Relevant bibliographies by topics / Auto-intersections

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

Academic literature on the topic 'Auto-intersections'

Author: Grafiati
Published: 4 June 2021
Last updated: 12 February 2022

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Journal articles on the topic "Auto-intersections"

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Kattari, Shanna K., and Ramona Beltran. "Twice Blessed." Departures in Critical Qualitative Research 8, no. 3 (2019): 8–28. http://dx.doi.org/10.1525/dcqr.2019.8.3.8.

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Auto-archaeology is an emerging form of autoethnography exploring individuals’ artifacts as supporting evidence to interpret experiences explored using autoethnographic methodologies. Using multiple voices, this essay draws upon the data of photos and poetry from my past and lived experiences to interrogate complex intersections of disability, gender, and queerness. This approach contributes to emergent literature examining intersections of queer and disabled identities while using an intersectional lens to examine how privileged identities intersect with Femme/disabled identities. Finally, it considers balancing the ongoing performance of identities with needing to feel recognized, discussing ways to create space for intersections of invisible identities.
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Dooling, David. "The Scoutmaster’s Son." Journal of Autoethnography 2, no. 2 (2021): 194–214. http://dx.doi.org/10.1525/joae.2021.2.2.194.

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Using a blend of auto-archaeological, critical, and queer approaches, I descriptively and performatively articulate the position of my sexual identity when entrenched in the familial and organizational structures of scouting. Throughout this piece, I expose the intersections of father-son turmoil and organizational oppression along with offering defiant modes of queer resistance(s) and becoming(s).
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RAHMAN, Md Mizanur, Izumi OKURA, and Fumihiko NAKAMURA. "EFFECTS OF RICKSHAWS AND AUTO-RICKSHAWS ON THE CAPACITY OF URBAN SIGNALIZED INTERSECTIONS." IATSS Research 28, no. 1 (2004): 26–33. http://dx.doi.org/10.1016/s0386-1112(14)60089-3.

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Xiang, Junping, and Zonghai Chen. "Traffic State Estimation of Signalized Intersections Based on Stacked Denoising Auto-Encoder Model." Wireless Personal Communications 103, no. 1 (2018): 625–38. http://dx.doi.org/10.1007/s11277-018-5466-2.

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Rosenzweig, Sebastian, H. Christian M. Holme, and Martin Uecker. "Simple auto‐calibrated gradient delay estimation from few spokes using Radial Intersections (RING)." Magnetic Resonance in Medicine 81, no. 3 (2018): 1898–906. http://dx.doi.org/10.1002/mrm.27506.

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Wu, Qiang, Jianqing Wu, Jun Shen, Binbin Yong, and Qingguo Zhou. "An Edge Based Multi-Agent Auto Communication Method for Traffic Light Control." Sensors 20, no. 15 (2020): 4291. http://dx.doi.org/10.3390/s20154291.

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With smart city infrastructures growing, the Internet of Things (IoT) has been widely used in the intelligent transportation systems (ITS). The traditional adaptive traffic signal control method based on reinforcement learning (RL) has expanded from one intersection to multiple intersections. In this paper, we propose a multi-agent auto communication (MAAC) algorithm, which is an innovative adaptive global traffic light control method based on multi-agent reinforcement learning (MARL) and an auto communication protocol in edge computing architecture. The MAAC algorithm combines multi-agent auto communication protocol with MARL, allowing an agent to communicate the learned strategies with others for achieving global optimization in traffic signal control. In addition, we present a practicable edge computing architecture for industrial deployment on IoT, considering the limitations of the capabilities of network transmission bandwidth. We demonstrate that our algorithm outperforms other methods over 17% in experiments in a real traffic simulation environment.
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Li, Hongxiang, Ao Feng, Bin Lin, et al. "A novel method for credit scoring based on feature transformation and ensemble model." PeerJ Computer Science 7 (June 4, 2021): e579. http://dx.doi.org/10.7717/peerj-cs.579.

