Relevant bibliographies by topics / Internet Quantique

Contents

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

Academic literature on the topic 'Internet Quantique'

Author: Grafiati
Published: 25 May 2024
Last updated: 31 July 2025

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Journal articles on the topic "Internet Quantique"

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Guo, Zenghua, and Boyu Zhu. "Does Mobile Internet Use Affect the Loneliness of Older Chinese Adults? An Instrumental Variable Quantile Analysis." International Journal of Environmental Research and Public Health 19, no. 9 (2022): 5575. http://dx.doi.org/10.3390/ijerph19095575.

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Based on the 2018 China Family Panel Studies (CFPS) data, we empirically analyze the effect, heterogeneity, quantile differences and influencing mechanisms of mobile Internet use on loneliness in the elderly. The study found that the loneliness of the elderly who used mobile Internet was 33.1% lower than that of the elderly who did not use the mobile Internet The study also passed the robustness test. There is heterogeneity in the effect of mobile Internet use on loneliness among the elderly of different ages, educational levels and marital status. Among them, the use of mobile Internet has a
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Zhan, Yunqiu, and Shuwen Yang. "Does internet use improve employment?——Empirical evidence from China." PLOS ONE 19, no. 4 (2024): e0301465. http://dx.doi.org/10.1371/journal.pone.0301465.

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Achieving comprehensive and high-quality employment is essential to achieving new levels of people’s well-being. The advancement of Internet technology not only affect the massiveness of employment, but also the quality of that. On the basis of constructing an employment quality evaluation index system, this article uses CLDS (China Labor-force Dynamics Survey) data to explore the impact of Internet use on the employment quality of workers and its underlying mechanisms. The results reveal that Internet use has a significant positive impact on improving the employment quality of workers. As the
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Choi, Baek-Young, Sue Moon, Rene Cruz, Zhi-Li Zhang, and Christophe Diot. "Quantile sampling for practical delay monitoring in Internet backbone networks." Computer Networks 51, no. 10 (2007): 2701–16. http://dx.doi.org/10.1016/j.comnet.2006.11.023.

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Parwodiwiyono, Suparna. "Kaitan Akses Internet dan Penyelesaian Tugas Sekolah Berdasarkan Regresi Kuantil Menuju Masyarakat 5.0." JARTIKA Jurnal Riset Teknologi dan Inovasi Pendidikan 3, no. 2 (2020): 342–50. http://dx.doi.org/10.36765/jartika.v3i2.283.

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Abstrak: Bagi generasi pasca milenial penggunaan internet sangat akrab tetapi dengan berbagai tujuan penggunaan. Penelitian ini ingin melihat keterkaitan penggunaan internet oleh penduduk yang sedang sekolah untuk kepentingan penyelesaian tugas sekolah di Indonesia untuk mendapatkan hasil belajar yang baik. Analisis berdasarkan data sekunder dari Survei Sosial Ekonomi Nasional tahun 2018. Hanya saja data yang didapatkan tidak simetris dengan adanya pencilan. Regresi kuantil digunakan untuk meminimumkan pengaruh dari pencilan yang ada. Penelitian mendapatkan hasil bahwa terdapat kaitan yang era
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Long, Cuihong, Jiajun Han, and Chengzhi Yi. "Does the Effect of Internet Use on Chinese Citizens’ Psychological Well-Being Differ Based on Their Hukou Category?" International Journal of Environmental Research and Public Health 17, no. 18 (2020): 6680. http://dx.doi.org/10.3390/ijerph17186680.

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This paper draws support from the 2018 wave of the China Family Panel Studies (CFPS 2018) and uses unconditional quantile regression, re-centered influence function (RIF) decomposition, linear structural equation modelling, extended regression modelling and censored regression to explore the heterogeneity of the impact of Internet use on the psychological well-being of Chinese non-agricultural and agricultural hukou holders. We find that Internet use better improves the psychological well-being of non-agricultural hukou holders, thereby widening the gap in psychological well-being between urba
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Rolland, G. "Etude des variations de rendement quantique interne d'un détecteur CCD en fonction de la temperature." Revue de Physique Appliquée 20, no. 9 (1985): 651–59. http://dx.doi.org/10.1051/rphysap:01985002009065100.

