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Relevant bibliographies by topics / Improved adaptive multi threshold

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Academic literature on the topic 'Improved adaptive multi threshold'

Author: Grafiati

Published: 7 June 2025

Last updated: 16 July 2025

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Journal articles on the topic "Improved adaptive multi threshold"

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Huang, Hui Xian, Juan Gong, and Te Zhang. "Method of Adaptive Wavelet Thresholding Used in Image Denoising." Advanced Materials Research 204-210 (February 2011): 1184–87. http://dx.doi.org/10.4028/www.scientific.net/amr.204-210.1184.

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According to multi-resolution analysis of wavelet threshold denoising principle, this paper presented two improved algorithms of continuity and adaptive threshold based on hard thresholding. The soft thresholding (hyperbolic thresholding) was used in the intervals after setting two thresholds, and the isolated points were removed according to the adjacent correlation coefficient during the processing. As a result, the hard thresholding’s shortcomings were reduced. The simulation results show that improved algorithms have both better visual effect and PSNR than the traditional approaches.

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Chen, Li Na, and Chun Yu Miao. "Spectrum Detection for Cognitive Radio Based on Auto-Adaptive Threshold." Advanced Materials Research 187 (February 2011): 614–20. http://dx.doi.org/10.4028/www.scientific.net/amr.187.614.

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This paper proposed a cooperative spectrum sensing scheme based on auto-adaptive threshold in multi-user cognitive radio network, which can improve detection performance of cognitive user. According to closed-form expressions of detection probability, we compared the noncooperative scheme with the multi-user cooperative scheme, and compared the auto-adaptive threshold with fixed threshold in terms of detection probability through imitation. Result shown that the detection probability of multi-user cooperative detection is improved greatly compared to traditional noncooperative detection, and a

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Wang, Shuhai, Yijia Zhou, Fenglin Bai, Junnan Li, and Hongzhe Li. "Improved ViBe algorithm based on multi-frame combined with adaptive threshold." Journal of Physics: Conference Series 2303, no. 1 (2022): 012021. http://dx.doi.org/10.1088/1742-6596/2303/1/012021.

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Abstract For moving human target detection under video surveillance, the traditional vibe algorithm is often disturbed by environmental changes, resulting in “ghosts”, incomplete detection results and “holes” in the human body. An improved vibe algorithm based on multi frame combined with adaptive threshold is proposed. Firstly, the sample set of vibe algorithm is expanded to 24 fields to reduce the possibility of pixel misclassification; Secondly, the historical pixel queue is introduced, and the initialization background model without ghost is obtained according to the change of foreground a

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Ondra, Eka Putra, Sumijan Sumijan, and Tajuddin Muhammad. "Improved adaptive multi-threshold method for automatic identification of rhinosinusitis in paranasal sinus images." IAES International Journal of Artificial Intelligence (IJ-AI) 14, no. 1 (2025): 119–29. https://doi.org/10.11591/ijai.v14.i1.pp119-129.

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Rhinosinusitis, characterized by inflammation of the mucosa or mucous membrane within the paranasal sinuses, anatomical cavities situated in the facial bones, is the focus of this investigation. This study employs computed tomography (CT)-scan images comprising sagittal slices of the paranasal sinuses, acquired through a CT device featuring a Philips Ingenuity CT model MRC880 tube type, identified by tube serial number 163889, with a pixel value resolution of 0.24 mm. The primary objective of this research is to automatically identify and delineate rhizosinusitis-affected areas. This involves

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Li, Yihui, Manling Ge, Shiying Zhang, and Kaiwei Wang. "Adaptive Segmentation Algorithm for Subtle Defect Images on the Surface of Magnetic Ring Using 2D-Gabor Filter Bank." Sensors 24, no. 3 (2024): 1031. http://dx.doi.org/10.3390/s24031031.

