Academic literature on the topic 'Spectral decision-making'

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Journal articles on the topic "Spectral decision-making"

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Jorge Rodríguez et al.,, Jorge Rodríguez et al ,. "Multiuser Software Module for Spectral Decision-Making." International Journal of Mechanical and Production Engineering Research and Development 10, no. 3 (2020): 14367–80. http://dx.doi.org/10.24247/ijmperdjun20201369.

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Giral, Diego, Cesar Hernández, and Enrique Rodríguez-Colina. "Spectrum Decision-Making in Collaborative Cognitive Radio Networks." Applied Sciences 10, no. 19 (2020): 6786. http://dx.doi.org/10.3390/app10196786.

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Spectral decision making is a function of the cognitive cycle. It aims to select spectral opportunities within a set of finite possibilities. Decision-making methodologies, based on collaborative information exchanges, are used to improve the selection process. For collaborative decision making to be efficient, decisions need to be analyzed based on the amount of information. Using little data can produce inefficient decisions, and taking a lot of data can result in high computational costs and delays. This document presents three contributions: the incorporation of a collaborative strategy fo
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Michałowska, Krystyna, Tomasz Pirowski, Ewa Głowienka, Bartłomiej Szypuła, and Eva Savina Malinverni. "Sustainable Monitoring of Mining Activities: Decision-Making Model Using Spectral Indexes." Remote Sensing 16, no. 2 (2024): 388. http://dx.doi.org/10.3390/rs16020388.

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In response to the escalating demand for mineral resources and the imperative for sustainable management of natural assets, the development of effective methods for monitoring mining excavations is essential. This study presents an innovative decision-making model that employs a suite of spectral indices for the sustainable monitoring of mining activities. The integration of the Combinational Build-up Index (CBI) with additional spectral indices such as BRBA and BAEI, alongside multitemporal analysis, enhances the detection and differentiation of mining areas, ensuring greater stability and re
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Gusakov, Viktor N., Gulnara Z. Raskildina, and Semen S. Zlotsky. "DIGITAL SOLUTIONS FOR QUALITY CONTROL OF DEMULSIFIERS." Oil and Gas Business, no. 3 (June 7, 2024): 106–22. http://dx.doi.org/10.17122/ogbus-2024-3-106-122.

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Digital technology for quality control of field demulsifiers based on a numerical algorithm for processing digitized Raman spectra (RS) and infrared (IR) spectra was developed and tested. The width of the acceptance limit of the numerical criterion for deciding on the proper quality of demulsifiers for various values of the specific risk of making a false negative decision was calculated. IR and Raman spectra of active substances (Laprols, Neonols, Amines) used for the production of commercial demulsifiers have been registered. Spectral zones and characteristic lines of absorption (IR spectra)
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Rodriguez-Moreno, F., F. Zemek, J. Kren, M. Pikl, V. Lukas, and J. Novak. "Spectral monitoring of wheat canopy under uncontrolled conditions for decision making purposes." Computers and Electronics in Agriculture 125 (July 2016): 81–88. http://dx.doi.org/10.1016/j.compag.2016.05.002.

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Baumgartner, Robert, and Piotr Majdak. "Decision making in auditory externalization perception: model predictions for static conditions." Acta Acustica 5 (2021): 59. http://dx.doi.org/10.1051/aacus/2021053.

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Under natural conditions, listeners perceptually attribute sounds to external objects in their environment. This core function of perceptual inference is often distorted when sounds are produced via hearing devices such as headphones or hearing aids, resulting in sources being perceived unrealistically close or even inside the head. Psychoacoustic studies suggest a mixed role of various monaural and interaural cues contributing to the externalization process. We developed a model framework for perceptual externalization able to probe the contribution of cue-specific expectation errors and to c
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Hernández, Cesar, Diego Giral, and Camila Salgado. "Novel method for multi-user collaborative spectral decision in decentralized cognitive radio networks." Indonesian Journal of Electrical Engineering and Computer Science 37, no. 2 (2025): 888. http://dx.doi.org/10.11591/ijeecs.v37.i2.pp888-902.

