Relevant bibliographies by topics / Neural trunks

Contents

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

Academic literature on the topic 'Neural trunks'

Author: Grafiati
Published: 28 May 2022
Last updated: 31 July 2025

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Journal articles on the topic "Neural trunks"

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Cejnek, Matous, Jan Vrba, Jakub Jura, Pavel Trnka, and Lubor Zeleny. "Comparative Analysis of Popular CNN Based Deep Learning Models for Tree Trunk Detection in Orchards." Neural Network World 34, no. 5 (2024): 263–77. https://doi.org/10.14311/nnw.2024.34.014.

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This study compares machine vision deep learning models based on convolutional neural networks to detect tree trunks in orchards from camera images, with a primary focus on apple trees. Two distinct datasets are used, one original with apple trees and another publicly available featuring vineyard trunks. Multiple deep learning models are tested and compared in order to evaluate their efficacy in tree trunk detection. Research not only provides insight into the performance of various models but also serves as a valuable benchmark for assessing achievable results in orchard-based machine vision
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Christensen, Katie, and Hamid Kulosman. "Some remarks about trunks and morphisms of neural codes." Mathematics for Application 9, no. 1 (2020): 3–16. http://dx.doi.org/10.13164/ma.2020.01.

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F de Alcântara, Francisco Rener. "Anatomical study of the origin and area of innervation that form the brachial plexus of monkey-nail (Sapajus libidinosus)." Clínica Veterinária XXIII, no. 135 (2018): 74–81. http://dx.doi.org/10.46958/rcv.2018.xxiii.n.135.p.74-81.

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We studied, and herein describe, the anatomy of the brachial plexus in the Sapajus libidinosus, a New World primate species. The study of origin and distribution of the nerves that form the brachial plexus of primates contributes to the body of knowledge of veterinary functional anatomy, and can have important ramifications to clinical, surgical, and anesthetic procedures, as well as to the understanding of injuries in these species. We found that the brachial plexus of Sapajus libidinosus is composed of neural fibers originating from the union of the dorsal and ventral roots of the cervical v
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Wang, Chen, Cao, et al. "Individual Rubber Tree Segmentation Based on Ground-Based LiDAR Data and Faster R-CNN of Deep Learning." Forests 10, no. 9 (2019): 793. http://dx.doi.org/10.3390/f10090793.

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Rubber trees in southern China are often impacted by natural disturbances that can result in a tilted tree body. Accurate crown segmentation for individual rubber trees from scanned point clouds is an essential prerequisite for accurate tree parameter retrieval. In this paper, three plots of different rubber tree clones, PR107, CATAS 7-20-59, and CATAS 8-7-9, were taken as the study subjects. Through data collection using ground-based mobile light detection and ranging (LiDAR), a voxelisation method based on the scanned tree trunk data was proposed, and deep images (i.e., images normally used
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Zuzzaifa, Nur, and Rianto Rianto. "Convolutional Neural Network Untuk Perbandingan Optimizer Pada Citra Batang Pohon." Jurnal Sistem Cerdas 6, no. 3 (2023): 179–88. http://dx.doi.org/10.37396/jsc.v6i3.268.

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In the surrounding environment, there are various types of trees with different characteristics. One characteristic of a tree that is difficult to distinguish is its trunk. After researchers made observations, the trunks of Pine and Tabebuya trees had the same characteristics, namely cracking. The problem of incorrectly identifying the characteristics of a tree's trunk can be overcome by classification. Deep Learning with the Convolutional Neural Network (CNN) algorithm is a method commonly used in image classification. The stages in this research include image data retrieval, data preprocessi
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Yasuo, Hitoyoshi, and Patrick Lemaire. "Role of Goosecoid, Xnot and Wnt antagonists in the maintenance of the notochord genetic programme in Xenopus gastrulae." Development 128, no. 19 (2001): 3783–93. http://dx.doi.org/10.1242/dev.128.19.3783.

