Academic literature on the topic 'Inverted Residual'
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Journal articles on the topic "Inverted Residual"
Zhang, Feng, Xiaoyan Qian, Lei Han, and Yi Shen. "Inverted Residual Siamese Visual Tracking With Feature Crossing Network." IEEE Access 9 (2021): 27158–66. http://dx.doi.org/10.1109/access.2021.3056194.
Full textGIAMPAOLO, S. M., F. ILLUMINATI, A. DI LISI, and G. MAZZARELLA. "MASSIVE QUANTUM MEMORIES BY PERIODICALLY INVERTED DYNAMIC EVOLUTIONS." International Journal of Quantum Information 04, no. 03 (June 2006): 507–17. http://dx.doi.org/10.1142/s0219749906001955.
Full textKaneko, Hiroshi, Hiroshi Kitoh, Akiko Kitamura, Kenta Sawamura, and Tadashi Hattori. "Docking phenomenon and subsequent acetabular development after gradual reduction using overhead traction for developmental dysplasia of the hip over six months of age." Journal of Children's Orthopaedics 15, no. 6 (December 1, 2021): 554–63. http://dx.doi.org/10.1302/1863-2548.15.210143.
Full textZhang, Tianyu, Cuiping Shi, Diling Liao, and Liguo Wang. "Deep Spectral Spatial Inverted Residual Network for Hyperspectral Image Classification." Remote Sensing 13, no. 21 (November 7, 2021): 4472. http://dx.doi.org/10.3390/rs13214472.
Full textAde, Ogunde Adebisi, Oseghale Osezuwa Innocent, Olayode Fatoki, and Laoye Victoria Eshomomoh. "Modified Extended Inverted Weibull Distribution with Application to Neck Cancer Data." Journal of Mathematics Research 14, no. 2 (March 24, 2022): 39. http://dx.doi.org/10.5539/jmr.v14n2p39.
Full textWang, Zhikai, Satish C. Singh, and Mark Noble. "True-amplitude versus trace-normalized full waveform inversion." Geophysical Journal International 220, no. 2 (November 26, 2019): 1421–35. http://dx.doi.org/10.1093/gji/ggz532.
Full textYavuz Solmaz, Murat. "Residual Stress Analysis of Steel Fibre Reinforced Composite Inverted-Tooth Chains." Materials Testing 54, no. 10 (October 2012): 694–99. http://dx.doi.org/10.3139/120.110381.
Full textLiu Wanjun, 刘万军, 高明月 Gao Mingyue, 曲海成 Qu Haicheng, and 刘腊梅 Liu Lamei. "Light-Weight Multi-Object Detection Network Based on Inverted Residual Structure." Laser & Optoelectronics Progress 56, no. 22 (2019): 221003. http://dx.doi.org/10.3788/lop56.221003.
Full textBasavannaiah, Sphoorthi. "Tricky nasal mass from meek polyp to intricate papilloma: A diagnostic dilemma." IP Journal of Otorhinolaryngology and Allied Science 4, no. 3 (November 15, 2021): 115–18. http://dx.doi.org/10.18231/j.ijoas.2021.022.
Full textChaudhary, Arun Kumar, and Laxmi Prasad Sapkota. "New modified Inverted Weibull Distribution: Properties and Applications to COVID-19 Dataset of Nepal." Pravaha 27, no. 1 (December 31, 2021): 1–12. http://dx.doi.org/10.3126/pravaha.v27i1.50603.
Full textDissertations / Theses on the topic "Inverted Residual"
Viles, Weston D. "Roller-Coaster Failure Rates and Mean Residual Life Functions." Fogler Library, University of Maine, 2008. http://www.library.umaine.edu/theses/pdf/VilesWD2008.pdf.
Full textIracheta-Cabrera, Omar Adrian. "A holistic inverse approach on depth-sensing indentation characterisation and its application for predicting residual stresses in multi-phase inertia friction welds." Thesis, University of Nottingham, 2017. http://eprints.nottingham.ac.uk/44781/.
