Relevant bibliographies by topics / AR algorithm

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

Academic literature on the topic 'AR algorithm'

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

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Journal articles on the topic "AR algorithm"

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Lei, Yue. "Design of Digital Media Advertisement from the Perspective of Base Image Schema Based on Web." Mobile Information Systems 2022 (August 8, 2022): 1–8. http://dx.doi.org/10.1155/2022/2362760.

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With the development of improved augmented reality (AR) devices, the use of AR in new media to better communicate culture has become a major trend. However, AR technology algorithms still have many shortcomings, and this paper proposes a new algorithm that shows that the proposed algorithm is better than traditional terrain generation algorithms in terms of display and granularity and less costly than traditional geographic algorithms, according to the proposed algorithm, traditional genealogy algorithms and terrain sequencing algorithms. Therefore, the proposed area adjustment algorithm in th
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Liu, Xiao Yong. "Design of RBF Neural Networks Based on Adjustable Radius." Key Engineering Materials 439-440 (June 2010): 605–10. http://dx.doi.org/10.4028/www.scientific.net/kem.439-440.605.

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In this paper, a new RBF neural network (RBFNN) algorithm, called ar-RBFNN, is presented. In traditional RBFNNs based on clustering algorithm, called oRBFNN in this paper, the width of the basis function-Gaussian function, or called radius, ignored the effect of numbers in different clusters, or density of data points. New algorithm considers radius is effect to performance of algorithms in problem of function approximation. Mean Square Error is used to evaluate performances of two algorithms, oRBFNN and ar-RBFNN algorithms. Several experiments in function approximation show ar-RBFNN is better
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He, Shufang, Yang Qiu, and Jing Xu. "Invalid-Resource-Aware Spectrum Assignment for Advanced-Reservation Traffic in Elastic Optical Network." Sensors 20, no. 15 (2020): 4190. http://dx.doi.org/10.3390/s20154190.

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Elastic optical networks (EONs) can make service accommodation more flexible and precise by employing efficient routing and spectrum allocation (RSA) algorithms. In order to improve the efficiency of RSA algorithms, the advanced-reservation technique was introduced into designing RSA algorithms. However, few of these advanced-reservation-based RSA algorithms were focused on the unavailable spectrum resources in EONs. In this paper, we propose an Advanced-Reservation-based Invalid-Spectrum-Aware (AR-ISA) resource allocation algorithm to improve the networking performance and the resource alignm
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Ali, Muhammad Ali Rushdi, and Mohammad Alturki Alaa. "Computation of k-out-of-n System Reliability via Reduced Ordered Binary Decision Diagrams." British Journal of Mathematics & Computer Science 22, no. 3 (2017): 1–9. https://doi.org/10.9734/BJMCS/2017/33642.

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A prominent reliability model is that of the partially-redundant (k-out-of-n) system. We use algebraic as well as signal-flow-graph methods to explore and expose the AR algorithm for computing k-out-of-n reliability. We demonstrate that the AR algorithm is, in fact, both a recursive and an iterative implementation of the strategy of Reduced Ordered Binary Decision Diagrams (ROBDDs). The underlying ROBDD for the AR recursive algorithm is represented by a compact Signal Flow Graph (SFG) that is used to deduce AR iterative algorithms of quadratic temporal complexity and linear spatial complexity.
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Chen, Jun, Bo Li, and Er Fei Wang. "Parallel Scheduling Algorithms Investigation of Support Strict Resource Reservation from Grid." Applied Mechanics and Materials 519-520 (February 2014): 108–13. http://dx.doi.org/10.4028/www.scientific.net/amm.519-520.108.

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This paper studies resource reservation mechanisms in the strict parallel computing grid,and proposed to support the parallel strict resource reservation request scheduling model and algorithms, FCFS and EASY backfill analysis of two important parallel scheduling algorithm, given four parallel scheduling algorithms supporting resource reservation. Simulation results of four algorithms of resource utilization, job bounded slowdown factor and the success rate of Advanced Reservation (AR) jobs were studied. The results show that the EASY backfill + firstfit algorithm can ensure QoS of AR jobs whi
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Sharma, Sachin, Deepak Thakur, and DR A. J. Singh. "Study of Various Computer Vision Algorithms for Registration in Augmented Reality: A Survey." International Journal for Research in Applied Science and Engineering Technology 12, no. 7 (2024): 283–87. http://dx.doi.org/10.22214/ijraset.2024.63550.