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<span>Cognitive radio networks positively impact the performance of wireless communications and have proven to be an excellent alternative for efficient and effective use of the radio spectrum. However, few proposals collaboratively work on decision-making in decentralized cognitive radio networks. The present work refers to a novel method and device that reduces the rate of channel changes during secondary user communications in decentralized cognitive radio networks through a collaborative spectral decision between several secondary users while allowing multiple secondary users access
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Cesar, Hernández Diego Giral Camila Salgado. "Novel method for multi-user collaborative spectral decision in decentralized cognitive radio networks." Indonesian Journal of Electrical Engineering and Computer Science 37, no. 2 (2025): 888–902. https://doi.org/10.11591/ijeecs.v37.i2.pp888-902.

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Cognitive radio networks positively impact the performance of wireless communications and have proven to be an excellent alternative for efficient and effective use of the radio spectrum. However, few proposals collaboratively work on decision-making in decentralized cognitive radio networks. The present work refers to a novel method and device that reduces the rate of channel changes during secondary user communications in decentralized cognitive radio networks through a collaborative spectral decision between several secondary users while allowing multiple secondary users access to the netwo
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Hoidn, Oliver, Aashwin Ananda Mishra, and Apurva Mehta. "Probabilistic Mixture Model-Based Spectral Unmixing." Applied Sciences 14, no. 11 (2024): 4836. http://dx.doi.org/10.3390/app14114836.

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Spectral unmixing attempts to decompose a spectral ensemble into the constituent pure spectral signatures (called endmembers) along with the proportion of each endmember. This is essential for techniques like hyperspectral imaging (HSI) used in environment monitoring, geological exploration, etc. Several spectral unmixing approaches have been proposed, many of which are connected to hyperspectral imaging. However, most extant approaches assume highly diverse collections of mixtures and extremely low-loss spectroscopic measurements. Additionally, current non-Bayesian frameworks do not incorpora
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Ou, Shifeng, Peng Song, and Ying Gao. "Phase-Sensitive Decision-Directed SNR Estimator for Single-Channel Speech Enhancement." International Journal of Pattern Recognition and Artificial Intelligence 31, no. 08 (2017): 1758003. http://dx.doi.org/10.1142/s0218001417580034.

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The a priori signal-to-noise ratio (SNR) plays an essential role in many speech enhancement systems. Most of the existing approaches to estimate the a priori SNR only exploit the amplitude spectra while making the phase neglected. Considering the fact that incorporating phase information into a speech processing system can significantly improve the speech quality, this paper proposes a phase-sensitive decision-directed (DD) approach for the a priori SNR estimate. By representing the short-time discrete Fourier transform (STFT) signal spectra geometrically in a complex plane, the proposed appro
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Dissertations / Theses on the topic "Spectral decision-making"

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Judge, Kevin D. "Decision making in spectroscopy /." View online ; access limited to URI, 2007. http://0-digitalcommons.uri.edu.helin.uri.edu/dissertations/AAI3276987.

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Luke, Lydia R. "Decision-making in autism spectrum conditions." Thesis, University of Cambridge, 2011. https://www.repository.cam.ac.uk/handle/1810/244860.

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Background: The difficulties experienced by intellectually able adults with autism spectrum conditions (ASCs) have been hinted at in autobiographical accounts as well as in the clinical and neuropsychological research literature. Little is known, however, about the nature of these putative difficulties, nor how people with ASCs might best be supported to make decisions for themselves. The aim of this project is to improve understanding of the effects of ASCs on decision-making in a way that may be useful to the development of guidance for those who support decision-making in adults with ASCs.
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Jones, Daphne Jane. "Understanding decision-making relating to out-of-authority placements for pupils with autistic spectrum conditions." Thesis, University of Manchester, 2012. https://www.research.manchester.ac.uk/portal/en/theses/understanding-decisionmaking-relating-to-outofauthority-placements-for-pupils-with-autistic-spectrum-conditions(69de7471-7dd7-4afd-a69c-9b18ece382d0).html.