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In order to realize the unsupervised segmentation of subtle defect images on the surface of small magnetic rings and improve the segmentation accuracy and computational efficiency, here, an adaptive threshold segmentation method is proposed based on the improved multi-scale and multi-directional 2D-Gabor filter bank. Firstly, the improved multi-scale and multi-directional 2D-Gabor filter bank was used to filter and reduce the noise on the defect image, suppress the noise pollution inside the target area and the background area, and enhance the difference between the magnetic ring defect and th

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Zhang, Ming Jun, and Xing Qi Yuan. "Study on Filtering Algorithm of Image Using Matlab." Applied Mechanics and Materials 239-240 (December 2012): 1173–78. http://dx.doi.org/10.4028/www.scientific.net/amm.239-240.1173.

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To increase signal to noise ratio (SNR) and to stress on expectation characters, an improved adaptive minutia preserving smoothing algorithm is proposed using Matlab based on multi-scale and multidirectional masks. This algorithm keeps the mask’s good performance in preserving details. It divides image into sub-images according to the statistics from image gradation-gradient histogram, and the adaptive threshold value generate according to the gradient information of the whole and the local image. This method deals with the difficulty of choosing threshold and improves the automation of image

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Chen, Jian, Shaohua Zheng, Lun Yu, and Lin Pan. "Improved algorithm for adaptive median filter with multi-threshold based on directional information." JOURNAL OF ELECTRONIC MEASUREMENT AND INSTRUMENT 27, no. 2 (2013): 156–61. http://dx.doi.org/10.3724/sp.j.1187.2013.00156.

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Hu, Xiaolong, Hongbing Ji, and Long Liu. "Adaptive Target Birth Intensity Multi-Bernoulli Filter with Noise-Based Threshold." Sensors 19, no. 5 (2019): 1120. http://dx.doi.org/10.3390/s19051120.

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Adaptively modeling the target birth intensity while maintaining the filtering efficiency is a challenging issue in multi-target tracking (MTT). Generally, the target birth probability is predefined as a constant and only the target birth density is considered in existing adaptive birth models, resulting in deteriorated target tracking accuracy, especially in the target appearing cases. In addition, the existing adaptive birth models also give rise to a decline in operation efficiency on account of the extra birth modeling calculations. To properly adapt the real variation of the number of new

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Dong, Yuxue, Mengxia Li, and Mengxiang Zhou. "Multi-Threshold Image Segmentation Based on the Improved Dragonfly Algorithm." Mathematics 12, no. 6 (2024): 854. http://dx.doi.org/10.3390/math12060854.

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In view of the problems that the dragonfly algorithm has, such as that it easily falls into the local optimal solution and the optimization accuracy is low, an improved Dragonfly Algorithm (IDA) is proposed and applied to Otsu multi-threshold image segmentation. Firstly, an elite-opposition-based learning optimization is utilized to enhance the diversity of the initial population of dragonflies, laying the foundation for subsequent algorithm iterations. Secondly, an enhanced sine cosine strategy is introduced to prevent the algorithm from falling into local optima, thereby improving its abilit

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Qian, Hong, Shuyin Sun, Xuehua Wang, and Zhenpeng Li. "Study of Condenser Spatial State Model Based on Dynamic Thresholding of Environmentally Adaptive Multi-Dimension Eigenvalues." E3S Web of Conferences 598 (2024): 02006. http://dx.doi.org/10.1051/e3sconf/202459802006.

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This study proposes an approach that takes into account the impact of marine environmental impacts on the multi-dimension eigenvalues and analyzes the condenser status based on multi-dimension eigenvalues dynamic threshold. Firstly, we get the multi-dimensional eigenvalues of the condenser Based on thermodynamic theory analysis. Then, utilizing seawater-temperature and seawater-level as environmental parameters, the partitioning of the condenser marine environmental region is optimized based on the CalinskiHarabasz index. Subsequently, the multi-dimension eigenvalues are used to calculate to g

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Dissertations / Theses on the topic "Improved adaptive multi threshold"

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Hytla, Patrick C. "Multi-Ratio Fusion Change Detection Framework with Adaptive Statistical Thresholding." University of Dayton / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1461322397.