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Abstract: Augmented reality is defined as the fusion of virtual object in real world. Registration is basic step for creating an immersive AR experience to the user. The registration algorithms helps in placing the virtually created object in the most accurate position in the real world. This paper shows an in-depth comparative analysis of various registration algorithm under computer vision that are used for AR applications. The comparative analysis helps in identifying the strengths, weaknesses and the applicability of each algorithm in various AR fields by studying different case studies an
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Zhao, Ya Hui, Hong Li Wang, and Rong Yi Cui. "Abnormal Voice Detection Algorithm Based on Semi-Supervised Co-Training Algorithm." Advanced Materials Research 461 (February 2012): 117–22. http://dx.doi.org/10.4028/www.scientific.net/amr.461.117.

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The AR-Tri-training algorithm is proposed for applying to the abnormal voice detection, and voice detection software is designed by mixed programming used Matlab and VC in this paper. Firstly, training samples are collected and the features of each sample are extracted including centroid, spectral entropy, wavelet and MFCC. Secondly, the assistant learning strategy is proposed, AR-Tri-training algorithm is designed by combining the rich information strategy. Finally, Classifiers are trained by using AR-Tri-training algorithm, and the integrated classifier is applied to voice detection. As can
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Singha, Anjani Kumar, Harsh Pratap Singh, Shakti Kundu, Pradeep Kumar Tiwari, and Ajeet Singh Rajput. "Estimating computer network security scenarios with association rules." Journal of Discrete Mathematical Sciences and Cryptography 27, no. 2 (2024): 223–36. http://dx.doi.org/10.47974/jdmsc-1876.

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Traditional NSSA (network security situational awareness) systems are problems familiarize to enormous for complicated network circumstances due to instrument limitations, inadequate and data fusion capabilities. This paper proposes the investigation of Association Rules (AR) based NSS (network security situation) prediction technology. Mining for regulations for associations to remedy this issue re- confidence support framework is enhanced by incorporating an interest. The assessment standard is revised, and the worth of AR is reassessed established on a discussion of associated standard idea
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Sun, Hongwei, Jiu Wang, Zhongwen Zhang, Naibao Hu, and Tong Wang. "An Efficient Algorithm for the Detection of Outliers in Mislabeled Omics Data." Computational and Mathematical Methods in Medicine 2021 (December 22, 2021): 1–11. http://dx.doi.org/10.1155/2021/9436582.

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High dimensionality and noise have made it difficult to detect related biomarkers in omics data. Through previous study, penalized maximum trimmed likelihood estimation is effective in identifying mislabeled samples in high-dimensional data with mislabeled error. However, the algorithm commonly used in these studies is the concentration step (C-step), and the C-step algorithm that is applied to robust penalized regression does not ensure that the criterion function is gradually optimized iteratively, because the regularized parameters change during the iteration. This makes the C-step algorith
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Vasquez-Jalpa, Carlos, Mariko Nakano, Martin Velasco-Villa, and Osvaldo Lopez-Garcia. "NRNH-AR: A Small Robotic Agent Using Tri-Fold Learning for Navigation and Obstacle Avoidance." Applied Sciences 15, no. 15 (2025): 8149. https://doi.org/10.3390/app15158149.

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We propose a tri-fold learning algorithm, called Neuroevolution of Hybrid Neural Networks in a Robotic Agent (acronym in Spanish, NRNH-AR), based on deep reinforcement learning (DRL), with self-supervised learning (SSL) and unsupervised learning (USL) steps, specifically designed to be implemented in a small autonomous navigation robot capable of operating in constrained physical environments. The NRNH-AR algorithm is designed for a small physical robotic agent with limited resources. The proposed algorithm was evaluated in four critical aspects: computational cost, learning stability, require
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Dissertations / Theses on the topic "AR algorithm"

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Brochier, Felipe Osmar Berwanger. "Otimização de um condicionador de ar do tipo split com vazão variável de refrigerante." Universidade do Vale do Rio dos Sinos, 2014. http://www.repositorio.jesuita.org.br/handle/UNISINOS/4619.