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This study is concerned with understanding decision-making in relation to out-of-authority educational placements for pupils with an Autistic Spectrum Condition (ASC) in one Local Authority (LA). The aims of this research were twofold. The first was to explore what factors have the greatest impact on the decision to educate pupils with an ASC outside the local authority. The second was to explore the perceptions of key informants about the process for deciding those placements. The study involved examining 24 pupil cases where out-of-authority ASC placements had been agreed and interviews with
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Sheets, Anna M. "Use of a Shared Decision-Making Aid in Pediatric Autism Spectrum Disorder." Xavier University / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=xavier1525290115971692.

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Balatel, Ana <1982&gt. "Essays on decision making by children and adults on the autistic spectrum." Doctoral thesis, Università Ca' Foscari Venezia, 2014. http://hdl.handle.net/10579/4594.

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This thesis presents three essays on decision making by autistic individuals. In the first chapter we draw on the studies germane to decision making and autism to provide an extensive review focused on such crucial aspects as mentalizing, decision making under risk and uncertainty, learning in Autistic Spectrum Disorders (social learning; reinforcement learning), time (concept of time; intertemporal choice) and counterfactual emotions. The review is followed by two related experimental studies with patient population: 'E ects of Counterfactual Emotions on Decision Making of Individuals on the
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Jouini, Wassim. "Contribution to learning and decision making under uncertainty for Cognitive Radio." Thesis, Supélec, 2012. http://www.theses.fr/2012SUPL0010/document.

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L’allocation des ressources spectrales à des services de communications sans fil, sans cesse plus nombreux et plus gourmands, a récemment mené la communauté radio à vouloir remettre en question la stratégie de répartition des bandes de fréquences imposée depuis plus d’un siècle. En effet une étude rendue publique en 2002 par la commission fédérale des communications aux Etats-Unis (Federal Communications Commission - FCC) mit en évidence une pénurie des ressources spectrales dans une large bande de fréquences comprise entre quelques mégahertz à plusieurs gigahertz. Cependant, cette même étude
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Modi, Navikkumar. "Machine Learning and Statistical Decision Making for Green Radio." Thesis, CentraleSupélec, 2017. http://www.theses.fr/2017SUPL0002/document.

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Cette thèse étudie les techniques de gestion intelligente du spectre et de topologie des réseaux via une approche radio intelligente dans le but d’améliorer leur capacité, leur qualité de service (QoS – Quality of Service) et leur consommation énergétique. Les techniques d’apprentissage par renforcement y sont utilisées dans le but d’améliorer les performances d’un système radio intelligent. Dans ce manuscrit, nous traitons du problème d’accès opportuniste au spectre dans le cas de réseaux intelligents sans infrastructure. Nous nous plaçons dans le cas où aucune information n’est échangée entr
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Leptourgos, Pantelis. "Dynamical circular inference in the general population and the psychosis spectrum : insights from perceptual decision making." Thesis, Paris Sciences et Lettres (ComUE), 2018. http://www.theses.fr/2018PSLEE032/document.

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Nous évoluons dans un monde incertain. De ce fait, notre survie dépend de notre capacité à prendre rapidement des décisions, et ce de manière fiable et adaptative. Il est possible de mieux comprendre cette capacité en considérant la perception comme un processus d’inférence probabiliste au cours duquel les informations sensorielles sont combinées à nos attentes pour produire une interprétation plausible de notre environnement. Les théories récentes de psychiatrie computationnelle suggèrent par ailleurs que la grande variabilité des troubles psychiatriques, au rang desquelles figure la schizoph
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Ioannou, Christina. "Facing social threats in adolescents with autism spectrum disorders." Thesis, Paris Sciences et Lettres (ComUE), 2017. http://www.theses.fr/2017PSLEE073/document.

