Relevant bibliographies by topics / Navigation behavior patterns

Contents

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

Academic literature on the topic 'Navigation behavior patterns'

Author: Grafiati
Published: 3 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "Navigation behavior patterns"

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Graves, Kathryn N., James W. Antony, and Nicholas B. Turk-Browne. "Finding the Pattern: On-Line Extraction of Spatial Structure During Virtual Navigation." Psychological Science 31, no. 9 (2020): 1183–90. http://dx.doi.org/10.1177/0956797620948828.

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While navigating the world, we pick up on patterns of where things tend to appear. According to theories of memory and studies of animal behavior, knowledge of these patterns emerges gradually over days or weeks via consolidation of individual navigation episodes. Here, we discovered that navigation patterns can also be extracted on-line, prior to the opportunity for off-line consolidation, as a result of rapid statistical learning. Thirty human participants navigated a virtual water maze in which platform locations were drawn from a spatial distribution. Within a single session, participants
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Gamon, Michael, and Arnd König. "Navigation Patterns from and to Social Media." Proceedings of the International AAAI Conference on Web and Social Media 3, no. 1 (2009): 203–6. http://dx.doi.org/10.1609/icwsm.v3i1.13960.

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With the rapid rise of social media content, the question how people navigate to and from social media becomes important in order to understand what new tools and approaches are most beneficial to allow users to discover and interact with this social media data. In this study we analyze session log data to describe navigation patterns involving these sites. Our findings suggest that there are distinct patterns of insular navigation behavior around social media, with blogs being the most transitory in the way users interact with them.
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Issa, John B., Gilad Tocker, Michael E. Hasselmo, James G. Heys, and Daniel A. Dombeck. "Navigating Through Time: A Spatial Navigation Perspective on How the Brain May Encode Time." Annual Review of Neuroscience 43, no. 1 (2020): 73–93. http://dx.doi.org/10.1146/annurev-neuro-101419-011117.

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Interval timing, which operates on timescales of seconds to minutes, is distributed across multiple brain regions and may use distinct circuit mechanisms as compared to millisecond timing and circadian rhythms. However, its study has proven difficult, as timing on this scale is deeply entangled with other behaviors. Several circuit and cellular mechanisms could generate sequential or ramping activity patterns that carry timing information. Here we propose that a productive approach is to draw parallels between interval timing and spatial navigation, where direct analogies can be made between t
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Vesna, Kumbaroska, and Mitrevski Pece. "BRAIN Journal - Exploring User Engagement in Information Networks: Behavioural – based Navigation Modelling, Ideas and Directions." BRAIN - Broad Research in Artificial Intelligence and Neuroscience 7, no. 4 (2016): 93–107. https://doi.org/10.5281/zenodo.1044986.

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ABSTRACT Revealing an endless array of user behaviors in an online environment is a very good indicator of the user’s interests either in the process of browsing or in purchasing. One such behavior is the navigation behavior, so detected user navigation patterns are able to be used for practical purposes such as: improving user engagement, turning most browsers into buyers, personalize content or interface, etc. In this regard, our research represents a connection between navigation modelling and user engagement. A usage of the Generalized Stochastic Petri Nets concept for stochastic behaviora
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Laor, Tal, and Yair Galily. "In WAZE we trust? GPS-based navigation application users’ behavior and patterns of dependency." PLOS ONE 17, no. 11 (2022): e0276449. http://dx.doi.org/10.1371/journal.pone.0276449.

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Functional technological applications have become an integral part of our lives changing our patterns of reasoning and behavior. The current study examines whether, how and why use of WAZE app, a popular GPS-based navigation application, demonstrate behaviors and patterns which resemble those of technological dependency. We conducted semi-structured in-depth interviews with 50 WAZE users. The questions took inspiration from the model of IT addiction, which identifies six behavioral parameters: withdrawal, conflict, mood modification, relapse, tolerance, and saliency. The novelty of the study l
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Ho, Tang Swee, Goh Chok How, Yeong Che Fai, Tey Wei Kang, and Eileen Su Lee Ming. "Vision Recognition on Line Pattern Following Behavior on POB-Bot." Applied Mechanics and Materials 432 (September 2013): 453–57. http://dx.doi.org/10.4028/www.scientific.net/amm.432.453.

