Relevant bibliographies by topics / Consumer profiling – data processing

Contents

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

Academic literature on the topic 'Consumer profiling – data processing'

Author: Grafiati
Published: 26 July 2024
Last updated: 31 July 2025

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Journal articles on the topic "Consumer profiling – data processing"

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Quinelato, Pietra Daneluzzi. "Consumer manipulation through behavioral advertising." Brazilian Journal of Law, Technology and Innovation 2, no. 1 (2024): 1–24. http://dx.doi.org/10.59224/bjlti.v2i1.1-24.

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In the contemporary era marked by technological advancements and pervasive use of social media, there has been a notable surge in the collection and subsequent processing of personal data, transforming them into economic assets exploited by corporations. This phenomenon gives rise to a "surveillance society" or "mental capitalism," prominently characterized by the customization of advertisements based on users' consumption profiles and behaviors. Despite its focus on personalized advertising, this practice frequently employs persuasive techniques that possess the potential to influence consume
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J. Wulf, Alexander, and Ognyan Seizov. "Artificial Intelligence and Transparency: A Blueprint for Improving the Regulation of AI Applications in the EU." European Business Law Review 31, Issue 4 (2020): 611–40. http://dx.doi.org/10.54648/eulr2020024.

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The adoption of Artificial Intelligence is steadily increasing, but the underlying algorithms have become so complex that they are no longer transparent. The EU has introduced some modest AI transparency requirements as part of its General Data Protection Regulation. However, two years after their introduction, the effectiveness of these rules remains questionable. Our aim is to contribute towards the further development of a governance framework for AI. We begin by explaining how the algorithms that enable the speed and data processing power of AI also obscure its transparency. We review how
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Panagiotou, Malamatenia, Efstathios Kaloudis, Danai Ioanna Koukoumaki, et al. "Key Drivers of Consumption, Conceptual, Sensory, and Emotional Profiling of Cheeses Based on Origin and Consumer Familiarity: A Case Study of Local and Imported Cheeses in Greece." Gastronomy 2, no. 4 (2024): 141–54. http://dx.doi.org/10.3390/gastronomy2040011.

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The origin of a product, consumer familiarity, and purchasing identity are factors that affect the perception of cheese consumption. The present study aims at identifying consumers’ conceptualizations and attitudes towards local Greek cheeses of the North-Aegean Sea islands, such as Ladotyri, Graviera, Kasseri, Kaskavali, Melichloro, and Kalathaki, some of which have a Protected Designation of Origin (PDO) status, as opposed to cheeses of non-Greek origin, such as Cheddar, Regatto, and Gouda. Sensory and emotional attributes of local, local PDO, and imported cheeses, as well as drivers associa
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Munzil, Fontian, and Nadisah Zakaria. "Indonesian Omnichannel Banking: How Far Do Governing Laws Protect Customer's Data Privacy." Jurnal Hukum dan Peradilan 12, no. 1 (2023): 29. http://dx.doi.org/10.25216/jhp.12.1.2023.29-56.

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In the digital transformation era, banks have been working to implement a digital strategy that will lead to lower costs, better service, higher profitability, and the desired level of customer satisfaction. Utilising marketing technology for consumer engagement is essential to bringing in more customers without increasing costs. Omnichannel is the marketing strategy that offers more services to customers by having them interact with it across all available physical and digital channels at any time, resulting in higher customer satisfaction and loyalty. Customer data is significant information
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Fowler, S. M., J. M. Hoban, G. Melville, D. W. Pethick, S. Morris, and D. L. Hopkins. "Maintaining the appeal of Australian lamb to the modern consumer." Animal Production Science 58, no. 8 (2018): 1392. http://dx.doi.org/10.1071/an17773.

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Aligning the production of lamb cuts with consumer preferences is an ongoing challenge for the Australian lamb supply chain. In recent decades, genetic and on-farm management practices have improved, while the demographics of consumers and their consumption patterns have changed. This has resulted in larger traditional lamb cuts, which have less appeal to modern consumers. Therefore, research has been conducted to determine the potential to fabricate new value-added lamb cuts from heavier carcasses, determine consumer preferences for lamb roasts, investigate the impact of increasing carcass we
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Karima Velasquez, David Perez Abreu, Pedro Neves, et al. "Cognitive customer profiling at the edge: Challenges and research directions." ITU Journal on Future and Evolving Technologies 5, no. 3 (2024): 356–67. http://dx.doi.org/10.52953/wurt4309.

