Gotowe bibliografie tematyczne / Level 1 Features

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Gotowa bibliografia na temat „Level 1 Features”

Autor: Grafiati

Data publikacji: 3 czerwca 2025

Data aktualizacji: 31 lipca 2025

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Artykuły w czasopismach na temat "Level 1 Features"

Krishna, Prasad. K., and Aithal Sreeramana. "Literature Review on Fingerprint Level 1 and Level 2 Features Enhancement to Improve Quality of Image." International Journal of Management, Technology, and Social Sciences (IJMTS) 2, no. 2 (2017): 8–19. https://doi.org/10.5281/zenodo.835608.

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Biometrics is the one most popular property in human distinguishing proof based on physical or behavioral features. The different physiological characteristics are Fingerprint, DNA, Face, hand, retina, ear features, and odor, where as behavioral characteristics or features are typing rhythm, gait, gesture, and voice with the basic premise that all are unique and all human beings are identified by these intrinsic traits. In the physiological traits, Fingerprint is most commonly utilized the biometric feature in diverse fields for identification and verification purpose. Fingerprint features can

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P., S. Aithal, and Prasad K. Krishna. "Fingerprint Image Segmentation: A Review of State of the Art Techniques." International Journal of Management, Technology, and Social Sciences (IJMTS) 2, no. 2 (2017): 28–39. https://doi.org/10.5281/zenodo.848191.

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In Automatic Fingerprint Identification System (AFIS), pre-processing of the image is a crucial process in deciding the quality and performance of the system. Pre-processing is consists many stages as Segmentation, Enhancement, Binarisation, and Thinning. In this segmentation is one of the steps of pre-processing which differentiate foreground and background region of fingerprint images. Segmentation is the separation of the fingerprint region or extraction of the presence of ridges from the background of the initial image. Segmentation is necessary because it constructs the region of interest

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Liu, Eryun, and Kai Cao. "Minutiae Extraction From Level 1 Features of Fingerprint." IEEE Transactions on Information Forensics and Security 11, no. 9 (2016): 1893–902. http://dx.doi.org/10.1109/tifs.2016.2541345.

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Alshdadi, Abdulrahman A., Rubab Mehboob, Hassan Dawood, Madini O. Alassafi, Rayed Alghamdi, and Hussain Dawood. "Exploiting Level 1 and Level 3 features of fingerprints for liveness detection." Biomedical Signal Processing and Control 61 (August 2020): 102039. http://dx.doi.org/10.1016/j.bspc.2020.102039.

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Cappelli, Raffaele, and Matteo Ferrara. "A fingerprint retrieval system based on level-1 and level-2 features." Expert Systems with Applications 39, no. 12 (2012): 10465–78. http://dx.doi.org/10.1016/j.eswa.2012.02.064.

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Fernando, Basura, Elisa Fromont, and Tinne Tuytelaars. "Mining Mid-level Features for Image Classification." International Journal of Computer Vision 108, no. 3 (2014): 186–203. http://dx.doi.org/10.1007/s11263-014-0700-1.

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Wang, Dingyi, and Haishun Du. "Multi-level Salient Feature Mining Network for Person Re-identification." Journal of Physics: Conference Series 2640, no. 1 (2023): 012001. http://dx.doi.org/10.1088/1742-6596/2640/1/012001.

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Abstract Person re-identification (Re-ID) algorithms can retrieve the same pedestrian’s images from an image gallery captured by multiple cameras when given a pedestrian image. Due to changes in pedestrian postures, illuminations, and perspectives, it remains a significant challenge to improve the accuracy of person re-identification. Although the attention mechanism can alleviate some of these issues, it causes attention-based methods to pay excessive attention to features in the most salient areas of images while ignoring discriminant features outside the most salient areas, resulting in the

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Wu, Shaojun, and Ling Gao. "Multi-Level Joint Feature Learning for Person Re-Identification." Algorithms 13, no. 5 (2020): 111. http://dx.doi.org/10.3390/a13050111.