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The Xenopus trunk organiser recruits neighbouring tissues into secondary trunk axial and paraxial structures and itself differentiates into notochord. The inductive properties of the trunk organiser are thought to be mediated by the secretion of bone morphogenetic protein (BMP) antagonists. Ectopic repression of BMP signals on the ventral side is sufficient to mimic the inductive properties of the trunk organiser. Resultant secondary trunks contain somite and neural tube, but no notochord. We show that inhibition of BMP signalling is sufficient for the initiation of the trunk organiser genetic
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Reynolds, R. P. E., G. W. Effer, and M. P. Bendeck. "The upper esophageal sphincter in the cat: the role of central innervation assessed by transient vagal blockade." Canadian Journal of Physiology and Pharmacology 65, no. 1 (1987): 96–99. http://dx.doi.org/10.1139/y87-019.

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Studies were performed on four cats to assess the role of extrinsic innervation via the cervical nerve trunks in the control of upper esophageal sphincter function. Transient vagal nerve blockade was accomplished by cooling the cervical vagosympathetic nerve trunks previously isolated in skin loops on each side of the neck. Upper esophageal sphincter pressure was measured using a multilumen oval manometry tube and a rapid pull-through technique. The upper esophageal sphincter response to cervical intraesophageal balloon distention and acid perfusion was assessed. The feline upper esophageal sp
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Schlüter, Andreas Marco, Konstantin Redl, Thomas Tschernig, Stephan Maxeiner, and Gabriela Krasteva-Christ. "Rare Superior and Middle Trunk Fusion Accompanied by Altered Division Rearrangement Results in a Unique Brachial Plexus Variant: A Case Report." Diagnostics 14, no. 12 (2024): 1239. http://dx.doi.org/10.3390/diagnostics14121239.

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During routine dissections of cadavers as part of the medical curriculum, we identified a rare unilateral variation in the brachial plexus on the right side of a female body donor. This variation consisted of four unusual changes to the regular pattering of nerve bundles and the dorsal scapular artery permeating the complex neural network. The variation included contributions of root C4 to the plexus by a root C4/C5 anastomosis, a rare fusion of the superior and middle trunks to a ‘superomiddle’ trunk, a preliminary, proximal branching of the suprascapular nerve off the C5 root. We further obs
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Tubbs, R. Shane, Robert G. Louis, Christopher T. Wartmann, et al. "Histopathological basis for neurogenic thoracic outlet syndrome." Journal of Neurosurgery: Spine 8, no. 4 (2008): 347–51. http://dx.doi.org/10.3171/spi/2008/8/4/347.

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Object To the best of the authors' knowledge, no report exists that has demonstrated the histopathological changes of neural elements within the brachial plexus as a result of cervical rib compression. Methods Four hundred seventy-five consecutive human cadavers were evaluated for the presence of cervical ribs. From this cohort, 2 male specimens (0.42%) were identified that harbored cervical ribs. One of the cadavers was found to have bilateral cervical ribs and the other a single right cervical rib. Following gross observations of the brachial plexus and, specifically, the lower trunk and its
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Hrabar, Ivan, and Zdenko Kovačić. "Localization of Mobile Manipulator in Vineyards for Autonomous Task Execution." Machines 11, no. 4 (2023): 414. http://dx.doi.org/10.3390/machines11040414.

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Although robotic systems have found their place in agriculture, there are still many challenges, especially in the area of localization in semi-structured environments. A robotic system has been developed and tested to perform various tasks in the steep vineyards of the Mediterranean region. In this paper, we describe a method for vine trunk localization, based solely on the visual recognition of vine trunks by neural networks fed by an RGB camera. Assuming that the height of the first wire in the vineyard is known, the proposed method is used to determine the location of vines in the immediat
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Dissertations / Theses on the topic "Neural trunks"

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Андрющенко, Володимир Вікторович, Владимир Викторович Андрющенко, Volodymyr Viktorovych Andriushchenko та ін. "Способы устранения дефектов невральных стволов". Thesis, Изд-во СумДУ, 2007. http://essuir.sumdu.edu.ua/handle/123456789/5059.

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De, Mattos Coelho Aguiar Juliana. "Mesenchymal potentials of the trunk neural crest cells." Phd thesis, Université Paris Sud - Paris XI, 2012. http://tel.archives-ouvertes.fr/tel-00982495.

