Relevant bibliographies by topics / C2f module

Contents

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

Academic literature on the topic 'C2f module'

Author: Grafiati
Published: 7 June 2025
Last updated: 16 July 2025

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Journal articles on the topic "C2f module"

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Qu, Yuanhao, and Fengshou Zhang. "MGL-YOLO: A Lightweight Barcode Target Detection Algorithm." Sensors 24, no. 23 (2024): 7590. http://dx.doi.org/10.3390/s24237590.

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Due to the critical importance of one-dimensional barcode detection in logistics, retail, and manufacturing, which has become a key issue affecting operational efficiency, researchers have shown increasing interest in this area. However, deploying deep convolutional neural networks on embedded and some edge devices is very challenging due to limited storage space and computational resources. To address this issue, this paper proposes MGL-YOLO, a lightweight one-dimensional barcode detection network based on an improved YOLOv8, which aims to achieve a high detection accuracy at low computationa
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Hu, Qiang, and Yunhua Zhang. "GCS-YOLO: A Lightweight Detection Algorithm for Grape Leaf Diseases Based on Improved YOLOv8." Applied Sciences 15, no. 7 (2025): 3910. https://doi.org/10.3390/app15073910.

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In view of the issues of high complexity, significant computational resource consumption, and slow inference speed in the detection algorithm for grape leaf diseases, this paper proposes GCS-YOLO, a lightweight detection algorithm based on an improved YOLOv8. The lightweight feature extraction module C2f-GR is proposed to replace the C2f module. C2f-GR achieves lightweight design while effectively capturing detailed features of multi-scale information by replacing partial convolutions in C2f with Ghost Modules. Additionally, RepConv is incorporated into C2f-GR to avoid the complexity of multi-
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Wang, Chao, Rongdi Wang, Ziwei Wu, Zetao Bian, and Tao Huang. "YOLO-UIR: A Lightweight and Accurate Infrared Object Detection Network Using UAV Platforms." Drones 9, no. 7 (2025): 479. https://doi.org/10.3390/drones9070479.

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Within the field of remote sensing, Unmanned Aerial Vehicle (UAV) infrared object detection plays a pivotal role, especially in complex environments. However, existing methods face challenges such as insufficient accuracy or low computational efficiency, particularly in the detection of small objects. This paper proposes a lightweight and accurate UAV infrared object detection model, YOLO-UIR, for small object detection from a UAV perspective. The model is based on the YOLO architecture and mainly includes the Efficient C2f module, lightweight spatial perception (LSP) module, and bidirectional
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Zhang, Haozhi, Chang Yuan, Ke Wang, Yudi Wang, Qinghua Liu, and Jinlong Shi. "Improved YOLOv8-Based Obstacle Detection Algorithm for Waterborne Transportation." Journal of Physics: Conference Series 2999, no. 1 (2025): 012008. https://doi.org/10.1088/1742-6596/2999/1/012008.

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Abstract Waterborne obstacle detection plays a critical role in the environmental perception of intelligent cargo ship transportation, directly influencing both the efficiency and safety of the transportation process. However, current approaches still encounter challenges regarding detection accuracy, real-time performance, and model lightweighting. So this paper proposes a novel lightweight waterborne obstacle detection algorithm based on an improved YOLOv8 framework. The algorithm integrates an advanced Multi-Branch Fusion (MBF) and Attentional Feature (AF) module with the Cross Stage Featur
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Jiang, Wenbo, Lusong Yang, and Yun Bu. "Research on the Identification and Classification of Marine Debris Based on Improved YOLOv8." Journal of Marine Science and Engineering 12, no. 10 (2024): 1748. http://dx.doi.org/10.3390/jmse12101748.

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Autonomous underwater vehicles equipped with target recognition algorithms are a primary means of removing marine debris. However, due to poor underwater visibility, light scattering by suspended particles, and the coexistence of organisms and debris, current methods have problems such as poor recognition and classification effects, slow recognition speed, and weak generalization ability. In response to these problems, this article proposes a marine debris identification and classification algorithm based on improved YOLOv8. The algorithm incorporates the CloFormer module, a context-aware loca
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Bao, Junjie, Shihua Li, Guanglong Wang, Jianmin Xiong, and Sailai Li. "Improved YOLOV8 Network and Application in Safety Helmet Detection." Journal of Physics: Conference Series 2632, no. 1 (2023): 012012. http://dx.doi.org/10.1088/1742-6596/2632/1/012012.

