Relevant bibliographies by topics / Table augmentation

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

Academic literature on the topic 'Table augmentation'

Author: Grafiati
Published: 25 May 2024
Last updated: 31 July 2025

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Journal articles on the topic "Table augmentation"

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Zhang, Shuo, and Krisztian Balog. "Web Table Extraction, Retrieval, and Augmentation." ACM Transactions on Intelligent Systems and Technology 11, no. 2 (2020): 1–35. http://dx.doi.org/10.1145/3372117.

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Zhang, Jiahua, Meijuan Tan, Jing Zhang, Xiaolu Zhang, Jun Zhou, and Chenliang Li. "Retrieval augmentation for text-to-table generation." Information Processing & Management 62, no. 4 (2025): 104135. https://doi.org/10.1016/j.ipm.2025.104135.

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Wang, Jiayi, Chengliang Chai, Nan Tang, Jiabin Liu, and Guoliang Li. "Coresets over multiple tables for feature-rich and data-efficient machine learning." Proceedings of the VLDB Endowment 16, no. 1 (2022): 64–76. http://dx.doi.org/10.14778/3561261.3561267.

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Successful machine learning (ML) needs to learn from good data. However, one common issue about train data for ML practitioners is the lack of good features. To mitigate this problem, feature augmentation is often employed by joining with (or enriching features from) multiple tables, so as to become feature-rich ML. A consequent problem is that the enriched train data may contain too many tuples, especially if the feature augmentation is obtained through 1 (or many)-to-many or fuzzy joins. Training an ML model with a very large train dataset is data-inefficient. Coreset is often used to achiev
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Wu, Junyi, Chen Ye, Haoshi Zhi, and Shihao Jiang. "Column-Type Prediction for Web Tables Powered by Knowledge Base and Text." Mathematics 11, no. 3 (2023): 560. http://dx.doi.org/10.3390/math11030560.

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Web tables are essential for applications such as data analysis. However, web tables are often incomplete and short of some critical information, which makes it challenging to understand the web table content. Automatically predicting column types for tables without metadata is significant for dealing with various tables from the Internet. This paper proposes a CNN-Text method to deal with this task, which fuses CNN prediction and voting processes. We present data augmentation and synthetic column generation approaches to improve the CNN’s performance and use extracted text to get better predi
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Chen, Kaiwen, and Nick Koudas. "Unstructured Data Fusion for Schema and Data Extraction." Proceedings of the ACM on Management of Data 2, no. 3 (2024): 1–26. http://dx.doi.org/10.1145/3654984.

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Recently, there has been significant interest in extracting actionable insights from the abundance of unstructured textual data. In this paper, we introduce a novel problem, which we term Semistructured Schema and Data Extraction (SDE). This task aims to enhance and complete tables using information discovered from textual repositories, given partial table specifications in the form of queries. To effectively solve SDE, several challenges must be overcome, which involve transforming the partial table specifications into effective queries, retrieving relevant documents, discerning values for pa
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Peng, Phoebe, Huiyuan Sun, Alexandre Marcireau, et al. "Auditory sensory augmentation to support table tennis games for people with vision loss." Journal of the Acoustical Society of America 154, no. 4_supplement (2023): A197. http://dx.doi.org/10.1121/10.0023248.

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People with vision loss often face limitations in regular sports games with standard rules and equipment. For example, in current blind table tennis, conventional rules are modified so that the ball rolls along the table instead of bouncing. In this work, we propose an auditory sensory augmentation system to support traditional table tennis in three dimensions. We capture the trajectory of the table tennis ball using two neuromorphic event cameras and sonify the path of the ball using loudspeakers mounted near the left and right edges of the playing table. The two event cameras capture rapid c
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Maimaiti, Mieradilijiang, Yang Liu, Huanbo Luan, Zegao Pan, and Maosong Sun. "Improving Data Augmentation for Low-Resource NMT Guided by POS-Tagging and Paraphrase Embedding." ACM Transactions on Asian and Low-Resource Language Information Processing 20, no. 6 (2021): 1–21. http://dx.doi.org/10.1145/3464427.

