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Статті в журналах з теми "Transformer Architecture"
Rahali, Abir, and Moulay A. Akhloufi. "End-to-End Transformer-Based Models in Textual-Based NLP." AI 4, no. 1 (January 5, 2023): 54–110. http://dx.doi.org/10.3390/ai4010004.
Повний текст джерелаChi, Ye, Haikun Liu, Ganwei Peng, Xiaofei Liao, and Hai Jin. "Transformer: An OS-Supported Reconfigurable Hybrid Memory Architecture." Applied Sciences 12, no. 24 (December 18, 2022): 12995. http://dx.doi.org/10.3390/app122412995.
Повний текст джерелаCui, Liyuan, Guoqiang Zhong, Xiang Liu, and Hongwei Xu. "A Compact Object Detection Architecture with Transformer Enhancing." Journal of Physics: Conference Series 2278, no. 1 (May 1, 2022): 012034. http://dx.doi.org/10.1088/1742-6596/2278/1/012034.
Повний текст джерелаLorenzo, Javier, Ignacio Parra Alonso, Rubén Izquierdo, Augusto Luis Ballardini, Álvaro Hernández Saz, David Fernández Llorca, and Miguel Ángel Sotelo. "CAPformer: Pedestrian Crossing Action Prediction Using Transformer." Sensors 21, no. 17 (August 24, 2021): 5694. http://dx.doi.org/10.3390/s21175694.
Повний текст джерелаShao, Ran, Xiao-Jun Bi, and Zheng Chen. "A novel hybrid transformer-CNN architecture for environmental microorganism classification." PLOS ONE 17, no. 11 (November 11, 2022): e0277557. http://dx.doi.org/10.1371/journal.pone.0277557.
Повний текст джерелаIbrahem, Hatem, Ahmed Salem, and Hyun-Soo Kang. "RT-ViT: Real-Time Monocular Depth Estimation Using Lightweight Vision Transformers." Sensors 22, no. 10 (May 19, 2022): 3849. http://dx.doi.org/10.3390/s22103849.
Повний текст джерелаLee, Jaewoo, Sungjun Lee, Wonki Cho, Zahid Ali Siddiqui, and Unsang Park. "Vision Transformer-Based Tailing Detection in Videos." Applied Sciences 11, no. 24 (December 7, 2021): 11591. http://dx.doi.org/10.3390/app112411591.
Повний текст джерелаHe, Ju, Jie-Neng Chen, Shuai Liu, Adam Kortylewski, Cheng Yang, Yutong Bai, and Changhu Wang. "TransFG: A Transformer Architecture for Fine-Grained Recognition." Proceedings of the AAAI Conference on Artificial Intelligence 36, no. 1 (June 28, 2022): 852–60. http://dx.doi.org/10.1609/aaai.v36i1.19967.
Повний текст джерелаGao, Shuguo, Jun Zhao, Yunpeng Liu, Ziqiang Xu, Zhe Li, Lu Sun, and Yuan Tian. "Research into Power Transformer Health Assessment Technology Based on Uncertainty of Information and Deep Architecture Design." Mathematical Problems in Engineering 2021 (April 2, 2021): 1–12. http://dx.doi.org/10.1155/2021/8831872.
Повний текст джерелаXu, Zhen, David R. So, and Andrew M. Dai. "MUFASA: Multimodal Fusion Architecture Search for Electronic Health Records." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 12 (May 18, 2021): 10532–40. http://dx.doi.org/10.1609/aaai.v35i12.17260.
Повний текст джерелаДисертації з теми "Transformer Architecture"
Ogunnika, Olumuyiwa Temitope 1978. "A simple transformer-based resonator architecture for low phase noise LC oscillators." Thesis, Massachusetts Institute of Technology, 2003. http://hdl.handle.net/1721.1/28338.
Повний текст джерелаIncludes bibliographical references (leaves 86-87).
This thesis investigates the use of a simple transformer-coupled resonator to increase the loaded Q of a LC resonant tank. The windings of the integrated transformer replace the simple inductors as the inductive elements of the resonator. The resonator topology considered in this project is a simpler alternative to another proposed by Straayer et al [5] because it just requires a single varactor. A prime objective of this project is to prove that a transformer-coupled resonator which is simpler than that proposed by Straayer in [5] produces the same reduction in phase noise. The use of this type of resonator topology is a valuable technique which can be employed by RF engineers to reduce the phase noise generated by oscillators in high speed RF systems. Such techniques which increase the loaded Q of the resonator are very useful in practice because of the inverse squared relationship between resonator Q and the phase noise in the output signals of LC oscillators. The important aspect of this technique is that magnetic coupling between the windings of an integrated transformer increases their effective inductance while leaving their series resistance relatively unchanged. As a result, the Q of these inductive elements is increased and the phase noise generated by the oscillator is reduced. SpectreRF simulations of an LC oscillator with a center frequency of 5GHz were used to verify the performance of the proposed transformer-coupled resonator.
by Olumuyiwa Temitope Ogunnika.