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In person re-identification, extracting image features is an important step when retrieving pedestrian images. Most of the current methods only extract global features or local features of pedestrian images. Some inconspicuous details are easily ignored when learning image features, which is not efficient or robust to for scenarios with large differences. In this paper, we propose a Multi-level Feature Fusion model that combines both global features and local features of images through deep learning networks to generate more discriminative pedestrian descriptors. Specifically, we extract local

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Mei Serin Sitio, Claudia, Yuliant Sibaroni, and Sri Suryani Prasetiyowati. "IDENTIFYING POSSIBLE RUMOR SPREADERS ON TWITTER USING THE SVM AND FEATURE LEVEL EXTRACTION." Jurnal Teknik Informatika (Jutif) 4, no. 3 (2023): 611–18. http://dx.doi.org/10.52436/1.jutif.2023.4.3.868.

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In everyday life, many events occur and give rise to various kinds of information, which are also rumors. Rumors can cause fear and influence public opinion about the event in question. Identifying possible rumor spreaders is extremely helpful in preventing the spread of rumors. Feature extraction can be done to expand the feature set, which consists of conversational features in the form of social networks formed from user replies, user features such as following, tweet count, verified, etc., and tweet features with text analysis such as punctuation and sentiment values. These features become

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Сергей Алексеевич, Воронцов. "ON SOME FEATURES OF ANTI-CORRUPTION AT THE REGIONAL LEVEL." NORTH CAUCASUS LEGAL VESTNIK 1, no. 1 (2020): 130–34. http://dx.doi.org/10.22394/2074-7306-2020-1-1-130-134.

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Rozprawy doktorskie na temat "Level 1 Features"

Baker, Brendan J. "Speaker verification incorporating high-level linguistic features." Thesis, Queensland University of Technology, 2008. https://eprints.qut.edu.au/17665/1/Brendan_Baker_Thesis.pdf.

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Speaker verification is the process of verifying or disputing the claimed identity of a speaker based on a recorded sample of their speech. Automatic speaker verification technology can be applied to a variety of person authentication and identification applications including forensics, surveillance, national security measures for combating terrorism, credit card and transaction verification, automation and indexing of speakers in audio data, voice based signatures, and over-the-phone security access. The ubiquitous nature of modern telephony systems allows for the easy acquisition and deliver

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Carter, Drew Davis. "Characterisation of cardiac signals using level crossing representations." Thesis, Queensland University of Technology, 2019. https://eprints.qut.edu.au/130760/1/Drew_Carter_Thesis.pdf.

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This study examines a type of event-based sampling known as Level Crossing - its behaviour when applied to noisy signals, and an application to cardiac arrhythmia detection. Using a probabilistic approach, it presents a mathematical description of events sampled from noisy signals, and uses the model to estimate characteristics of the underlying clean signal. It evaluates the use of segments of polynomials, calculated from the Level Crossing samples of real cardiac signals, as features for machine learning algorithms to identify various types of arrhythmia.

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Al-Dulaimi, Khamael Abbas Khudhair. "White blood cells classification using higher order spectra and l-moments invariant features." Thesis, Queensland University of Technology, 2021. https://eprints.qut.edu.au/208261/1/Khamael%20Abbas%20Khudhair_Al-Dulaimi_Thesis.pdf.

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This project was a step forward in development of methods to investigate white blood cells and their types. The thesis investigated segmentation and classification methods for white blood cells and their nuclei from other components, such red blood cells, platelets and background, using signal processing, image processing and machine learning techniques, in order to generate automated reports. The outcome of the project was to enhance the accuracy of pathologists’ decisions and their efficiency, and overall benefit patients for faster and more accurate diagnosis of diseases under varying labor

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Nielsen, Kuniko Yasu. "Word-level and feature-level effets in phonetic imitation." Diss., Restricted to subscribing institutions, 2008. http://proquest.umi.com/pqdweb?did=1619097971&sid=1&Fmt=2&clientId=1564&RQT=309&VName=PQD.

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Liu, Xiaofeng. "Machinery fault diagnostics based on fuzzy measure and fuzzy integral data fusion techniques." Thesis, Queensland University of Technology, 2007. https://eprints.qut.edu.au/16456/1/Xiaofeng_Liu_Thesis.pdf.