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Gao, Jiacheng, and Yue Liu. "Internet technology usage and female employment: Evidence from a Chinese general social survey." Economics and Finance Letters 10, no. 1 (2023): 57–68. http://dx.doi.org/10.18488/29.v10i1.3287.

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This study empirically analyzes the effect of internet technology usage on female employment and their wage income by constructing logit and quantile regression models to examine the moderating effect of years of education. The results show that internet technology usage significantly suppresses the likelihood of female employment and reduces their wage income before their years of education reach the target requirement but has a differential effect on the wage income of females at different levels. After females have reached their years of education target, internet technology usage significa
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Lohr, Luanne, and Timothy Park. "Demand for Private Marketing Expertise by Organic Farmers: A Quantile Analysis Based on Counts." Journal of Agricultural and Applied Economics 44, no. 2 (2012): 157–71. http://dx.doi.org/10.1017/s1074070800000249.

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We study the demand by organic farmers for technical advice using a quantile regression for the demand of organic farmers for consultations with private information providers. There is substantial heterogeneity in the impact of critical explanatory variables on consultations of organic farmer. Larger farm size has a positive effect on contacts, but the effect is absent for the highest number of consultations. Internet use has a positive marginal effect on visits to private information providers across each quantile, suggesting that expanded efforts to deliver programs through web-based resourc
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Antoine, Jean-Pierre. "Symétries en physique." Revue des questions scientifiques 190, no. 1-2 (2019): 7–26. http://dx.doi.org/10.14428/qs.v190i1-2.69423.

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Cet article passe en revue les multiples applications de la théorie des groupes aux problèmes de symétrie en physique. En physique classique, il s’agit surtout de la relativité : euclidienne, galiléenne, einsteinienne (relativité restreinte). Passant à la mécanique quantique, on remarque d’abord que les principes de base impliquent que l’espace des états d’un système quantique a une structure intrinsèque d’espace préhilbertien, que l’on complète ensuite en un espace de Hilbert. Dans ce contexte, la description de l’invariance sous un groupe G se base sur une représentation unitaire de G. On pa
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Rastogi, Krati, and Divya Lohani. "Edge Computing-Based Internet of Things Framework for Indoor Occupancy Estimation." International Journal of Ambient Computing and Intelligence 11, no. 4 (2020): 16–37. http://dx.doi.org/10.4018/ijaci.2020100102.

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Indoor occupancy estimation has become an important area of research in the recent past. Information about the number of people entering or leaving a building is useful in estimation of hourly sales, dynamic seat allocation, building climate control, etc. This work proposes a decentralized edge computing-based IoT framework in which the majority of the data analytics is performed on the edge, thus saving a lot of time and network bandwidth. For occupancy estimation, relative humidity and carbon dioxide concentration are used as inputs, and estimation models are developed using multiple linear
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Dissertations / Theses on the topic "Internet Quantique"

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Yehia, Raja. "Design and Optimization of Tools for the Quantum Internet." Electronic Thesis or Diss., Sorbonne université, 2022. https://accesdistant.sorbonne-universite.fr/login?url=https://theses-intra.sorbonne-universite.fr/2022SORUS288.pdf.

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Cette thèse s’inscrit dans l’effort international pour construire des réseaux quantiques utilisables par tous. Nous essayons de souligner les problématiques importantes ainsi que les paramètres expérimentaux pouvant être bloquants. Nous explorons différents aspects des réseaux quantiques en vue d’aider la communauté internationale à construire l’Internet quantique. Après avoir introduit certaines notions de base d’informatique quantique pour la compréhension de la suite, nous définissons l’Internet quantique, dégageons les principales problématiques et enjeux. Puis, nous nous penchons sur une
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Sellami, Youssef. "Secure data management in an IoT-Fog/Edge computing architecture." Electronic Thesis or Diss., Valenciennes, Université Polytechnique Hauts-de-France, 2024. https://ged.uphf.fr/nuxeo/site/esupversions/14bb8a1d-7fbb-4d10-a7e7-99650617c232.

