extensive collection of pertinent texts of Scripture, illustrative of the various articles of revealed religion reduced into distinct sections so as to embrace all the branches of each subject, the motives to the belief or practice of the doctrines taught, and the threatenings, promises, rewards, punishments, examples, etc. annexed : addressed to the understanding, the hopes, and the fears of Christians : the whole forming a complete concordance to all the articles of faith and practice taught in the Holy Scriptures. Parrish, Dunning, & Mears, 1989.

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Mironov, A., and S. Zubarev. Interaction of law enforcement agencies to ensure national security. INFRA-M Academic Publishing LLC., 2022. http://dx.doi.org/10.12737/1860938.

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The monograph examines the main directions of the organization and legal regulation of the interaction of law enforcement agencies in the activities to ensure the national security of the Russian state. Special attention is paid to the important characteristics of the constituent elements of national security, theoretical and methodological aspects of the formation of the mechanism of interaction of law enforcement agencies to ensure state and public security and law and order, as well as the analysis of improving the effectiveness of the practical activities of law enforcement agencies in the
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Kadry, Seifedine, and Mohammed Z. Al-Taie, eds. Social Network Analysis: An Introduction with an Extensive Implementation to a Large-Scale Online Network Using Pajek. BENTHAM SCIENCE PUBLISHERS, 2014. http://dx.doi.org/10.2174/97816080581811140101.

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Coolen, A. C. C., A. Annibale, and E. S. Roberts. Network growth algorithms. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198709893.003.0008.

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Growth processes are a fundamentally different approach compared to probability-driven exponential models covered in earlier chapters. This chapter studies how growth rules can be designed to mimic processes observed in the real world, and how the process can be mathematically analyzed in order to obtain information about the likely topological properties of the resulting networks. The configuration (stub joining) model is described, including a careful discussion of how bias can be introduced if backtracking is used instead of restarting if stubs join to form a self or double link. The second
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Janssen, Stephen Theodore Bart. Smuggling Laid Open, in All Its Extensive and Destructive Branches; with Proposals for the Effectual Remedy of That Most Iniquitous Practice. Creative Media Partners, LLC, 2018.

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Janssen, Stephen Theodore Bart. Smuggling laid open, in all its extensive and destructive branches; with proposals for the effectual remedy of that most iniquitous practice: ... Gale ECCO, Print Editions, 2010.

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Schadt, Eric E. Network Methods for Elucidating the Complexity of Common Human Diseases. Edited by Dennis S. Charney, Eric J. Nestler, Pamela Sklar, and Joseph D. Buxbaum. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190681425.003.0002.

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The life sciences are now a significant contributor to the ever expanding digital universe of data, and stand poised to lead in both the generation of big data and the realization of dramatic benefit from it. We can now score variations in DNA across whole genomes; RNA levels and alternative isoforms, metabolite levels, protein levels, and protein state information across the transcriptome, metabolome and proteome; methylation status across the methylome; and construct extensive protein–protein and protein–DNA interaction maps, all in a comprehensive fashion and at the scale of populations of
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Book chapters on the topic "Extensive network of branches"

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Slikker, Marco, and Anne Van Den Nouweland. "A Network Formation Model in Extensive Form." In Theory and Decision Library. Springer US, 2001. http://dx.doi.org/10.1007/978-1-4615-1569-2_6.

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Tasfe, Mahrin, and Amitabha Chakrabarty. "Extensive Study of Pocket Switched Network Protocols." In Computational Intelligence in Sensor Networks. Springer Berlin Heidelberg, 2018. http://dx.doi.org/10.1007/978-3-662-57277-1_9.

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Zaikin, Oleg, Ivan Derevitskii, Klavdiya Bochenina, and Janusz Holyst. "Optimizing Spatial Accessibility of Company Branches Network with Constraints." In Lecture Notes in Computer Science. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-22741-8_24.