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Les troubles du spectre de l’autisme (TSA) sont caractérisés par des difficultés persistantes dans les domaines de la communication et des interactions sociales. Les individus atteints de TSA ont notamment des difficultés à décoder les émotions d’autrui et il est souvent suggéré qu’un déficit général du traitement des visages émotionnels est à l’origine de ces difficultés. Cependant, les résultats de la littérature sont incohérents et soulignent l'importance de facteurs méthodologiques qui pourraient influencer la performance des personnes TSA. Deux théories actuelles sont pertinentes au regar
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Mishchenko, Marina. "Réciprocité et expression de confiance en situation de prise de décision chez les personnes avec un Trouble du Spectre de l'Autisme (TSA)." Thesis, Sorbonne Paris Cité, 2018. http://www.theses.fr/2018USPCB242.

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L'enjeu de la thèse est de rendre compte de la sensibilité des personnes avec TSA aux différents niveaux de réciprocité dans un contexte virtuel de l'enfance à l'âge adulte. Pour cela, nous avons utilisé deux paradigmes (Cyberball ; Trust game) permettant de faire varier le caractère explicite du contexte social. Notre objectif est de mieux rendre compte de la capacité des personnes avec TSA à différents âges à ajuster leurs décisions au cours d'un jeu virtuel en fonction des attentes de réciprocité sociale. Dans la première étude nous examinons les capacités de discrimination entre trois prof
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Books on the topic "Spectral decision-making"

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Aukerman, Robert. Water recreation opportunity spectrum (WROS) users' guidebook. U.S. Dept. of the Interior, Bureau of Reclamation, Office of Program and Policy Services, 2004.

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Wade, Norman M. The leader's smartbook: [doctrinal guide to military leadership & traiing for full spectrum operations]. 3rd ed. Lightning Press, 2009.

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Snidal, Duncan, and Kenneth W. Abbott. Spectrum of International Institutions. Taylor & Francis Group, 2021.

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Rowland, Susannah, Joy Cumming, and Amanda Webster. Empowering Parents of Children with Autism Spectrum Disorder: Critical Decision-making for Quality Outcomes. Springer, 2016.

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Rowland, Susannah, Joy Cumming, and Amanda Webster. Empowering Parents of Children with Autism Spectrum Disorder: Critical Decision-making for Quality Outcomes. Springer, 2018.

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Rowland, Susannah, Joy Cumming, and Amanda Webster. Empowering Parents of Children with Autism Spectrum Disorder: Critical Decision-making for Quality Outcomes. Springer, 2016.

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Rowland, Susannah, Joy Cumming, and Amanda Webster. Empowering Parents of Children with Autism Spectrum Disorder: Critical Decision-Making for Quality Outcomes. Springer London, Limited, 2016.

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Stavropoulos, Katherine K. M., and James C. McPartland, eds. Differential Diagnosis of Autism Spectrum Disorder. Oxford University PressNew York, 2022. http://dx.doi.org/10.1093/med-psych/9780197516881.001.0001.

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Abstract Differential Diagnosis of Autism Spectrum Disorder describes clinical considerations and best practices related to diagnosing children with autism spectrum disorder (ASD) versus commonly co-occurring conditions. Each chapter focuses on the similarities and differences between ASD and a second diagnosis. For example, one chapter outlines clinical considerations for how to differentiate between ASD and attention-deficit/hyperactivity disorder, another focuses on ASD versus anxiety disorders, and a third relates to ASD versus intellectual disability. All chapters include clinical case st
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Abbott, Kenneth W., and Duncan J. Snidal. Spectrum of International Institutions: An Interdisciplinary Collaboration on Global Governance. Taylor & Francis Group, 2021.

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Abbott, Kenneth W., and Duncan J. Snidal. Spectrum of International Institutions: An Interdisciplinary Collaboration on Global Governance. Taylor & Francis Group, 2021.

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Book chapters on the topic "Spectral decision-making"

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Ramamohanarao, Kotagiri, and Laurence A. F. Park. "Spectral-Based Document Retrieval." In Advances in Computer Science - ASIAN 2004. Higher-Level Decision Making. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-30502-6_30.

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Swigart, John, and Sanjay Lall. "Optimal Controller Synthesis for a Decentralized Two-Player Linear-Quadratic Regulator via Spectral Factorization." In Distributed Decision Making and Control. Springer London, 2012. http://dx.doi.org/10.1007/978-1-4471-2265-4_2.