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L'internet des objets vise à intégrer les mondes physique et numérique dans un écosystème unique en interconnectant un grand nombre d'objets intelligents (capteurs, smartphones, véhicules autonomes, etc.) à l'internet. Cependant, la quantité massive de données est l'une des conséquences inévitables de la croissance du nombre d'objets connectés. L'évolution de l'IoT et de ses applications dans les années à venir (industrie 4.0, villes intelligentes) nécessite une gestion des données adaptée aux capacités limitées des objets connectés. De nouveaux paradigmes de traitement et de communication, te
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Saget, Guillaume. "Interactions et résonances dans les systèmes quantiques." Thesis, Bourgogne Franche-Comté, 2017. http://www.theses.fr/2017UBFCK024/document.

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Cette thèse traite des interactions et résonances dans les systèmes quantiques et se subdivise en trois sous-thématiques. Dans les premiers chapitres, nous proposons, dans le cadre de la limite locale, une méthode systématique de construction d'un hamiltonien vibrationnel mis sous forme normale pour des systèmes moléculaires à n degrés de liberté fortement excités, à partir des générateurs d'une algèbre de Lie, l'algèbre des polynômes invariants construite en mécanique classique à partir du noyau de l'opérateur adjoint adH0 . Puis, nous exposons les méthodes de construction en l'absence et en
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Lallouche, Mickaël. "Théories des champs quantiques topologiques internes de type Reshetikhin-Turaev." Thesis, Montpellier, 2016. http://www.theses.fr/2016MONTS015/document.

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Une théorie des champs quantique topologique (TQFT) en dimension 3 est un foncteur monoidal symétrique de la catégorie des cobordismes de dimension 3 vers celle des espaces vectoriels. Une TQFT fournit en particulier un invariant scalaire des variétés fermées de dimension 3 ainsi que des représentations du groupe de difféotopie des surfaces fermées.Turaev explique en 1994 comment construire à partir d'une catégorie modulaire une TQFT qui étend l'invariant scalaire de 3-variétés fermées introduit en 1991 par Reshetikhin et Turaev. Dans cette thèse, nous généralisons cette construction à l'aide
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Founta, Sébastien. "Croissance d'hétérostructures GAN/AIN à champ électrique interne réduit." Grenoble 1, 2007. http://www.theses.fr/2007GRE10070.

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Ce travail a porté sur l'étude de la Croissance et des propnétés optiques d'hétérostructures GaN/AIN à champ électrique interne réduit déposées sur SiC. Nous avons d'abord étudié les propriétés de couches d'AIN et de GaN déposées sur SiC plan a. L'AIN présente une morphologie de surface anisotrope, que l'on a reliée à l'anisotropie de désaccord de maille avec le substrat. Alors que le GaN développe une rugosité isotrope. Dans les deux cas, la qualité de surface est optimale en conditions d'excès d'azote, à l'inverse de l'orientation (0001). La croissance du GaN sur l'AIN en conditions d'excès
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Müller, Cord Axel. "Localisation faible de la lumière dans un gaz d'atomes froids : rétrodiffusion cohérente et structure quantique interne." Nice, 2001. http://www.theses.fr/2001NICE5634.