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The neural crest (NC) derives from the dorsal borders of the vertebrate neural tube. During development, the NC cells migrate and contribute to the formation of different tissues and organs. Along the anteroposterior axis, the NC gives rise to neurons and glia of the peripheral nervous system and to melanocytes. Furthermore, the cephalic NC yields mesenchymal tissues, which form all facial cartilages and bones, the large part of skull, facial dermis, fat cells and smooth muscle cells in the head. In the trunk of amniotes Vertebrates, these tissues are derived from the mesoderm, not from the NC
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FURTADO, FELIPE MIANA DE FARIA. "NEURAL NETWORKS FOR PREDICTIVE MAINTENANCE ON OFF-HIGWAY TRUCKS." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2009. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=15673@1.

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CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICO<br>Com o aumento da demanda por minério no mundo, a complexidade, o tamanho e o preço dos equipamentos de extração mineral aumentaram consideravelmente. Como estas máquinas possuem uma tecnologia de monitoramento embarcada no equipamento, a utilização desses dados para o aumento da confiabilidade e da disponibilidade do equipamento tornou-se fundamental, de modo a reduzir os custos de manutenção. O objetivo desta dissertação foi desenvolver um modelo de apoio à decisão de parada de equipamento, baseado na classificação por Redes Neu
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Traver, Michael L. "In-cylinder combustion-based virtual emissions sensing." Morgantown, W. Va. : [West Virginia University Libraries], 1999. http://etd.wvu.edu/templates/showETD.cfm?recnum=459.

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Thesis (Ph. D.)--West Virginia University, 1999.<br>Title from document title page. Document formatted into pages; contains x, 144 p. : ill. (some col.) Includes abstract. Includes bibliographical references (p. 81-84).
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McLennan, Rebecca. "Expression and function of EphA4 and ephrin-As in avian trunk neural crest migration /." free to MU campus, to others for purchase, 2004. http://wwwlib.umi.com/cr/mo/fullcit?p3144440.

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El, Robrini Nicolas. "Etude du rôle de l'acide rétinoïque dans la morphogenèse de la voie efférente cardiaque." Thesis, Aix-Marseille, 2014. http://www.theses.fr/2014AIXM5035.

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L'acide rétinoïque (AR), métabolite actif de la vitamine A, est une molécule qui a une fonction pléiotropique au cours du développement embryonnaire dont l'excès ou le déficit entraine diverses pathologies cardiaques. Les mutants perte de fonction pour l'enzyme de synthèse de l'AR, la rétinaldéhyde déshydrogénase 2 Raldh2), possèdent de multiples défauts cardiaques. Ces embryons meurent vers le neuvième jour de développement mais cette létalité peut être sauvée en ajoutant de l'AR dans la nourriturre des femelles en gestation. Les mutants Raldh2-/- sauvés ont un Tronc Artériel Commun (TAC) qui
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Bremer, Einar. "Prediction of Component Breakdowns in Commercial Trucks : Using Machine Learning on Operational and Repair History Data." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-284139.

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The strive for cost reduction of services and repairs combined with a desire for increased vehicle reliability has led to the development of predictive maintenance programs. In maintenance plans, accurate forecasts and predictions regarding which components in a vehicle is in risk of a breakdown is bene_cial to obtain since this enables components to be predictively exchanged or serviced before they break down and cause unnecessary downtime. Previous works in data driven predictive maintenance models typically utilize customer and operational data to predict component wear trough regressive or
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Voinier, Steven. "Passive Stiffness Characteristics of the Scoliotic Lumbar Torso in Trunk Flexion, Extension, Lateral bending, and Axial Rotation." Thesis, Virginia Tech, 2015. http://hdl.handle.net/10919/52241.

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As the average American age increases, there is a need to study the spine biomechanics of adults with scoliosis. Most studies examining the mechanics of scoliosis have focused on in vitro testing or computer simulations, but in vivo testing of the mechanical response of a scoliotic spine has not yet been reported. The purpose of this study was to quantitatively define the passive stiffness properties of the in vivo scoliotic spine in three principle anatomical motions and identify differences relative to healthy controls. Scoliotic (n=14) and control (n=17) participants with no history of sp
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Arnström, Daniel. "State Estimation for Truck and Trailer Systems using Deep Learning." Thesis, Linköpings universitet, Reglerteknik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-148630.