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Jacquemart, Damien. "Contributions aux méthodes de branchement multi-niveaux pour les évènements rares, et applications au trafic aérien." Thesis, Rennes 1, 2014. http://www.theses.fr/2014REN1S186/document.

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La thèse porte sur la conception et l'analyse mathématique de méthodes de Monte Carlo fiables et précises pour l'estimation de la (très petite) probabilité qu'un processus de Markov atteigne une région critique de l'espace d'état avant un instant final déterministe. L'idée sous-jacente aux méthodes de branchement multi-niveaux étudiées ici est de mettre en place une suite emboitée de régions intermédiaires de plus en plus critiques, de telle sorte qu'atteindre une région intermédiaire donnée sachant que la région intermédiaire précédente a déjà été atteinte, n'est pas si rare. En pratique, les

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Mancini, Simona. "Development of an adaptive hierarchical multi-scale approach for the assessment, planning and prevention of the impact on anthropic and natural environments due to the exceeding of radon gas concentrations above threshold values and the corresponding risk associated to indoor radon exposures." Doctoral thesis, Universita degli studi di Salerno, 2018. http://hdl.handle.net/10556/3006.

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2016 - 2017<br>With its publication, the Directive not only acknowledges the latest international research results but reopens the scientific panorama of the control and monitoring of Radon concentrations, which had a period of stasis succeeding the completed accomplishment of the previous European Directive 96/29/Euratom. In view of what will be the national accomplishments of the ED 59/2013/Euratom, scheduled within February 2018, in order to succeed next national strategies, the construction of an innovative approach based on an interdisciplinary methodology applicable on the European scal

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Shieh, Jiann-Shing, and 謝建興. "An Improved Low Voltage/Low Power Multi-Threshold CMOS Digital Circuit Design." Thesis, 1999. http://ndltd.ncl.edu.tw/handle/22350887294993081271.

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碩士<br>國立交通大學<br>電子工程系<br>87<br>It is well known that scaling down both the supply voltage and threshold voltage is effective in reducing the power consumption while maintaining the high operation speed. However, it induces some problems, for instance, the standby power is increased dramatically. In order to cope with the problem, several circuit schemes are proposed. We classify those schemes into 3 classes: 1) Multiple Threshold voltage(MTCMOS) 2) Variable Threshold voltage with substrate bias controlling (VTCMOS) 3) combined MTCMOS and VTCMOS(MVCMOS). In addition, Silicon on Insulator (SOI)

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Lin, Ming-Hui, and 林明輝. "Improved Depth Estimation for Multi-View Images Based on Adaptive Support-Weight." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/5hkm2k.

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碩士<br>國立臺北科技大學<br>資訊工程系研究所<br>101<br>Adaptive Support-Weight (ASW) is a window-based stereo-matching technique. Unlike the complicated global optimization methods, ASW calculates the disparity independently on each pixel. ASW achieves good results with less computational complexity. However, ASW is sensitive to the window size. A larger window is needed for better accuracy, which in turn causes the computational burden. In this thesis, variable window-size is proposed for ASW to reduce the computation. The disparity obtained from a smaller window-size is first analyzed. Those pixels with the s

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Chen, Jen-Yang, and 陳貞陽. "Improved Early Selective Packet Discard with Dynamic Discarding Threshold for TCP over Multi-Hop ATM Networks." Thesis, 2000. http://ndltd.ncl.edu.tw/handle/31510104172819524747.

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碩士<br>義守大學<br>資訊工程學系<br>88<br>High speed integrated networks to carry all types of multi-service traffic like multimedia or video on demand will play an important role in the future. In this thesis a kind of multi-hop Asynchronous Transfer Mode (ATM) network, where each switch faces certain degree of congestion, is studied for solving the above problems. The superior internetworking capability of Transmission Control Protocol with Internet Protocol (TCP/IP) makes it dominate the future network development. Most TCP/IP applications, however, cannot predict their own bandwidth requirements so

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Book chapters on the topic "Improved adaptive multi threshold"

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Chen, Yanbo. "Dazzle: Improved Adaptive Threshold Signatures from DDH." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-91826-1_8.