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Abstract This paper proposes a research method to enhance the accuracy and real-time capability of helmet detection in complex industrial environments, aiming to address the engineering challenges of poor robustness and significant occurrences of both false positives and false negatives in existing detection methods. In this study, the C2F (faster version of CSP Bottleneck with two convolutions) module and FE (FasterNet with EMA) module are integrated into the network architecture of YOLOV8 to form a new attention mechanism module called C2F-FE. This module enhances the model’s perception of s
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Chen, Chaowen, Ying Zang, Jinkang Jiao, et al. "An Efficient Group Convolution and Feature Fusion Method for Weed Detection." Agriculture 15, no. 1 (2024): 37. https://doi.org/10.3390/agriculture15010037.

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Weed detection is a crucial step in achieving intelligent weeding for vegetables. Currently, research on vegetable weed detection technology is relatively limited, and existing detection methods still face challenges due to complex natural conditions, resulting in low detection accuracy and efficiency. This paper proposes the YOLOv8-EGC-Fusion (YEF) model, an enhancement based on the YOLOv8 model, to address these challenges. This model introduces plug-and-play modules: (1) The Efficient Group Convolution (EGC) module leverages convolution kernels of various sizes combined with group convoluti
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Li, Zhichen, Zhao Qin, Weiping Luo, and Xiujun Ling. "Gasoline Engine Misfire Fault Diagnosis Method Based on Improved YOLOv8." Electronics 13, no. 14 (2024): 2688. http://dx.doi.org/10.3390/electronics13142688.

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In order to realize the online diagnosis and prediction of gasoline engine fire faults, this paper proposes an improved misfire fault detection algorithm model based on YOLOv8 for sound signals of gasoline engines. The improvement involves substituting a C2f module in the YOLOv8 backbone network by a BiFormer attention module and another C2f module substituted by a CBAM module that combines channel and spatial attention mechanisms which enhance the neural network’s capacity to extract the complex features. The normal and misfire sound signals of a gasoline engine are processed by wavelet trans
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Yang, Ru-Xiao, Yan-Ru Lee, Fu-Shin Lee, Zhenying Liang, and Yang Liu. "An Improved YOLOv5 Algorithm for Bamboo Strip Defect Detection Based on the Ghost Module." Forests 15, no. 9 (2024): 1480. http://dx.doi.org/10.3390/f15091480.

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Detecting surface defects in bamboo strips is essential for producing Asian bamboo products. Currently, the detection of surface defects in bamboo strips mainly relies on manual labor. The labor intensity is high, and the detection efficiency is low. Improving the speed and accuracy of identifying bamboo strip defects is crucial in enhancing enterprises’ production efficiency. Hence, this research designs a lightweight YOLOv5s neural network algorithm using the Ghost module to identify surface defects of bamboo strips. The research introduces an attention mechanism CA module to improve the rec
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Peng, Zirui, Chen Zhang, and Wei Wei. "Leather Defect Detection Based on Improved YOLOv8 Model." Applied Sciences 14, no. 24 (2024): 11566. https://doi.org/10.3390/app142411566.

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Addressing the low accuracy and slow detection speed experienced by algorithms based on deep learning for a leather defect detection task, a lightweight and improved leather defect detection algorithm, dubbed YOLOv8-AGE, has been proposed based on YOLOv8n. In the backbone network, the EMA attention mechanism and C2f module have been fused into the C2f-EMA module, achieving performance enhancement with lower computational overhead. In the neck, the AFPN structure has been combined with the VoV-GSCSP module constructed using GSConv, to reduce the number of parameters while enhancing the model’s
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Dissertations / Theses on the topic "C2f module"

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Anderson, Warwick Wyndham. "An Investigation of Dividend Signalling on the New Zealand Stock Exchange in the 1990s and of Several New Tools Employable in such an Investigation." Thesis, University of Canterbury. Accountancy, Finance and Information Systems, 2006. http://hdl.handle.net/10092/861.