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The proliferation of automated services and applications has generated large amounts of data that must be handled with artificial intelligence and machine learning techniques, impacting businesses in different fields. Cognitive customer profiling services allow a better user experience enabling the tailoring of the customer experience to specific consumer patterns and preferences. Cognitive customer profiling services require heavy processing power in order to get accurate results from the artificial intelligence/machine learning models, which has led to services taking advantage of the cloud-
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Wójcik, Szymon, Filip Ciepiela, Bogusław Baś, and Małgorzata Jakubowska. "ASTOSOWANIE METOD CHEMOMETRYCZNYCH DO WOLTAMPEROMETRYCZNEGO PROFILOWANIA ŻYWNOŚCI." Wiadomości Chemiczne 79, no. 1 (2025): 39–58. https://doi.org/10.53584/wiadchem.2025.1.3.

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The development of society and the rise in consumer awareness generate the need for rapid and precise analysis of food products to ensure their high quality. Consumers are increasingly paying attention to the origin, composition, and production processes of food. Heightened competition among producers and rising production costs lead to serious challenges, such as food product adulteration to lower prices and maximize profits. This study presents results of analysis of a wide range of food products, including wines, whiskies, apple juices, honey, isotonic drinks, and plant-based milks. The res
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Dahunsi, Folasade M., Abayomi E. Olawumi, Daniel T. Ale, and Oluwafemi A. Sarumi. "A systematic review of data pre-processing methods and unsupervised mining methods used in profiling smart meter data." AIMS Electronics and Electrical Engineering 5, no. 4 (2021): 284–314. http://dx.doi.org/10.3934/electreng.2021015.

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<abstract> <p>The evolution of smart meters has led to the generation of high-resolution time-series data - a stream of data capable of unveiling valuable knowledge from consumption behaviours for different applications. The ability to extract hidden knowledge from such massive amounts of data requires that it be analysed intelligently. Hence, for a clear representation of the various consumption behaviours of consumers, a good number of data mining technologies are usually employed. This paper presents a systematic review of the various data mining techniques and methodologies emp
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Baggerly, Keith A., Kevin R. Coombes, and Jeffrey S. Morris. "Bias, Randomization, and Ovarian Proteomic Data: A Reply to “Producers and Consumers”." Cancer Informatics 1 (January 2005): 117693510500100. http://dx.doi.org/10.1177/117693510500100101.

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Proteomic patterns derived from mass spectrometry have recently been put forth as potential biomarkers for the early diagnosis of cancer. This approach has generated much excitement, particularly as initial results reported on SELDI profiling of serum suggested that near perfect sensitivity and specificity could be achieved in diagnosing ovarian cancer. However, more recent reports have suggested that much of the observed structure could be due to the presence of experimental bias. A rebuttal to the findings of bias, subtitled “Producers and Consumers”, lists several objections. In this paper,
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Olawumi, A. E., and F. M. Dahunsi. "Load profiling of commercial and residential building using clustering technique." Nigerian Journal of Technology 42, no. 2 (2023): 257–63. http://dx.doi.org/10.4314/njt.v42i2.14.

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Data mining is a promising tool used in processing energy data collected from energy consumers. The knowledge derived from energy data is very pertinent in the formulation of various demand-side management programs. This paper uses clustering techniques to segment the energy consumption patterns of residential and commercial buildings; situated at different geographical locations. The two (2) commonly used clustering techniques: K-Means and Agglomerative Hierarchical Clustering, were employed. The result indicates that the choice of clustering technique for load profiling is highly subjective
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Dissertations / Theses on the topic "Consumer profiling – data processing"

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Forshed, Jenny. "Processing and analysis of NMR data : Impurity determination and metabolic profiling." Doctoral thesis, Stockholm : Dept. of analytical chemistry, Stockholm university, 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-712.