S.M.
Maneikis, Andrius. "Distribution On Load Tap Changer Control Using IEC61850 Client/Server Architecture." Thesis, KTH, Skolan för elektro- och systemteknik (EES), 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-193673.
Повний текст джерелаDistribuerad generation håller på att förändra transmissionsnätet till decentraliserat system där separata enheter som vindkraftverk eller solpanel skall samexistera och fungera tillsammans för att komplettera varandra och att göra ett omfattande system som helhet så kallade smarta elnät. Det är ytterst viktigt att ha en kontroll förmåga över sådana enheter inte bara på ett fältnivå utan även på systemnivå. För att kunna kommunicera med många enheter och bibehålla interoperabiliten som universell standard är ett måste. En av de grundläggande normer som är relevanta för smarta nät är IEC 61850 - Skydd & Automation, som kommer in i bistånd och möter ovan nämnda utmaningar. Detta projekt använder IEC61850-struktur för att implementera klient/server windows applikation för lindningskopplarens fjärrkontroll. Den föreslagna lösningen och utformade applikationer testas tillsammans med en realtidssimulator där enkelt kraftsystem modelleras för att emulera systemets svar på de givna styrsignalerna i realtid. På detta sätt kan de implementerade programmen prövas och bedömas hur de utföras i verklig miljö. Följaktligen kan användare av klientapplikationen fjärrstyra spänningen på transformatorns sekundärsida och manipulera ställverk som simuleras i modellen.
Policarpi, Andrea. "Transformers architectures for time series forecasting." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2022. http://amslaurea.unibo.it/25005/.
Повний текст джерелаGrzeszczak, Aleksander. "VLSI architecture for Discrete Wavelet Transform." Thesis, University of Ottawa (Canada), 1995. http://hdl.handle.net/10393/9908.
Повний текст джерелаFerreira, Costa Levy [Verfasser]. "Modular Power Converters for Smart Transformer Architectures / Levy Ferreira Costa." Kiel : Universitätsbibliothek Kiel, 2019. http://d-nb.info/1197055312/34.
Повний текст джерелаSkerry, Nathaniel S. (Nathaniel Standish) 1971. "Transformed materials : a material research center in Milan, Italy." Thesis, Massachusetts Institute of Technology, 2002. http://hdl.handle.net/1721.1/70358.
Повний текст джерелаIncludes bibliographical references (p. 74-75).
[Transformed Materials] is an exploration into today's design methodologies of architecture production. The emergence of architectural form is questioned in relation to the temporal state of design intent and the physical material construct. At a time when there is an increased awareness of the current state of technology, material innovation and methods of fabrication, there are new speculations of what materiality is and can be. This thesis will propose an architecture that emerges through an exploration of the material concept that directly informs and expresses the fundamental ideas of the project. Building methods have changed widely over time, and are co-responsible for creating a dialog between functional requirements, technological invention, and material implication that reflects the current cultural state. Today's architectural products have in a sense reverted back to thin surfaces. Current cultural issues such as socioeconomic, environmental impact, transportability, efficiency, lightness, storability, technology, and mass production, have over time created a state of "thinness ". This project tries to offset the current trend of building by accepting the norms of architectural products, and reinventing their role within a contemporary language that explores more deeply the material qualities and properties associates with it. This thesis will use steel as the primary building material. Steel is a material that has become standardized in how it is shaped and formed, thus its ability to produce an architecture has been reduced purely to a dogmatiC approach of engineered solutions or preconceived results. Steel, is artificial by nature; if we suspend our preconceptions of steel, could the material be designed such that its role is critical in defining space, structure and program in a tectonic system? The area of research and examination will be focused on the design of a Material Research Center (mRC). located in Milan, Italy.
by Nathaniel S. Skerry.
M.Arch.
Mandly, Clayton E. "Push Pull - Compulsory Interactions in Architecture." University of Cincinnati / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1428065491.
Повний текст джерелаPalmer, Joseph McRae. "The Hybrid Architecture Parallel Fast Fourier Transform (HAPFFT) /." Diss., CLICK HERE for online access, 2005. http://contentdm.lib.byu.edu/ETD/image/etd855.pdf.