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Charman, Tony, Susan Hepburn, Moira Lewis, et al. "Emotion and Decision Making." In Encyclopedia of Autism Spectrum Disorders. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-1698-3_100524.

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Navarro, Adrian, María Jose Checa, Francisco Lario, Laura Luquero, Asunción Roldán, and Jesús Estrada. "Monitoring Forest Health: Big Data Applied to Diseases and Plagues Control." In Big Data in Bioeconomy. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-71069-9_25.

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AbstractIn this chapter, we present the technological background needed for understanding the problem addressed by this DataBio pilot. Spain has to face plagues and diseases affecting forest species, like Quercus ilex, Quercus suber or Eucaliptus sp. Consequently, Spanish Public Administrations need updated information about the health status of forests. This chapter explains the methodology created based on remote sensing images (satellite + aerial + Remotely Piloted Aircraft Systems (RPAS)) and field data for monitoring the mentioned forest status. The work focused on acquiring data for esta
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Charles, Aurelie. "Groupthink in Individual Decision-Making." In SpringerBriefs in Economics. Springer Nature Switzerland, 2024. https://doi.org/10.1007/978-3-031-67573-7_1.

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Abstract This chapter provides an understanding of the relationship between this “gut feeling”, the inner sense of personal identity, and the identities attached to the social groups surrounding one’s life experience. It shows that social identities bring us closer or make us depart from the inner self in the way individuals make decisions (Sect. 1.2), act upon those decisions (Sect. 1.3) which eventually impact on the allocation of resources in human interactions (Sect. 1.4). Finally, it shows that the market economy and associated revealed preferences in market exchange are just the tip of t
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Webster, Amanda, Joy Cumming, and Susannah Rowland. "The Cycle of Learning: A Framework for Decision-Making." In Empowering Parents of Children with Autism Spectrum Disorder. Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-2084-1_4.

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Iyama-Kurtycz, Tina. "Assessing Current Developmental Levels and Making a Diagnostic Decision." In Diagnosing and Caring for the Child with Autism Spectrum Disorder. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-26531-1_8.

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Olszewski, Serge, Violetta Demchenko, Eva Zaets, et al. "Streaming Algorithm to the Decomposition of a Polyatomic Molecules Mass Spectra on the Polychlorinated Biphenyls Molecule Example." In Lecture Notes in Computational Intelligence and Decision Making. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-82014-5_3.

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Ueno, Yoshiko. "Diagnostic Imaging of Adherent Placenta Accreta Spectrum (PAS)." In MRI and CT for Decision-Making in Obstetrics and Gynecology Practice. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-97-5120-4_35.

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Levin, Irwin P., Gary J. Gaeth, Aron M. Levin, and Shiyun Chen. "Social Functioning and Decision Making: From Group to Individual Differences Across the Autism Spectrum." In Decision Making by Individuals with Intellectual and Developmental Disabilities. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-74675-9_14.

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Conference papers on the topic "Spectral decision-making"

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Haxhiraj, Eni, Elson Agastra, and Desar Shahu. "Comparison of Multi-Criteria Decision-Making Algorithms for Spectral and Energy Efficiency Trade-off in Massive MIMO Systems." In 2024 International Conference on Software, Telecommunications and Computer Networks (SoftCOM). IEEE, 2024. http://dx.doi.org/10.23919/softcom62040.2024.10721854.

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Gariso, Ruben, Jo�o P. L. Coutinho, Tiago J. Rato, and Marco S. Reis. "Linear and non-linear convolutional approaches and XAI for spectral data: classification of waste lubricant oils." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.103935.