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With growing demands for reliability, availability, safety and cost efficiency in modern machinery, accurate fault diagnosis is becoming of paramount importance so that potential failures can be better managed. Although various methods have been applied to machinery condition monitoring and fault diagnosis, the diagnostic accuracy that can be attained is far from satisfactory. As most machinery faults lead to increases in vibration levels, vibration monitoring has become one of the most basic and widely used methods to detect machinery faults. However, current vibration monitoring methods larg

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Nguyen, Tien Dung. "Multimodal emotion recognition using deep learning techniques." Thesis, Queensland University of Technology, 2020. https://eprints.qut.edu.au/180753/1/Tien%20Dung_Nguyen_Thesis.pdf.

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This thesis investigates the use of deep learning techniques to address the problem of machine understanding of human affective behaviour and improve the accuracy of both unimodal and multimodal human emotion recognition. The objective was to explore how best to configure deep learning networks to capture individually and jointly, the key features contributing to human emotions from three modalities (speech, face, and bodily movements) to accurately classify the expressed human emotion. The outcome of the research should be useful for several applications including the design of social robots.

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Zarjam, Peggy. "EEG Data acquisition and automatic seizure detection using wavelet transforms in the newborn EEG." Thesis, Queensland University of Technology, 2003. https://eprints.qut.edu.au/15795/1/Pega_Zarjam_Thesis.pdf.

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This thesis deals with the problem of newborn seizre detection from the Electroencephalogram (EEG) signals. The ultimate goal is to design an automated seizure detection system to assist the medical personnel in timely seizure detection. Seizure detection is vital as neurological diseases or dysfunctions in newborn infants are often first manifested by seizure and prolonged seizures can result in impaired neuro-development or even fatality. The EEG has proved superior to clinical examination of newborns in early detection and prognostication of brain dysfunctions. However, long-term new

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Degen, Shane C. "Reactive image-based collision avoidance system for unmanned aircraft systems." Thesis, Queensland University of Technology, 2011. https://eprints.qut.edu.au/46969/1/Shane_Degen_Thesis.pdf.

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Approximately 20 years have passed now since the NTSB issued its original recommendation to expedite development, certification and production of low-cost proximity warning and conflict detection systems for general aviation [1]. While some systems are in place (TCAS [2]), ¡¨see-and-avoid¡¨ remains the primary means of separation between light aircrafts sharing the national airspace. The requirement for a collision avoidance or sense-and-avoid capability onboard unmanned aircraft has been identified by leading government, industry and regulatory bodies as one of the most significant challenges

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Swain, Satyabrata. "Level 3 Feature Based Fingerprint Identification." Thesis, 2014. http://ethesis.nitrkl.ac.in/6888/1/satyabrata_Mtech(r)_2015.pdf.

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In this thesis, two novel schemes have been proposed: one scheme on dots and incipient ridges extraction and another scheme on matching using level 2 and level 3 features. Dots and incipient ridges are extracted by tracing valley. Starting points are found on the valley by analyzing the frequencies present in the fingerprint. Valleys are traced from the starting point using Fast Marching Method (FMM). An intensity based checking method is used for finding these feature points. Delaunay triangle has been constructed using level 2 feature. A novel algorithm of selecting compatible triangle pair

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Radhika, V. Bhawani. "Biometric Identification Systems: Feature Level Clustering of Large Biometric Data and DWT Based Hash Coded Bar Biometric System." Thesis, 2009. http://ethesis.nitrkl.ac.in/1338/1/thesis_intro(2).pdf.

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Biometric authentication systems are fast replacing conventional identification schemes such as passwords and PIN numbers. This paper introduces a novel matching scheme that uses a image hash scheme. It uses Discrete Wavelet Transformation (DWT) of biometric images and randomized processing strategies for hashing. In this scheme the input image is decomposed into approximation, vertical, horizontal and diagonal coefficients using the discrete wavelet transform. The algorithm converts images into binary strings and is robust against compression, distortion and other transformations. As a case s

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Książki na temat "Level 1 Features"

Maxi, Scherer. 1 Introduction. Oxford University Press, 2018. http://dx.doi.org/10.1093/law/9780198805786.003.0001.

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This chapter discusses energy arbitration and its importance on an international level. Given the important economic, political, and societal issues at hand, energy-related disputes arise frequently throughout the world, and arbitration has been the most popular means to resolve international disputes in the energy sector. The chapter provides a non-exhaustive list of common features of energy projects, revealing their inherent complexity and thus the need to approach energy-related disputes in a holistic fashion. It also stresses the importance of arbitration to resolve international energy-r

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Taljanovic, Mihra S., Imran M. Omar, Kevin B. Hoover, and Tyson S. Chadaz, eds. Musculoskeletal Imaging Volume 1. Oxford University Press, 2019. http://dx.doi.org/10.1093/med/9780190938161.001.0001.