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Ellis, Markman, and Matthew Mauger. "Stephen Theodore Janssen, Smuggling Laid Open, in All Its Extensive and Destructive Branches." In Tea and the Tea-Table in Eighteenth-Century England Vol 3. Routledge, 2024. http://dx.doi.org/10.4324/9781003553236-7.

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Liu, Haowen, Yufei Gao, Lei Shi, Lin Wei, Zheng Shan, and Bo Zhao. "HM-QCNN: Hybrid Multi-branches Quantum-Classical Neural Network for Image Classification." In Advanced Data Mining and Applications. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-46664-9_10.

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Chakraborty, Sudeshna, Maliha Khan, Amrita, Preeti Kaushik, and Zia Nasseri. "An Extensive Review of Wireless Local Area Network Security Standards." In Lecture Notes in Electrical Engineering. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-3067-5_44.

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Danko, George L. "Conservation of a Scalar Extensive in Integral Form." In Model Elements and Network Solutions of Heat, Mass and Momentum Transport Processes. Springer Berlin Heidelberg, 2016. http://dx.doi.org/10.1007/978-3-662-52931-7_3.

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Danko, George L. "Conservation of a Scalar Extensive in Differential Form." In Model Elements and Network Solutions of Heat, Mass and Momentum Transport Processes. Springer Berlin Heidelberg, 2016. http://dx.doi.org/10.1007/978-3-662-52931-7_4.

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Okada, Yuichi, Naoya Ito, and Tomoko Yonezawa. "Optimal Community-Generation Methods for Acquiring Extensive Knowledge on Twitter." In Social Computing and Social Media: Experience Design and Social Network Analysis. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-77626-8_7.

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Liu, Yan, Yuelin Deng, Jinping Su, Ruonan Wang, and Chi Li. "Multiple Input Branches Shift Graph Convolutional Network with DropEdge for Skeleton-Based Action Recognition." In Image Analysis and Processing – ICIAP 2022. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-06427-2_49.

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Conference papers on the topic "Extensive network of branches"

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Siedziako, Bartosz, Torodd Nord, and Luigi Sibille. "The potential of applying structural health monitoring to ferry docks bridges in Norway." In IABSE Congress, San José 2024: Beyond Structural Engineering in a Changing World. International Association for Bridge and Structural Engineering (IABSE), 2024. https://doi.org/10.2749/sanjose.2024.0771.

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&lt;p&gt;Structural Health Monitoring (SHM) is currently one of the fastest-developing branches of structural engineering. It is believed that the proper application of this technique can contribute to increased structural safety, optimized maintenance schedule, more accurate estimation of remaining useful life, developing of early warning systems as well as creating asset prioritization schemes. However, SHM has not been applied so far to ferry dock bridges in Norway despite being a critical part of the infrastructure equal to bridges where SHM has been the topic of extensive research in rece
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Vijayaraghavan, N., K. Kalyana Sundaram, S. Narasimhan, and Veeramalai Sankaradass. "An Extensive Analysis on Predictive Modeling for Network Traffic using Deep Learning Algorithms." In 2025 International Conference on Data Science, Agents & Artificial Intelligence (ICDSAAI). IEEE, 2025. https://doi.org/10.1109/icdsaai65575.2025.11011729.

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Li, Feng, Runmin Cong, Huihui Bai, and Yifan He. "Deep Interleaved Network for Single Image Super-Resolution with Asymmetric Co-Attention." In Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}. International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/ijcai.2020/75.

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Recently, Convolutional Neural Networks (CNN) based image super-resolution (SR) have shown significant success in the literature. However, these methods are implemented as single-path stream to enrich feature maps from the input for the final prediction, which fail to fully incorporate former low-level features into later high-level features. In this paper, to tackle this problem, we propose a deep interleaved network (DIN) to learn how information at different states should be combined for image SR where shallow information guides deep representative features prediction. Our DIN follows a mul
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Zhang, Zhu, Zhou Zhao, Zhijie Lin, Baoxing Huai, and Jing Yuan. "Object-Aware Multi-Branch Relation Networks for Spatio-Temporal Video Grounding." In Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}. International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/ijcai.2020/149.