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Robust development in the industries had lead to the fast development of the robots and sensors. Mobile robot is able to replace human power for many things due to its low cost and high accuracy. Types of navigation of the mobile robot had been in the research for past decades, the simplest and straight forward method of mobile robot navigation will be line following. Line following basically allows the robot to move along the predefined line. This paper is proposing a novel method of line following for more functions for mobile robot. 12 patterns have been defined to perform different functio
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N.Sanfia, Sehnaz* Dr.I.Elizabeth Shanthi. "MINING OF WEB LOG FILES USING RELEVANT COMPUTING TECHNIQUES FOR IMPROVING FUTURE ANTICIPATION USAGE OF WEB NAVIGATION." INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY 5, no. 5 (2016): 536–41. https://doi.org/10.5281/zenodo.51534.

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The Internet has evolved extensively over the past few decades. Web navigation refers to the process of navigating a network of information resources in the World Wide Web, which is organized as hypertext or hypermedia.  The navigation related to web navigation usability gets solved by comparing the actual and anticipated usage patterns. The actual usage pattern removed from web server logs are sporadically recorded in operational websites for handling the log data. This process is used to identify the users, user session and user task oriented transactions. The pattern can be discovered
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Raissa, Paula, Sérgio Dias, Mark Song, and Luis Zárate. "Minimal implications base for social network analysis." International Journal of Web Information Systems 14, no. 1 (2018): 62–77. http://dx.doi.org/10.1108/ijwis-04-2017-0028.

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Purpose Currently, social network (SN) analysis is focused on the discovery of activity and social relationship patterns. Usually, these relationships are not easily and completely observed. Therefore, it is relevant to discover substructures and potential behavior patterns in SN. Recently, formal concept analysis (FCA) has been applied for this purpose. FCA is a concept analysis theory that identifies concept structures within a data set. The representation of SN patterns through implication rules based on FCA enables the identification of relevant substructures that cannot be easily identifi
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Li, Jinhao. "Intelligent Algorithm Deep Learning Reinforcement Learning Module Integrated into the Navigation System to Enhance the Ability of Navigation to Accurately Serve Users." MATEC Web of Conferences 410 (2025): 04014. https://doi.org/10.1051/matecconf/202541004014.

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In the increasingly competitive automotive industry, the in - car navigation system, a crucial aspect of the user experience, demands greater personalization and intelligence. This research aims to design a navigation system that better caters to users’ needs, thereby enhancing the driving experience and user satisfaction. The research employs a combination of user research, data analysis, and prototype design methods. Initially, the navigation requirements of different user groups are gathered through questionnaire surveys and user interviews. Subsequently, machine - learning algorithms are u
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Gao, Miao, Guoyou Shi, and Shuang Li. "Online Prediction of Ship Behavior with Automatic Identification System Sensor Data Using Bidirectional Long Short-Term Memory Recurrent Neural Network." Sensors 18, no. 12 (2018): 4211. http://dx.doi.org/10.3390/s18124211.

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The real-time prediction of ship behavior plays an important role in navigation and intelligent collision avoidance systems. This study developed an online real-time ship behavior prediction model by constructing a bidirectional long short-term memory recurrent neural network (BI-LSTM-RNN) that is suitable for automatic identification system (AIS) date and time sequential characteristics, and for online parameter adjustment. The bidirectional structure enhanced the relevance between historical and future data, thus improving the prediction accuracy. Through the “forget gate” of the long short-
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Dissertations / Theses on the topic "Navigation behavior patterns"

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Becker, Mélanie. "L’exploration des pages web : de la caractérisation interindividuelle à l’identification de patterns comportementaux." Thesis, Université de Lorraine, 2016. http://www.theses.fr/2016LORR0344/document.

