Relevant bibliographies by topics / RKM attributes

Contents

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

Academic literature on the topic 'RKM attributes'

Author: Grafiati
Published: 5 June 2025
Last updated: 2 August 2025

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Journal articles on the topic "RKM attributes"

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Mashael, Alsaleh, and Aldossary Abdullah. "Cryptographic Key Generation for Logically Shared Data Stores." International Journal of Computer Science and Information Technology Research 11, no. 3 (2023): 58–59. https://doi.org/10.5281/zenodo.8185969.

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<strong>Abstract:</strong> This research explains a method of establishing a secure communication between a client and a server using a rotating key mechanism. The method comprises receiving a message requesting communication from a client, returning information for establishing communication to the client, including a set of cipher suites supported, receiving from the client one or more selected cipher suites from the set of cipher suites, sending rotation key mechanism attributes (RKM attributes) including a number of keys for rotation, a valid time period for each key, and a server critical
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Singkran, Nuanchan, Pitchaya Anantawong, Naree Intharawichian, and Karika Kunta. "The Chao Phraya River Basin: water quality and anthropogenic influences." Water Supply 19, no. 5 (2018): 1287–94. http://dx.doi.org/10.2166/ws.2018.167.

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Abstract Land use influences and trends in water quality parameters were determined for the Chao Phraya River, Thailand. Dissolved oxygen (DO), biochemical oxygen demand (BOD), and nitrate-nitrogen (NO3-N) showed significant trends (R2 ≥ 0.5) across the year, while total phosphorus (TP) and faecal coliform bacteria (FCB) showed significant trends only in the wet season. DO increased, but BOD, NO3-N, and TP decreased, from the lower section (river kilometres (rkm) 7–58 from the river mouth) through the middle section (rkm 58–143) to the upper section (rkm 143–379) of the river. Lead and mercury
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Mohammed, Moniruzzaman Bhuiyan, and Hoque Akramul. "Factors affecting choice of mobile phone among university students: A conjoint analysis approach." International Journal of Science and Business 12, no. 1 (2022): 27–33. https://doi.org/10.5281/zenodo.6483362.

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The use of mobile phones has been expanded among the university students during the COVID-19 pandemic for easy access to virtual classes conducted by the different faculties, for communication with fellow friends and for keeping touch with the virtual library in addition to storage facility for soft copies of their academic work. Moreover, students prefer mobile phone for their own recreation purposes and online businesses. This study reported on students&rsquo; preferences for different mobile phones based on conjoint analysis. The study was conducted based on RBCA (Ranking-based conjoint ana
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Taher, Nesma Mahmoud, Doaa Elzanfaly, and Shaimaa Salama. "Investigation in Customer Value Segmentation Quality under Different Preprocessing Types of RFM Attributes." International Journal of Recent Contributions from Engineering, Science & IT (iJES) 4, no. 4 (2016): 5. http://dx.doi.org/10.3991/ijes.v4i4.6532.

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Customer value segmentation helps retailers to understand different types of customers, develops long term relationship with them, and hence increases their value and loyalty. This study aims to evaluate the quality of customer value segmentation based on two methods of preprocessing the RFM attributes. K-means clustering algorithm is used for the customer value segmentation based on the scored RFM and the actual value of RFM. The quality of the clustering results is tested using the Sum of Squared Error (SSE). Results obtained show that using the actual value of RFM in customer segmentation r
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Stenberg, Elin, Katarina Arvidsson-Segerkvist, Anders H. Karlsson, et al. "A Comparison of Two Different Slaughter Systems for Lambs. Effects on Carcass Characteristics, Technological Meat Quality and Sensory Attributes." Animals 11, no. 10 (2021): 2935. http://dx.doi.org/10.3390/ani11102935.

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Two slaughter systems for lambs and their effects on meat quality in terms of texture, colour and sensory attributes were compared. The slaughter systems differed in methods for controlling rigor mortis and carcass chilling. One slaughter system (large-scale) used electrical stimulation and fast chilling of carcasses, while the other system (small-scale) did not use electrical stimulation and applied slower chilling, with carcass temperature decreasing over a longer period after slaughter. Ten pairs of ram lamb twins were selected, and one of each pair was slaughtered at the large-scale abatto
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Cheng, Ching-Hsue, and Yun-Chun Wang. "Exploring the Important Attributes of Human Immunodeficiency Virus and Generating Decision Rules." Symmetry 12, no. 1 (2020): 67. http://dx.doi.org/10.3390/sym12010067.