Full textUriarte, Sabín Leticia. "Inverse Heat Conduction problem of the Quenching a Rotary Cylinder by Multiple Water Impinging Jets." Thesis, Högskolan i Gävle, Avdelningen för byggnadsteknik, energisystem och miljövetenskap, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-36529.
Full textAlamri, Yosef Abdulrahman. "THREE ESSAYS ON SAUDI ARABIA AGRICULTURAL MARKETS." UKnowledge, 2019. https://uknowledge.uky.edu/agecon_etds/79.
Full textBritez, Diego. "Modélisation d'un processus de mise en forme intégrant l’interaction entre procédés dans le comportement du matériau." Thesis, Bordeaux, 2022. http://www.theses.fr/2022BORD0219.
Full textThe current industrial context requires the optimization of production resources, particularly raw materials and energy consumption. This commitment does not only meet the criteria of competitiveness related to production costs but also to the environmental impact of the overall manufacturing process. To solve this problem, is required a mode to define optimization strategies through a complete forming process during a mechanical part manufacturing.Most behavior laws used for metals, dedicated to perform simulations of forming and machining processes are characterized by an isotropic behavior. These models are effective in predicting the behavior under proportional loading, but by definition cannot consider the anisotropy developed during work hardening. This limitation makes it impossible to take to consider the interaction effects between the different stages of the manufacturing process. This work goes through the phenomenological behavior laws capable of modeling this phenomenon, in order to obtain an accurate model of the overall process. Knowing that the modeling of each process stage requires a solver and specific definitions, a methodology as well as numerical tools necessary to manage the hardening variables along the process have been developed. This methodology allows a traceability of the values of hardening variables throughout the simulation of the process, dividing the global simulation, admitting the use of different solvers or software.This work explores the profile estimation obtained with destructive residual stresses measurement methods in order to compare simulation results with experiments. A new methodology using inverse analysis is developed and implemented. From numerical generated data, the new method is applied and compared with two destructive reference methods. The results in this application show, a decrease in both the error and the uncertainty level
Ferreira, Anderson Moura. "Avaliação de proposições matemáticas para interpretação do comportamento de solos residuais não saturados." Universidade do Estado do Rio de Janeiro, 2010. http://www.bdtd.uerj.br/tde_busca/arquivo.php?codArquivo=2485.
Full textIn the last decades, theories have been formulated to interpret the behavior of unsaturated soils and found to be consistent with the experimental response. Besides, several techniques for field and laboratory testing have been developed, as well. However, the experimental determination of unsaturated soil parameters is costly, time-consuming, requires particular test equipments and experienced technicians. As a result, these theories application are limited to academic researches and are barely used in engineering practice. To overcome this issue, several researchers proposed equations to mathematically represent the experimental behavior unsaturated soils. These propositions are based on physical indexes, soil characterization, and current laboratory tests or simply curve fitting. The relationship of soil-water content and matric suction, conventionally referred to as the soil-water characteristic curve (SWCC) is also useful tool in the prediction of the engineering behavior of unsaturated soils. There are many equations to mathematically represent SWCC. Some are based on the assumption that its shape is directly related to the pore distribution, and, therefore, the grain size distribution. In these propositions the parameters are calibrated by curve adjustment of the experimental data. Others assume that the curve can be directly estimated from physical properties of soils. These proposals are simple and convenient for practical use, but are substantially incorrect since they disregard the influence of moisture content, stress level, soil structure and mineralogy. As a result, most of them have limited success depending on soil types. Some attempts have also been made to predict the variation of the shear strength with respect to matric suction. These procedures use SWCC as a tool either directly or indirectly along with the saturated strength parameters c and . This work discusses the applicability of three SWCC equations (Gardner, 1958; van Genuchten, 1980; and Fredlund and Xing, 1994) for twenty four residual soils from Brazil. The suitability of the normalized soil-water characteristic curve, proposed by Camapum de Carvalho and Leroueil (2004), was also investigated. Models parameters were determined by curve fitting, using inverse problem techniques; two optimization methods were used: Genetic Algorithm (GA) and Levenberq-Marquardt method. Several parameters that influence the SWCC behavior are discussed, as well. The relationship between matric suction and shear strength was evaluated by curve fitting using the equations proposed by Öberg and Sällfors (1995, 1997), Vanapalli et al., (1996), Vilar (2007) and Futai (2002); eight experimental results were analyzed. Several parameters that influence the SWCC behavior and the unsaturated shear strength are discussed, as well.