Повний текст джерелаPalmer, Joseph M. "The Hybrid Architecture Parallel Fast Fourier Transform (HAPFFT)." BYU ScholarsArchive, 2005. https://scholarsarchive.byu.edu/etd/555.
Повний текст джерелаCamarda, Florent. "Développement d'une architecture reconfigurable pour transformée de Fourier rapide." Rennes, INSA, 2012. http://www.theses.fr/2012ISAR0036.
Повний текст джерелаThis manuscript deals with the implementation of a reconfigurable Fast Fourier Transform architecture. The architecture is suitable for almost all the digital communication systems h using OFDM modulation. The first chapter starts with a reminder of the OFDM signal theories for which an Inverse Discrete Fourier Transform (lOFT) is required on the transmitter side as well as a Direct Discrete Fourier Transform (DFT) on the receiver side. This operation involves one of the greatest complexities of hardware implementation so that its optimization has a great importance. This chapter also presents the multiple ways in which the DFT and its inverse can be used in advanced OFDM modulations and demodulations. The goal of the second chapter is to explore the different ways of implementing the FFT. First, some general principles of the digital architectures are presented as well as the reconfiguration possibilities. Then, several FFT architectures are compared and classified depending on the way the operation is computed and whether the architecture is reconfigurable or not. The third chapter presents two algorithms of Fast Fourier Transform (FFT) which are computable via the proposed architecture. After a quick presentation and classification of the main different FFT algorithms, both the Radix algorithm and the Winograd Fourier Transform Algorithm (WFTA) are studied in depth. This study leads to the possibility of a clever combination of these two algorithms allowing then to compute a larger group of FFT sizes. Chapter four presents the proposed architecture, which is the major contribution of this PhD thesis. This architecture involves three main elements: the reconfigurable butterfly, the twiddle factors computation and data storage in memories. Two configurations of the architecture are proposed. The first allows high throughput for the results of the operation while the second one is optimized in resources use and power consumption. A control architecture for the computation units is also presented. The following chapter introduces the issue of number representations in hardware descriptions. The two most important data representation forms (fixed point and floating point) are presented. As the fixed-point representation is retained in order to reduce the hardware complexity, a study presents the impact of the imperfect representation of real values. Results are given in order to choose the best compromises between the computing precision and the resources needs. These results are given in terms of Signal to Quantization Noise Ratio for several given data widths. The last chapter provides results of the implementation of the architecture for the Digital Terrestrial Television Broadcasting (DTIB) application. Lt first evokes the main features of the three DTIB standards that are considered (DVB, DMB and ISDB). Then the implementations parameters are presented for the two configurations presented in the fourth chapter. Results are then given in terms of resources use for many data widths as well as for time performances. A general conclusion sums up all the results and lists all the advantages and drawbacks of the proposed architecture. Some perspectives are given in order to lead to many optimizations as well as an implementation on an Application Specifie lntegrated Circuit (ASIC) target
Книги з теми "Transformer Architecture"
Lavigne, Lucie. Construire, rénover, transformer: Les meilleures idées d'architectes pour réussir votre projet. Montréal: La Presse, 2011.
Знайти повний текст джерелаKlanten, Robert. Build-on: Converted architecture and transformed buildings. Berlin: Gestalten, 2009.
Знайти повний текст джерелаThe Italian piazza transformed: Parma in the communal age. University Park, Pa: Pennsylvania State University Press, 2012.
Знайти повний текст джерелаDavis, Douglas. The museum transformed: Design and culture in the post-Pompidou age. New York: Abbeville Press, 1990.
Знайти повний текст джерелаFrance) Centre méridional de l'architecture et de la ville (Toulouse. Rêves de villes: Les habitants transforment leurs quartiers. [Toulouse]: Poïesis-AERA, 2007.
Знайти повний текст джерелаThe Highland house transformed: Architecture and identity on the edge of Britain, 1700-1850. Dundee: Dundee University Press, 2009.
Знайти повний текст джерелаCooper, Guy. Paradise transformed: The private garden for the twenty-first century. New York, N.Y: Monacelli Press, 1996.
Знайти повний текст джерела1949-, Clement Victoria Chave, ed. Stonlea: A timeworn, gilded age survivor transformed. Peterborough, New Hampshire: Bauhan Publishing, 2014.
Знайти повний текст джерелаHawes, Elizabeth. New York, New York: How the apartment house transformed the life of the city (1869-1930). New York: Knopf, 1993.