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This volume meets the needs of radiology residents to become adept at interpreting musculoskeletal (MSK) imaging studies. It does so by presenting core knowledge and fundamentals that must be learned to accurately and effectively interpret MSK studies by the trainee and non-specialist. The goal is to impart to residents, as well as to refresh for practitioners, essential facts in a concise and readable format so the reader becomes conversant with all imaging modalities used and the essentials of interpretation and technique. Other resources are at too high a level for the resident in training

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Explore and Discover: Level 1 reading book sets for kids age 3-5 features Childrens Non Fiction Books : (6-Book Set 1-6 My Amazing Bones, Astronauts a kid's guide, I Like Dinosaurs, In The Ocean, When I grow up, Kindness Is King). KIDS READ DAILY, 2023.

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Horner, Robert R., and Kent McIntosh. Reducing Coercion in Schools. Edited by Thomas J. Dishion and James Snyder. Oxford University Press, 2015. http://dx.doi.org/10.1093/oxfordhb/9780199324552.013.24.

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The use of punitive discipline systems in schools establishes the foundation of coercive dynamics. Adults all too often establish aversive contingencies that inadvertently prompt and maintain unwanted behavior by students. Three recent themes in addressing school discipline systems include (1) emphasizing reward of desired behavior above punishment of undesired behavior, (2) implementing systems of support at the whole-school level, and (3) introducing a “multitiered” approach to discipline systems that matches the level of support to the need of the student. These three themes are linked with

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Tran, Thanh V., Tam Nguyen, and Keith Chan. Item Response Theory in Cross-Cultural Measurement. Oxford University Press, 2018. http://dx.doi.org/10.1093/acprof:oso/9780190496470.003.0005.

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Item response theory (IRT) is a modern measurement theory that, as its name implies, focuses mainly at the item level as opposed to the test level. The underlying principle of IRT is that a relationship exists between an individual’s ability and how the individual responds to items on a test. IRT offers item-level details not provided through classical approaches. The aims of this chapter are to (1) provide a brief overview of IRT, (2) demonstrate the basic features of IRT using existing data, and (3) walk the reader through the key steps in conducting IRT analysis using IRTPRO®. IRT has also

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Pediatric ICD-10-CM 2018: A Manual for Provider-Based Coding. American Academy of Pediatrics, 2017. http://dx.doi.org/10.1542/9781610021074.

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For the pediatric provider, coder, and biller, here's the most helpful and easy-to-use manual on ICD-10-CM yet. Featuring a laser-sharp pediatrics focus, it provides codes and guidelines in a simplified, yet familiar format. This purpose-built tool streamlines the coding process by condensing the vast ICD-10-CM code set to only pediatric-centered guidelines and codes. This yields a 50% reduction of codes to search for faster, efficient coding. The guidelines are included directly at the chapter and code level, helping ensure that coders will always use the right codes in the right situations.

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Mickevič, Jolanta, Andrius Utka, Sigita Rackevičienė, et al. English-Lithuanian parallel cybersecurity corpus - DVITAS v2.0. Vytauto Didžiojo universitetas, 2024. https://doi.org/10.7220/20.500.12259/274265.

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English-Lithuanian parallel corpus DVITAS v2 includes original English texts on cybersecurity and their Lithuanian translations aligned on the sentence level. Version 1 of the corpus was compiled for the bilingual terminology extraction project DVITAS together with English-Lithuanian comparable corpus. The current 2nd version of the corpus features expansion of the 1st version containing additional 27 files and metadata information. The parallel corpus includes the EU legal acts and other documents from the time period of 2006-2022. The documents have been extracted from the EUR-Lex database a

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Jai, Tunmin Catherine, and Jihyun Vick. Omnichannel Retailing for the Fashion Business. Bloomsbury Publishing Inc, 2025. https://doi.org/10.5040/9781501377068.