Shivashankar, Nithin. "Design and Analysis of Modular Architectures for an RNS to Mixed Radix Conversion Multi-processor." University of Cincinnati / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1396531505.
Full textNilsson, Martin. "Fast Numerical Techniques for Electromagnetic Problems in Frequency Domain." Doctoral thesis, Uppsala : Acta Universitatis Upsaliensis : Univ.-bibl. [distributör], 2003. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-3884.
Full textBarrat-Charlaix, Pierre. "Comprendre et améliorer les modèles statistiques de séquences de protéines." Electronic Thesis or Diss., Sorbonne université, 2018. http://www.theses.fr/2018SORUS378.
Full textIn the last decades, progress in experimental techniques have given rise to a vast increase in the number of known DNA and protein sequences. This has prompted the development of various statistical methods in order to make sense of this massive amount of data. Among those are pairwise co-evolutionary methods, using ideas coming from statistical physics to construct a global model for protein sequence variability. These methods have proven to be very effective at extracting relevant information from sequences, such as structural contacts or effects of mutations. While co-evolutionary models are for the moment used as predictive tools, their success calls for a better understanding of they functioning. In this thesis, we propose developments on existing methods while also asking the question of how and why they work. We first focus on the ability of the so-called Direct Coupling Analysis (DCA) to reproduce statistical patterns found in sequences in a protein family. We then discuss the possibility to include other types of information such as mutational effects in this method, and then potential corrections for the phylogenetic biases present in available data. Finally, considerations about limitations of current co-evolutionary models are presented, along with suggestions on how to overcome them
Capron, Adélie. "Towards the predictive FE analysis of a metal/composite booster casing’s thermomechanical integrity." Doctoral thesis, Universite Libre de Bruxelles, 2020. https://dipot.ulb.ac.be/dspace/bitstream/2013/314767/5/contratAC.pdf.
Full textDoctorat en Sciences de l'ingénieur et technologie
info:eu-repo/semantics/nonPublished
Books on the topic "Inverted Residual"
Baldi, Antonio, Sharlotte L. B. Kramer, Fabrice Pierron, John Considine, Sven Bossuyt, and Johan Hoefnagels, eds. Residual Stress, Thermomechanics & Infrared Imaging and Inverse Problems, Volume 6. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-30098-2.
Full textQuinn, Simon, and Xavier Balandraud, eds. Residual Stress, Thermomechanics & Infrared Imaging, Hybrid Techniques and Inverse Problems, Volume 9. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-42255-8.
Full textBaldi, Antonio, Simon Quinn, Xavier Balandraud, Janice M. Dulieu-Barton, and Sven Bossuyt, eds. Residual Stress, Thermomechanics & Infrared Imaging, Hybrid Techniques and Inverse Problems, Volume 7. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-95074-7.
Full textBossuyt, Sven, Gary Schajer, and Alberto Carpinteri, eds. Residual Stress, Thermomechanics & Infrared Imaging, Hybrid Techniques and Inverse Problems, Volume 9. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-21765-9.
Full textBaldi, Antonio, John M. Considine, Simon Quinn, and Xavier Balandraud, eds. Residual Stress, Thermomechanics & Infrared Imaging, Hybrid Techniques and Inverse Problems, Volume 8. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-62899-8.