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Data augmentation is an approach for several text generation tasks. Generally, in the machine translation paradigm, mainly in low-resource language scenarios, many data augmentation methods have been proposed. The most used approaches for generating pseudo data mainly lay in word omission, random sampling, or replacing some words in the text. However, previous methods barely guarantee the quality of augmented data. In this work, we try to build the data by using paraphrase embedding and POS-Tagging. Namely, we generate the fake monolingual corpus by replacing the main four POS-Tagging labels,
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Gupta, Rahul, and Sunita Sarawagi. "Answering table augmentation queries from unstructured lists on the web." Proceedings of the VLDB Endowment 2, no. 1 (2009): 289–300. http://dx.doi.org/10.14778/1687627.1687661.

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Lee, Sung Hyun. "Comparison of Clinical Outcomes after Arthroscopic Anterior Talofibular Ligament Repair with or without Inferior Extensor Retinaculum Augmentation." Foot & Ankle Orthopaedics 5, no. 4 (2020): 2473011420S0032. http://dx.doi.org/10.1177/2473011420s00325.

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Category: Sports; Arthroscopy Introduction/Purpose: Though several arthroscopic surgical techniques for the treatment of lateral instability of the ankle have been introduced recently; the effect for the inferior extensor retinaculum augmentation is remained unclear. The purpose of this study was to compare the clinical outcomes after arthroscopic anterior talofibular ligament (ATFL) repair with or without additional retinaculum augmentation. Methods: We performed a retrospective review between 2017 and 2018 of 61 consecutive patients who underwent arthroscopic ATFL repair surgery for chronic
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Shota, Hoshika, Hiroyuki Sugaya, Norimasa Takahashi, et al. "Arthroscopic Soft Tissue Stabilization for Traumatic Anterior Shoulder Instability in Elite Collision Athletes: Is it Sufficient?" Orthopaedic Journal of Sports Medicine 7, no. 7_suppl5 (2019): 2325967119S0027. http://dx.doi.org/10.1177/2325967119s00270.

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Objectives: Surgical options for shoulder instability in collision athletes remain controversial. Although arthroscopic soft tissue stabilization is widely accepted treatment for shoulder instability, many surgeons prefer coracoid transfer for collision athletes with or without glenoid defect due to potential high recurrence rate after arthroscopic soft tissue Bankart repair (ABR). In the meantime, Hill-Sacks remplissage (HSR) has been gaining popularity as an effective arthroscopic augmentation procedure. Since 2002, we performed rotator interval closure (RIC) as an augmentation in addition t
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Dissertations / Theses on the topic "Table augmentation"

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Liu, Jixiong. "Semantic Annotations for Tabular Data Using Embeddings : Application to Datasets Indexing and Table Augmentation." Electronic Thesis or Diss., Sorbonne université, 2023. http://www.theses.fr/2023SORUS529.

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Avec le développement de l'Open Data, un grand nombre de sources de données sont mises à disposition des communautés (notamment les data scientists et les data analysts). Ces données constituent des sources importantes pour les services numériques sous réserve que les données soient nettoyées, non biaisées, et combinées à une sémantique explicite et compréhensible par les algorithmes afin de favoriser leur exploitation. En particulier, les sources de données structurées (CSV, JSON, XML, etc.) constituent la matière première de nombreux processus de science des données. Cependant, ces données p
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Lehmberg, Oliver [Verfasser], and Christian [Akademischer Betreuer] Bizer. "Web table integration and profiling for knowledge base augmentation / Oliver Lehmberg ; Betreuer: Christian Bizer." Mannheim : Universitätsbibliothek Mannheim, 2019. http://d-nb.info/1197143866/34.

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Heyder, Jakob Wendelin. "Knowledge Base Augmentation from Spreadsheet Data : Combining layout inference with multimodal candidate classification." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-278824.