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Arikan, Erinc. "Attack profiling for DDoS benchmarks." Access to citation, abstract and download form provided by ProQuest Information and Learning Company; downloadable PDF file Mb., 96 p, 2006. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&res_dat=xri:pqdiss&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&rft_dat=xri:pqdiss:1435821.

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Retelius, Philip, and Persson Eddie Bergström. "Creating a Customizable Component Based ETL Solution for the Consumer." Thesis, KTH, Hälsoinformatik och logistik, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-296819.

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In today's society, an enormous amount of data is created that is stored in various databases. Since the data is in many cases stored in different databases, there is a demand from organizations with a lot of data to be able to merge separated data and get an extraction of this resource. Extract, Transform and Load System (ETL) is a solution that has made it possible to easily merge different databases. However, the ETL market has been owned by large actors such as Amazon and Microsoft and the solutions offered are completely owned by these actors. This leaves the consumer with little ownershi
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Abedjan, Ziawasch, and Felix Naumann. "Advancing the discovery of unique column combinations." Universität Potsdam, 2011. http://opus.kobv.de/ubp/volltexte/2011/5356/.

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Unique column combinations of a relational database table are sets of columns that contain only unique values. Discovering such combinations is a fundamental research problem and has many different data management and knowledge discovery applications. Existing discovery algorithms are either brute force or have a high memory load and can thus be applied only to small datasets or samples. In this paper, the wellknown GORDIAN algorithm and "Apriori-based" algorithms are compared and analyzed for further optimization. We greatly improve the Apriori algorithms through efficient candidate generatio
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Mehar, Sara. "The vehicle as a source and consumer of information : collection, dissemination and data processing for sustainable mobility." Thesis, Dijon, 2014. http://www.theses.fr/2014DIJOS069/document.

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Aujourd'hui, les véhicules sont devenus de plus en plus sophistiqués, intelligents et connectés. En effet, ils sont équipés de capteurs, radars, GPS, interfaces de communication et capacités de traitement et de stockage élevés. Ils peuvent collecter, traiter et communiquer les informations relatives à leurs conditions de travail et leur environnement formant un réseau véhiculaire. L'intégration des technologies de communication sur les véhicules fait l'objet d'une immense attention de l'industrie, des autorités gouvernementales et des organisations de standardisations; elle a ouvert la voie à
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Quiñones, Cesar. "Implementation business-to-consumer electronic commerce website using asp.net web programming framework." CSUSB ScholarWorks, 2003. https://scholarworks.lib.csusb.edu/etd-project/2948.

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The purpose of this project is to demonstrate an integration of real world, real time e-commerce with the knowledge and experience gained in participating in the Masters of Business Administration -- Information Management program at California State University, San Bernardino. It is this knowledge and experience that is used to create a Business-To-Consumer (B2C) electronic commerce application (ECA) using available Internet and information management technology. This project presents all aspects of the simulation beginning with the background research of the canine services and supplies indu
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Krishnamurthy, Raju Chemical Sciences &amp Engineering Faculty of Engineering UNSW. "Prediction of consumer liking from trained sensory panel information: evaluation of artificial neural networks (ANN)." Awarded by:University of New South Wales. Chemical Sciences & Engineering, 2007. http://handle.unsw.edu.au/1959.4/40746.

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This study set out to establish artificial neural networks (ANN) as an alternate to regression methods (multiple linear, principal components and partial least squares regression) to predict consumer liking from trained sensory panel data. The study has two parts viz., I) Flavour study - evaluation of ANNs to predict consumer flavour preferences from trained sensory panel data and 2) Fragrance study ??? evaluation of different ANN architectures to predict consumer fragrance liking from trained sensory panel data. In this study, a multi-layer feedforward neural network architecture with input,
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Bauckmann, Jana, Ulf Leser, and Felix Naumann. "Efficient and exact computation of inclusion dependencies for data integration." Universität Potsdam, 2010. http://opus.kobv.de/ubp/volltexte/2010/4139/.

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Data obtained from foreign data sources often come with only superficial structural information, such as relation names and attribute names. Other types of metadata that are important for effective integration and meaningful querying of such data sets are missing. In particular, relationships among attributes, such as foreign keys, are crucial metadata for understanding the structure of an unknown database. The discovery of such relationships is difficult, because in principle for each pair of attributes in the database each pair of data values must be compared. A precondition for a foreign ke
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Ilesanmi, Olufemi Olajide. "Privacy in RFID Transit Systems : A case study of SL - Storstockholms Lokaltrafik." Thesis, KTH, Skolan för informations- och kommunikationsteknik (ICT), 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-177584.