Full textRossi, Marco, Marco Sasso, Nathanael Connesson, Raman Singh, Adrian DeWald, David Backman, and Paul Gloeckner, eds. Residual Stress, Thermomechanics & Infrared Imaging, Hybrid Techniques and Inverse Problems, Volume 8. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-00876-9.
Full textQuinn, Simon, and Xavier Balandraud. Residual Stress, Thermomechanics & Infrared Imaging, Hybrid Techniques and Inverse Problems, Volume 9. Springer, 2018.
Find full textQuinn, Simon, and Xavier Balandraud. Residual Stress, Thermomechanics & Infrared Imaging, Hybrid Techniques and Inverse Problems, Volume 9: Proceedings of the 2016 Annual Conference on ... Society for Experimental Mechanics Series). Springer, 2016.
Find full textSmith, Martin Cruz, and Xavier Balandraud. Residual Stress, Thermomechanics and Infrared Imaging, Hybrid Techniques and Inverse Problems, Volume 9: Proceedings of the 2016 Annual Conference on Experimental and Applied Mechanics . Springer London, Limited, 2016.
Find full textSpringer. Residual Stress, Thermomechanics and Infrared Imaging, Hybrid Techniques and Inverse Problems Vol. 8. Springer London, Limited, 2013.
Find full textBook chapters on the topic "Inverted Residual"
Li, Yuancheng, Yufei Bao, Shaofa Shang, and Mei Wang. "Face Recognition Based on Inverted Residual Network in Complex Environment of Mine." In Communications in Computer and Information Science, 287–98. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-7943-9_25.
Full textXia, Menghan, and Tien-Tsin Wong. "Deep Inverse Halftoning via Progressively Residual Learning." In Computer Vision – ACCV 2018, 523–39. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-20876-9_33.
Full textOlson, Mitchell D., Adrian T. DeWald, and Michael R. Hill. "Regularization Uncertainty in Slitting Residual Stress Measurement." In Residual Stress, Thermomechanics & Infrared Imaging and Inverse Problems, Volume 6, 1–7. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-30098-2_1.
Full textOlson, Mitchell D., Michael R. Hill, Jeremy S. Robinson, Adrian T. DeWald, and Victor Sloan. "Residual Stress Mapping with Multiple Slitting Measurements." In Residual Stress, Thermomechanics & Infrared Imaging, Hybrid Techniques and Inverse Problems, Volume 9, 319–30. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-21765-9_39.
Full textBaldi, Antonio, and Filippo Bertolino. "A Low-Cost Residual Stress Measuring Instrument." In Residual Stress, Thermomechanics & Infrared Imaging, Hybrid Techniques and Inverse Problems, Volume 9, 113–19. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-42255-8_15.
Full textYousefi, Mohammad, Xavier Balandraud, and Wael A. Samad. "Stress Determination for Granular Materials Using TSA: An Inverse Approach." In Residual Stress, Thermomechanics & Infrared Imaging and Inverse Problems, Volume 6, 111–17. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-30098-2_17.
Full textHu, Changhua, Hongdong Fan, and Zhaoqiang Wang. "Inverse Gaussian Process-Based Degradation Modeling and Residual Life Prediction." In Residual Life Prediction and Optimal Maintenance Decision for a Piece of Equipment, 99–116. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-2267-0_5.
Full textD’Elia, Christopher R., Michael R. Hill, Michael E. Stender, and Christopher W. San Marchi. "Residual Stresses at Critical Locations in Additively-Manufactured Components." In Residual Stress, Thermomechanics & Infrared Imaging and Inverse Problems, Volume 6, 49–57. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-30098-2_8.
Full textFairfax, E. J., and M. Steinzig. "A Summary of Failures Caused by Residual Stresses." In Residual Stress, Thermomechanics & Infrared Imaging, Hybrid Techniques and Inverse Problems, Volume 9, 209–14. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-21765-9_26.