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Retailing is an ever-changing facet in the fashion industry. Where brick-and-mortar used to reign supreme, digital is the current go-to for most consumers. Omnichannel retailing makes this process more seamless and has become the industry standard. This book covers both the strategic and practical sides of omnichannel retailing, with a focus on utilization of US-based e-commerce platforms. This textbook consists of three parts: 1) Build- how to build an omnichannel retail business; 2) Market- how to market via different digital marketing channels; and 3) Operate- the operational side of omnich

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Shaver, John H., Grant Purzycki, and Richard Sosis. Evolutionary Theory. Edited by Michael Stausberg and Steven Engler. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780198729570.013.9.

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People in all cultures entertain beliefs in supernatural agents and engage in ritual behaviors that are related to those beliefs. This suggests that religion is a product of a shared evolutionary history. Currently researchers employ three major evolutionary frameworks to study religion—evolutionary psychology, behavioral ecology, and dual-inheritance theory—each with different assumptions, methods, and areas of focus. This chapter surveys these approaches and describes the major sources of disagreement between them. Two of the largest sources of disagreement among evolutionary scholars of rel

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Ready, Jonathan L., ed. Oxford Critical Guide to Homer's Iliad. Oxford University PressOxford, 2024. http://dx.doi.org/10.1093/oso/9780198869870.001.0001.

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Abstract The Oxford Critical Guide to Homer’s Iliad investigates each of the Iliad’s twenty-four books, proceeding in order from books 1 to 24 and devoting one chapter to each book. Contributors summarize the plot of a book and then explore its themes and poetics, providing both close readings of individual passages and synthetic reviews of current scholarship. This format allows readers to study the poem in the same manner in which they read it: book by book. Differing from other introductions to the Iliad that comprise chapters on specific topics and themes, the volume offers accessible and

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Części książek na temat "Level 1 Features"

Castellanos, José A., and Juan D. Tardós. "Detecting High-Level Features by Multisensor Fusion." In Mobile Robot Localization and Map Building. Springer US, 1999. http://dx.doi.org/10.1007/978-1-4615-4405-0_4.

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Halang, Wolfgang A., and Alexander D. Stoyenko. "Real Time Features of High Level Languages." In Constructing Predictable Real Time Systems. Springer US, 1991. http://dx.doi.org/10.1007/978-1-4615-4032-8_2.

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Kocin, Paul J., and Louis W. Uccellini. "Synoptic Descriptions of Major Snowstorms: Upper-Level Features." In Northeast Snowstorms. American Meteorological Society, 2004. http://dx.doi.org/10.1007/978-1-878220-32-5_4.

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Kocin, Paul J., and Louis W. Uccellini. "Description of Upper-Level Features Associated with the Snowstorms." In Snowstorms Along the Northeastern Coast of the United States: 1955 to 1985. American Meteorological Society, 1990. http://dx.doi.org/10.1007/978-1-940033-93-8_5.

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Bensusán, Graciela, and Willebaldo Gómez Zuppa. "Employee Participation at Plant Level in Mexico: Features and Possibilities." In The Palgrave Handbook of Workers’ Participation at Plant Level. Palgrave Macmillan US, 2019. http://dx.doi.org/10.1057/978-1-137-48192-4_24.

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Agarwal, Diwakar, and Atul Bansal. "Assessment of Latent Fingerprint Image Quality Based on Level 1, Level 2, and Texture Features." In Advances in Intelligent Systems and Computing. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-5113-0_38.

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Rao, K. Sreenivasa, and Shashidhar G. Koolagudi. "Robust Emotion Recognition using Sentence, Word and Syllable Level Prosodic Features." In SpringerBriefs in Electrical and Computer Engineering. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-6360-3_3.

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Federspiel, William J. "Nonclassical Features of Gas Transport and Exchange at the Alveolar Level." In Respiratory Biomechanics. Springer New York, 1990. http://dx.doi.org/10.1007/978-1-4612-3452-4_11.

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Suomi, Tomi, and Laura L. Elo. "Accurate Detection of Differential Expression and Splicing Using Low-Level Features." In Methods in Molecular Biology. Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4939-6518-2_11.

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Tang, Jinshan, and Xiaoming Liu. "Classification of Breast Mass in Mammography with an Improved Level Set Segmentation by Combining Morphological Features and Texture Features." In Multi Modality State-of-the-Art Medical Image Segmentation and Registration Methodologies. Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-8204-9_5.