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This thesis investigates the nature of joint dividend-and-earnings signalling in announcements to the New Zealand Stock Exchange in the 1990s. Initially the Market Model is used to compute expected returns, and the abnormal returns derived from these are subjected to restricted least squares regressions to separate out a putative dividend signal from the concurrent earnings signal. But with the Market Model, the zero-value company returns associated with an absence of trading in thinly traded stocks are over-represented in returns distributions leading to problems of bias. New models are devel
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Buatois, Vanessa. "CX3CR1, et le GM-CSF, sont requis dans le développement de l'asthme allergique dans un modèle murin." Nice, 2005. http://www.theses.fr/2005NICE4035.

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Hott, Sara Cristina. "O sistema noradrenérgico do núcleo leito da estria terminal modula a resposta emocional condicionada contextual: envolvimento dos receptores CRF1 e da via NMDA/NO." Universidade de São Paulo, 2015. http://www.teses.usp.br/teses/disponiveis/17/17133/tde-12082015-083631/.

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O núcleo leito da estria terminal (NLET) é uma estrutura límbica envolvida na expressão de respostas relacionadas à ansiedade. O NLET é um dos principais alvos de inervação noradrenérgica no sistema nervoso central e evidências sugerem uma ativação desta neurotransmissão em situações aversivas, em particular aquelas associadas ao medo condicionado. Assim, o presente estudo investigou o envolvimento do sistema noradrenérgico do NLET na modulação de respostas comportamentais e autonômicas induzidas pelo medo condicionado contextual (MCC) em ratos. Animais condicionados apresentaram resposta comp
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Driessens, Grégory. "Développement d'un modèle de vaccination anti-tumorale thérapeutique associant cellules dendritiques et cellules tumorales sécrétrices de GM-CSF." Doctoral thesis, Universite Libre de Bruxelles, 2006. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/210822.

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Müller, Werner, and Michaela Nettekoven. "A Panel Data Analysis: Research & Development Spillover." Department of Statistics and Mathematics, WU Vienna University of Economics and Business, 1998. http://epub.wu.ac.at/620/1/document.pdf.

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Panel data analysis has become an important tool in applied econometrics and the respective statistical techniques are well described in several recent textbooks. However, for an analyst using these methods there remains the task of choosing a reasonable model for the behavior of the panel data. Of special importance is the choice between so-called fixed and random coefficient models. This choice can have a crucial effect on the interpretation of the analyzed phenomenon, which is demonstrated by an application on research and development spillover. (author's abstract)<br>Series: Forschungsberi
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FARIAS, JUNIOR Ivaldir Honório. "C2M – a communication maturity model for distributed software development." Universidade Federal de Pernambuco, 2014. https://repositorio.ufpe.br/handle/123456789/12140.

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Submitted by Nayara Passos (nayara.passos@ufpe.br) on 2015-03-12T13:40:04Z No. of bitstreams: 2 TESE Ivaldir Honório Junior.pdf: 7117978 bytes, checksum: e0486b82f2f59b6cca275a9dd360589d (MD5) license_rdf: 1232 bytes, checksum: 66e71c371cc565284e70f40736c94386 (MD5)<br>Made available in DSpace on 2015-03-12T13:40:05Z (GMT). No. of bitstreams: 2 TESE Ivaldir Honório Junior.pdf: 7117978 bytes, checksum: e0486b82f2f59b6cca275a9dd360589d (MD5) license_rdf: 1232 bytes, checksum: 66e71c371cc565284e70f40736c94386 (MD5) Previous issue date: 2014<br>É comum hoje em dia que equipes de projeto es
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Miglioretti, Federico. "Développement d'un modèle avancé multi-champs pour l'étude de profil d'aile intelligent." Thesis, Paris 10, 2013. http://www.theses.fr/2013PA100054/document.

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Dans le domaine de l’aéronautique, l’acception ‘shape morphing’ a été utilisée pour identifier ces avions qui subissent certaine modifications géométrique pour améliorer leur adaptation au différents profils de missions. Différemment de la solution classique, celle ‘shape morphing’ exige : une distribution d’actionnement avec une densité de puissance élevée, une mécanisation des structures, des revêtements souples, et le développement des loi de contrôle. Dans ce scénario, un modèle capable reconnaitre l'insertion de capteur et d'actionneur de nouvelle génération, et capable de réduire au mini
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Gebauer, Corinna Mirjam. "Ein mathematisches Kompartimentmodell der murinen Erythro- und Granulopoese unter simultaner Gabe von Erythropoietin und G-CSF." Doctoral thesis, Universitätsbibliothek Leipzig, 2011. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-66715.