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Une étude de Nielsen (2006), largement citée, indique que les internautes explorent les pages Web suivant un pattern en forme de "F". Ce résultat a amené les concepteurs à organiser les informations d'une page en fonction de ce comportement, même si aucune étude n'a permis de répliquer ces résultats. Bien que les conclusions de cette étude portent sur le comportement visuel, la question des patterns comportementaux permettant de décrire la navigation des internautes se pose de manière plus générale. L'objectif de cette thèse a donc été de déterminer si des patterns pouvaient être mis en lumièr
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Irving, Stephanie [Verfasser], and Andreas [Akademischer Betreuer] Zwergal. "Gaze behaviour and brain activation patterns during real-space navigation in hippocampal dysfunction / Stephanie Irving ; Betreuer: Andreas Zwergal." München : Universitätsbibliothek der Ludwig-Maximilians-Universität, 2019. http://d-nb.info/1198111895/34.

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Mann, Richard Philip. "Prediction of homing pigeon flight paths using Gaussian processes." Thesis, University of Oxford, 2010. http://ora.ox.ac.uk/objects/uuid:bf6c3fb5-5208-4dfe-aa0a-6e6da45c0d87.

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Studies of avian navigation are making increasing use of miniature Global Positioning Satellite devices, to regularly record the position of birds in flight with high spatial and temporal resolution. I suggest a novel approach to analysing the data sets pro- duced in these experiments, focussing on studies of the domesticated homing pigeon (Columba Livia) in the local, familiar area. Using Gaussian processes and Bayesian inference as a mathematical foundation I develop and apply a statistical model to make quantitative predictions of homing pigeon flight paths. Using this model I show that pig
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Rojas, Castro Dalia Marcela. "The RHIZOME architecture : a hybrid neurobehavioral control architecture for autonomous vision-based indoor robot navigation." Thesis, La Rochelle, 2017. http://www.theses.fr/2017LAROS001/document.

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Les travaux décrits dans cette thèse apportent une contribution au problème de la navigation autonome de robots mobiles dans un contexte de vision indoor. Il s’agit de chercher à concilier les avantages des différents paradigmes d’architecture de contrôle et des stratégies de navigation. Ainsi, nous proposons l’architecture RHIZOME (Robotic Hybrid Indoor-Zone Operational ModulE) : une architecture unique de contrôle robotique mettant en synergie ces différentes approches en s’appuyant sur un système neuronal. Les interactions du robot avec son environnement ainsi que les multiples connexions n
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Books on the topic "Navigation behavior patterns"

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Byrne, John H., ed. The Oxford Handbook of Invertebrate Neurobiology. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780190456757.001.0001.

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Invertebrates have proven to be extremely useful models for gaining insights into the neural and molecular mechanisms of sensory processing, motor control, and higher functions, such as feeding behavior, learning and memory, navigation, and social behavior. Their enormous contribution to neuroscience is due, in part, to the relative simplicity of invertebrate nervous systems and, in part, to the large cells found in some invertebrates, like mollusks. Because of the organizms’ cell size, individual neurons can be surgically removed and assayed for expression of membrane channels, levels of seco
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Hassan, Mirza, and Selim Raihan. Navigating the Deals World. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198801641.003.0004.

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This chapter shows how elite political settlements over time have influenced economic growth in Bangladesh. More concretely, the chapter focuses on the analysis of economic, institutional, and political economy conditions behind structural breaks in economic growth, phases of growth acceleration, and transitions in growth regimes in Bangladesh. This involves analysis of the pattern of structural change in the economy, mapping of the rent generation and rent allocations process in different sectors, discussions on the institutional space (i.e. delineation of the nature of formal and informal in
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Book chapters on the topic "Navigation behavior patterns"

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Zhao, Yinqiu, Yongfeng Suo, and Bo Xian. "Ship Encounter Scenario and Maneuvering Behavior Mining Based on AIS Data." In Proceeding of 2021 International Conference on Wireless Communications, Networking and Applications. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-2456-9_7.