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Streszczenia konferencji na temat "Level 1 Features"

Pastor, Eliana, Alkis Koudounas, Giuseppe Attanasio, Dirk Hovy, and Elena Baralis. "Explaining Speech Classification Models via Word-Level Audio Segments and Paralinguistic Features." In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers). Association for Computational Linguistics, 2024. https://doi.org/10.18653/v1/2024.eacl-long.136.

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Qin, Xingli, Bingfang Wu, Hongwei Zeng, et al. "An Object-Level Multi-Source Transfer Learning Method Integrating Optical and SAR Features: A Case Study of Gaofen, Ziyuan, and Sentinel-1 Satellites." In IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2024. http://dx.doi.org/10.1109/igarss53475.2024.10642882.

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Li, Yanping, Mona Abdolrazaghi, Len Krissa, and Gordon Fredine. "Validation of Corrosion Growth Rate Models." In CORROSION 2017. NACE International, 2017. https://doi.org/10.5006/c2017-09504.

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Abstract Corrosion growth rate (CGR) is one of the key elements in corrosion threat management. It is used to determine metal loss In-Line Inspection (ILI) re-assessment interval, identify high growth features that require excavation before the next ILI and predict probability of failure of an unmitigated feature. Overestimated CGR may result in unnecessary expenditures for excavations and remediation, while underestimated CGR could result in pipeline failure. Although there are many methods to derive CGR from successive ILIs, there is no particular approach widely accepted by industry. In thi

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Whalley, Matthew, Chad Goerzen, Marc Takahashi, et al. "Flight Test Results for a New Mission-Adaptive Autonomy System on the RASCAL JUH-60A Black Hawk." In Vertical Flight Society 72nd Annual Forum & Technology Display. The Vertical Flight Society, 2016. http://dx.doi.org/10.4050/f-0072-2016-11567.

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Flight test results are presented for a pilot-selectable autonomous system designed within a framework termed "Mission-Adaptive Autonomy." The system was tested on the U.S. Army Aviation Development Directorate (ADD) RASCAL JUH-60A Black Hawk and included features such as obstacle field navigation, safe landing area determination with selectable landing points, threat avoidance, selectable flight level control, any-time redirection, and pilot-autonomy shared control. Control and display interfaces were designed to enable a pilot to work in concert with the available autonomy. Autonomy status a

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Paulino, Alessandra A., Eryun Liu, Kai Cao, and Anil K. Jain. "Latent fingerprint indexing: Fusion of level 1 and level 2 features." In 2013 IEEE 6th International Conference on Biometrics: Theory, Applications and Systems (BTAS). IEEE, 2013. http://dx.doi.org/10.1109/btas.2013.6712748.

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Liu, Frederick, Han Lu, Chieh Lo, and Graham Neubig. "Learning Character-level Compositionality with Visual Features." In Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). Association for Computational Linguistics, 2017. http://dx.doi.org/10.18653/v1/p17-1188.

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Ortiz-Zambrano, Jenny A., and Arturo Montejo-Ráez. "Complex words identification using word-level features for SemEval-2020 Task 1." In Proceedings of the 15th International Workshop on Semantic Evaluation (SemEval-2021). Association for Computational Linguistics, 2021. http://dx.doi.org/10.18653/v1/2021.semeval-1.11.

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Kim, Tae-Woon, Sang-Hoon Han, and Hae-Yong Jeong. "Preliminary Level 1 PSA Results for SFR-600 Conceptual Design." In 18th International Conference on Nuclear Engineering. ASMEDC, 2010. http://dx.doi.org/10.1115/icone18-30367.

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A sodium-cooled fast reactor (SFR), SFR-600, is under development at KAERI. Its fuel is the metal fuel of U-TRU-Zr and it uses sodium as coolant. Its advantages are found in the aspects of an excellent uranium resource utilization, inherent safety features, and non-proliferation. SFR-600 has passive safety features such as passive shutdown functions, passive pump coast-down features, and passive decay heat removal systems. It has inherent reactivity feedback effects. The probabilistic safety assessment (PSA) will be one of the initiating subjects for designing it from the aspects of a risk inf

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Menon, U., S. Aprodu, R. Bettig, et al. "ACR-1000™ Level 1 PSA Summary." In 17th International Conference on Nuclear Engineering. ASMEDC, 2009. http://dx.doi.org/10.1115/icone17-76048.