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Des résultats récents de rétrodiffusion cohérente (CBS) de la lumière sur un nuage d'atomes froids ont montre que le contraste d'interférence est fortement réduit par rapport aux milieux désordonnés classiques. Dans le présent travail théorique, nous étudions l'impact de la dégénérescence de la transition dipolaire atomique sur la localisation faible de la lumière. Les composantes non-scalaires du tenseur de diffusion atomique, caractéristiques de la structure interne, modifient la diffusion multiple de la lumière. Une analyse systématique en termes de tenseurs irréductibles permet d'obtenir d
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Ley, Marc. "Cellule photovoltai͏̈que MIND-amélioration du rendement quantique interne à l'aide d'une sous-structure active enterrée dans l'émetteur." Université Louis Pasteur (Strasbourg) (1971-2008), 2002. http://www.theses.fr/2002STR13212.

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Les cellules photovoltai͏̈ques offrent une source d'énergie propre et inépuisable pour le future sous condition de percées par rapport aux performances des dispositifs d'aujourd'hui. Dans ce travail, nous nous concentrons sur des aspects pouvant propulser le rendement de la conversion photovoltai͏̈que au-delà des limites actuelles afin de la rendre compétitive aux sources d'énergie conventionnelles. La première partie est consacrée aux nouveaux concepts théoriques regroupées sous la désignation de 3ème génération des cellules solaires. Nous examinons l'utilisation d'une bande d'énergie intermé
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Edwards, Paul. "Quantile hedging interest rate derivatives using the Libor market model." Thesis, Imperial College London, 2005. http://hdl.handle.net/10044/1/11361.

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Fuchs, Jean-Noël. "Contribution à la mécanique statistique quantique des gaz froids." Phd thesis, Université Pierre et Marie Curie - Paris VI, 2003. http://tel.archives-ouvertes.fr/tel-00002960.

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Cette thèse présente un certain nombre de résultats sur la mécanique statistique des gaz froids. La première partie concerne essentiellement les gaz peu dégénérés de fermions ou de bosons avec un spin (ou un pseudo-spin) 1/2. Nous écrivons une équation cinétique pour un tel gaz et nous en servons pour étudier les propriétés de transport de spin, notamment les ondes de spin et l'instabilité de Castaing dans un piège. En utilisant une approche hydrodynamique, nous calculons également les modes collectifs d'oscillation d'un gaz de Bose unidimensionnel dans un piège à température nulle. Dans une d
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Martins, Costa Marilia Teresa Cadillon. "Chimiste : un ensemble de logiciels de modélisation moléculaire quantique." Nancy 1, 1988. http://www.theses.fr/1988NAN10183.

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Amélioration de la performance des méthodes semi-empiriques en étudiant les différentes possibilités d'accélération de convergence des méthodes SCF et la prise en compte de la symétrie moléculaire. Pour les vibrations moléculaires, l'étude théorique est basée sur un calcul analytique de la matrice des constantes de force, les modes normaux de vibration pouvant être exprimés en coordonnées internes ou en coordonnées de symétrie et représentés graphiquement selon les conventions usuelles. Réalisation d'un logiciel de localisation d'orbitales par les méthodes de ruedenberg et de boys, et d'un log
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Books on the topic "Internet Quantique"

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Schrödinger's Web: Race to Build the Quantum Internet. Taylor & Francis Group, 2020.

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Dowling, Jonathan P. Schrödinger's Web: Race to Build the Quantum Internet. Taylor & Francis Group, 2020.

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Dowling, Jonathan P. Schrödinger's Web: Race to Build the Quantum Internet. Taylor & Francis Group, 2020.

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Dowling, Jonathan P. Schrödinger's Web: Race to Build the Quantum Internet. Taylor & Francis Group, 2020.

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Dowling, Jonathan P. Schrödinger's Web: Race to Build the Quantum Internet. Taylor & Francis Group, 2020.

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Dowling, Jonathan P. Schrödinger's Web: Race to Build the Quantum Internet. Taylor & Francis Group, 2020.

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Singh, Simon. Codici & segreti. La storia affascinante dei messaggi cifrati dall'antico Egitto a Internet. BUR Biblioteca Univ. Rizzoli, 2001.

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Singh, Simon. Geheime Botschaften: Die Kunst der Verschlüsselung von der Antike bis in die Zeiten des Internet. Dtv, 2001.