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Spatio-temporal video grounding aims to retrieve the spatio-temporal tube of a queried object according to the given sentence. Currently, most existing grounding methods are restricted to well-aligned segment-sentence pairs. In this paper, we explore spatio-temporal video grounding on unaligned data and multi-form sentences. This challenging task requires to capture critical object relations to identify the queried target. However, existing approaches cannot distinguish notable objects and remain in ineffective relation modeling between unnecessary objects. Thus, we propose a novel object-awar
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Yang, Sai, Fan Liu, Delong Chen, and Jun Zhou. "Few-shot Classification via Ensemble Learning with Multi-Order Statistics." In Thirty-Second International Joint Conference on Artificial Intelligence {IJCAI-23}. International Joint Conferences on Artificial Intelligence Organization, 2023. http://dx.doi.org/10.24963/ijcai.2023/181.

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Transfer learning has been widely adopted for few-shot classification. Recent studies reveal that obtaining good generalization representation of images on novel classes is the key to improving the few-shot classification accuracy. To address this need, we prove theoretically that leveraging ensemble learning on the base classes can correspondingly reduce the true error in the novel classes. Following this principle, a novel method named Ensemble Learning with Multi-Order Statistics (ELMOS) is proposed in this paper. In this method, after the backbone network, we use multiple branches to creat
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Peng, Jinlong, Zhengkai Jiang, Yueyang Gu, et al. "SiamRCR: Reciprocal Classification and Regression for Visual Object Tracking." In Thirtieth International Joint Conference on Artificial Intelligence {IJCAI-21}. International Joint Conferences on Artificial Intelligence Organization, 2021. http://dx.doi.org/10.24963/ijcai.2021/132.

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Recently, most siamese network based trackers locate targets via object classification and bounding-box regression. Generally, they select the bounding-box with maximum classification confidence as the final prediction. This strategy may miss the right result due to the accuracy misalignment between classification and regression. In this paper, we propose a novel siamese tracking algorithm called SiamRCR, addressing this problem with a simple, light and effective solution. It builds reciprocal links between classification and regression branches, which can dynamically re-weight their losses fo
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Xue, Mengqi, Qihan Huang, Haofei Zhang, et al. "ProtoPFormer: Concentrating on Prototypical Parts in Vision Transformers for Interpretable Image Recognition." In Thirty-Third International Joint Conference on Artificial Intelligence {IJCAI-24}. International Joint Conferences on Artificial Intelligence Organization, 2024. http://dx.doi.org/10.24963/ijcai.2024/168.

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Prototypical part network (ProtoPNet) and its variants have drawn wide attention and been applied to various tasks due to their inherent self-explanatory property. Previous ProtoPNets are primarily built upon convolutional neural networks (CNNs). Therefore, it is natural to investigate whether these explainable methods can be advantageous for the recently emerged Vision Transformers (ViTs). However, directly utilizing ViT-backed models as backbones can lead to prototypes paying excessive attention to background positions rather than foreground objects (i.e., the “distraction” problem). To addr
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Wang, Cong, Wei Wang, Chengjin Yu, and Jie Mu. "Explore Internal and External Similarity for Single Image Deraining with Graph Neural Networks." In Thirty-Third International Joint Conference on Artificial Intelligence {IJCAI-24}. International Joint Conferences on Artificial Intelligence Organization, 2024. http://dx.doi.org/10.24963/ijcai.2024/152.