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Acquired Immunodeficiency Syndrome (AIDS) is the most severe phase of Human Immunodeficiency Virus (HIV) infection. Living with HIV results in a weakened immune system, with AIDS being the final stage of HIV and puzzling the world. The current medical environment remains unable to effectively cure AIDS, with treatment depending on long-term antiretroviral therapy (ART). To effectively treat and prevent HIV, it is important to elucidate the key factors of HIV propagation. This study proposes a rough set classifier based on adding recency (R) (i.e., the last physician visit), frequency (F) (i.e.
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Maigoshi, Zaharaddeen Salisu, and Udisifan Michael Tanko. "Financial attributes, real earnings management and corporate tax planning of listed manufacturing firms in Nigeria." Journal of Accounting, Business and Finance Research 17, no. 1 (2023): 43–54. http://dx.doi.org/10.55217/102.v17i1.705.

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The purpose of this study is to investigate the influence of financial attributes on the tax planning strategies of publicly listed manufacturing companies in Nigeria from 2012 to 2022. Additionally, it examines the moderating role of real earnings management (REM) in the relationship between financial attributes and tax planning. Data for this research were gathered from the annual reports of 41 publicly listed manufacturing firms in Nigeria. The study employed a correlational design using panel data analysis, with a fixed effects estimation applied to a simplified model and a moderated model
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Punter, Wieger R., Odysseas Papapetrou, and Minos Garofalakis. "OmniSketch: Efficient Multi-Dimensional High-Velocity Stream Analytics with Arbitrary Predicates." Proceedings of the VLDB Endowment 17, no. 3 (2023): 319–31. http://dx.doi.org/10.14778/3632093.3632098.

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A key need in different disciplines is to perform analytics over fast-paced data streams, similar in nature to the traditional OLAP analytics in relational databases - i.e., with filters and aggregates. Storing unbounded streams, however, is not a realistic, or desired approach due to the high storage requirements, and the delays introduced when storing massive data. Accordingly, many synopses/sketches have been proposed that can summarize the stream in small memory (usually sufficiently small to be stored in RAM), such that aggregate queries can be efficiently approximated, without storing th
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Punter, Wieger R., Odysseas Papapetrou, and Minos Garofalakis. "OmniSketch: Streaming Data Analytics with Arbitrary Predicates." ACM SIGMOD Record 54, no. 1 (2025): 28–35. https://doi.org/10.1145/3733620.3733627.

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A key need in different disciplines is to perform analytics over fast-paced data streams, similar in nature to the traditional OLAP analytics in relational databases, i.e., with filters and aggregates. Storing unbounded streams, however, is not a realistic approach due to the high storage requirements, and the delays introduced when storing massive data. Accordingly, many synopses/sketches have been proposed that can summarize the stream in small memory (usually sufficiently small to be stored in RAM), such that aggregate queries can be efficiently approximated, without storing the full stream
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Liu, Peiran, Xin Zhu, Wei Wu, et al. "Subunit mass analysis for monitoring multiple attributes of monoclonal antibodies." Rapid Communications in Mass Spectrometry 33, no. 1 (2018): 31–40. http://dx.doi.org/10.1002/rcm.8301.

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Dissertations / Theses on the topic "RKM attributes"

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Abdelkhalek, Rached. "Accélération matérielle pour l’imagerie sismique : modélisation, migration et interprétation." Thesis, Bordeaux 1, 2013. http://www.theses.fr/2013BOR15028/document.

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La donnée sismique depuis sa conception (modélisation d’acquisitions sismiques), dans sa phase de traitement (prétraitement et migration) et jusqu’à son exploitation pour en extraire les informations géologiques pertinentes nécessaires à l’identification et l’exploitation optimale des réservoirs d’hydrocarbures (interprétation), génère un volume important de calculs. Nous montrons dans ce travail de thèse qu’à chacune de ces étapes l’utilisation de technologies accélératrices de type GPGPU permet de réduire radicalement les temps de calcul tout en restant dans une enveloppe de consommation éle
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Pathak, Pankaj [Verfasser], and Parashu Ram [Verfasser] Pal. "Data Mining Multi-Attribute Decision System. Facilitating Decision Support Through Data Mining Technique by Hierarchical Multi-Attribute Decision Models / Pankaj Pathak, Parashu Ram Pal." München : GRIN Verlag, 2020. http://d-nb.info/1221132237/34.

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Book chapters on the topic "RKM attributes"

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Khanfar, Iyad, Isra Khanfar, and Mahmoud Odeh. "Customer Segmentation Based on RFM Attributes Using Machine Learning." In Intelligent Systems, Business, and Innovation Research. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-36895-0_30.