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AbstractIn order to gain a deep understanding of the operation of different ships in different time states and understand the geographical distribution of the encounters of ships near Gulei Port and the maneuvering behavior patterns of ships in the port area, this essay is different from the traditional single ship versus multi-target ship research. Through the comprehensive processing and data regulation of Gulei Port AIS (Automatic Identification System) data, the ships with consistent temporal and spatial characteristics are found, and the time and geographical position of the voyage data a
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Bayrak, Fatma, Furkan Aydın, and Halil Yurdugül. "Navigational Behavior Patterns of Learners on Dashboards Based on Assessment Analytics." In Advances in Analytics for Learning and Teaching. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-81222-5_12.

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Deng, Licheng, and Zhicheng Ren. "Research on Interactive Usability Evaluation of Mobile Map Navigation Based on User Behavior Pattern." In Human-Computer Interaction. Design and User Experience. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-49059-1_29.

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Annaki, Ihababdelbasset, Mohammed Rahmoune, Mohammed Bourhaleb, et al. "Joint Unsupervised Deep Temporal Clustering for Modeling Human Behavior in Vestibular Dysfunction: A Study of Navigation Pattern." In Digital Technologies and Applications. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-29860-8_96.

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Go, Ratna Yulika. "User Behavior and Interaction Patterns." In Unveiling Social Dynamics and Community Interaction in the Metaverse. IGI Global, 2025. https://doi.org/10.4018/979-8-3693-8628-6.ch004.

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This study explores user behavior and interaction patterns across digital platforms to understand engagement and responses in online environments. By analyzing data from social media, e-commerce sites, and mobile apps, the research identifies key factors affecting user decisions, such as content relevance, interface design, and social influence. It examines behavioral habits like browsing patterns, click-through rates, and time spent on activities to uncover trends and preferences. Interaction dynamics, including user-to-user communication, feedback mechanisms, and engagement with interactive
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Witherspoon Amy, Azevedo Roger, and Cai Zhiqiang. "Learners' exploratory behavior within MetaTutor." In Frontiers in Artificial Intelligence and Applications. IOS Press, 2009. https://doi.org/10.3233/978-1-60750-028-5-644.

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This study investigated the navigation patterns of 56 learners within a hypermedia learning environment, MetaTutor. Using K-Means cluster analysis, four types of navigational profiles were created. One cluster including participants who navigated primarily linearly through the learning environment, one showed high levels of non-linear progression, one included participants who opened the images very frequently, and the last cluster had a balance of all the navigational variables included in the analysis. Data from the learning measures used indicated that the balanced cluster and the cluster w
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Palomino Arturo and Gibert Karina. "Web Pattern Navigation Profiling for Online Marketing Campaigns Design Support Under a Data Science Approach." In Frontiers in Artificial Intelligence and Applications. IOS Press, 2018. https://doi.org/10.3233/978-1-61499-918-8-166.

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Internet is a huge source of knowledge where people search entertainment and information for several reasons while leaving an invisible blueprint of their preferences, derived from their behavior while navigating and visiting several websites in a specific sequence of domains. This paper proposes a scalable algorithm for discovering the most probable contiguous sequences of domains visited by people from a given socio-demographic profile, of major utility to design marketing campaigns where the advertisement is given in several successive banners. The proposal helps to identify a sequence of w
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Arbib, Michael A. "An action-oriented perspective on space and affordances." In When Brains Meet Buildings. Oxford University Press, 2021. http://dx.doi.org/10.1093/med/9780190060954.003.0002.