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High precision control of a truck and trailer system requires accurate and robust state estimation of the system. This thesis work explores the possibility of estimating the states with high accuracy from sensors solely mounted on the truck. The sensors used are a LIDAR sensor, a rear-view camera and a RTK-GNSS receiver. Information about the angles between the truck and the trailer are extracted from LIDAR scans and camera images through deep learning and through model-based approaches. The estimates are fused together with a model of the dynamics of the system in an Extended Kalman Filter to
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Freire, Duarte Vaz. "Forecasting U.S. REIT index prices with artificial neural networks." Master's thesis, Instituto Superior de Economia e Gestão, 2021. http://hdl.handle.net/10400.5/22765.

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Mestrado Bolonha em Mathematical Finance<br>Artificial Neural Networks are innovative mathematical models that have re- cently gathered much attention as a new tool for forecasting in economics and finance. These algorithms are characterized by being able to handle vast amounts of data and solve complex problems, without the assumption of linearity often made by traditional models. This thesis investigates the use of this Machine Learning method for forecast- ing Real Estate Investment Trusts (REIT) prices and their movement. In this experiment, we make use of a 20-year data sample related to fo
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Books on the topic "Neural trunks"

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Armstrong, Bruce K., Claire M. Vajdic, and Anne E. Cust. Melanoma. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780190238667.003.0057.

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Melanoma is a cancer of melanocytes, cells that produce the brown-black skin pigment melanin. Melanocytes originate in cells of the neural crest and migrate during embryogenesis, principally to the epidermis, eyes, and some mucous membranes (mouth, nose, esophagus, anus, genitourinary organs, and conjunctiva). Cutaneous melanoma afflicts mainly fair-skinned people of European origin, among whom sun exposure is the major cause. Five-year relative survival can exceed 90%. Invasive cutaneous melanoma in US whites occurs mostly on the trunk (34%), and upper limbs and shoulders (26%). Melanoma inci
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Rammah, Mayyasa, Francesca Rochais, and Robert G. Kelly. Incorporation of myocardial progenitors at the arterial pole of the heart. Edited by José Maria Pérez-Pomares, Robert G. Kelly, Maurice van den Hoff, et al. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780198757269.003.0007.

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The arterial pole of the heart is a hotspot for life-threatening forms of congenital heart defects (CHDs). It is formed by progressive addition of myocardium from epithelial progenitor cells in the second heart field (SHF). SHF cells contribute successively to the right ventricle and proximal and distal outflow tract myocardial walls which, after neural crest influx and cardiac septation, give rise to myocardium at the base of the aorta and pulmonary trunk. SHF cells are characterized by continued proliferation and differentiation delay controlled by an array of transcriptional regulators and
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Bruce, Steve. Bias in Social Research. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198786580.003.0005.

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It is now commonly argued that objective or value-neutral social science is impossible; that all research is corrupted by the biases and interests of the researcher. This chapter critiques various forms of that position and demonstrates both that the expected sources of bias are too narrow and that there is ample evidence they can be transcended. A social scientific study of religion is possible because researcher interests are often too complex to produce single preferences, because many topics are impervious to interests, because in many cases evidence trumps preferences, and because the com
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Trout, J. D. The Natural Limits of Explanation. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780190686802.003.0003.

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Chapter 3 explores the cognitive and social limits on explanation. Those limitations are defined by the biology of a species, limitations on processing and conceptual range that likely make some truths unknowable by humans. For example, the phenomenon of consciousness may be complex in a way that we could track some of its elaborate neural causes but never have a transparent understanding of its many core causes. But there is another limitation that is imposed by the world: Some problems may in fact be irreducibly mysterious. This chapter explores candidate obstacles to knowledge and understan
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Furtak, Rick Anthony. Attunement and Perspectival Truth. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190492045.003.0007.