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Submitted by Fabricia Fialho Reginato (fabriciar) on 2015-07-23T01:11:46Z No. of bitstreams: 1 FelipeBrochier.pdf: 2248315 bytes, checksum: 51a12fbb2e530bf08f1847557932b381 (MD5)<br>Made available in DSpace on 2015-07-23T01:11:46Z (GMT). No. of bitstreams: 1 FelipeBrochier.pdf: 2248315 bytes, checksum: 51a12fbb2e530bf08f1847557932b381 (MD5) Previous issue date: 2014-02<br>Nenhuma<br>Este trabalho tem como objetivo otimizar o custo operacional dependente dos parâmetros de vazão de ar do condensador, número de aletas e de circuitos do condensador, frequência do compressor e parâmetros do dispo
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Eremic, John C. "Iterative methods for estimation of 2-D AR parameters using a data-adaptive Toeplitz approximation algorithm." Thesis, Monterey, California. Naval Postgraduate School, 1991. http://hdl.handle.net/10945/28321.

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Fonseca, Rafael Frederico. "Sistema de controle de fluxo, temperatura e umidade relativa do ar para processos de fermentação em estado sólido." Universidade de São Paulo, 2012. http://www.teses.usp.br/teses/disponiveis/18/18153/tde-04042012-140404/.

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Os processos de fermentação em estado sólido (FES) existem há muitos séculos nas civilizações orientais, onde têm sido amplamente utilizados na produção de gêneros alimentícios. No ocidente, a indústria tem trabalhado preferencialmente com os processos de Fermentação Submersa (FS) porque, devido ao meio ser aquoso, existem facilidades para se controlar esse tipo de processo. No entanto, novas demandas (tais como o tratamento de resíduos sólidos) não são inteiramente contempladas pela FS. Por outro lado, os processos de FES podem ser descritos como o crescimento de microorganismos em substratos
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Assis, Alice Nascimento de, and 92-99331-6592. "Um modelo multivariado para predição de taxas e proporções dependentes." Universidade Federal do Amazonas, 2018. https://tede.ufam.edu.br/handle/tede/6391.

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Submitted by Divisão de Documentação/BC Biblioteca Central (ddbc@ufam.edu.br) on 2018-05-22T13:53:20Z No. of bitstreams: 2 license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) versaofinal.pdf: 8756608 bytes, checksum: e4b5f21e17776e8f9af04b6752317a59 (MD5)<br>Approved for entry into archive by Divisão de Documentação/BC Biblioteca Central (ddbc@ufam.edu.br) on 2018-05-22T14:16:29Z (GMT) No. of bitstreams: 2 license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) versaofinal.pdf: 8756608 bytes, checksum: e4b5f21e17776e8f9af04b6752317a59 (MD5)<br>Made availa
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Lopez, Marcano Juan L. "Classification of ADHD and non-ADHD Using AR Models and Machine Learning Algorithms." Thesis, Virginia Tech, 2016. http://hdl.handle.net/10919/73688.

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As of 2016, diagnosis of ADHD in the US is controversial. Diagnosis of ADHD is based on subjective observations, and treatment is usually done through stimulants, which can have negative side-effects in the long term. Evidence shows that the probability of diagnosing a child with ADHD not only depends on the observations of parents, teachers, and behavioral scientists, but also on state-level special education policies. In light of these facts, unbiased, quantitative methods are needed for the diagnosis of ADHD. This problem has been tackled since the 1990s, and has resulted in methods that ha
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Zgheib, Rawad. "Algorithmes adaptatifs d'identification et de reconstruction de processus AR à échantillons manquants." Phd thesis, Université Paris Sud - Paris XI, 2007. http://tel.archives-ouvertes.fr/tel-00273585.

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On souhaite reconstruire en ligne des signaux à échantillons manquants en utilisant une approche paramétrique. On propose alors des algorithmes adaptatifs d'identification et de reconstruction de processus AR à échantillons manquants. On s'intéresse premièrement à l'extension des algorithmes de gradient au cas des signaux à échantillons manquants. On propose alors deux alternatives à un algorithme existant fondées sur deux autres prédicteurs. Les algorithmes proposés convergent vers une estimation non biaisée des paramètres. Or les algorithmes de gradient souffrent d'une faible vitesse de conv
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Batista, Guilherme Lopes. "Análise de acetona em ar exalado: desenvolvimento de método eletroanalítico e algoritmo para processamento de sinais." Universidade de São Paulo, 2016. http://www.teses.usp.br/teses/disponiveis/46/46136/tde-07042016-090549/.