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Architects design spaces that offer perceptual cues, affordances, for our various effectivities. Lina Bo Bardi’s São Paulo Museum demonstrates how praxic and contemplative actions are interleaved—space is effective and affective. Navigation often extends beyond wayfinding to support ongoing behavior. Scripts set out the general rules for a particular kind of behavior, and may suggest places that a building must provide. Cognitive maps support wayfinding. Other maps in the brain represent sensory or motor patterns of activity. Juhani Pallasmaa’s reflections on The Thinking Hand lead into a view
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Kumar, Anup, Shivansh Shrivastava, and Aman Raj. "EXPLORING THE IMPACT OF NEWS APPS (KHABAR): DESIGN, FEATURES, AND USER BEHAVIOR IN THE DIGITAL ERA." In Futuristic Trends in Information Technology Volume 3 Book 1. Iterative International Publisher, Selfypage Developers Pvt Ltd, 2024. http://dx.doi.org/10.58532/v3bbit1p2ch3.

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The digital age is not complete without news apps, which give people a simple and individualized method to obtain and consume news material. The design, functionality, and user behavior of news applications are the main topics of this study chapter, which explores their development and influence. A navigation drawer, fragments, a view pager with tab layout, loaders, intents, Guardian API integration, JSON parsing, the Glide image loading library, card view, recycler view, and shared preferences are just a few of the features that are explored in this chapter. According to the project summary,
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Shulman, Shmuel. "Achieving Life Authorship." In A New Lens on Emerging Adulthood. Oxford University PressNew York, 2023. http://dx.doi.org/10.1093/oso/9780190841836.003.0009.

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Abstract This chapter examines how patterns of progress made during emerging adulthood might guide future navigation through life. The chapter focuses on the psychological assets that a young person is supposed to acquire during the emerging adulthood years and that can affect future behavior and outcomes. It has been suggested that the young person is expected to construct a “ladder” on which to climb, as guided by their dreams. Guided by work on narrative identity, the chapter outlines the centrality of establishing an identity and becoming the author of one’s life. Reading the in-depth inte
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Conference papers on the topic "Navigation behavior patterns"

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Verma, Abhishek, and Berenice Mettler. "Analysis of Human Guidance and Perceptual Behavior in Navigation of Unknown Environments." In Vertical Flight Society 72nd Annual Forum & Technology Display. The Vertical Flight Society, 2016. http://dx.doi.org/10.4050/f-0072-2016-11526.

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The human brain is able to generate guidance strategies in unknown environments and improve performance over multiple trials. Such capabilities are challenging to implement in autonomous systems. This research uses a computational framework based on a spatial value function and invariants, described as interaction patterns, in the function to investigate human planning and learning in unknown environments. A simulation system was used for human guidance experiments in a simulated obstacle field unknown to the subjects before the experiments. The system recorded vehicle trajectory, control inpu
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Yilmaz, Hakan, and Pinar Senkul. "Using Ontology and Sequence Information for Extracting Behavior Patterns from Web Navigation Logs." In 2010 IEEE International Conference on Data Mining Workshops (ICDMW). IEEE, 2010. http://dx.doi.org/10.1109/icdmw.2010.44.

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Williams, Evan, Geb Thomas, Steven Long, Donald D. Anderson, and Matthew D. Karam. "DISCOVERING PATTERNS IN ORTHOPEDIC SURGICAL RESIDENT BEHAVIOR DURING A CEPHALOMEDULLARY NAIL PROCEDURE WITH A WIRE NAVIGATION SIMULATOR." In 2023 Design of Medical Devices Conference. American Society of Mechanical Engineers, 2023. http://dx.doi.org/10.1115/dmd2023-4016.

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Abstract Each year there are hundreds of thousands of emergency department visits for hip fractures. Hip fracture repair is a common surgical procedure that residents learn early in their careers. Efficient fluoroscopy use and the precision of fixation can have an important influence on patient outcomes. This study used a wire navigation simulator to assess patterns in behavior between less experienced and experienced surgeons. The hypothesis was that experienced surgeons would have more controlled hand motions, higher accuracy in obtaining an entry point, and use less fluoroscopy than less ex
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Villasenor-Carrillo, U. G., A. Sotomayor-Olmedo, E. Gorrostieta-Hurtado, J. C. Pedraza-Ortega, M. A. Aceves-Fernandez, and M. Delgado-Rosas. "Development of a Navigation System for Mobile Robots Using Different Patterns of Behavior Based on Fuzzy Logic." In 2010 IEEE Electronics, Robotics and Automotive Mechanics Conference (CERMA). IEEE, 2010. http://dx.doi.org/10.1109/cerma.2010.57.