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Duncan, Ray. "Int 10H Funktion 09H Zeichen und Attribut an der Cursorposition schreiben." In Programmierleitfaden IBM ROM BIOS. Vieweg+Teubner Verlag, 1989. http://dx.doi.org/10.1007/978-3-322-99741-8_10.

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Duncan, Ray. "Int 10 Funktion 08H Zeichen und Attribut an der Cursorposition lesen." In Programmierleitfaden IBM ROM BIOS. Vieweg+Teubner Verlag, 1989. http://dx.doi.org/10.1007/978-3-322-99741-8_9.

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Rogić, Sunčica, Ljiljana Kašćelan, and Vladimir Đurišić. "Estimating Customers’ Profitability: Influence of RFM Attributes, Web Metrics and Product Data." In Marketing and Smart Technologies. Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-9268-0_24.

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Picardi, Ilenia, Luca Serafini, and Marco Serino. "Disentangling Discursive Spaces of Knowledge Refused by Science: An Analysis of the Epistemic Structures in the Narratives Repertoires on Health During the Covid-19 Pandemic." In Manufacturing Refused Knowledge in the Age of Epistemic Pluralism. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-99-7188-6_6.

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AbstractThis chapter provides an understanding of the social configurations with which Refused Knowledge Communities (RKCs) attribute credibility to knowledge about healthcare and wellbeing. This study focuses on how RKCs enrol knowledge claims and heterogeneous actors to build, maintain and legitimise forms of knowledge refused by science. The analysis relies on empirical materials related to the online discourses shared in the Alkaline Water (AW) and Five Biological Laws (5BLs) RKCs from January 2020 to December 2021—a time span characterised by the emergence of the Covid-19 pandemic and the
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El Kaafarani, Ali, and Shuichi Katsumata. "Attribute-Based Signatures for Unbounded Circuits in the ROM and Efficient Instantiations from Lattices." In Public-Key Cryptography – PKC 2018. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-76581-5_4.

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Chand, Asha. "15. Online dating." In Digital Humanities in the India Rim. Open Book Publishers, 2024. http://dx.doi.org/10.11647/obp.0423.15.

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Marriage and migration are twin global forces that have reshaped Australia’s identity from a white nation to a multicultural melting pot. India has become the largest contributor to immigration in Australia, with 710,380 permanent migrants. Indians are Australia’s second largest migrant community (after England), equivalent to 9.5% of Australia’s overseas-born population (Australian Bureau of Statistics, 2021). This study, built within the context of a postmodern society that is networked, mobile and global, examines the use of new media technologies in finding a marriage match, known to the I
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"Hudson River Fishes and their Environment." In Hudson River Fishes and their Environment, edited by E. Terry Euston, Susan A. Haney, Kathryn A. Hattala, and Andrew W. Kahnle. American Fisheries Society, 2006. http://dx.doi.org/10.47886/9781888569827.ch17.

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&lt;em&gt;Abstract.&lt;/em&gt;—Recreational fishing throughout the Hudson River estuary from the federal dam at Troy (river kilometer [rkm] 243) to the George Washington Bridge (rkm 19) was investigated during March 2001 through March 2002. Aerial counting surveys and angler interviews at nearly 200 access points were used to estimate fishing pressure, catch and harvest, catch rates, and various angler attributes. Fishing pressure for the mid-March through November period was estimated at 446,621 angler-hours. Most effort occurred in the late spring by anglers north of the Bear Mountain Bridge
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"Hudson River Fishes and their Environment." In Hudson River Fishes and their Environment, edited by E. Terry Euston, Susan A. Haney, Kathryn A. Hattala, and Andrew W. Kahnle. American Fisheries Society, 2006. http://dx.doi.org/10.47886/9781888569827.ch17.

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&lt;em&gt;Abstract.&lt;/em&gt;—Recreational fishing throughout the Hudson River estuary from the federal dam at Troy (river kilometer [rkm] 243) to the George Washington Bridge (rkm 19) was investigated during March 2001 through March 2002. Aerial counting surveys and angler interviews at nearly 200 access points were used to estimate fishing pressure, catch and harvest, catch rates, and various angler attributes. Fishing pressure for the mid-March through November period was estimated at 446,621 angler-hours. Most effort occurred in the late spring by anglers north of the Bear Mountain Bridge
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Hong Chin, Wei, Naoyuki Kubota, and Chu Kiong Loo. "An Episodic-Procedural Semantic Memory Model for Continuous Topological Sensorimotor Map Building." In Cognitive Robotics [Working Title]. IntechOpen, 2022. http://dx.doi.org/10.5772/intechopen.104818.