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Cheraghchi, Mahdi. "Improved Constructions for Non-adaptive Threshold Group Testing." In Automata, Languages and Programming. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-14165-2_47.

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Che, Xiangjiu, Li Wang, and Xiaoxin Guo. "An Improved Edge Detection Method Using Adaptive Threshold." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2016. http://dx.doi.org/10.1007/978-3-662-50544-1_12.

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Ouerfelli, Fatima Ezzahra, Khaled Barbaria, Belhassen Zouari, and Claude Fachkha. "Multi-scale Adaptive Threshold for DDoS Detection." In Lecture Notes in Computer Science. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-41568-6_22.

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Li, Hui-Xian, Chun-Tian Cheng, and Liao-Jun Pang. "An Improved Multi-stage (t, n)-Threshold Secret Sharing Scheme." In Advances in Web-Age Information Management. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11563952_24.

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Wang, Man, Baoju Zhang, and Cuiping Zhang. "Adaptive Multi-threshold Image Segmentation Technology Based on Intelligent Algorithm." In Lecture Notes in Electrical Engineering. Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-9423-3_70.

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Ucak, Kemal, and Gulay Oke. "An Improved Adaptive PID Controller Based on Online LSSVR with Multi RBF Kernel Tuning." In Adaptive and Intelligent Systems. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23857-4_8.

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Han, Chenchen, and Heng Jia. "Multi-modal Representation Learning with Self-adaptive Threshold for Commodity Verification." In Communications in Computer and Information Science. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-8300-9_19.

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Zhang, Zhouyu, Xingxiu Li, Panlong Wu, and Chaojie Zhang. "Improved Adaptive Sliding Mode Cooperative Guidance Law with Multi-constraints." In Lecture Notes in Electrical Engineering. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-1091-1_10.

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Zhao, Ni, and HuaPeng Zhang. "An Wavelet Multi-scale Edge Detection Algorithm Based on Adaptive Dual Threshold." In Advanced Research on Computer Education, Simulation and Modeling. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21802-6_4.

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Conference papers on the topic "Improved adaptive multi threshold"

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Lv, Xinming, Meng Xu, Kezhi Wang, Jikai Wang, and Zonghai Chen. "A-MSCKF: An Improved MSCKF Algorithm Based on Adaptive Threshold Feature Points." In 2024 China Automation Congress (CAC). IEEE, 2024. https://doi.org/10.1109/cac63892.2024.10864553.

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LIU, KE. "An improved visual SLAM method based on image enhancement and adaptive threshold." In International Conference on Pattern Recognition and Image Analysis, edited by Mingguang Shan and Tao Lei. SPIE, 2025. https://doi.org/10.1117/12.3056143.

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Fangfang, Ji, Chen Beibei, Yu Jie, Huang Guoman, and Lu Lijun. "Adaptive Threshold ArrayInSAR Point Cloud Denoising Method for Improved Hierarchical Moving Surface Fitting." In IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2024. http://dx.doi.org/10.1109/igarss53475.2024.10640868.

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Zhang, Jing. "Edge Detection of Noise Images Based on Improved Canny Algorithm with Adaptive Threshold." In 2024 International Conference on Advances in Electrical Engineering and Computer Applications (AEECA). IEEE, 2024. https://doi.org/10.1109/aeeca62331.2024.00126.

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Kong, Lingjie, Xiaopeng Hu, and Fan Wang. "Multi-Object Tracking with Partial-Level Features and Adaptive Threshold Mechanism." In 2024 International Joint Conference on Neural Networks (IJCNN). IEEE, 2024. http://dx.doi.org/10.1109/ijcnn60899.2024.10650799.

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Xu, Ke, Huibin Wang, Sikai Guo, and Wenping Chen. "R-Wave Detection Algorithm Based on Central Difference and Adaptive Multi-Threshold." In 2024 7th International Conference on Computer Information Science and Application Technology (CISAT). IEEE, 2024. http://dx.doi.org/10.1109/cisat62382.2024.10695300.