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Book chapters on the topic "Internet Quantique"

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Cleophas, Ton J., and Aeilko H. Zwinderman. "Intercept only Poisson Regression Versus Quantile." In Quantile Regression in Clinical Research. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-82840-0_10.

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Choi, Baek-Young, Zhi-Li Zhang, and David Hung-Chang Du. "Quantile Sampling for Practical Delay Monitoring in Internet Backbone Networks." In Scalable Network Monitoring in High Speed Networks. Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4614-0119-3_5.

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Sun, Xiaohan. "Using the Quantile Regression Model to Study the Impact of My Country’s Big Data, Artificial Intelligence and Blockchain on the Real Economy." In Proceedings of the 2022 3rd International Conference on E-commerce and Internet Technology (ECIT 2022). Atlantis Press International BV, 2022. http://dx.doi.org/10.2991/978-94-6463-005-3_54.

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Cheng, Hao. "Establishment of Comprehensive Evaluation Indicators in Globalized National Image Using Quantile-Type Statistical Methods." In Frontiers in Artificial Intelligence and Applications. IOS Press, 2023. http://dx.doi.org/10.3233/faia230039.

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National image is a comprehensive reflection of a country’s performance on international stage and could be affected by an enormous amount of factors. To evaluate national image, the paper screens key variables using lasso penalized quantile regression first and then proposes a comprehensive evaluation indicator and modified partial least square algorithms based on the quantile-based third-order latent variable model. After data processing procedure, we choose 223 indicators and 61 economies from International Institute for Management Development World Competitiveness Yearbook. All 223 indicat
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Rastogi, Krati, and Divya Lohani. "Edge Computing-Based Internet of Things Framework for Indoor Occupancy Estimation." In Research Anthology on Edge Computing Protocols, Applications, and Integration. IGI Global, 2022. http://dx.doi.org/10.4018/978-1-6684-5700-9.ch031.

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Indoor occupancy estimation has become an important area of research in the recent past. Information about the number of people entering or leaving a building is useful in estimation of hourly sales, dynamic seat allocation, building climate control, etc. This work proposes a decentralized edge computing-based IoT framework in which the majority of the data analytics is performed on the edge, thus saving a lot of time and network bandwidth. For occupancy estimation, relative humidity and carbon dioxide concentration are used as inputs, and estimation models are developed using multiple linear
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Iliopoulos, J., and T. N. Tomaras. "Gauge Interactions." In Elementary Particle Physics. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780192844200.003.0013.

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The principle of gauge symmetry is introduced as a consequence of the invariance of the equations of motion under local transformations. We apply it to Abelian, as well as non-Abelian, internal symmetry groups. We derive in this way the Lagrangian of quantum electrodynamics and that of Yang–Mills theories. We quantise the latter using the path integral method and show the need for unphysical Faddeev–Popov ghost fields. We exhibit the geometric properties of the theory by formulating it on a discrete space-time lattice. We show that matter fields live on lattice sites and gauge fields on orient
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Xu, Xiong. "The Paradox of Crowd Wisdom." In Advances in Marketing, Customer Relationship Management, and E-Services. IGI Global, 2024. https://doi.org/10.4018/979-8-3693-7827-4.ch011.

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The notion of “wisdom of crowds” postulates that collective decision-making often outperforms individual judgements. However, in financial markets, this collective intelligence can falter, leading to inefficiencies and anomalies. This study investigates the factors contributing to the failure of collective intelligence in financial markets, specifically examining information cascades, cognitive biases, market sentiment, herding behaviour, and market performance. Using the Adaptive Market Hypothesis (AMH) as a theoretical framework, the research explores how these factors interact and impact ma
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Fan, Chenyou, Hengyang Lu, and Aimin Huang. "A Novel Differentiable Rank Learning Method Towards Stock Movement Quantile Forecasting." In Frontiers in Artificial Intelligence and Applications. IOS Press, 2023. http://dx.doi.org/10.3233/faia230328.