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For humans to understand the world around them, learning and memory are two cognitive processes of the human brain that are deeply connected. Memory allows information to retain and forms an experiences reservoir. Computational models replicating those memory attributes can lead to the practical use of robots in everyday human living environments. However, constantly acquiring environmental information in real-world, dynamic environments has remained a challenge for many years. This article proposes an episodic-procedure semantic memory model to continuously generate topological sensorimotor m
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Conference papers on the topic "RKM attributes"

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Barmatov, Evgeny, Trevor Hughes, and Michaela Nagl. "Effect of Surface Roughness and Flow on Corrosion Inhibition of Coiled Tubing Steel under Matrix Acidizing Conditions." In CORROSION 2014. NACE International, 2014. https://doi.org/10.5006/c2014-4114.

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Abstract The effect of surface roughness on the corrosion behavior of low carbon steel in 4M hydrochloric acid at 80°C in the presence of corrosion inhibitor molecules has been examined using rotating cylinder electrodes under laminar (5 rpm) and turbulent (6000 rpm) flowing conditions. Glass bead blasted (BB) metal coupons as well as samples with P240 or P1200 grit surface finishes were studied. Rotating cylinder electrodes were used to simulate the effect of flow velocity on pipe corrosion. The corrosion rate and cathodic current density were determined by potentiodynamic polarization, linea
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Hao, Yu, Xin Cao, Yixiang Fang, Xike Xie, and Sibo Wang. "Inductive Link Prediction for Nodes Having Only Attribute Information." In Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}. International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/ijcai.2020/168.

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Predicting the link between two nodes is a fundamental problem for graph data analytics. In attributed graphs, both the structure and attribute information can be utilized for link prediction. Most existing studies focus on transductive link prediction where both nodes are already in the graph. However, many real-world applications require inductive prediction for new nodes having only attribute information. It is more challenging since the new nodes do not have structure information and cannot be seen during the model training. To solve this problem, we propose a model called DEAL, which cons
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Fu, Cheng, Xianpei Han, Jiaming He, and Le Sun. "Hierarchical Matching Network for Heterogeneous Entity Resolution." In Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}. International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/ijcai.2020/507.

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Entity resolution (ER) aims to identify data records referring to the same real-world entity. Most existing ER approaches rely on the assumption that the entity records to be resolved are homogeneous, i.e., their attributes are aligned. Unfortunately, entities in real-world datasets are often heterogeneous, usually coming from different sources and being represented using different attributes. Furthermore, the entities’ attribute values may be redundant, noisy, missing, misplaced, or misspelled—we refer to it as the dirty data problem. To resolve the above problems, this paper proposes an end-
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Cheng, Jiafeng, Qianqian Wang, Zhiqiang Tao, Deyan Xie, and Quanxue Gao. "Multi-View Attribute Graph Convolution Networks for Clustering." In Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}. International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/ijcai.2020/411.

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Graph neural networks (GNNs) have made considerable achievements in processing graph-structured data. However, existing methods can not allocate learnable weights to different nodes in the neighborhood and lack of robustness on account of neglecting both node attributes and graph reconstruction. Moreover, most of multi-view GNNs mainly focus on the case of multiple graphs, while designing GNNs for solving graph-structured data of multi-view attributes is still under-explored. In this paper, we propose a novel Multi-View Attribute Graph Convolution Networks (MAGCN) model for the clustering task
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Lietaert, Pieter, Niels Billen, and Sofie Burggraeve. "Model-based Multi-Attribute Collaborative Production Cell Layout Optimization." In 2019 20th International Conference on Research and Education in Mechatronics (REM). IEEE, 2019. http://dx.doi.org/10.1109/rem.2019.8744136.

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Fu, Gen, and Alexandrina Untaroiu. "Effects of Tire Attributes on Aerodynamic Performance." In ASME 2020 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/imece2020-24615.

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Abstract As indicated by previous studies, many attributes of tires have been shown to have an impact on tire aerodynamic drag. However, the way these attributes affect tire aerodynamics has not been systematically investigated to date. It is not clear which tire attributes have the most significant impact on aerodynamic drag. Therefore, a sensitivity study of the effects of tire attributes on tire aerodynamic performance is proposed in this study. This sensitivity study improves the understanding of flow structures and mechanisms around tires. First, a baseline CFD model of a tire is created
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Pourbakhsh, Seyed Alireza, and Raj Katti. "Efficient attributes in secure credentials." In 2015 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM). IEEE, 2015. http://dx.doi.org/10.1109/pacrim.2015.7334818.