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Propõe-se método novo e completo para análise de acetona em ar exalado envolvendo coleta com pré-concentração em água, derivatização química e determinação eletroquímica assistida por novo algoritmo de processamento de sinais. Na literatura recente a acetona expirada vem sendo avaliada como biomarcador para monitoramento não invasivo de quadros clínicos como diabetes e insuficiência cardíaca, daí a importância da proposta. Entre as aminas que reagem com acetona para formar iminas eletroativas, estudadas por polarografia em meados do século passado, a glicina apresentou melhor conjunto de carac
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Zhang, Huimin. "Algorithmes rapides et matrices de toeplitz." Paris, ENST, 1989. http://www.theses.fr/1989ENST0008.

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Cette these concerne l'etude des algorithmes rapides fondes sur des matrices de toeplitz, dans le contexte des methodes d'analyse spectrale haute-resolution. Apres une analyse des proprietes et structures des matrices de correlation estimees par des methodes classiques, nous etudions dans la premiere partie de cette these, une matrice de toeplitz particuliere la matrice d'ouamri. Cette matrice est la seule matrice de correlation a la structure de toeplitz qui permette d'obtenir une estimation asymptotiquement sans biais des frequences sinusoidales. A l'aide de cette matrice, nous developpons u
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Dap, Simon. "Etude numérique et expérimentale de la détection et la formation de poussières carbonées dans un plasma radio fréquence en mélange Ar/C2H2." Thesis, Université de Lorraine, 2012. http://www.theses.fr/2012LORR0084/document.

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La présence de poussières au sein des plasmas est rencontrée dans de multiples environnements tels que les plasmas de laboratoires ou les plasmas de fusion. Les processus conduisant à leur formation constituent un vaste champ d'études depuis plusieurs années. Ce travail de thèse a pour objectif d'étudier un nouveau mécanisme de croissance des poussières dans un plasma radiofréquence capacitif en mélange argon/acétylène. Dans certaines conditions, il a été observé que des ondes de densité de poussières apparaissaient spontanément au sein des nuages de poussières. Elles peuvent grandement favori
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Alexandre, Márcio Eliel de Oliveira. "Algoritmo de diferenças finitas com variaveis primitivas em convencção natural, para placa plana vertical, aplicado a agua e ao ar com propriedades variaveis." [s.n.], 1995. http://repositorio.unicamp.br/jspui/handle/REPOSIP/263243.

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Orientador: Jose Ricardo Figueiredo<br>Dissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Mecãnica<br>Made available in DSpace on 2018-07-20T10:36:49Z (GMT). No. of bitstreams: 1 Alexandre_MarcioElieldeOliveira_M.pdf: 26032193 bytes, checksum: 8f2f8139c3901c9e5ebb50bc4041b2f5 (MD5) Previous issue date: 1995<br>Resumo: O objetivo deste trabalho é analisar o comportamento dos fluidos água e ar com escoamento laminar e regime permanente em convecção natural em contato com uma placa plana vertical, considerando os casos de placa com temperatura constante e fluxo
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Books on the topic "AR algorithm"

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Eremic, John C. Iterative methods for estimation of 2-D AR parameters using a data-adaptive Toeplitz approximation algorithm. Naval Postgraduate School, 1991.

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Lapkovska, Eva. Apģērba antropometriskās lielumatbilstības un ergonomiskuma novērtēšanas metožu pilnveidošana. RTU Press, 2022. http://dx.doi.org/10.7250/9789934227639.

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Promocijas darbā aprakstīta izstrādātā metode – algoritms apģērba antropometriskās lielumatbilstības un ergonomiskuma novērtēšanai. Pamatojoties uz veiktajiem pētījumiem un autores gūto pieredzi praktisku pētījumu realizēšanā par apģērba lielumatbilstības problēmjautājumiem, izstrādāta metode apģērba antropometriskās lielumatbilstības un ergonomiskuma novērtēšanai ar mērķi veicināt atbilstoša apģērba izvēles procesu efektivitāti. Izklāstīta šīs metodes koncepcija, aprakstīta tās realizācija un darbība, specificējot algoritma uzbūvi un elementus – procesa daļas. Aprakstīta metodes aprobācija un
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Boreiko, Dmitrijs. Ražošanas uzņēmumu energoefektivitātes paaugstināšanas metodes un algoritmi. RTU Press, 2022. http://dx.doi.org/10.7250/9789934228230.