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In dieser Arbeit wird das in vivo-Verhalten der murinen Erythro- und Granulopoese, einschließlich der hämatopoetischer Stammzellen, unter dem Einfluß von exogen appliziertem G-CSF und Erythropoietin mit Hilfe eines mathematischen Kompartimentmodelles untersucht. Der Schwerpunkt liegt auf der Identifizierung von linienübergreifenden Wachstumsfaktoreffekten. Zu diesem Zweck werden experimentelle Daten mit den Modellsimulationen unter Berücksichtigung verschiedener Modellannahmen verglichen. Die experimentellen Daten für die Modellentwicklung stammen zum einem kleinen Teil aus der Literatur, haup
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Isidoro, Catarina Matos. "Qualidade e triagem de Manchester : Estudo de caso Hospital CUF Descobertas." Master's thesis, Universidade de Évora, 2008. http://hdl.handle.net/10174/18683.

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A saúde em Portugal encontra-se no caminho da mudança, rumo à excelência, pois questiona-se o sistema, a sua estrutura, os seus processos e os resultados. Uma das condições que mais influencia a competitividade entre instituições da saúde é a qualidade. Sendo a sociedade cada vez mais exigente, medi-la e avalia-la é um imperativo da época actual. O presente estudo teve como objectivo, contribuir para a realização de um diagnóstico de um processo de melhoria implementado num hospital privado de Lisboa - Hospital CUF Descobertas (HCD), no Serviço de Atendimento Permanente (SAP), à luz dos princí
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Cruz, Camila Cristina da. "Morfologia, integra??o e modularidade do aparato cef?lico de defesa em soldados de Syntermitinae (Blattaria: Isoptera)." UFVJM, 2017. http://acervo.ufvjm.edu.br/jspui/handle/1/1743.

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Submitted by Jos? Henrique Henrique (jose.neves@ufvjm.edu.br) on 2018-07-04T22:38:12Z No. of bitstreams: 2 license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) camila_cristina_cruz.pdf: 3910032 bytes, checksum: 2be8babcbf5d1152165e4b83109c4356 (MD5)<br>Approved for entry into archive by Rodrigo Martins Cruz (rodrigo.cruz@ufvjm.edu.br) on 2018-07-18T13:11:29Z (GMT) No. of bitstreams: 2 license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) camila_cristina_cruz.pdf: 3910032 bytes, checksum: 2be8babcbf5d1152165e4b83109c4356 (MD5)<br>Made available in DSpace
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Books on the topic "C2f module"

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W, Lo Andrew, and MacKinlay Archie Craig 1955-, eds. The econometrics of financial markets. Princeton University Press, 1997.

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Freed, Alan David. A viscoplastic model with application of LiF-22%CaF₂ hypereutectic salt. National Aeronautics and Space Administration, 1990.

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Ross, Kenton E., and Robert M. Swanson. Module 2, Chpt 12-19, C21 Acctg. Thomson South-Western, 1999.

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Hanson, Kenton E. Ross, and Robert M. Swanson. Wrkng Pap Module 2 Ch 11-18, C21 Acctg. Thomson South-Western, 1999.

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Disordered Systems and Biological Models (Cif Series, Vol 14). World Scientific Pub Co Inc, 1990.

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ExamREVIEW. CPF Certified Professional Forecaster Exams All-in-one ExamFOCUS Study Notes & Review Questions 2015: Covering module 1, 2 & 3. CreateSpace Independent Publishing Platform, 2014.

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Cheng, Russell. Embedded Distributions: Two Numerical Examples. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198505044.003.0007.