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Waste lubricant oil (WLO) is a hazardous residual that requires proper management, being WLO regeneration the preferred approach. However, regeneration is only viable if the WLO does not coagulate in the equipment. Otherwise, the process needs to be shut down for cleaning and maintenance. To mitigate this risk, a laboratory test is currently used to assess the WLO coagulation potential before it enters the process. This laboratory test is, however, time-consuming, presents several safety risks, and is subjective. To expedite decision-making, process analytics technology (PAT) and machine learn
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Villumsen, S�ren, Jesper Frandsen, Jakob Kj�bsted Huusom, Xiaodong Liang, and Jens Abildskov. "Leveraging Pilot-Scale Data for Real-Time Analysis of Ion Exchange Chromatography." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.151475.

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This study evaluates the potential for computer-aided real-time monitoring and decision-making in pilot-scale ion-exchange chromatography operations using only historical data from the pilot-scale facility. Historical data of flow and conductivity were utilized from students running pilot-scale ion exchanges that resemble industrial ion exchange processes. A Lumped Rate Model (LRM) with a Steric Mass Action (SMA) isotherm was implemented and parameterized to characterize the fixed-bed column. The Discontinuous Galerkin Spectral Element Method (DGSEM), implemented in CADET-Julia, enabled effici
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J., Raymond. "Applications of Virtual Monitoring of Loads to Engineering Decision Making." In Vertical Flight Society 70th Annual Forum & Technology Display. The Vertical Flight Society, 2014. http://dx.doi.org/10.4050/f-0070-2014-9543.

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A virtual tail rotor torque load model was applied to over 500,000 flight hours of operational parametric data from the fleet of S-92® rotorcraft and was used to develop design load spectrum prorates for the design, qualification, and certification of drivetrain components. Fleet parametric data was recorded by an onboard Health and Usage Monitoring System and archived at Sikorsky Aircraft for all active tail numbers since inception. Model training and blind validation was performed using production structural flight load survey test data. To extract meaningful and reliable loads information f
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Zhou, Xiao, Chengzhen Meng, Wenru Liu, Zengqi Peng, Ming Liu, and Jun Ma. "Integrated Intention Prediction and Decision-Making with Spectrum Attention Net and Proximal Policy Optimization." In 2024 IEEE 27th International Conference on Intelligent Transportation Systems (ITSC). IEEE, 2024. https://doi.org/10.1109/itsc58415.2024.10919682.

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YAN, SHAN, HONGJUN WANG, JIN GUO, and TIANRUI LI. "SEMI-SUPERVISED SPECTRAL CLUSTERING ENSEMBLE FOR TRAFFIC SIGN CATEGORIZATION." In Conference on Uncertainty Modelling in Knowledge Engineering and Decision Making (FLINS 2016). WORLD SCIENTIFIC, 2016. http://dx.doi.org/10.1142/9789813146976_0061.

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Abduljabbar, Ahmad M., Julio C. Guzman, and Mohamed El Sheshtawy. "Unconventional Pre-Workover Diagnosis and Decision Making using High Precision Temperature and Spectral Noise Logging: Case Study." In SPE Kingdom of Saudi Arabia Annual Technical Symposium and Exhibition. Society of Petroleum Engineers, 2017. http://dx.doi.org/10.2118/187979-ms.

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Loukis, E., K. Mathioudakis, and K. Papailiou. "Optimizing Automated Gas Turbine Fault Detection Using Statistical Pattern Recognition." In ASME 1992 International Gas Turbine and Aeroengine Congress and Exposition. American Society of Mechanical Engineers, 1992. http://dx.doi.org/10.1115/92-gt-029.

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A method enabling the automated diagnosis of Gas Turbine Compressor blade faults, based on the principles of statistical pattern recognition is initially presented. The decision making is based on the derivation of spectral patterns from dynamic measurements data and then the calculation of discriminants with respect to reference spectral patterns of the faults while it takes into account their statistical properties. A method of optimizing the selection of discriminants using dynamic measurements data is also presented. A few scalar discriminants are derived, in such a way that the maximum av
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Radhakrishnan, Gowtham, Bernt J. Leira, Zhen Gao, Svein Sævik, and Konstantinos Christakos. "Retrieval of Ocean Wave Spectra From X-Band Marine Radar Images Using Inversion Schemes Based on Auto-Spectral Analysis." In ASME 2023 42nd International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2023. http://dx.doi.org/10.1115/omae2023-104877.