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Zhao, Jingyu, Qinran Zhang, Sikai Wang, Li Zhang, Guoxin Pan, and Peng Su. "Multi-Feature Recognition Algorithm of ECG Signal Based on Adaptive Threshold Back Detection." In 2024 IEEE 14th International Conference on CYBER Technology in Automation, Control, and Intelligent Systems (CYBER). IEEE, 2024. http://dx.doi.org/10.1109/cyber63482.2024.10749177.

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Abramovich, Yuri I., Ben A. Johnson, and Nicholas K. Spencer. "Can maximum-likelihood “threshold performance” be improved by random matrix theory tools?" In 2009 3rd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP). IEEE, 2009. http://dx.doi.org/10.1109/camsap.2009.5413279.

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Susanto, Ajib, Ibnu Utomo Wahyu Mulyono, Christy Atika Sari, Eko Hari Rachmawanto, and De Rosal Ignatius Moses Setiadi. "An Improved Handwritten Javanese Script Recognition using Adaptive Threshold and Multi-Feature Extraction." In 2022 International Seminar on Application for Technology of Information and Communication (iSemantic). IEEE, 2022. http://dx.doi.org/10.1109/isemantic55962.2022.9920462.

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Reddy, P. Ramanjul, and K. Chanthirasekaran. "Dual threshold based adaptive scheduling for multi-user MIMO networks to improve the packet delivery ratio compared to multi threshold scheduling." In CONTEMPORARY INNOVATIONS IN ENGINEERING AND MANAGEMENT. AIP Publishing, 2023. http://dx.doi.org/10.1063/5.0158443.

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Reports on the topic "Improved adaptive multi threshold"

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Bonnett, Michaela, Meaghan Kennedy, Odiraa Okala, and Teri Garstka. Precision Public Health: Empowering Communities with Hyperlocal Data for Targeted Interventions and Improved Outcomes. Orange Sparkle Ball, 2024. http://dx.doi.org/10.61152/sktq6431.

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Background Precision public health is an effective strategy for reaching the last mile in service delivery, but is frequently hampered by its dependence on unattainable data standards and the non-transferability of the solutions designed. This paper proposes a five-part system involving 1) dynamic data governance, 2) hyperlocal community data, 3) data synthesis and analysis, 4) the design and implementation of precision interventions, and 5) correlation between community data and traditional outcome data. Recent studies of community network data have found the connectedness of communities to b

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Sett, Dominic, Florian Waldschmidt, Alvaro Rojas-Ferreira, et al. Climate and disaster risk analytics tool for adaptive social protection. United Nations University - Institute for Environment and Human Security, 2022. http://dx.doi.org/10.53324/wnsg2302.

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Adaptive Social Protection (ASP) as discussed in this report is an approach to enhance the well-being of communities at risk. As an integrated approach, ASP builds on the interface of Disaster Risk Management (DRM), Climate Change Adaptation (CCA) and Social Protection (SP) to address interconnected risks by building resilience, thereby overcoming the shortcomings of traditionally sectoral approaches. The design of meaningful ASP measures needs to be informed by specific information on risk, risk drivers and impacts on communities at risk. In contrast, a limited understanding of risk and its d

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Bell, Gary, David Abraham, Nathan Clifton, and Lamkin Kenneth. Wabash and Ohio River confluence hydraulic and sediment transport model investigation : a report for US Army Corps of Engineers, Louisville District. Engineer Research and Development Center (U.S.), 2022. http://dx.doi.org/10.21079/11681/43441.

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Avulsions of the Wabash River in 2008 through 2011 at its confluence with the Ohio River resulted in significant shoaling in the Ohio River. This caused a re-alignment of the navigation channel and the need for frequent dredging. A two-dimensional numerical hydrodynamic model, Adaptive Hydraulics (AdH), was developed to simulate base (existing) conditions and then altered to simulate multiple alternative scenarios to address these sediment issues. The study was conducted in two phases, Phase 1 in 2013 – 2015 and Phase 2 in 2018 – 2020. Field data were collected and consisted of multi-beam bath

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