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Promocijas darbā autors analizē pasaulē uzkrāto pieredzi energoefektivitātes un pieprasījumreakcijas jautājumos. Izmantojot šo pieredzi un mūsdienu tehnoloģijas, izstrādāta metodika, kas ļauj izmantot energoefektivitātes paaugstināšanu un pieprasījumreakciju lieliem ražotājiem ar mērķi samazināt elektroenerģijas izmaksas, kā arī samazināt CO2 izmešus atmosfērā. Piedāvātā kompleksā pieeja ietver tādus jautājumus kā iekārtu izmantošanas optimizācija ražotnē; ražošanas ciklu optimizācija, balstoties uz elektroenerģijas cenām; elektroenerģijas akumulācijas izmantošana, lai pārbīdītu patēriņu laikā
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Pavlovskis, Pēteris. Starpslāņu sagrūšanas divu aktuālo problēmu analīze slāņveida kompozītmateriāliem. RTU Press, 2022. http://dx.doi.org/10.7250/9789934228131.

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Promocijas darbā pētīti divu veidu paraugi, pamatojoties uz elastīgu plākšņu nelineāro teoriju, lai aprēķinātus slāņveida kompozītmateriālu starpslāņa lūzumu izturību. Plāna apakšslāņa tipa paraugam iegūts teorētisks risinājums attiecībā uz starpslāņu lūzuma izturības noteikšanu jauktai I/II Modai. Apstiprināta fundamentāla iespēja izmantot šo risinājumu testēšanas praksē. Sīkāk pētīta elastīgo plākšņu nelineārās teorijas izmantošana labi zināmajam dubultkonsoles sijas (DCB) standarta paraugam. Iegūts teorētisks risinājums, izstrādāts iteratīvs algoritms testa rezultātu apstrādei, pamatojoties
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Paulauskaitė-Tarasevičienė, Agnė, and Kristina Šutienė. Intelektikos pagrindai. KTU leidykla „Technologija“, 2022. http://dx.doi.org/10.5755/e01.9786090218068.

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Dirbtinis intelektas (DI) yra daugiausia diskusijų keliantis ir tyrinėjimų reikalaujantis objektas technologijų pasaulyje. DI grįstos skaitmeninės technologijos tampa svarbia kiekvieno iš mūsų kasdienybės dalimi. Daugelis žino apie dirbtinio intelekto programas, palengvinančias mūsų gyvenimą, tačiau mažai kas supranta, kas tai yra iš tiesų. Įdomu tai, kad DI funkcionuoja kelių skirtingų akademinių disciplinų, daugiausia informatikos, matematikos ir inžinerijos, sandūroje. Tačiau sričių, kuriose DI metodai gali būti taikomi, yra labai daug: nuo finansų iki kompiuterinių žaidimų ir t. t. Lietuvi
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Book chapters on the topic "AR algorithm"

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Ye, Xiaoguo, Huimin Cheng, and Ruchuan Wang. "AR-HS: Ant Routing Optimized Algorithm on HAPs-Satellite Integrated Networks." In Communications in Computer and Information Science. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-36252-1_57.

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Lee, Youngho. "AR Coloring Jigsaw Puzzles with Texture Extraction and Auto-UV Mapping Algorithm." In Distributed, Ambient, and Pervasive Interactions. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-20804-6_17.

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Wei, Wenqiang, Jidong Suo, and Xiaoming Liu. "An Improved Interacting Multiple Model Algorithm Based on Switching of AR Model Set." In Lecture Notes in Electrical Engineering. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-6504-1_56.

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Yang, Yumin, Chonghui Guo, and Zunquan Xia. "An EM Algorithm for Independent Component Analysis Using an AR-GGD Source Model." In AI 2007: Advances in Artificial Intelligence. Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-76928-6_98.

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Gooya, Ali, Hongen Liao, Kiyoshi Matsumiya, Ken Masamune, and Takeyoshi Dohi. "Pulsative Flow Segmentation in MRA Image Series by AR Modeling and EM Algorithm." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11812715_45.

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Prajapati, Dilip, and Mahendra Kanojia. "Forecasting of COVID-19 Cases in INDIA Using ARIMA and AR Time-Series Algorithm." In Proceedings of the 13th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2021). Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-96302-6_33.

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Shim, Bokwang, Suhyeon Seo, Sungil Oh, and Yangkyu Lim. "Optimizing Real-Time Translation for AR Glasses: Enhancing Usability through Gesture and Content Algorithm." In Communications in Computer and Information Science. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-94150-4_16.