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Abstract Estimation of ocean wave conditions is extremely crucial for the planning and execution of demanding marine operations. Further, the Response Based Decision-Making requires accurate wave inputs to derive the responses using a numerical model. The X-band marine radars, installed on top of the vessels, are cost-effective means to assess the incoming wave field. Dedicated full-scale measurements were conducted using the research vessel Gunnerus in the Breisundet field, located on the west coast of Norway. After interaction with the ocean waves, the electromagnetic waves from the radar ar
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Andoniu, Alexandru, Jérôme de Lauzon, Remco Hageman, Pieter Aalberts, Didier L'Hostis, and Alain Ledoux. "Validation of Spectral Fatigue Assessment of a West-Africa FPSO Using Full-Scale Measurements." In Offshore Technology Conference. OTC, 2021. http://dx.doi.org/10.4043/31166-ms.

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Abstract In order to ensure structural integrity and safe operations, fatigue assessment of structural details is a key aspect of design and verification procedures for FPSOs. Spectral fatigue analysis is widely used in the offshore industry to assess damage induced by wave loading. However, the actual fatigue accumulation endured by units in operations usually differs from predictions due to the assumptions made at the design stage. One of the sources of uncertainty is the representation of the encountered sea states. The objective of this paper is to use in-situ measurements as a reference f
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Reports on the topic "Spectral decision-making"

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Cohen, Marvin, Rick Grannis, Elan Freedy, Amos Freedy, and Gershon Weltman. Full Spectrum Tools for Collecting, Analyzing, and Using Cultural Data in Decision Making. Defense Technical Information Center, 2010. http://dx.doi.org/10.21236/ada574141.

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Kessler, Matthew, Annsofie Wahlström, Hanna Weiber-Post, and Ylva Carlqvist Warnborg. Exploring the future of meat : navigating complex topics for better decision making. SLU Future food, Swedish University of Agricultural Sciences, 2023. http://dx.doi.org/10.54612/a.55n5kd18dl.

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This report draws on insights gleaned from putting together the project The future of meat – storytelling and dialogues for improved decision making from 2021-2023, integrating lessons from expert interviews, podcast production, and facilitated workshops. The project was initiated by the SLU Future Food platform at the Swedish University of Agricultural Sciences (SLU), and developed and produced by TABLE, which is a food systems collaboration between the University of Oxford, SLU, and Wageningen University and Research. The aim of the project was to reflect on our own viewpoints and to foster
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Roux, Anne M., Jessica E. Rast, T. Garfield, P. Shattuck, and Lindsay L. Shea. National Autism Indicators Report: Family Perspectives on Services and Support. A.J. Drexel Autism Institute, 2021. http://dx.doi.org/10.17918/familyperspectives2021.

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The families of youth and adults on the autism spectrum provide vital supports across the lifespan. This report explores what family members report about autistic adults: the settings they live in, their access to services, opportunities to participate in their communities, and the choices they have about their services and supports. We also look at the characteristics of family members themselves, how they participate in decision-making and choices about services and providers, and the types of supports they may need themselves to identify and coordinate quality care and to best meet the need
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Issa, Mohsen, Ali Alawieh, and Hussein Daoud. Concrete Bridge Deck Crack Sealing. Illinois Center for Transportation, 2024. http://dx.doi.org/10.36501/0197-9191/24-007.

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Bridge decks are prone to various types of cracking due to a combination of factors, including traffic loads, temperature variations, moisture, and chemical exposure. This report tackles the critical issue of bridge deck cracking by systematically dissecting the problem, exploring various crack types, and emphasizing the crucial inspection and categorization of cracks for effective remediation planning. The report focuses on the selection of appropriate sealants, considering regional conditions. It delves into remediation treatments, offering a spectrum of options based on National Bridge Inve
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Rast, Jessica E., Anne M. Roux, Kristy A. Anderson, et al. National Autism Indicators Report: Health and Health Care. A.J. Drexel Autism Institute, 2020. http://dx.doi.org/10.17918/healthandhealthcare2020.