Знайти повний текст джерелаRobinson, Cervin. Architecture transformed: A history of the photography of buildings from 1839 to the present. New York, N.Y: Architectural League of New York, 1987.
Знайти повний текст джерелаЧастини книг з теми "Transformer Architecture"
Su, Xiu, Shan You, Jiyang Xie, Mingkai Zheng, Fei Wang, Chen Qian, Changshui Zhang, Xiaogang Wang, and Chang Xu. "ViTAS: Vision Transformer Architecture Search." In Lecture Notes in Computer Science, 139–57. Cham: Springer Nature Switzerland, 2022. http://dx.doi.org/10.1007/978-3-031-19803-8_9.
Повний текст джерелаHuang, Zhaoyang, Xiaoyu Shi, Chao Zhang, Qiang Wang, Ka Chun Cheung, Hongwei Qin, Jifeng Dai, and Hongsheng Li. "FlowFormer: A Transformer Architecture for Optical Flow." In Lecture Notes in Computer Science, 668–85. Cham: Springer Nature Switzerland, 2022. http://dx.doi.org/10.1007/978-3-031-19790-1_40.
Повний текст джерелаNi, Bolin, Gaofeng Meng, Shiming Xiang, and Chunhong Pan. "NASformer: Neural Architecture Search for Vision Transformer." In Lecture Notes in Computer Science, 47–61. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-02375-0_4.
Повний текст джерелаWang, Xinyu, Ziwei Tang, Yaohua Yi, and Chaohua Gan. "Transformer-Based Coattention: Neural Architecture for Reading Comprehension." In Lecture Notes in Electrical Engineering, 548–55. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-1864-5_75.
Повний текст джерелаEstupiñán-Ojeda, Cristian, Cayetano Guerra-Artal, and Mario Hernández-Tejera. "Informer: An Efficient Transformer Architecture Using Convolutional Layers." In Lecture Notes in Computer Science, 208–17. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-10161-8_11.
Повний текст джерелаYang, Chenyue, Yixuan Pan, Yichao Cao, and Xiaobo Lu. "CNN-Transformer Hybrid Architecture for Early Fire Detection." In Lecture Notes in Computer Science, 570–81. Cham: Springer Nature Switzerland, 2022. http://dx.doi.org/10.1007/978-3-031-15937-4_48.
Повний текст джерелаZhu, Wei, Xiaoling Wang, Yuan Ni, and Guotong Xie. "AutoTrans: Automating Transformer Design via Reinforced Architecture Search." In Natural Language Processing and Chinese Computing, 169–82. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-88480-2_14.
Повний текст джерелаRehman, Tohida, Raghubir Bose, Samiran Chattopadhyay, and Debarshi Kumar Sanyal. "Transfer Learning and Transformer Architecture for Financial Sentiment Analysis." In Algorithms for Intelligent Systems, 17–27. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-1657-1_2.
Повний текст джерелаGao, Yunhe, Mu Zhou, and Dimitris N. Metaxas. "UTNet: A Hybrid Transformer Architecture for Medical Image Segmentation." In Medical Image Computing and Computer Assisted Intervention – MICCAI 2021, 61–71. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-87199-4_6.
Повний текст джерелаLiu, Jihao, Xin Huang, Guanglu Song, Hongsheng Li, and Yu Liu. "UniNet: Unified Architecture Search with Convolution, Transformer, and MLP." In Lecture Notes in Computer Science, 33–49. Cham: Springer Nature Switzerland, 2022. http://dx.doi.org/10.1007/978-3-031-19803-8_3.
Повний текст джерелаТези доповідей конференцій з теми "Transformer Architecture"
Wu, Xiao, Ting-Zhu Huang, Liang-Jian Deng, and Tian-Jing Zhang. "A Decoder-free Transformer-like Architecture for High-efficiency Single Image Deraining." In Thirty-First International Joint Conference on Artificial Intelligence {IJCAI-22}. California: International Joint Conferences on Artificial Intelligence Organization, 2022. http://dx.doi.org/10.24963/ijcai.2022/205.
Повний текст джерелаSundfør, Ingolf, and Harald Selvær. "BIM as a Transformer of Processes." In CAADence in Architecture. Budapest University of Technology and Economics, Faculty of Architecture, 2016. http://dx.doi.org/10.3311/caadence.1690.
Повний текст джерелаZhou, Qinqin, Kekai Sheng, Xiawu Zheng, Ke Li, Xing Sun, Yonghong Tian, Jie Chen, and Rongrong Ji. "Training-free Transformer Architecture Search." In 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2022. http://dx.doi.org/10.1109/cvpr52688.2022.01062.