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Patch-level non-local self-similarity is an important property of natural images. However, most existing methods do not consider this property into neural networks for image deraining, thus affecting recovery performance. Motivated by this property, we find that there exists significant patch recurrence property of a rainy image, that is, similar patches tend to recur many times in one image and its multi-scale images and external images. To better model this property for image detaining, we develop a multi-scale graph network with exemplars, called MSGNN, that contains two branches: 1) intern
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Li, Hanting, Mingzhe Sui, Zhaoqing Zhu, and Feng Zhao. "MMNet: Muscle Motion-Guided Network for Micro-Expression Recognition." In Thirty-First International Joint Conference on Artificial Intelligence {IJCAI-22}. International Joint Conferences on Artificial Intelligence Organization, 2022. http://dx.doi.org/10.24963/ijcai.2022/150.

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Facial micro-expressions (MEs) are involuntary facial motions revealing people’s real feelings and play an important role in the early intervention of mental illness, the national security, and many human-computer interaction systems. However, existing micro-expression datasets are limited and usually pose some challenges for training good classifiers. To model the subtle facial muscle motions, we propose a robust micro-expression recognition (MER) framework, namely muscle motion-guided network (MMNet). Specifically, a continuous attention (CA) block is introduced to focus on modeling local su
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Wu, Jie, Wei Zhang, Guanbin Li, et al. "Weakly-Supervised Spatio-Temporal Anomaly Detection in Surveillance Video." In Thirtieth International Joint Conference on Artificial Intelligence {IJCAI-21}. International Joint Conferences on Artificial Intelligence Organization, 2021. http://dx.doi.org/10.24963/ijcai.2021/162.

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In this paper, we introduce a novel task, referred to as Weakly-Supervised Spatio-Temporal Anomaly Detection (WSSTAD) in surveillance video. Specifically, given an untrimmed video, WSSTAD aims to localize a spatio-temporal tube (i.e., a sequence of bounding boxes at consecutive times) that encloses the abnormal event, with only coarse video-level annotations as supervision during training. To address this challenging task, we propose a dual-branch network which takes as input the proposals with multi-granularities in both spatial-temporal domains. Each branch employs a relationship reasoning m
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Reports on the topic "Extensive network of branches"

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Sanders, Suzanne, Jessica Kirschbaum, Suzanne Sanders, and Jessica Kirschbaum. Forest vegetation monitoring protocol (version 2.1): Great Lakes Inventory and Monitoring Network. National Park Service, 2024. http://dx.doi.org/10.36967/2305281.

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Forest vegetation provides an integrated measure of terrestrial ecosystem health by expressing information about the collective suite of drivers and stressors which act upon it. These include climate, disturbance, browse, and invasive species. We developed a comprehensive forest monitoring protocol to detect change in the nine Great Lakes Network parks. Monitoring is conducted on a nine-year rotation, with each of the parks sampled over the course of one summer, once every nine years. Site locations were selected to ensure that they are random, but also spatially balanced throughout the parks.
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li, huijuan, hedong han, chuling li, et al. Efficacy and safety of first-line PD-1/PD-L1 inhibitor combinations for extensive-stage small-cell lung cancer: A Bayesian network meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2022. http://dx.doi.org/10.37766/inplasy2022.9.0121.

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Li, Meng, Yu-Zhu Chen, Yang Wang, Dazhong Chen, and Hong-Li Zhao. First-line treatment of extensive-stage small cell lung cancer with immune checkpoint inhibitors acting on different targets: a systematic review and network meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2025. https://doi.org/10.37766/inplasy2025.2.0073.

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Ferdaus, Md Meftahul, Mahdi Abdelguerfi, Kendall Niles, Ken Pathak, and Joe Tom. Widened attention-enhanced atrous convolutional network for efficient embedded vision applications under resource constraints. Engineer Research and Development Center (U.S.), 2024. http://dx.doi.org/10.21079/11681/49459.