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Health and health care are critical issues for many children and adults on the autism spectrum. They may experience more frequent use of services and medications. They may need more types of routine and specialty healthcare. And their overall health and mental health care tends to be more complex than people with other types of disabilities and special health care needs. This report provides indicators of health and health care for autistic persons across the lifespan. Topics covered include overall health, health services, medication, insurance, and accessing services. We need to understand h
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Raggo, Paloma, and Caledonia Mathieson. CICP Data Literacy 1.0 - Module 1: Data in the Nonprofit Sector. The Charity Insights Canada Project, 2024. http://dx.doi.org/10.22215/rcin/m.24c1.

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The Charity Insights Canada Project’s (CICP) Community Education Centre (CEC) presents "Data Literacy 1.0," a comprehensive plan aimed at empowering individuals in Canada's nonprofit and charitable sectors with essential data literacy skills. The ability to effectively utilize data has become crucial for organizations to achieve their missions and create significant impact. This series of CEC modules is a collaborative effort to bridge the gap between data and actionable insights, providing the necessary knowledge and tools for participants at any stage of their data literacy journey. Module 1
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Ivaldi, Gilles. A Tipping Point for Far-Right Populism in France. European Center for Populism Studies (ECPS), 2024. http://dx.doi.org/10.55271/rp0070.

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The 2024 French European election took place against the backdrop of an economic and cost-of-living crisis in a context marked by global uncertainty arising from the war in Ukraine, social unrest and deep political discontent with President Emmanuel Macron. Marine Le Pen’s Rassemblement National (RN) emerged as the big winner with 31.4% of the vote, while Macron’s Renaissance list trailed far behind at 14.6%. Meanwhile, Jean-Luc Mélenchon’s left-wing populist La France Insoumise (LFI) won 9.9%, reflecting current internal dissent within the party and deep ideological divisions exposed by the I
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Barker, Ross, and Isabella Buber-Ennser. UNCERTAINTY AND FLEXIBILITY OF FERTILITY INTENTIONS. Verlag der Österreichischen Akademie der Wissenschaften, 2023. http://dx.doi.org/10.1553/0x003e60ec.

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Large-scale survey data is widely used to study the intention to have a(nother) child. However, there are further opportunities to understand how these intentions are revised over the life course and the uncertainty surrounding them. We aim to further outline the importance of simultaneously considering change and uncertainty in fertility decision-making. Specifically, we identify uncertainty in the “probably not” and “probably yes” responses to questions on whether an individual intends to have a(nother) child, and compare the differences in individuals’ stated intention between survey waves.
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Lunn, Pete, Marek Bohacek, Jason Somerville, Áine Ní Choisdealbha, and Féidhlim McGowan. PRICE Lab: An Investigation of Consumers’ Capabilities with Complex Products. ESRI, 2016. https://doi.org/10.26504/bkmnext306.

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Executive Summary This report describes a series of experiments carried out by PRICE Lab, a research programme at the Economic and Social Research Institute (ESRI) jointly funded by the Central Bank of Ireland, the Commission for Energy Regulation, the Competition and Consumer Protection Commission and the Commission for Communications Regulation. The experiments were conducted with samples of Irish consumers aged 18-70 years and were designed to answer the following general research question: At what point do products become too complex for consumers to choose accurately between the good ones
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Negotiating Family and Personal Aspirations: Four Young Cambodian Women Reflecting on Choosing a Major. Cambodia Development Resource Institute, 2024. https://doi.org/10.64202/wp.146.202408.

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Despite recent declines in university enrolment due to the COVID-19 pandemic and other factors, the number of university students has continued to grow in Cambodia. In fact, in its recent Education 2030 Roadmap, the Ministry of Education, Youth and Sport (MoEYS) estimates that there will be twice as many students enrolled in higher education in 2030 as there were in 2018 (MoEYS 2019a, 36). The field students choose as their major when they enrol in higher education orients their pathway into future career opportunities and impacts the country’s educated workforce. The Royal Government of Cambo
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