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The ACR-1000™ developed by Atomic Energy of Canada Limited (AECL) is a 1200 MWe - pressure tube type, light-water-cooled and heavy-water-moderated reactor, which has evolved from the well-established CANDU™ line of reactors. It retains the basic proven CANDU design features while incorporating innovations and state-of-the-art technologies to ensure fully competitive safety, operation, performance and economics. The major innovation in the ACR-1000 is the use of slightly enriched uranium fuel and light water coolant. ACR-1000 is a four-quadrant design (for easier maintenance and improved reliab

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Zavarzin, Y. D., and V. Y. Waispapir. "Design features of the S-band attenuator." In Modern Problems of Telecommunications - 2024. Siberian State University of Telecommunications and Information Systems, 2024. http://dx.doi.org/10.55648/spt-2024-1-51.

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Raporty organizacyjne na temat "Level 1 Features"

Gajera, Hardik, Srinivas S. Pulugurtha, and Sonu Mathew. Influence of Level 1 and Level 2 Automated Vehicles on Fatal Crashes and Fatal Crash Occurrence. Mineta Transportation Institute, 2022. http://dx.doi.org/10.31979/mti.2022.2034.

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Connected and automated vehicles (CAVs) are expected to improve safety by gradually reducing human decisions while driving. However, there are still questions on their effectiveness as we transition from almost 0% CAVs to 100% CAVs with different levels of vehicle autonomy. This research focuses on synthesizing literature and identifying risk factors influencing fatal crashes involving level 1 and level 2 CAVs in the United States. Fatal crashes involving level 0 vehicles—ones that are not connected and automated—were compared to minimize unobserved heterogeneity and randomness associated with

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Meda, Pranav, Aubrey Victoria Contreras, Wei-Hsiang Lo, Gaojian Huang, and Yue Luo. Insights for the Future of Car Rental and Ridesharing: Driving Behavior Across Different Levels of Automation. Mineta Transportation Institute, 2025. https://doi.org/10.31979/mti.2024.2427.

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Autonomous vehicles are reshaping the car rental and ridesharing industries, potentially leading to a unified model of on-demand transportation suitable for both uncommon (e.g., business trips) and daily commuting. An exploratory study of human behavior towards autonomous vehicles can uncover the challenges and opportunities inherent in different levels of vehicle automation. This study aims to (a) identify behavioral differences in drivers operating vehicles at various levels of automation and (b) explore how these behaviors vary with different assistance feature styles, specifically between

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Rana, Arnav, and Sanjay Tiku. PR-214-223806-R01 Guidance for Performing Engineering Critical Assessments for Dents on Natural Gas Pipelines. Pipeline Research Council International, Inc. (PRCI), 2023. http://dx.doi.org/10.55274/r0000044.

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This project builds on mechanical damage (MD) assessment and management tools, developed on behalf of Pipeline Research Council International (PRCI), Interstate Natural Gas Association of America (INGAA), Canadian Energy Pipeline Association (CEPA), American Petroleum Institute (API), other research organizations and individual pipeline operators and included in API RP 1183 [1]. These include dent shape, restraint condition and interacting feature characterization; operational maximum and cyclic internal pressure characterization, screening tools defining non-injurious dent shapes based on pip

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Guo, Libo, and Ruihua Zhang. Building a Singapore learner corpus of English writing for pedagogy. National Institute of Education, Nanyang Technological University, Singapore, 2020. https://doi.org/10.32658/10497/28997.

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This project seeks to (1) build a learner corpus of English writing by collecting sample language data at Primary 6, Secondary 4, and Junior College 2 levels; (2) generate linguistic profiles for these stages and analyze/compare lexical, grammatical and discoursal features across these stages to track the development of English writing; (3) inform the learning, teaching and curriculum design of English writing; and (4) contribute to the theorization on the nature of writing development (Christie & Derewianka, 2008). It attempts to answer the following research questions: 1. What are the le

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Seroussi, E., L. Ma, and G. Liu. Genetic analyses of recombination and PRDM9 alleles and their implications in dairy cattle breeding. United States-Israel Binational Agricultural Research and Development Fund, 2020. http://dx.doi.org/10.32747/2020.8134158.bard.