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Onboard image analysis enables real-time autonomous capabilities for unmanned platforms including aerial, ground, and aquatic drones. Performing classification on embedded systems, rather than transmitting data, allows rapid perception and decision-making critical for time-sensitive applications such as search and rescue, hazardous environment exploration, and military operations. To fully capitalize on these systems’ potential, specialized deep learning solutions are needed that balance accuracy and computational efficiency for time-sensitive inference. This article introduces the widened att
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Zhou, Linjing, Yuwei Li, Le Wang, Ying Jin, and Yun Fan. Efficacy and safety of first-line PD-1/PD-L1 inhibitor combinations with or without Angiogenesis Inhibitors for extensive-stage small-cell lung cancer: a Bayesian network meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2023. http://dx.doi.org/10.37766/inplasy2023.11.0061.

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Kaminski, Linda, Magaly Lavadenz, Elvira Armas, and Grecya López. No. 11, November 2022: Insights from Co-Designed English Learner Improvement Networks. Center for Equity for English Learners, 2022. http://dx.doi.org/10.15365/ceel.policy.12.

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This research brief presents a case study of an English Learner Improvement Network (ELIN), a group of educators focused on a shared problem of practice in English Learner education and supported through extensive collaboration between researchers and practitioners in English Learner education and Improvement Science. The case study involves an urban school district and a charter organization each serving between 50-80% of students who have ever been English Learners. The research brief identifies five key themes that contribute to knowledge of the English Learner Improvement Networks’ ability
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Cusato, Antonio, and Jose Luis Castillo. Access to Credit and the Expansion of Broadband Internet in Peru. Inter-American Development Bank, 2023. http://dx.doi.org/10.18235/0004959.

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We exploit the staggered expansion of the internet broadband network to firms and bank branches locations in Peru during the last decade to study non-financial firm performance and bank credit dynamics. Access to broadband unleashes firm growth, increases the chances of entry of firms and reduces the probability of exit in benefited locations. For those firms that had a borrowing relation with a bank before the expansion of broadband, the increase in sales serves as a signal to banks about their profitability, which in turn respond by providing more credit. Entry and exit from the credit marke
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Russell, Clifford S. Economic Instruments for Water Management in Latin America and the Caribbean: Issue Briefing. Inter-American Development Bank, 2003. http://dx.doi.org/10.18235/0010536.

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The central issue of the II Meeting of the Environment Network of the Regional Policy Dialogue, held on February 25 and 26, 2003, is "the application of economic instruments in water and solid waste management" . This Meeting has, on the water side, been informed by descriptions and analyses of a variety of approaches, including examples from a number of European countries (Kraemer, et al.), a longer study of the French water management system (Feres, et al.), and two Latin American country case studies, Brazil (Seroa da Motta and Feres) and Mexico (Saade Hazin and Saade Hazin). Each study pro
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Jacobsen, Nils. Linjebussens vekst og fall i den voksende byen: en studie av bybussenes geografiske kvalitet Stavanger – Sandnes 1920 – 2010. University of Stavanger, 2019. http://dx.doi.org/10.31265/usps.244.

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Linear city bus services are facing increased challenges from city growth. Increased number of inhabitants on increasing acres of built-up areas, makes it demanding to maintain adequate bus services within reasonable catchment areas. Number of departures per hour give a partial description of the bus service quality. Number of departures give reference to the time aspect of bus service quality, but say nothing about the geographical aspect. What part of the entire line network is within reach of direct bus service when frequencies are limited? To address the geographical aspect of bus service
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Groeneveld, Andrew B., Stephanie G. Wood, and Edgardo Ruiz. Estimating Bridge Reliability by Using Bayesian Networks. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/39601.

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As part of an inspection, bridge inspectors assign condition ratings to the main components of a bridge’s structural system and identify any defects that they observe. Condition ratings are necessarily somewhat subjective, as they are influenced by the experience of the inspectors. In the current work, procedures were developed for making inferences on the reliability of reinforced concrete girders with defects at both the cross section and the girder level. The Bayesian network (BN) tools constructed in this work use simple structural m echanics to model the capacity of girders. By using expe
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