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Gounaridou, Apostolia, Evangelia Pantraki, Vasileios Dimitriadis, Athanasios Tsakiris, Dimosthenis Ioannidis, and Dimitrios Tzovaras. "Semi-Automated Visual Quality Control Inspection During Construction or Renovation of Railways Using Deep Learning Techniques and Augmented Reality Visualization." In CONVR 2023 - Proceedings of the 23rd International Conference on Construction Applications of Virtual Reality. Firenze University Press, 2023. http://dx.doi.org/10.36253/979-12-215-0289-3.86.

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The construction industry stands to greatly benefit from the technological advancements in deep learning and computer vision, which can automate time-consuming tasks such as quality control. In this paper, we introduce a framework that incorporates two advanced tools - the Visual Quality Control (VQC) tool and the Digital Twin visualization with Augmented Reality (DigiTAR) tool - to perform semi-automated visual quality control in the construction site during the execution phase of the project. The VQC tool is a backend service that detects potential defects on images captured on-site using th
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Gounaridou, Apostolia, Evangelia Pantraki, Vasileios Dimitriadis, Athanasios Tsakiris, Dimosthenis Ioannidis, and Dimitrios Tzovaras. "Semi-Automated Visual Quality Control Inspection During Construction or Renovation of Railways Using Deep Learning Techniques and Augmented Reality Visualization." In CONVR 2023 - Proceedings of the 23rd International Conference on Construction Applications of Virtual Reality. Firenze University Press, 2023. http://dx.doi.org/10.36253/10.36253/979-12-215-0289-3.86.

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The construction industry stands to greatly benefit from the technological advancements in deep learning and computer vision, which can automate time-consuming tasks such as quality control. In this paper, we introduce a framework that incorporates two advanced tools - the Visual Quality Control (VQC) tool and the Digital Twin visualization with Augmented Reality (DigiTAR) tool - to perform semi-automated visual quality control in the construction site during the execution phase of the project. The VQC tool is a backend service that detects potential defects on images captured on-site using th
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Badioze Zaman, Halimah, Elango a/l Periasamy, Azlina Ahmad, Riza Sulaiman, Mei Choo Ang, and Norshita Mat Nayan. "Evaluation of Augmented Reality Remedial Worksheet Based on AVCTP Algorithm for Negative Numbers (AR²WN²)." In Advances in Visual Informatics. Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-02958-0_53.

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Conference papers on the topic "AR algorithm"

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Guo, Jin, Tan Li, Xianghui Meng, et al. "Research on AR target recognition algorithm for mobile based on YOLOv8." In 2024 IEEE Smart World Congress (SWC). IEEE, 2024. https://doi.org/10.1109/swc62898.2024.00338.

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Li, Lin, and Hongli Wang. "Simulation of Big Data AR Intelligent Tourism System Based on Improved Apriori Algorithm." In 2024 3rd International Conference on Artificial Intelligence and Autonomous Robot Systems (AIARS). IEEE, 2024. http://dx.doi.org/10.1109/aiars63200.2024.00165.

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Sakakihara, Taichi, and Yuji Sakamoto. "Holographic Head-mounted Display Capable of Displaying AR in accordance with User’s Attitude Angle." In Digital Holography and Three-Dimensional Imaging. Optica Publishing Group, 2024. http://dx.doi.org/10.1364/dh.2024.w4a.4.

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We developed a holographic head-mounted display (Holo-HMD) that can dis-play AR in accordance with the user’s attitude angle. It performs phase compensation as a calculation algorithm for CGH, thereby enabling fast calculations.
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Khairy, Muhammad Shulhan, Septian Enggar Sukmana, Ely Setyo Astuti, Muhammad Unggul Pamenang, Berryl Radian Hamesha, and Rosi Latansa Salsabela. "Improvement of Shortest Path Finding with A* Algorithm on Augmented Reality (AR) Indoor Navigation Application." In 2024 International Conference on Computer Engineering, Network, and Intelligent Multimedia (CENIM). IEEE, 2024. https://doi.org/10.1109/cenim64038.2024.10882820.

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Incerti, Manuela, and Stefano Costantini. "AR and VR for the Casa Romei Museum." In 2024 26th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC). IEEE, 2024. https://doi.org/10.1109/synasc65383.2024.00059.