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Alves, Diego Cardoso, and Paula Dornhofer Paro Costa. "Multimodal social scenario perception model for initial human-robot interaction." In XXXII Conference on Graphics, Patterns and Images. Sociedade Brasileira de Computação - SBC, 2019. http://dx.doi.org/10.5753/sibgrapi.est.2019.8309.

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Human-robot interaction imposes many challenges and artificial intelligence researchers are demanded to improve scene perception, social navigation and engagement. Great attention is being dedicated to the development of computer vision and multimodal sensing approaches that are focused on the evolution of social robotic systems and the improvement of social model accuracy. Most recent works related to social robotics rely on the engagement process with a focus on maintaining a previously established conversation. This work brings up the study of initial human-robot interaction contexts, propo
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Tucker, Conrad S., and Sung Woo Kang. "A Bisociative Design Framework for Knowledge Discovery Across Seemingly Unrelated Product Domains." In ASME 2012 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/detc2012-70764.

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The Bisociative Design framework proposed in this work aims to quantify hidden, previously unknown design synergies/insights across seemingly unrelated product domains. Despite the overabundance of data characterizing the digital age, designers still face tremendous challenges in transforming data into knowledge throughout the design processes. Data driven methodologies play a significant role in the product design process ranging from customer preference modeling to detailed engineering design. Existing data driven methodologies employed in the design community generate mathematical models ba
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Xiros, Nikolaos I., and Eleftherios K. Loghis. "Dynamic Modeling and System Identification of a Surface Marine Vehicle for Autonomous Swarm Applications." In ASME 2012 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/imece2012-89404.

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The scale model of a surface marine vehicle with electric propulsion by a dc motor and waterjet is built. The intention is to serve as prototype for dynamic modeling and system identification of a class of vehicles for autonomous swarm applications. A first step towards this end is to develop a mathematical model capable to adequately describe the motion of the vehicle under a variety of conditions. Such model is developed by fusing basic principles with data series obtained through a series of test basin experiments. The aim is to minimize the number and cost of sensors needed in this end, wi
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Xiros, Nikolaos I., and Eleftherios K. Loghis. "System Identification Using Neural Nets for Dynamic Modeling of a Surface Marine Vehicle." In ASME 2014 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/imece2014-38322.

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The scale model of a surface marine vehicle with electric propulsion by a dc motor and waterjet is built. A mathematical model capable to adequately describe the motion of the vehicle under a variety of conditions is developed by fusing basic principles with data series obtained through a series of field experiments. The aim is to minimize the number and cost of sensors needed in this end, without unacceptably compromising accuracy, by employing knowledge of vehicle dynamics in order to form a customized gray-box modeling approach. A set of nonlinear differential equations, used to depict the
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Ramos, R., H. Li, I. Olson, et al. "Design, Fabrication, Simulation, and Initial Testing of an Unmanned Surface Vehicle for Oil Spill Sampling." In Offshore Technology Conference. OTC, 2024. http://dx.doi.org/10.4043/35315-ms.

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Abstract Detection of oil spills with aerial or space-born remote sensing resources has been deeply studied and developed over recent years. However, all these technologies still rely on in-situ verification with direct monitoring and sampling for validation. This paper presents the design, fabrication, simulation, and testing of an unmanned surface vehicle (USV), specifically designed for hydrodynamic efficiency and effective oil spill sampling. The USV's design, featuring a customized platform for the oil sampling mechanism, underwent an extensive simulation process using computational fluid
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Rochwerger, Fennema, Draper, Hanson, and Riseman. "Executing reactive behavior for autonomous navigation." In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition. IEEE Comput. Soc. Press, 1994. http://dx.doi.org/10.1109/cvpr.1994.323909.

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