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This chapter illustrates use of (i) the score statistic and (ii) a goodness-of-fit statistic to test if an embedded model provides an adequate fit, in the latter case with critical values calculated by bootstrapping. Also illustrated is (iii) calculation of parameter confidence intervals and CDF confidence bands using both asymptotic theory and bootstrapping, and (iv) use of profile log-likelihood plots to display the form of the maximized log-likelihood and scatterplots for checking convergence to normality of estimated parameter distributions. Two different data sets are analysed. In the fir
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Schulkin, Jay. Evolution and Diversification of Function of an Information Molecule. Oxford University Press, 2017. http://dx.doi.org/10.1093/acprof:oso/9780198793694.003.0002.

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Chapter 2 begins with a depiction of the evolutionary origins of CRF in living things. CRF appears to date back hundreds of millions of years. It is found in diverse invertebrates, including flies and bees. Invertebrates’ brains look nothing like those of vertebrates except for the diverse information molecules that underlie both brain systems. There is no clear anatomical organ like the HPA axis in invertebrates, yet information molecules, including CRF, are just as important to invertebrate functioning as they are to vertebrates. CRF in invertebrates is linked to basic regulatory functions s
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Avellaneda Bautista, Campo Alcides, and Sara Beatriz Avellaneda Rojas. Estudio de la contabilidad por ciclos de operaciones financieras Modelo: Teórico, Pedagógico y Curricular. Universidad Libre Sede Principal, 2020. http://dx.doi.org/10.18041/978-958-5578-39-5.

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Un año después de haberse instaurado el Modelo COF en el Programa de Contaduría Pública de la Universidad Libre y habiendo publicado la 1ª Edición de esta obra en el año 2008, su desarrollo en las aulas indicó, entre otros elementos necesarios que fueron identificados en los procesos de autoevaluación permanente, que el modelo debía robustecerse incluyendo la estrategia de proyectos de aula. Fue necesario entonces, preparar y llevar a cabo la Segunda edición de la obra, la cual fue publicada en 2012 robustecida con las experiencias obtenidas durante los cuatro años que le antecedieron. Ahora,
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Chappell, Michael, Bradley MacIntosh, and Thomas Okell. Introduction. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198793816.003.0001.

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This chapter details the widely accepted standard approach to arterial spin labeling (ASL) acquisition and the associated analysis needed to extract an image of perfusion in the brain, also known as the cerebral blood flow (CBF). Starting with pairs of images with and without labeling, a perfusion-weighted image can be generated. With the addition of a calibration image, this can be converted to an absolute measure of perfusion. Following the recommendations of the community for ASL acquisition, this chapter outlines the main steps of subtraction, kinetic model inversion, and calibration requi
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Book chapters on the topic "C2f module"

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Paranjape, Vishal, Neelu Nihalani, and Nishchol Mishra. "Enhancing Software Reliability by Evaluating Prediction Accuracy of CBF Algorithm Using Machine Learning." In Multi-Criteria Decision Models in Software Reliability. CRC Press, 2022. http://dx.doi.org/10.1201/9780367816414-1.

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Mehtätalo, Lauri, Annika Kangas, Jeannette Eggers, et al. "Forest Planning and Continuous Cover Forestry." In Managing Forest Ecosystems. Springer Nature Switzerland, 2024. https://doi.org/10.1007/978-3-031-70484-0_5.

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Abstract Forest planning requires unbiased and sufficient information on current forest resources, their anticipated dynamics under different management scenarios, and the objectives of the decision maker. Forest planning systems need to be adapted to improve their potential to deal with continuous cover forestry (CCF). The current forest planning systems and associated models can be adapted to group systems by treating each group as a separate calculation unit. In the selection system, currently available growth models may not realistically describe the growth reaction of trees, which causes additional uncertainty in forest-planning calculations. Furthermore, field-data collection based on airborne laser scanning alone is not sufficient for planning of CCF, and additional field measurements are needed. Tree-level measurements by drones open interesting opportunities for forest planning, which might be especially useful under CCF.
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Liu, Kai. "Constructing System Based on C2C E-Commerce Website Credit Evaluation Model." In Application of Intelligent Systems in Multi-modal Information Analytics. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-05237-8_8.

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Kersebaum, K. C. "Special Features of the HERMES Model and Additional Procedures for Parameterization, Calibration, Validation, and Applications." In Methods of Introducing System Models into Agricultural Research. American Society of Agronomy and Soil Science Society of America, 2015. http://dx.doi.org/10.2134/advagricsystmodel2.c2.