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Singh, Jagbir, Hariharan Ragothaman, Arjun Jaggi, Ogabek Solaev, Urazbayeva Dilbar, and Akanksha Chauhan. "Personalized Healthcare Monitoring Through AR Wearables and Predictive Analytics Algorithms." In 2025 First International Conference on Advances in Computer Science, Electrical, Electronics, and Communication Technologies (CE2CT). IEEE, 2025. https://doi.org/10.1109/ce2ct64011.2025.10939627.

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Vänttinen, Mikko, Petri Myöhänen, Gabriel Topp, and Juuso Olkkonen. "A comparative study of global optimization algorithms in diffractive waveguide design." In Optical Architectures for Displays and Sensing in Augmented, Virtual, and Mixed Reality (AR, VR, MR) VI, edited by Hong Hua, Naamah Argaman, and Daniel K. Nikolov. SPIE, 2025. https://doi.org/10.1117/12.3040685.

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Ragothaman, Hariharan, Arjun Jaggi, Jagbir Singh, Sapaev Sindor, Eshchanova Nasiba, and Aniket Adarsh. "Real-Time Emotion Detection in AR Mental Health Applications Using Sentiment Analysis Algorithms." In 2025 First International Conference on Advances in Computer Science, Electrical, Electronics, and Communication Technologies (CE2CT). IEEE, 2025. https://doi.org/10.1109/ce2ct64011.2025.10939650.

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Haiyan, Wu, Zhao Xiaoqun, and Han Xiaolei. "Special estimation algorithm of AR model." In 2012 International Conference on Audio, Language and Image Processing (ICALIP). IEEE, 2012. http://dx.doi.org/10.1109/icalip.2012.6376760.

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Wei, Shuning, Xingru Chen, and Bangbang Zhou. "Network Traffic Classification Based on AR-ELM Algorithm*." In 2018 13th World Congress on Intelligent Control and Automation (WCICA). IEEE, 2018. http://dx.doi.org/10.1109/wcica.2018.8630436.

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Reports on the topic "AR algorithm"

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Osadchyi, Viacheslav V., Hanna B. Varina, Kateryna P. Osadcha, Olesia O. Prokofieva, Olha V. Kovalova, and Arnold E. Kiv. Features of implementation of modern AR technologies in the process of psychological and pedagogical support of children with autism spectrum disorders. [б. в.], 2020. http://dx.doi.org/10.31812/123456789/4413.

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The article deals with the actual issue of the specificity and algorithm of the introduction of innovative AR technologies in the process of psychological and pedagogical support of children with autism spectrum disorders (ASD). An innovative element of theoretical and methodological analysis of the problem and empirical research is the detection of vectors of a constructive combination of traditional psycho-correctional and psycho-diagnostic approaches with modern AR technologies. The analysis of publications on the role and possibilities of using AR technologies in the process of support chi
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Petrovych, Olha B., Alla P. Vinnichuk, Viktor P. Krupka, Iryna A. Zelenenka, and Andrei V. Voznyak. The usage of augmented reality technologies in professional training of future teachers of Ukrainian language and literature. CEUR Workshop Proceedings, 2021. http://dx.doi.org/10.31812/123456789/4635.

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The article deals with the peculiarities of creation and practical application of augmented reality (AR) technologies for the organization of students-philologists’ individual and group work in studying the discipline “Methodic of teaching literature”. The relevance of the introduction of AR technologies for the future teachers-philologists’ readiness formation to the professional activity is substantiated. Analysis of the scientific sources suggested that the professional training process requires the modernization of teaching methods, and the usage of information and communication technologi
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Morkun, Vladimir S., Natalia V. Morkun, and Andrey V. Pikilnyak. Augmented reality as a tool for visualization of ultrasound propagation in heterogeneous media based on the k-space method. [б. в.], 2020. http://dx.doi.org/10.31812/123456789/3757.

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For programming the AR tools, interactive objects and creating the markers, the method of fiber spaces (k-space) for modeling of ultrasonic wave propagation in an inhomogeneous medium using coarse grids, with maintaining the required accuracy was used. The algorithm and tools of augmented reality were introduced into the adaptive control system of the pulp gas phase in the iron ore flotation process using a control action on the basis of high-energy ultrasound dynamic effects generated by ultrasonic phased arrays. The tools of augmented reality based on k-space methods allow to facilitate wide
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Idakwo, Gabriel, Sundar Thangapandian, Joseph Luttrell, Zhaoxian Zhou, Chaoyang Zhang, and Ping Gong. Deep learning-based structure-activity relationship modeling for multi-category toxicity classification : a case study of 10K Tox21 chemicals with high-throughput cell-based androgen receptor bioassay data. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/41302.