Full textCasavola, C., A. Cazzato, V. Moramarco, and G. Pappalettera. "Preliminary Study on Residual Stress in FDM Parts." In Residual Stress, Thermomechanics & Infrared Imaging, Hybrid Techniques and Inverse Problems, Volume 9, 91–96. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-42255-8_12.
Full textConference papers on the topic "Inverted Residual"
Joshi, Sanket Ramesh, and Mohamed El-Sharkawy. "HBONext: HBONet with Flipped Inverted Residual." In 2021 IEEE International Conference on Design & Test of Integrated Micro & Nano-Systems (DTS). IEEE, 2021. http://dx.doi.org/10.1109/dts52014.2021.9498121.
Full textShah, Kanishk, and Khushali Deulkar. "Lightweight Apparel Classification with Residual and Inverted Residual Block based Architectures." In 2021 IEEE Cloud Summit (Cloud Summit). IEEE, 2021. http://dx.doi.org/10.1109/ieeecloudsummit52029.2021.00017.
Full textYang, Hao, Dongsheng Li, and Yiming Xu. "SAR target recognition based on inverted residual and knowledge distillation." In International Conference on Advanced Algorithms and Neural Networks (AANN 2022), edited by Rajeev Tiwari. SPIE, 2022. http://dx.doi.org/10.1117/12.2637166.
Full textOkano, Shigetaka, and Masahito Mochizuki. "Mitigation of Welding-Induced Tensile Residual Stress at Surface of Heavy Section Plate by In-Process Control Welding With Trailing Heat Sink." In ASME 2013 Pressure Vessels and Piping Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/pvp2013-98071.
Full textArakelyan, Vigen, and Yang Zhang. "Improvement of the Balancing Accuracy in Gravity Compensators Based on the Inverted Slider Crank Mechanism." In ASME 2018 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/detc2018-85361.
Full textNguyen, The, Jakkarin Iamboon, Piyanuch Nampratchayakul, Nirut Tongpan, Ye Yint Htun, and Dong Tran. "Improving Accuracy of Checkshot Time-Depth by Applying Advanced Model-Based Correction for Rig-Source Survey on a Highly Inclined Well." In IADC/SPE Asia Pacific Drilling Technology Conference. SPE, 2021. http://dx.doi.org/10.2118/201077-ms.
Full textHerbst, Brian, Steven Forrest, Steven E. Meyer, David Chng, Mark Davis, and Anthony Sances. "Vehicle Crashworthiness in Vertical Drop Tests." In ASME 2000 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2000. http://dx.doi.org/10.1115/imece2000-2606.
Full textHenke, Martin, Thomas Monz, and Manfred Aigner. "Inverted Brayton Cycle With Exhaust Gas Recirculation: A Numerical Investigation." In ASME Turbo Expo 2013: Turbine Technical Conference and Exposition. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/gt2013-94889.
Full textZhang, Zilong, and C. Steve Suh. "A Novel Nonlinear Time-Frequency Strategy for Stabilizing Inverted Pendulum Cart System." In ASME 2018 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/imece2018-86758.
Full textSandler, Mark, Andrew Howard, Menglong Zhu, Andrey Zhmoginov, and Liang-Chieh Chen. "MobileNetV2: Inverted Residuals and Linear Bottlenecks." In 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2018. http://dx.doi.org/10.1109/cvpr.2018.00474.
Full textReports on the topic "Inverted Residual"
Hughett, P. Tradeoffs between measurement residual and reconstruction error in inverse problems with prior information. Office of Scientific and Technical Information (OSTI), June 1995. http://dx.doi.org/10.2172/106621.
Full textAnderson, Gerald L., and Kalman Peleg. Precision Cropping by Remotely Sensed Prorotype Plots and Calibration in the Complex Domain. United States Department of Agriculture, December 2002. http://dx.doi.org/10.32747/2002.7585193.bard.
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