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Once we have rejected the notion of a subject-independent objectivity, we lack any basis for assuming that our emotional responses project value onto a neutral world. Love’s vision must give us unique, unequalled access to the sort of truth that it reveals. Each person’s emotional point of view, his or her attunement to the world, makes possible a distinct form of knowledge, revealing a particular truth. Our moods, temperaments, and idiosyncratic affective outlooks must fit into this book’s account of emotions as felt recognitions of significance. Each attunement involves selective attention a
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Hawkes, Christopher H., Kapil D. Sethi, and Thomas R. Swift. Instant Neurological Diagnosis. Oxford University Press, 2019. http://dx.doi.org/10.1093/med/9780190930868.001.0001.

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Experienced neurologists work fast. They ask few questions, maybe perform a brief examination, and they come up with the right answer. Sometimes they do neither and their conclusions are accurate—but how do they do it? This book holds the answers. The book is divided into 14 chapters which, for the most part, focus on a particular neurologic condition, namely: demyelination, headache, epilepsy and sleep, myopathy and motor neuron disorders, movement disorders, stroke, peripheral neuropathy, cerebellar ataxia, and dementia. The remaining chapters are concerned with the clinician’s initial impre
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Hawkes, Christopher H., Kapil D. Sethi, and Thomas R. Swift. Instant Neurological Diagnosis. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780199361953.001.0001.

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Experienced neurologists work fast. They ask few questions, maybe perform a brief examination, and come up with the right answer. Sometimes they do neither and their conclusions are accurate—but how do they do it? Traditionally, the diagnostic process includes pattern recognition and probabilistic, causal, or deterministic methods. The aeronautical expert uses so-called demons—which are essentially memorized diagnostic shortcuts that help to solve problems rapidly. In this text they are called Handles. Another complementary diagnostic process is the use of caveats, or Red Flags, which are nega
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Book chapters on the topic "Neural trunks"

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Wu, Mingyu, Yafei Wang, Yichen Zhang, and Zexing Li. "Physics-Informed Neural Network for Mining Truck Suspension Parameters Identification." In Lecture Notes in Mechanical Engineering. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-70392-8_94.

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AbstractMining truck suspensions are prone to performance degradation under complex external excitation of the mining area, leading to high safety risks and maintenance costs. However, the lack of unsprung kinematic information and harsh operating environments lead to inadequate accuracy of current physical models. On the other hand, data-driven methods partially address the issue of incomplete information, but suffer from the absence of interpretability and generalization. To address these challenges, this paper introduces a Physics-Informed Neural Network (PINN) for precise suspension charac
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Chi, Chuncheng, Hong Yan, Peijun Xie, and Fuxue Li. "Sentence Trunk Fusion for Neural Machine Translation." In Lecture Notes in Computer Science. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-95-0014-7_10.

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Gao, Zhen, Xiaowen Chen, Jingning Xu, Rongjie Yu, and Jiaqi Zong. "A Comprehensive Vision-Based Model for Commercial Truck Driver Fatigue Detection." In Neural Information Processing. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-30111-7_16.

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Archer, D. R., and W. G. McLean. "An Investigation of the Role of Phosphatidyl Ionositol Turnover in the Regenerating Rabbit Peripheral Nerve Trunk." In Neural Development and Regeneration. Springer Berlin Heidelberg, 1988. http://dx.doi.org/10.1007/978-3-642-73148-8_52.

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Sun, Qindong, Xinbo Huang, Xiaohong Guan, and Peng Gao. "An Erotic Image Recognition Algorithm Based on Trunk Model and SVM Classification." In Advances in Neural Networks - ISNN 2006. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11760191_51.

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Koga, Takanori, Keiichi Horio, and Takeshi Yamakawa. "Self-organizing Relationship (SOR) Network with Fuzzy Inference Based Evaluation and Its Application to Trailer-Truck Back-Up Control." In Neural Information Processing. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-30499-9_56.

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Chen, Wenying, Shaoze Yan, Keyun Wang, and Fulei Chu. "A Novel Constrained Genetic Algorithm for the Optimization of Active Bar Placement and Feedback Gains in Intelligent Truss Structures." In Neural Information Processing. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11893295_101.