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Credit scoring is a very critical task for banks and other financial institutions, and it has become an important evaluation metric to distinguish potential defaulting users. In this paper, we propose a credit score prediction method based on feature transformation and ensemble model, which is essentially a cascade approach. The feature transformation process consisting of boosting trees (BT) and auto-encoders (AE) is employed to replace manual feature engineering and to solve the data imbalance problem. For the classification process, this paper designs a heterogeneous ensemble model by weighting the factorization machine (FM) and deep neural networks (DNN), which can efficiently extract low-order intersections and high-order intersections. Comprehensive experiments were conducted on two standard datasets and the results demonstrate that the proposed approach outperforms existing credit scoring models in accuracy.
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Leur, Paul de, and Tarek Sayed. "Using claims prediction model for road safety evaluation." Canadian Journal of Civil Engineering 28, no. 5 (2001): 804–12. http://dx.doi.org/10.1139/l01-046.

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Road safety analysis is typically undertaken using traffic collision data. However, the collision data often suffer from quality and reliability problems. These problems can inhibit the ability of road safety engineers to evaluate and analyze road safety performance. An alternate source of data that characterize the events of a traffic collision is the records that become available from an auto insurance claim. In settling an auto insurance claim, a claim adjuster must make an assessment and determination of the circumstances of the event, recording important contributing factors that led to the crash occurrence. As such, there is an opportunity to access and use the claims data in road safety engineering analysis. This paper presents the results of an initial attempt to use auto insurance claims records in road safety evaluation by developing and applying a claim prediction model. The prediction model will provide an estimate of the number of auto insurance claims that can be expected at signalized intersections in the Vancouver area of British Columbia, Canada. A discussion of the usefulness and application of the claim prediction model will be provided together with a recommendation on how the claims data could be utilized in the future.Key words: road safety improvement programs, auto insurance claims, road safety analysis, prediction models.
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Hayes, Patrick. "Lucia Boldrini and Julia Novak, Experiments in Life-Writing: Intersections of Auto/Biography and Fiction." European Journal of Life Writing 7 (June 9, 2018): R27—R31. http://dx.doi.org/10.5463/ejlw.7.272.

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Nilsson, Mikael, Carl Gustafson, Taimoor Abbas, and Fredrik Tufvesson. "A Path Loss and Shadowing Model for Multilink Vehicle-to-Vehicle Channels in Urban Intersections." Sensors 18, no. 12 (2018): 4433. http://dx.doi.org/10.3390/s18124433.

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The non line-of-sight (NLOS) scenario in urban intersections is critical in terms of traffic safety—a scenario where Vehicle-to-Vehicle (V2V) communication really can make a difference by enabling communication and detection of vehicles around building corners. A few NLOS V2V channel models exist in the literature but they all have some form of limitation, and therefore further research is need. In this paper, we present an alternative NLOS path loss model based on analysis from measured V2V communication channels at 5.9 GHz between six vehicles in two urban intersections. We analyze the auto-correlation of the large scale fading process and the influence of the path loss model on this. In cases where a proper model for the path loss and the antenna pattern is included, the de-correlation distance for the auto-correlation is as low as 2–4 m, and the cross-correlation for the large scale fading between different links can be neglected. Otherwise, the de-correlation distance has to be much longer and the cross-correlation between the different communication links needs to be considered separately, causing the computational complexity to be unnecessarily large. With these findings, we stress that vehicular ad-hoc network (VANET) simulations should be based on the current geometry, i.e., a proper path loss model should be applied depending on whether the V2V communication is blocked or not by other vehicles or buildings.
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Dissertations / Theses on the topic "Auto-intersections"

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Laurent, Clément. "Grandes déviations pour les temps locaux d'auto-intersections de marches aléatoires." Phd thesis, Université de Provence - Aix-Marseille I, 2011. http://tel.archives-ouvertes.fr/tel-00645783.