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Spreadsheets compose a valuable and notably large dataset of documents within many enterprise organizations and on the Web. Although spreadsheets are intuitive to use and equipped with powerful functionalities, extraction and transformation of the data remain a cumbersome and mostly manual task. The great flexibility they provide to the user results in data that is arbitrarily structured and hard to process for other applications. In this paper, we propose a novel architecture that combines supervised layout inference and multimodal candidate classification to allow knowledge base augmentation
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Book chapters on the topic "Table augmentation"

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Del Bimbo, Davide, Andrea Gemelli, and Simone Marinai. "Data Augmentation on Graphs for Table Type Classification." In Lecture Notes in Computer Science. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-23028-8_25.

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Khan, Umar, Sohaib Zahid, Muhammad Asad Ali, Adnan Ul-Hasan, and Faisal Shafait. "TabAug: Data Driven Augmentation for Enhanced Table Structure Recognition." In Document Analysis and Recognition – ICDAR 2021. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-86331-9_38.

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Chen, Bangdong, Dezhi Peng, Jiaxin Zhang, Yujin Ren, and Lianwen Jin. "Complex Table Structure Recognition in the Wild Using Transformer and Identity Matrix-Based Augmentation." In Frontiers in Handwriting Recognition. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-21648-0_37.

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Kouwenhoven, Jonas, Lucas Lageweg, and Benno Kruit. "Constrained LLM-Based Query Generation for Question Answering on Official Statistics." In Frontiers in Artificial Intelligence and Applications. IOS Press, 2024. http://dx.doi.org/10.3233/faia241052.

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This research explores the development of a knowledge graph statistical question answering system for Statistics Netherlands. Aimed at efficiently retrieving single statistical values from their extensive database, which encompasses over a billion values across more than 4,000 tables, we propose a comprehensive three-component framework consisting of: (1) a data augmentation method to generate synthetic data, (2) an entity retrieval system that leverages various encoder networks along with different hard negative mining techniques for the effective retrieval of tables, measures, and dimensions
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Krivoshei Andrei, Lamp Jürgen, Min Mart, Uuetoa Tiina, Uuetoa Hasso, and Annus Paul. "Wearable System for Non-Invasive and Continuous Monitoring Central Aortic Pressure Curve and Augmentation Index." In Studies in Health Technology and Informatics. IOS Press, 2013. https://doi.org/10.3233/978-1-61499-268-4-101.

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The paper presents a non-invasive method and system for a long-term and continuous monitoring of the central aortic pressure (CAP) waveform and the augmentation index (AI). The CAP curve is estimated from the measured radial electrical bio-impedance (EBI) using spectral domain transfer functions (TF), which are established on the basis of data analysis during clinical experiments. Experiments were carried out on 3 volunteers by now. During the experiment, a 0.5 mg sublingual nitroglycerin tablet was administrated to each volunteer. Both, the reconstructed CAP curve and the AI have very good co
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Zhu, Wei, Charles B. Owen, Hairong Li, and Joo-Hyun Lee. "Design of the PromoPad." In Advances in End User Computing. IGI Global, 2010. http://dx.doi.org/10.4018/978-1-60566-687-7.ch011.

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Augmented-reality technologies as a new way of human-computer interaction make possible real-time modification of our perception of reality without active user interference. This article introduces the prototype of an augmented-reality shopping-assistant device, the PromoPad, based on a handheld tablet PC allowing see-through vision with augmentations. While this new interaction utilizing augmented reality that places products into contextual settings can enhance shopping experience and suggest complementary products, it also has challenges and issues when used in a public environment such as
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Azevedo Luis, Londral Ana Rita, and Pinto Anabela. "A Systematized Approach to Provide Assistive Technology (AT) for Augmentative Communication, to Patients With Amyotrophic Lateral Sclerosis (ALS)." In Assistive Technology Research Series. IOS Press, 2009. https://doi.org/10.3233/978-1-60750-042-1-8.