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Yan, Shaoze, Kai Zheng, and Yangmin Li. "Vibration Suppression of Adaptive Truss Structure Using Fuzzy Neural Network." In Advances in Neural Networks – ISNN 2005. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11427469_24.

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Luo, Youxin, Bin Zeng, and Zheming He. "Hyper-Chaotic Mathematical Programming Method and Its Application to Dodecahedron Variable Geometry Truss Manipulator." In Advances in Neural Networks – ISNN 2009. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-01507-6_116.

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Hamza, Anis, and Noureddine Ben Yahia. "Intelligent Neural Network Control for Active Heavy Truck Suspension." In Advances in Mechanical Engineering and Mechanics. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-19781-0_2.

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Conference papers on the topic "Neural trunks"

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Ren, Jiaping, Jiahao Xiang, Hongfei Gao, et al. "NPC: Neural Predictive Control for Fuel-Efficient Autonomous Trucks." In 2024 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2024. http://dx.doi.org/10.1109/icra57147.2024.10611146.

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Peidong, He. "Research on automatic recognition technology for trucks and pickups based on improved YOLOv7." In Fourth International Conference on Advanced Algorithms and Neural Networks (AANN 2024), edited by Qinghua Lu and Weishan Zhang. SPIE, 2024. http://dx.doi.org/10.1117/12.3049913.

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Ignatyev, Yuriy V., and Gennady I. Afanasyev. "Neural Network Architecture for Scheduling Tank Trucks Loading at Petroleum Products Storages." In 2025 7th International Youth Conference on Radio Electronics, Electrical and Power Engineering (REEPE). IEEE, 2025. https://doi.org/10.1109/reepe63962.2025.10971097.

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Misaka, Shohei, and Takashi Takuma. "Generation of quadruped gait using asymmetric flexible trunk and neural oscillator model." In 2025 9th International Conference on Mechanical Engineering and Robotics Research (ICMERR). IEEE, 2025. https://doi.org/10.1109/icmerr64601.2025.10950009.

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Stops, Laura, Alexander Stary, Johannes Hamacher, et al. "Integrating Thermodynamic Simulation and Surrogate Modeling to Find Optimal Drive Cycle Strategies for Hydrogen-Powered Trucks." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.176475.

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Hydrogen-powered heavy-duty trucks have a high potential to significantly reduce CO2 emissions in the transportation sector. Therefore, efficient hydrogen storage onboard vehicles is a key enabler for sustainable transportation, as achieving high storage densities and extended driving ranges is essential for the competitiveness of hydrogen-powered trucks. Cryo-compressed hydrogen (CcH2), stored at cryogenic temperatures and high pressures, emerges as a promising solution. This study presents a comprehensive dynamic thermodynamic model that is capable of simulating the tank system across all op
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Quyet, Nguyen Huu, Tran Ngoc Hoa, Nguyen Ngoc Lan, and Bui Tien Thanh. "Damage Detection for Truss Bridge Structure Using XGBoost." In The 12th International Conference on Fracture Fatigue and Wear. Trans Tech Publications Ltd, 2025. https://doi.org/10.4028/p-jdc4vd.

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Structural health monitoring (SHM) is a burgeoning area of interest among modern research endeavors, motivated by the application of state-of-the-art machine learning models. During the last few years, many researchers have proposed techniques for the analysis of SHM datasets, particularly those corresponding to sequence data collected from sensors. Following the flow of this research, in this work, we introduce an effective approach utilizing eXtreme Gradient Boosting (XGBoost), a potent ensemble learning framework rooted in gradient boosting for damage detection. A dataset of damage cases fr
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Hoxha, R., A. Olmo, C. Pasquale, R. Sacile, S. Sacone, and E. Zero. "Neural Network-Based Prediction of Import Container Outflows via Trucks: A System-of-Systems Analysis in Port Terminals." In 2024 IEEE 20th International Conference on Automation Science and Engineering (CASE). IEEE, 2024. http://dx.doi.org/10.1109/case59546.2024.10711667.