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Meiotic recombination is one of the important phenomena contributing to gamete genome diversity. However, it is not well studied in livestock including cattle. The general objectives of this project were to perform genetic analyses of recombination and PRDM9 alleles and study their implications in dairy cattle breeding. The specific objectives were: 1. Analyze variation in recombination across individuals, breeds, and environments; 1.1.Construct individual-level recombination maps; 1.2.Compare recombination features between bulls held under different environmental conditions in US and Israeli;

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Wang, Chih-Hao, and Na Chen. Do Multi-Use-Path Accessibility and Clustering Effect Play a Role in Residents' Choice of Walking and Cycling? Mineta Transportation Institute, 2021. http://dx.doi.org/10.31979/mti.2021.2011.

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The transportation studies literature recognizes the relationship between accessibility and active travel. However, there is limited research on the specific impact of walking and cycling accessibility to multi-use paths on active travel behavior. Combined with the culture of automobile dependency in the US, this knowledge gap has been making it difficult for policy-makers to encourage walking and cycling mode choices, highlighting the need to promote a walking and cycling culture in cities. In this case, a clustering effect (“you bike, I bike”) can be used as leverage to initiate such a trend

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Alexander, Serena E., Mariela Alfonzo, and Kevin Lee. Safeguarding Equity in Off-Site Vehicle Miles Traveled (VMT) Mitigation in California. Mineta Transportation Institute, 2021. http://dx.doi.org/10.31979/mti.2021.2027.

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Historically, the State of California assessed the environmental impacts of proposed developments based on how it was projected to affect an area’s level of service (LOS). However, as LOS focused on traffic delays, many agencies simply widened roads, which was an ineffective way to reduce greenhouse gas emissions (GHGs). With the passage of Senate Bill (SB)743 in 2013, LOS was replaced by Vehicle Miles Traveled (VMT) as a more appropriate metric by which to gauge the environmental impacts of proposed development. Additionally, SB 743 presented an opportunity for off-site VMT mitigation strateg

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Piercy, Candice, Brandon Boyd, Emily Russ, and Kyle Runion. Systematic beneficial use of dredged sediments : matching sediment needs with dredging requirements. Engineer Research and Development Center (U.S.), 2022. http://dx.doi.org/10.21079/11681/45443.

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This technical note (TN) will outline a framework to identify beneficial and cost-effective coastal beneficial use of dredged sediment (BUDS) projects. Creation of a BUDS framework that can be applied at scale will promote sustainable BUDS practices, facilitating the delivery of flood risk management, social, and environmental benefits while still fulfilling the US Army Corps of Engineers (USACE) navigation mission. This proactive forecasting approach uses multi-criteria decision analysis (MCDA) and optimization tools to balance tradeoffs between navigation dredging and BUDS goals over project

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Krishnamurthy, Ravi, and Udayansankar Arumugam. PR-328-223807-R01 Development of guidance document for performing ECA in accordance with Megarule. Pipeline Research Council International, Inc. (PRCI), 2023. http://dx.doi.org/10.55274/r0000037.

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Dents and mechanical damage in pipelines can present a threat to pipeline integrity that requires proactive management. The focus of this document is on dent strain assessment and mitigating the possible initiation of a crack within the dent. The objective of this MD-5-03 project is to develop and deliver a technical guidance document on mechanical damage engineering critical assessment (ECA) comprising a set of guidelines and assessment procedures, which pipeline operators could utilize as part of a dent ECA. The research consists of two tasks, namely, Task 1: Establish dent strain limit usin

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Bergeron, Augustin, Arnaud Fournier, John Kabeya Kabeya, Gabriel Tourek, and Jonathan L. Weigel. Using Machine Learning to Create a Property Tax Roll: Evidence from the City of Kananga, D.R. Congo. Institute of Development Studies, 2024. http://dx.doi.org/10.19088/ictd.2024.101.

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Governments in the world’s poorest countries face severe revenue constraints. They typically collect less than 10 per cent of GDP in taxes, compared to 25–50 per cent in high-income countries. The literature on state capacity and development argues that inability to collect taxes is at the heart of why low-income countries are as poor as they are. It suggests that the path to economic prosperity may begin with investment in governments’ capacity to collect the tax revenue necessary to provide public goods that enhance productivity. Property taxation is often the primary source of government re

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