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Torres-Romero, J. C., María Elizbeth Alvarez-Sánchez, K. Fernández-Martín, et al. "Zinc Efflux in Trichomonas vaginalis: In Silico Identification and Expression Analysis of CDF-Like Genes." In Quantitative Models for Microscopic to Macroscopic Biological Macromolecules and Tissues. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-73975-5_8.

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Bale, Gemma, Ajay Rajaram, Matthew Kewin, et al. "Multimodal Measurements of Brain Tissue Metabolism and Perfusion in a Neonatal Model of Hypoxic-Ischaemic Injury." In Advances in Experimental Medicine and Biology. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-48238-1_32.

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AbstractThis is the first multimodal study of cerebral tissue metabolism and perfusion post-hypoxic-ischaemic (HI) brain injury using broadband near-infrared spectroscopy (bNIRS), diffuse correlation spectroscopy (DCS), positron emission tomography (PET) and magnetic resonance spectroscopy (MRS). In seven piglet preclinical models of neonatal HI, we measured cerebral tissue saturation (StO2), cerebral blood flow (CBF), cerebral oxygen metabolism (CMRO2), changes in the mitochondrial oxidation state of cytochrome c oxidase (oxCCO), cerebral glucose metabolism (CMRglc) and tissue biochemistry (Lac+Thr/tNAA). At baseline, the parameters measured in the piglets that experience HI (not controls) were 64 ± 6% StO2, 35 ± 11 ml/100 g/min CBF and 2.0 ± 0.4 μmol/100 g/min CMRO2. After HI, the parameters measured were 68 ± 6% StO2, 35 ± 6 ml/100 g/min CBF, 1.3 ± 0.1 μmol/100 g/min CMRO2, 0.4 ± 0.2 Lac+Thr/tNAA and 9.5 ± 2.0 CMRglc. This study demonstrates the capacity of a multimodal set-up to interrogate the pathophysiology of HIE using a combination of optical methods, MRS, and PET.
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Oliveira, Tiago, Wilber Vélez, and Artur Portela. "Local Mesh Free Methods in Linear Elasticity and Fracture Mechanics." In Fundamental Concepts and Models for the Direct Problem. Biblioteca Central da Universidade de Brasilia, 2022. http://dx.doi.org/10.4322/978-65-86503-83-8.c23.

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Novotny, Antonio André. "A New Non-Iterative Reconstruction Method for Solving a Class of Inverse Problems." In Fundamental Concepts and Models for the Direct Problem. Biblioteca Central da Universidade de Brasilia, 2022. http://dx.doi.org/10.4322/978-65-86503-83-8.c25.

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Palechor, Erwin Ulises Lopez, Juliana C. Santos, Ramon Saleno Yure Costa Silva, et al. "Application of Roving Mass Technique Associated with Wavelet Transform to Structural Damage Detection and Localization." In Fundamental Concepts and Models for the Direct Problem. Biblioteca Central da Universidade de Brasilia, 2022. http://dx.doi.org/10.4322/978-65-86503-83-8.c22.

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Peixoto, Rodrigo G., and Alisson P. Chaves. "The Boundary Element Method for Damage Modeling." In Fundamental Concepts and Models for the Direct Problem. Biblioteca Central da Universidade de Brasilia, 2022. http://dx.doi.org/10.4322/978-65-86503-83-8.c21.

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Conference papers on the topic "C2f module"

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Ahn, Suhyun, Wonjung Park, Jihoon Cho, and Jinah Park. "Volumetric Conditioning Module to Control Pretrained Diffusion Models for 3D Medical Images." In 2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). IEEE, 2025. https://doi.org/10.1109/wacv61041.2025.00019.

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Zhang, Yiming, Zhening Xing, Yanhong Zeng, Youqing Fang, and Kai Chen. "PIA: Your Personalized Image Animator via Plug-and-Play Modules in Text-to-Image Models." In 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2024. http://dx.doi.org/10.1109/cvpr52733.2024.00740.

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Lagniez, Jean-Marie, and Emmanuel Lonca. "Leveraging Decision-DNNF Compilation for Enumerating Disjoint Partial Models." In 21st International Conference on Principles of Knowledge Representation and Reasoning {KR-2023}. International Joint Conferences on Artificial Intelligence Organization, 2024. http://dx.doi.org/10.24963/kr.2024/48.