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Zhao, Wenqi, Satoshi Oyama, and Masahito Kurihara. "Generating Natural Counterfactual Visual Explanations." In Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}. International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/ijcai.2020/742.

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Counterfactual explanations help users to understand the behaviors of machine learning models by changing the inputs for the existing outputs. For an image classification task, an example counterfactual visual explanation explains: "for an example that belongs to class A, what changes do we need to make to the input so that the output is more inclined to class B." Our research considers changing the attribute description text of class A on the basis of the attributes of class B and generating counterfactual images on the basis of the modified text. We can use the prediction results of the mode
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Sadeghi-Esfahlani, Shabnam, Hassan Shirvani, Sunday Nwaubani, and Ayoub Shirvani. "Design Attributes for Geometry Optimization Process of Thin Walled Honeycomb Structures." In ASME 2011 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2011. http://dx.doi.org/10.1115/detc2011-47080.

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Thin walled cellular structures have the ability to absorb impact energy during crashing thus it is important to enhance the crashing efficiency and optimise the structural reliability. This paper discusses the honeycomb cell configuration optimization procedure. For the design optimization, the response surface method (RSM) is used to formulate the complex design where the energy absorption (EA) representing the structure’s ability of absorbing energy was selected as objective, the Y split side parting length w1, w2, and thickness T1 are defined as three design variables, and the maximum crus
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Sun, Jian, Hongyu Jia, Bo Hu, et al. "Speeding up Very Fast Decision Tree with Low Computational Cost." In Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}. International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/ijcai.2020/177.

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Very Fast Decision Tree (VFDT) is one of the most widely used online decision tree induction algorithms, and it provides high classification accuracy with theoretical guarantees. In VFDT, the split-attempt operation is essential for leaf-split. It is computation-intensive since it computes the heuristic measure of all attributes of a leaf. To reduce split-attempts, VFDT tries to split at constant intervals (for example, every 200 examples). However, this mechanism introduces split-delay for split can only happen at fixed intervals, which slows down the growth of VFDT and finally lowers accurac
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Reports on the topic "RKM attributes"

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Roby, Piper, Andrew Taylor, Gregg Janos, and Will Seiter. New River Gorge Cliff Line Bat Inventory Survey. National Park Service, 2024. http://dx.doi.org/10.36967/2303814.

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The New River Gorge National River was established by Congress in 1978, the New River Gorge National Park and Preserve (NERI) was established more recently in December 2020. Recreational climbers have been using the Gorge and surrounding areas since the early 1970s. As visitation has increased, NERI has become interested in documenting the presence of bat species and their habitat on and near the cliff face, rim, and base areas to support a park management plan. A total of 51 routes were selected to survey three times throughout the summer of 2022. Cliff line surveys included personnel on-rope
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Konnyu, Kristin J., Louise M. Thoma, Monika Reddy Bhuma, et al. Prehabilitation and Rehabilitation for Major Joint Replacement. Agency for Healthcare Research and Quality (AHRQ), 2021. http://dx.doi.org/10.23970/ahrqepccer248.

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Objectives. This systematic review evaluates the rehabilitation interventions for patients who have undergone (or will undergo) total knee arthroplasty (TKA) or total hip arthroplasty (THA) for the treatment of osteoarthritis. We addressed four Key Questions (KQs): comparisons of (1) rehabilitation prior (“prehabilitation”) to TKA versus no prehabilitation, (2) comparative effectiveness of different rehabilitation programs after TKA, (3) prehabilitation prior to THA versus no prehabilitation, (4) comparative effectiveness of different rehabilitation programs after THA. Data sources and review
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Cotten, David, Brandon Adams, Nancy O'Hare, et al. Vegetation mapping at Horseshoe Bend National Military Park: Photointerpretation key and final vegetation map. National Park Service, 2019. https://doi.org/10.36967/2267065.

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The University of Georgia Department of Geography’s Center for Geospatial Research (CGR), with the support of the National Park Service (NPS) Vegetation Mapping Inventory (VMI) Program, described and mapped vegetation at Horseshoe Bend National Military Park (HOBE). This mapping effort was accomplished through collaboration with the NPS Southeast Coast Network (SECN), the North Carolina office of NatureServe (/Durham, N.C.), and Atkins North America, Inc. A final map of vegetation communities was created for Horseshoe Bend National Military Park (NMP) to the association level of the National V
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