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Deep learning (DL) has attracted the attention of computational toxicologists as it offers a potentially greater power for in silico predictive toxicology than existing shallow learning algorithms. However, contradicting reports have been documented. To further explore the advantages of DL over shallow learning, we conducted this case study using two cell-based androgen receptor (AR) activity datasets with 10K chemicals generated from the Tox21 program. A nested double-loop cross-validation approach was adopted along with a stratified sampling strategy for partitioning chemicals of multiple AR
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Yevtuch, Mykola B., Vasyl M. Fedorets, Oksana V. Klochko, Mariya P. Shyshkina, and Alla V. Dobryden. Development of the health-preserving competence of a physical education teacher on the basis of N. Bernstein's theory of movements construction using virtual reality technologies. CEUR Workshop Proceedings, 2021. http://dx.doi.org/10.31812/123456789/4634.

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The article studies the results of the research aimed at the improvement of the methodology of develop- ment of the health-preserving competence of a Physical Education teacher in conditions of post-graduate education on the basis of Nikolai Bernstein’s theory of movement construction using virtual reality technologies. Based on the use of AR/VR technologies a software application “Virtual Model Illustrating Nikolai Bernstein’s Theory of Movement Construction” was developed. The stated model is one of the tools of the “Methodology of development of the health preserving competence of a Physica
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Oleksiuk, Vasyl P., and Olesia R. Oleksiuk. Exploring the potential of augmented reality for teaching school computer science. [б. в.], 2020. http://dx.doi.org/10.31812/123456789/4404.

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The article analyzes the phenomenon of augmented reality (AR) in education. AR is a new technology that complements the real world with the help of computer data. Such content is tied to specific locations or activities. Over the last few years, AR applications have become available on mobile devices. AR becomes available in the media (news, entertainment, sports). It is starting to enter other areas of life (such as e-commerce, travel, marketing). But education has the biggest impact on AR. Based on the analysis of scientific publications, the authors explored the possibilities of using augme
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Osadchyi, Viacheslav V., Hanna Y. Chemerys, Kateryna P. Osadcha, Vladyslav S. Kruhlyk, Serhii L. Koniukhov, and Arnold E. Kiv. Conceptual model of learning based on the combined capabilities of augmented and virtual reality technologies with adaptive learning systems. [б. в.], 2020. http://dx.doi.org/10.31812/123456789/4417.

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The article is devoted to actual problem of using modern ICT tools to increase the level of efficiency of the educational process. The current state and relevance of the use of augmented reality (AR) and virtual reality (VR) technologies as an appropriate means of improving the educational process are considered. In particular, attention is paid to the potential of the combined capabilities of AR and VR technologies with adaptive learning systems. Insufficient elaboration of cross-use opportunities for achieving of efficiency of the educational process in state-of-the-art research has been ide
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Pasupuleti, Murali Krishna. AI-Driven Marketing Innovations: Personalization and Ethics in the Digital Era. National Education Services, 2025. https://doi.org/10.62311/nesx/rr625.

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Abstract: This article explores the transformative impact of artificial intelligence (AI) on digital marketing, focusing on strategies for delivering personalized content and ensuring ethical advertising. By leveraging AI, marketers can now analyze consumer behavior with precision, enabling targeted content, automated ad placement, and real-time adjustments that enhance user engagement and conversions. The Article examines foundational AI techniques, such as recommendation engines, predictive analytics, and natural language processing, which drive personalization at scale. Additionally, it add
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Galili, Naftali, Roger P. Rohrbach, Itzhak Shmulevich, Yoram Fuchs, and Giora Zauberman. Non-Destructive Quality Sensing of High-Value Agricultural Commodities Through Response Analysis. United States Department of Agriculture, 1994. http://dx.doi.org/10.32747/1994.7570549.bard.

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The objectives of this project were to develop nondestructive methods for detection of internal properties and firmness of fruits and vegetables. One method was based on a soft piezoelectric film transducer developed in the Technion, for analysis of fruit response to low-energy excitation. The second method was a dot-matrix piezoelectric transducer of North Carolina State University, developed for contact-pressure analysis of fruit during impact. Two research teams, one in Israel and the other in North Carolina, coordinated their research effort according to the specific objectives of the proj
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