Повний текст джерелаZhao, Yuekai, Li Dong, Yelong Shen, Zhihua Zhang, Furu Wei, and Weizhu Chen. "Memory-Efficient Differentiable Transformer Architecture Search." In Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021. Stroudsburg, PA, USA: Association for Computational Linguistics, 2021. http://dx.doi.org/10.18653/v1/2021.findings-acl.372.
Повний текст джерелаOjeda, Cristian, Cayetano Artal, and Francisco Tejera. "Informer, an Information Organization Transformer Architecture." In 13th International Conference on Agents and Artificial Intelligence. SCITEPRESS - Science and Technology Publications, 2021. http://dx.doi.org/10.5220/0010372703810389.
Повний текст джерелаCosta, Gabriel Sousa Silva, Anselmo C. Paiva, Geraldo Braz Júnior, and Marco Melo Ferreira. "COVID-19 automatic diagnosis with CT images using the novel Transformer architecture." In Simpósio Brasileiro de Computação Aplicada à Saúde. Sociedade Brasileira de Computação - SBC, 2021. http://dx.doi.org/10.5753/sbcas.2021.16073.
Повний текст джерелаChoukroun, Yoni, and Lior Wolf. "Geometric Transformer for End-to-End Molecule Properties Prediction." In Thirty-First International Joint Conference on Artificial Intelligence {IJCAI-22}. California: International Joint Conferences on Artificial Intelligence Organization, 2022. http://dx.doi.org/10.24963/ijcai.2022/401.
Повний текст джерелаFeng, Ben, Dayiheng Liu, and Yanan Sun. "Evolving transformer architecture for neural machine translation." In GECCO '21: Genetic and Evolutionary Computation Conference. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3449726.3459441.
Повний текст джерелаRao, Pritam, Ashutosh Naik, Chirag Rana, and Sunil Ghane. "Segmentation of Nuclei using Transformer based Architecture." In 2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT). IEEE, 2022. http://dx.doi.org/10.1109/icccnt54827.2022.9984414.
Повний текст джерелаGonzalez, M. C., P. Alou, O. Garcia, J. A. Oliver, J. A. Cobos, and H. Visairo. "DC-DC transformer multiphase converter with transformer coupling for two-stage architecture." In 2010 IEEE Applied Power Electronics Conference and Exposition - APEC 2010. IEEE, 2010. http://dx.doi.org/10.1109/apec.2010.5433579.
Повний текст джерелаЗвіти організацій з теми "Transformer Architecture"
Wu, An-Yeu, and K. J. Liu. Algorithm-Based Low-Power Transform Coding Architectures. Part 2. Logarithmic Complexity, Unified Architecture, and Finite-Precision Analysis. Fort Belvoir, VA: Defense Technical Information Center, January 1995. http://dx.doi.org/10.21236/ada445617.
Повний текст джерелаWu, An-Yeu, and K. J. Liu. Algorithm-Based Low-Power Transform Coding Architectures. Part 1. The Multirate Approach. Fort Belvoir, VA: Defense Technical Information Center, January 1995. http://dx.doi.org/10.21236/ada445610.
Повний текст джерелаUnzeta, Bruno Bueno, Jan de Boer, Ruben Delvaeye, Bertrand Deroisy, Marc Fontoynont, Daniel Neves Pimenta, Per Reinhold, Sophie Stoffer, and Robert Weitlaner. Review of lighting and daylighting control systems. IEA SHC Task 61, February 2021. http://dx.doi.org/10.18777/ieashc-task61-2021-0003.
Повний текст джерелаHovakimyan, Naira, Hunmin Kim, Wenbin Wan, and Chuyuan Tao. Safe Operation of Connected Vehicles in Complex and Unforeseen Environments. Illinois Center for Transportation, August 2022. http://dx.doi.org/10.36501/0197-9191/22-016.
Повний текст джерелаDubcovsky, Jorge, Tzion Fahima, and Ann Blechl. Molecular characterization and deployment of the high-temperature adult plant stripe rust resistance gene Yr36 from wheat. United States Department of Agriculture, November 2013. http://dx.doi.org/10.32747/2013.7699860.bard.
Повний текст джерелаKapulnik, Yoram, Maria J. Harrison, Hinanit Koltai, and Joseph Hershenhorn. Targeting of Strigolacatones Associated Pathways for Conferring Orobanche Resistant Traits in Tomato and Medicago. United States Department of Agriculture, July 2011. http://dx.doi.org/10.32747/2011.7593399.bard.
Повний текст джерела