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This paper describes a systematized approach to assess and provide Assistive Technological equipments that help ALS patients to overtake some the severe limitations posed by this disease, with an emphasis in the area of Augmentative Communication. Thanks to a cooperation between the Department of Rehabilitation of a State Hospital and a team of professionals (rehab engineers) working for a Company specialized in AT, patients with ALS of that hospital are referred to those professionals that assess them and suggest to the clinicians the AT devices for AAC they consider to be the most adequate t
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Draffan, E. A., Charlie Danger, and David Banes. "Reflections on Building a Multi-Country AAC Implementation Guide." In Assistive Technology: Shaping a Sustainable and Inclusive World. IOS Press, 2023. http://dx.doi.org/10.3233/shti230616.

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Augmentative and Alternative Communication (AAC) implementation at any level is a multifaceted process that requires selection of relevant and appropriate systems to suit individual users who may have complex communication needs and other co-occurring difficulties. Careful and systematic action may be required to develop skills and abilities in the use of chosen technologies with suitable ongoing support within a wide range of settings. The wider milieu in which services are provided must also be considered in order to provide a firm foundation for capacity building alongside considerations fo
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"Table I. Strength (Dilutions to Threshold) of odour samples from Knostrop sludge tanks Wind velocity (m/s) Sample point 0.41.83.6 20 mm above sludge level 80 195 80 1 m above sludge level 80 128 63 4 m above sludge level 63 80 40 6 m above sludge level 80 100 46 and 20 m from tank producing odours, and to calibrate this to real applications by experience. A method which estimates the odour potential from a sludge or slurry could be used to develop empirical relationships with complaints received during e.g. spreading. Additionally such a method can be used to evaluate treatment processes. A further advantage of this approach is that it deals well with the logistics of sampling and measurement. Taking voluminous odour samples from the vicinity of a liquid surface over an open tank requires experience and time if a representative sample is to be obtained, since the act of sampling disturbs the air being sampled unless the sample flow rate is infinitely slow. Not only this, but it is not unusual for the site being assessed to be a considerable distance from the place where the olfactometry or chemical analysis is to be carried out. Storage of samples in transit results in a somewnat unpredictable change in the odour measurement. Results reported by Gillard^^ show attenuations between 40 and 55% for sane samples over a 24 h storage period, and more remarkably, an augmentation of 139$ for one sample after 8 days storage. Though sewage sludge does change with storage, the effect is minor if the sample is refrigerated. The odour sample can then be extracted at the place of analysis, and used directly. 3 . m .MEASUREMENT QF 'QPfflft POTENTIAL’." In Odour Prevention and Control of Organic Sludge and Livestock Farming. CRC Press, 1986. http://dx.doi.org/10.1201/9781482286311-60.

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Conference papers on the topic "Table augmentation"

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Zhang, Han, Yuheng Ma, and Hanfang Yang. "ALTER: Augmentation for Large-Table-Based Reasoning." In Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers). Association for Computational Linguistics, 2025. https://doi.org/10.18653/v1/2025.naacl-long.9.

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Xia, Hao, Ren Li, Yu Chen, and Wenjing Wang. "Few-Shot Table Question Answering for Bridge Intelligent Management via Domain Adaptation and Retrieval Augmentation." In 2024 9th International Conference on Information Science, Computer Technology and Transportation (ISCTT). IEEE, 2024. https://doi.org/10.1109/isctt62319.2024.10875650.

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Myren, Jason, and Jake Weaver. "Methods for Avionics Systems to Support Third Party Development." In Vertical Flight Society 74th Annual Forum & Technology Display. The Vertical Flight Society, 2018. http://dx.doi.org/10.4050/f-0074-2018-12731.