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The All-Solution Satisfiability Problem (AllSAT) extends SAT by requiring the identification of all possible solutions for a propositional formula. In practice, enumerating all complete models is often infeasible, making the identification of partial models essential for generating a concise representation of the solution set. Deterministic Decomposable Negation Normal Form (d-DNNF) serves as a language for representation known to offer polynomial-time algorithms for model enumeration. Specifically, when a propositional formula is encoded in d-DNNF, it enables iterative model enumeration with
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Li, Yizhi, Ge Zhang, Xingwei Qu, et al. "CIF-Bench: A Chinese Instruction-Following Benchmark for Evaluating the Generalizability of Large Language Models." In Findings of the Association for Computational Linguistics ACL 2024. Association for Computational Linguistics, 2024. http://dx.doi.org/10.18653/v1/2024.findings-acl.739.

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Sun, Yujia, Geng Chen, Tao Zhou, Yi Zhang, and Nian Liu. "Context-aware Cross-level Fusion Network for Camouflaged Object Detection." 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.2021/142.

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Camouflaged object detection (COD) is a challenging task due to the low boundary contrast between the object and its surroundings. In addition, the appearance of camouflaged objects varies significantly, e.g., object size and shape, aggravating the difficulties of accurate COD. In this paper, we propose a novel Context-aware Cross-level Fusion Network (C2F-Net) to address the challenging COD task. Specifically, we propose an Attention-induced Cross-level Fusion Module (ACFM) to integrate the multi-level features with informative attention coefficients. The fused features are then fed to the pr
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Li, Hui, Aoyun Wu, Zhiyu Jiang, Fang Liu, and Mingyue Luo. "Improving Object Detection in YOLOv8n with the C2f-f Module and Multi-Scale Fusion Reconstruction." In 2024 IEEE 6th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC). IEEE, 2024. http://dx.doi.org/10.1109/imcec59810.2024.10575292.

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Kitzmiller, John T., Richard G. Anderson, Laura L. Genutis, and Dennis M. Popp. "Effects on Core Damage Frequency to Sensitivity of Instrumentation and Control Reliability." In 17th International Conference on Nuclear Engineering. ASMEDC, 2009. http://dx.doi.org/10.1115/icone17-75413.

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Core Damage Frequency (CDF) and Large Release Frequency (LRF) can be greatly affected by the application of Instrumentation and Control (I&amp;C) within the control and safety systems utilized in the operations of a nuclear power plant. It is important that the modeling of these systems be an accurate representation of the I&amp;C design to capture the effects of the I&amp;C on the operations of the nuclear power plant as far as control and safety that are needed for the effective and safe operation of power generation. Various sensitivities can be performed on I&amp;C modeling in the AP1000 P
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Lee, Yoon-Hwan, Won-Dea Jung, Su-Ki Park, and Jin-Hong Lee. "Highlights of Preliminary Level 1 PSA Results for a Research Reactor." In 2012 20th International Conference on Nuclear Engineering and the ASME 2012 Power Conference. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/icone20-power2012-55171.

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This preliminary PSA (Probabilistic Safety Assessment) was undertaken to assess the level of safety for the design of a research reactor and to evaluate whether it is probabilistically safe to operate and reliable to use. The scope of the PSA reported here is a Level 1 PSA that addresses the risks associated with core damage. It includes an evaluation of the types of accidents that could lead to core damage, and an assessment of their frequencies. After reviewing the documents and the conceptual design, 8 typical initiating events are selected regarding internal events during the normal operat
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Maskal, Alan B., and Fatih Aydogan. "Mathematical Models of Spacer Grids." In 2016 24th International Conference on Nuclear Engineering. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/icone24-60098.

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The fuel rods in Pressurized Water Reactor (PWR) and Boiling Water Reactor (BWR) cores are supported by spacer grids. Even though spacer grids add to the pressure loss in the reactor core, spacer grids have several benefits in Light Water Reactors (LWRs). Some of these benefits are: (i) increasing the turbulence at the bottom of the reactor core for better heat transfer in single phase region of the LWRs, (ii) improving the departure nucleate boiling ratio results for PWRs, and (iii) improving critical power ratio (CPR) values by increasing the thickness of film in annular flow regime in the t
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Smith, Curtis. "Representing Common-Cause Failures in the SAPHIRE Software." In ASME 2008 International Mechanical Engineering Congress and Exposition. ASMEDC, 2008. http://dx.doi.org/10.1115/imece2008-67130.