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We focus on Stock Movement Forecasting (SMF) using AI techniques to develop modern automated trading systems. Previous studies with deep-learning-based methodology have only considered binary up-or-down trends, ignoring the importance of fine-grained categorization of the stock movements to facilitate decision-making. However, the challenges of SMF arise from the randomness of the global market impacting cross-sectional stocks and the volatility of internal dynamics in each time series. To address these challenges, we present a novel end-to-end learning-to-rank framework that incorporates both
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de Waal D.J. "Posterior predictions on river discharges." In Risk and Decision Analysis in Maintenance Optimization and Flood Management. IOS Press, 2009. https://doi.org/10.3233/978-1-60750-522-8-43.

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The late Jan van Noortwijk (JvN) made valuable contributions in many areas such as Reliability, Risk management, Maintenance modelling, Applications to Decision theory and more. His contributions to model river discharges for flood prevention (van Noortwijk et al., [1, 2] and others) are of interest to forecast river stream flow. The posterior predictive densities for several distributions, which can be considered as candidates to model river discharges, were derived using Jeffreys prior. The Jeffreys prior was derived for these distributions by careful algebraic derivations of the Fisher info
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Squartini Stefano, Fagiani Marco, Principi Emanuele, and Piazza Francesco. "Multichannel Cepstral Domain Feature Warping for Robust Speech Recognition." In Frontiers in Artificial Intelligence and Applications. IOS Press, 2011. https://doi.org/10.3233/978-1-60750-692-8-284.

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Speech interfaced Human-Machine interfaces have been gaining an increasing interest among the scientific community and technology market. One of the key task to be faced within this architectures is speech recognition, for which a certain degree of understanding has been already reached in the literature. Several efforts have been oriented on purpose to take the presence of acoustic non-idealities, i.e. noise and acoustic reverberation, into account. Feature warping in cepstral domain is one of the most performing approaches: different techniques have been proposed so far and some of them are
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Conference papers on the topic "Internet Quantique"

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Fu, Manxia, and Shuisheng Zhou. "Fused Lasso Additive Quantile Regression." In 2023 International Conference on Computer, Internet of Things and Smart City (CIoTSC). IEEE, 2023. http://dx.doi.org/10.1109/ciotsc60428.2023.00040.

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Zhou, Yangjun, and Shuo Liang. "LSTM Based Quantile Regression Method for Holiday Load Forecasting." In 2020 IEEE 4th Conference on Energy Internet and Energy System Integration (EI2). IEEE, 2020. http://dx.doi.org/10.1109/ei250167.2020.9347306.

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Zhou, Xiao, Kang Gong, Changdong Zhu, Jing Hua, and Zhigao Xu. "Optimal Energy Management Strategy Considering Forecast Uncertainty Based on LSTM-Quantile Regression." In 2020 IEEE 4th Conference on Energy Internet and Energy System Integration (EI2). IEEE, 2020. http://dx.doi.org/10.1109/ei250167.2020.9347295.

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Wang, Xia, and Xinyu Wang. "A Study on Characteristics of China Open-End Fund Flow Changes Based on Quantile Regression." In 2010 International Conference on Internet Technology and Applications (iTAP 2010). IEEE, 2010. http://dx.doi.org/10.1109/itapp.2010.5566090.

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Fan, Hengguang, Xiaoqing Han, Kejiang Li, and Tianhao Song. "Electricity Price Prediction Based on Empirical Mode Decomposition and Minimum Gated Memory Network Quantile Regression." In 2021 IEEE 5th Conference on Energy Internet and Energy System Integration (EI2). IEEE, 2021. http://dx.doi.org/10.1109/ei252483.2021.9712879.