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Anwar, Qaiser, Muhammad Hanif, Daisuke Shimotoku, and Hill H. Kobayashi. "Advancing Haul Truck Safety: A Deep Neural Network-Based Driver Assistance System for Blind Spot Detection." In 2024 IEEE Smart World Congress (SWC). IEEE, 2024. https://doi.org/10.1109/swc62898.2024.00291.

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Pereira Junior, Antonio Alberto, and Marco Antonio Garcia de Carvalho. "Classification Techniques Applied in Wood Logs Tomographic Image." In Anais Estendidos da Conference on Graphics, Patterns and Images. Sociedade Brasileira de Computação - SBC, 2023. http://dx.doi.org/10.5753/sibgrapi.est.2023.27453.

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The forestry assessment field uses the Non-Destructive Tests (NDTs) to analyze woods logs. To assist the identification of anomalies inside the trunks, the ultrasonic tomography can be used as an alternative. With this technique is possible to evaluate the internal conditions of wooden trunks, through wave propagation applied at specific points. To help the identification and analysis of defects in the tomographic image, this work uses resources from the area of Machine Learning approach in order to identify tomographic images with anomalies. In this study is considered three different classif
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Dewangan, Nagesh, and Amiya Ranjan Mohanty. "Monitoring Mining Dump Truck Operations Using Convolutional Neural Networks." In ASME 2024 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2024. https://doi.org/10.1115/imece2024-141735.

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Abstract Mining dump trucks are heavy-duty equipment often used for tasks such as material transportation. Coal production at mining sites relies heavily on the effective utilization of dump trucks, specifically designed to carry out a range of tasks crucial for the mining industry. Therefore, monitoring dump truck operations plays an important role in maximizing the overall production of any coal mine. Moreover, the complexity of operations performed by dump trucks necessitates effective monitoring and detection using suitable tools. This study focuses on enhancing monitoring tasks by leverag
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Reports on the topic "Neural trunks"

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Yu, Haichao, Haoxiang Li, Honghui Shi, Thomas S. Huang, and Gang Hua. Any-Precision Deep Neural Networks. Web of Open Science, 2020. http://dx.doi.org/10.37686/ejai.v1i1.82.

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We present Any-Precision Deep Neural Networks (Any- Precision DNNs), which are trained with a new method that empowers learned DNNs to be flexible in any numerical precision during inference. The same model in runtime can be flexibly and directly set to different bit-width, by trun- cating the least significant bits, to support dynamic speed and accuracy trade-off. When all layers are set to low- bits, we show that the model achieved accuracy compara- ble to dedicated models trained at the same precision. This nice property facilitates flexible deployment of deep learn- ing models in real-worl
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Ramakrishnan, Aravind, Fangyu Liu, Angeli Jayme, and Imad Al-Qadi. Prediction of Pavement Damage under Truck Platoons Utilizing a Combined Finite Element and Artificial Intelligence Model. Illinois Center for Transportation, 2024. https://doi.org/10.36501/0197-9191/24-030.

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For robust pavement design, accurate damage computation is essential, especially for loading scenarios such as truck platoons. Studies have developed a framework to compute pavement distresses as function of lateral position, spacing, and market-penetration level of truck platoons. The established framework uses a robust 3D pavement model, along with the AASHTOWare Mechanistic–Empirical Pavement Design Guidelines (MEPDG) transfer functions to compute pavement distresses. However, transfer functions include high variability and lack physical significance. Therefore, as an improvement to effecti
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INVERSION METHOD OF UNCERTAIN PARAMETERS FOR TRUSS STRUCTURES BASED ON GRAPH NEURAL NETWORKS. The Hong Kong Institute of Steel Construction, 2023. http://dx.doi.org/10.18057/ijasc.2023.19.4.5.

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Uncertainty exists widely in practical engineering. It is an important challenge in engineering structural analysis. In truss structures, the uncertainties of axial stiffness of bolted joints will significantly affect the mechanical behavior of the structure as the axial load is dominated by the member internal forces. Structural response analysis based on determined structural parameters is a common forward problem that can be solved by modeling analysis methods. However, the uncertainties parameter of axial stiffness of bolted joint cannot be determined during the design and analysis of trus
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