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Currently, the risk analysis software SAPHIRE has implemented a common-cause failure (CCF) module to represent standard CCF methods such as alpha-factor and multiple Greek letter approaches. However, changes to SAPHIRE are required to support the Nuclear Regulatory Commission’s 2007 “Risk Assessment Standardization Project” CCF analysis guidance for events assessment. This guidance provides an outline of how both the nominal CCF probabilities and conditional (e.g., after a redundant component has failed) CCF probabilities should be calculated. Based upon user-provided input and extending the l
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Reports on the topic "C2f module"

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Gilkey, Lindsay Noelle. Surface Temperature Mapping Models for STAR and CTF. Office of Scientific and Technical Information (OSTI), 2018. http://dx.doi.org/10.2172/1482779.

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Gamboa-Estrada, Fredy, and Jose Vicente Romero. Modelling CDS Volatility at Different Tenures: An Application for Latin-American Countries. Banco de la República de Colombia, 2022. http://dx.doi.org/10.32468/be.1199.

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Assessing the dynamics of risk premium measures and its relationship with macroeconomic fundamentals is important for both macroeconomic policymakers and market practitioners. This paper analyzes the main determinants of CDS in Latin-America at different tenures, focusing on their volatility. Using a component GARCH model, we decompose volatility between permanent and transitory components. We find that the permanent component of CDS volatility in all tenors was higher and more persistent in the global financial crisis than during the recent COVID-19 shock. JEL Classification: C22, C58, G01, G
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Villoria, Nelson B., and Jing Liu. Using continental grids to improve our understanding of global land supply responses: Implications for policy-driven land use changes in the Americas. GTAP Working Paper, 2015. http://dx.doi.org/10.21642/gtap.wp81.

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Global economic models with explicit treatment of global land markets are crucial to understanding the consequences of different policy choices on global food and environmental security. However, these models rely on parameters for which there is little econometric evidence. A fundamental parameter in these models is the land supply elasticity. We provide a novel set of land supply elasticities estimated using gridded data for the American continent, and we use them in exploring previous work on the indirect land-use effects of US ethanol policy. Our estimates provide a basis for better-inform
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Choi, A. 2013 CEF RUN - PHASE 1 DATA ANALYSIS AND MODEL VALIDATION. Office of Scientific and Technical Information (OSTI), 2014. http://dx.doi.org/10.2172/1134064.

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Salko Jr, Robert, Vineet Kumar, Belgacem Hizoum, and William Gurecky. Improvements to CTF Closure Models for Modelling of Two-Phase Flow. Office of Scientific and Technical Information (OSTI), 2020. http://dx.doi.org/10.2172/1814379.

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Benlloch, J. M. Search for particles beyond the standard model at CDF and D0. Office of Scientific and Technical Information (OSTI), 1995. http://dx.doi.org/10.2172/104704.

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Blyth, Taylor S., and Maria Avramova. Development and Implementation of CFD-Informed Models for the Advanced Subchannel Code CTF. Office of Scientific and Technical Information (OSTI), 2017. http://dx.doi.org/10.2172/1355890.

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Lockwitz, Sarah E. A Search for the Standard Model Higgs Boson in CDF II Data. Office of Scientific and Technical Information (OSTI), 2012. http://dx.doi.org/10.2172/1155774.

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She, Ruifeng, Yanfeng Ouyang, and Imad Al-Qadi. CDF Analysis and Prediction Model for Air Resistance on Platooned Freight Trucks. Illinois Center for Transportation, 2020. http://dx.doi.org/10.36501/0197-9191/20-011.

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Wysocki, Aaron J., and Robert K. Salko. Validation of CTF Droplet Entrainment and Annular/Mist Closure Models using Riso Steam/Water Experiments. Office of Scientific and Technical Information (OSTI), 2017. http://dx.doi.org/10.2172/1344994.

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