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Ruolin, Cao, Wang Ke, and Wu Feng. "Research on the Probability Prediction Method of Electricity Price Response Load based on CNNLSTM and Quantile Regression Fusion." In 2023 IEEE 7th Conference on Energy Internet and Energy System Integration (EI2). IEEE, 2023. http://dx.doi.org/10.1109/ei259745.2023.10513066.

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Zhang, Liang. "Degrees of Return: Estimating Internal Rates of Return for College Majors Using Quantile Regression." In 2024 AERA Annual Meeting. AERA, 2024. http://dx.doi.org/10.3102/2111784.

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Capuano, Paolo. "The influence of corporate governance on environmental, social, and government disclosure: Empirical evidence on the European Union banking industry." In Corporate governance: Research and advanced practices. Virtus Interpress, 2024. http://dx.doi.org/10.22495/cgrapp11.

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This study evaluates the impact of corporate governance on environmental, social, and governance (ESG) disclosure in the banking industry. This aspect has been little investigated in the business literature and there are even fewer empirical studies on the European Union (EU) banks. The analysis methodology is based on an empirical analysis, using a dynamic generalized method of moments and quantile regression analysis, on a large sample of EU banks over the period 2014–2023. The first results highlight that some governance variables are factors that positively influence the overall levels of
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Liu, Hong, Zhun Zhong, Nicu Sebe, and Shin'ichi Satoh. "Mitigating robust overfitting via self-residual-calibration regularization (Abstract Reprint)." 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.2024/954.

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Overfitting in adversarial training has attracted the interest of researchers in the community of artificial intelligence and machine learning in recent years. To address this issue, in this paper we begin by evaluating the defense performances of several calibration methods on various robust models. Our analysis and experiments reveal two intriguing properties: 1) a well-calibrated robust model is decreasing the confidence of robust model; 2) there is a trade-off between the confidences of natural and adversarial images. These new properties offer a straightforward insight into designing a si
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Lai, Qiuxia, Yu Li, Ailing Zeng, Minhao Liu, Hanqiu Sun, and Qiang Xu. "Information Bottleneck Approach to Spatial Attention Learning." 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.2021/108.

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The selective visual attention mechanism in the human visual system (HVS) restricts the amount of information to reach visual awareness for perceiving natural scenes, allowing near real-time information processing with limited computational capacity. This kind of selectivity acts as an ‘Information Bottleneck (IB)’, which seeks a trade-off between information compression and predictive accuracy. However, such information constraints are rarely explored in the attention mechanism for deep neural networks (DNNs). In this paper, we propose an IB-inspired spatial attention module for DNN structure
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Reports on the topic "Internet Quantique"

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Fritsch, Nicholas. Tail Sensitivity of US Bank Net Interest Margins: A Bayesian Penalized Quantile Regression Approach. Federal Reserve Bank of Cleveland, 2025. https://doi.org/10.26509/frbc-wp-202509.

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Bank net interest margins (NIM) have been historically stable in the US on average, but this stability deteriorated in the post-2020 period, particularly in the tails of the distribution. Recent literature disagrees on the extent to which banks hedge interest rate risk, and past literature shows that credit risk and persistence are also important considerations for bank NIM. I use a novel approach to Bayesian dynamic panel quantile regression to document heterogeneity in US bank NIM estimated sensitivities to interest rates, credit risk, and own persistence. I find increased sensitivity to int
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2

Cattaneo, Matias D., Richard K. Crump, Max H. Farrell, and Yingjie Feng. Nonlinear Binscatter Methods. Federal Reserve Bank of New York, 2024. http://dx.doi.org/10.59576/sr.1110.

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Binned scatter plots are a powerful statistical tool for empirical work in the social, behavioral, and biomedical sciences. Available methods rely on a quantile-based partitioning estimator of the conditional mean regression function to primarily construct flexible yet interpretable visualization methods, but they can also be used to estimate treatment effects, assess uncertainty, and test substantive domain-specific hypotheses. This paper introduces novel binscatter methods based on nonlinear, possibly nonsmooth M-estimation methods, covering generalized linear, robust, and quantile regressio
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