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Dans cette thèse on s'intéresse au temps local d'auto-intersections de marches aléatoires. Cette quantité est définie comme la norme-$p$ à la puissance $p$ du temps local de la marche. Elle regarde dans quelle mesure la trajectoire de la marche aléatoire s'intersecte. Le temps local d'auto-intersections est lié à différents modèles physiques comme les modèles de polymères ou les problèmes d'écoulements de flux en milieux stratifiés mais aussi au modèle mathématiques des marches aléatoires en paysages aléatoires. Nous nous sommes pour notre part intéressés en particulier aux grandes déviations du temps local d'auto-intersections, c'est à dire que nous regardons la probabilité que la quantité d'intersections de la marche aléatoire soit plus grande que sa moyenne. Cette question qui a été très étudiée au cours des années 2000 fait apparaitre trois cas distincts, le cas sous-critique, le cas critique et le cas sur-critique. Nous améliorons la connaissance sur cette question au travers de deux résultats complets et d'un résultat partiel. D'abord nous prouvons un principe de grandes déviations dans les cas critique et sur-critique des marches $\alpha$-stables, puis nous améliorons les échelles de déviations au cas sous-critique tout entier de la marche simple, enfin nous sommes en train d'étendre ce dernier résultat aux marches $\alpha$-stables. Par ailleurs les trois preuves sont basées sur l'utilisation d'une version due à Eisenbaum d'un théorème d'isomorphisme de Dynkin. Cette méthode d'abord introduite par Castell dans le cas critique est donc ici étendue aux autres cas. Nous avons donc réussi à unifier les différentes méthodes de preuves au travers ce théorème d'isomorphisme.
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Books on the topic "Auto-intersections"

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Boldrini, Lucia, and Julia Novak. Experiments in Life-Writing: Intersections of Auto/Biography and Fiction. Palgrave Macmillan, 2019.

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Book chapters on the topic "Auto-intersections"

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Kempe, André, Jean-Marc Champarnaud, Jason Eisner, Franck Guingne, and Florent Nicart. "A Class of Rational n-WFSM Auto-intersections." In Implementation and Application of Automata. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11605157_16.

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Cullen, Fin, John Barker, and Pam Alldred. "‘Trying to Keep Up’: Intersections of Identity, Space, Time and Rhythm in Women Student Carer Auto/Biographical Accounts." In The Palgrave Handbook of Auto/Biography. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-31974-8_11.

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Scodari, Christine. "Tubular Genealogy I." In Alternate Roots. University Press of Mississippi, 2018. http://dx.doi.org/10.14325/mississippi/9781496817785.003.0003.

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The third chapter interprets discourses of post-identity, race/ethnicity, and intersections with gender and class in terms of salient issues and historical contexts such as slavery, Jim Crow, internment, and similar circumstances represented in 21<sup>st</sup> century family history TV and its reception. Reception is analyzed via ethnographic (including virtual-ethnographic) investigation. The chapter incorporates auto-ethnographic experiences and insights with regard to the processes, tools, and outcomes of genealogical practices, considering their bearing on the investigation’s critical trajectory, as well as the implications of racial, ethnic, and intersected modalities of identity as inferred from genealogical documents.
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Scodari, Christine. "Loose Ends, Conclusions, and Critical Trajectories." In Alternate Roots. University Press of Mississippi, 2018. http://dx.doi.org/10.14325/mississippi/9781496817785.003.0007.

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The seventh chapter melds findings from throughout the study with over-arching auto-ethnographic insights. It dissects and contextualizes in terms of the issues and theoretical framework of the study collected genealogical information and mementos such as family photographs. The author attempts to envision and narrate a cultural moment in her grandmother’s immigrant family and the lives and identity-intersected experiences of her four Italian great-grandmothers according to general and, to the extent possible, particular knowledge, pivoting between details known and unknown. The chapter presents its resolutions concerning digital/social/convergent media and suggests amendments to existing theory. It examines the volume’s relatively unexplored issues such as LGBT identities and intersections, adoption and other forms of family building that might be racially transgressive, and wrong turns and unexpected or sensitive revelations. It also contemplates and recommends study of genealogy media and culture in international contexts.
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Jaguścik, Justyna. "INTERSECTIONS OF GENDER, CLASS AND ENVIRONMENTAL CONCERN IN CONTEMPORARY CHINESE POETRY: ZHENG XIAOQIONG AND HER WRITING FROM BELOW." In Kobieta w oczach kobiet. Kobiece (auto)narracje w perspektywie transkulturowej. Warsaw University Press, 2019. http://dx.doi.org/10.31338/uw.9788323541905.pp.244-254.

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Journal articles
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