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Today's modern aircraft are built with highly integrated avionics solutions that provide pilots enhanced situational awareness and reduced workload. This paper researches how highly integrated avionics can be architected in a way to simplify modification and augmentation of avionics systems with new features developed by third parties (in addition to the original avionics provider). Our objective is to determine the best technical solution(s) to enhancing avionics system architectures to support third party development. We reviewed technical solutions to enable third party integration, includi
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Weger, Marian, Thomas Hermann, and Robert Höldrich. "AltAR/Table: A Platform for Plausible Auditory Augmentation." In ICAD 2022: The 27th International Conference on Auditory Display. International Community for Auditory Display, 2022. http://dx.doi.org/10.21785/icad2022.005.

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Auditory feedback from everyday interactions can be augmented to project digital information in the physical world. For that purpose, auditory augmentation modulates irrelevant aspects of already existing sounds while at the same time preserving relevant ones. A strategy for maintaining a certain level of plausibility is to metaphorically modulate the physical object itself. By mapping information to physical parameters instead of arbitrary sound parameters, it is assumed that even untrained users can draw on prior knowledge. Here we present AltAR/table, a hard- and software platform for plaus
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Zhang, Shuo, and Krisztian Balog. "Web Table Extraction, Retrieval and Augmentation." In SIGIR '19: The 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval. ACM, 2019. http://dx.doi.org/10.1145/3331184.3331385.

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Glass, Michael, Xueqing Wu, Ankita Rajaram Naik, Gaetano Rossiello, and Alfio Gliozzo. "Retrieval-Based Transformer for Table Augmentation." In Findings of the Association for Computational Linguistics: ACL 2023. Association for Computational Linguistics, 2023. http://dx.doi.org/10.18653/v1/2023.findings-acl.348.

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Weger, Marian, Thomas Hermann, and Robert Höldrich. "Plausible Auditory Augmentation of Physical Interaction." In The 24th International Conference on Auditory Display. The International Community for Auditory Display, 2018. http://dx.doi.org/10.21785/icad2018.024.

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Interactions with physical objects usually evoke sounds, i.e., auditory feedback that depends on the interacting objects (e.g., table, hand, or pencil) and interaction type (e.g., tapping or scratching). The continuous real-time adaptation of sound during interaction enables the manipulation/refinement of perceived characteristics (size, material) of physical objects. Furthermore, when controlled by unrelated external data, the resulting ambient sonifications can keep users aware of changing data. This article introduces the concept of plausibility to the topic of auditory augmentations of phy
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Cannaviccio, Matteo, Lorenzo Ariemma, Denilson Barbosa, and Paolo Merialdo. "Leveraging Wikipedia Table Schemas for Knowledge Graph Augmentation." In SIGMOD/PODS '18: International Conference on Management of Data. ACM, 2018. http://dx.doi.org/10.1145/3201463.3201468.

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Qi, Fei, Xiaoyu Wu, and Ning Wang. "Building Top-k Consistent Results for Web Table Augmentation." In 2017 14th Web Information Systems and Applications Conference (WISA). IEEE, 2017. http://dx.doi.org/10.1109/wisa.2017.30.

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Chen, Haipeng, Sushil Jajodia, Jing Liu, Noseong Park, Vadim Sokolov, and V. S. Subrahmanian. "FakeTables: Using GANs to Generate Functional Dependency Preserving Tables with Bounded Real Data." In Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/287.

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In many cases, an organization wishes to release some data, but is restricted in the amount of data to be released due to legal, privacy and other concerns. For instance, the US Census Bureau releases only 1% of its table of records every year, along with statistics about the entire table. However, the machine learning (ML) models trained on the released sub-table are usually sub-optimal. In this paper, our goal is to find a way to augment the sub-table by generating a synthetic table from the released sub-table, under the constraints that the generated synthetic table (i) has similar statisti
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Reports on the topic "Table augmentation"

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DEPARTMENT OF THE ARMY WASHINGTON DC. Army Policies and Procedures for Establishing Multiple Component Modification Table of Organization and Equipment (MTOE) and Augmentation Tables of Distribution (AUGTDAs) Units. Defense Technical Information Center, 2001. http://dx.doi.org/10.21236/ada402529.

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