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Radio Frequency Identification (RFID) is a technology that facilitates wirelesscommunication. It is being widely used for access control purposes to aid administration ofservices. As with most wireless technologies, RFID has its challenges, due to its medium (radio waves) of communication, which makes it susceptible to signal interception and other possible attacks. The goal of this project is to investigate the insecurities in the implementation of the RFID system in transit (Storstockholms Lokaltrafik, Stockholm) systems. Due to the nature of the system, spatial information about consumers a
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Mestre, María del Rosario. "Bayesian predictive models of user intention." Thesis, University of Cambridge, 2015. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.708641.

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Books on the topic "Consumer profiling – data processing"

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Zuboff, Shoshana. The Age of Surveillance Capitalism: The Fight for a Human Future at the New Frontier of Power. Public Affairs, 2019.

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Research, United States Employment and Training Administration Office of Policy and. Evaluation of workers profiling and reemployment services systems: Report to Congress. U.S. Department of Labor, Employment and Training Administration, 1997.

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Research, United States Employment and Training Administration Office of Policy and. Evaluation of worker profiling and reemployment services policy workgroup: Final report and recommendations. The Office, 1999.

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Custers, Bart Herman Maria. The power of knowledge: Ethical, legal and technological aspects of data mining and group profiling in epidemiology. Wolf Legal Publishers, 2004.

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A, Goncharuk I͡A. Organizat͡sii͡a mashinnoĭ obrabotki ėkonomicheskoĭ informat͡sii v potrebitelʹskoĭ kooperat͡sii. "Ėkonomika", 1986.

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Lewis, C. D. Going local: IT for front line consumer services : a case study in information technology. Local Government Training Board, 1986.

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Ramirez, Deborah. A resource guide on racial profiling data collection system: Promising practices and lessons learned. U.S. Dept. of Justice, 2000.

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Mitchell, Jeremy. Electronic banking and the consumer: The European dimension. Policy Studies Institute, 1988.

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Mitchell, Jeremy. Electronic banking and the consumer: The European dimension. Policy Studies Institute, 1988.

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Polley, Margaret S. Computer-assisted legal analysis: Minimizing the risks for the consumer. American Bar Association, Center for Professional Responsibility, 1985.

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Book chapters on the topic "Consumer profiling – data processing"

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Brockmann, Karl Ludwig, Jens Hemmelskamp, and Olav Hohmeyer. "Definitions, Database and Data Processing." In Certified Tropical Timber and Consumer Behaviour. Physica-Verlag HD, 1996. http://dx.doi.org/10.1007/978-3-642-51735-8_6.

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González, Ana, Ana M. Bernardos, Carlos J. Gallego, and José R. Casar. "Leveraging Smart Meter Data for Adaptive Consumer Profiling." In 18th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2023). Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-42529-5_17.

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Spenrath, Yorick, Marwan Hassani, and Boudewijn F. van Dongen. "Online Prediction of Aggregated Retailer Consumer Behaviour." In Lecture Notes in Business Information Processing. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-98581-3_16.

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AbstractPredicting the behaviour of consumers provides valuable information for retailers, such as the expected spend of a consumer or the total turnover of the retailer. The ability to make predictions on an individual level is useful, as it allows retailers to accurately perform targeted marketing. However, with the expected large number of consumers and their diverse behaviour, making accurate predictions on an individual consumer level is difficult. In this paper we present a framework that focuses on this trade-off in an online setting. By making predictions on a larger number of consumer
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Abedjan, Ziawasch. "An Introduction to Data Profiling." In Lecture Notes in Business Information Processing. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-96655-7_1.

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Cai, Huali, Yawei Jiang, and Jingshu Zhang. "Influence Factors of Consumer Satisfaction Based on SEM." In Data Processing Techniques and Applications for Cyber-Physical Systems (DPTA 2019). Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-1468-5_25.

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Viegas, Joaquim L., Susana M. Vieira, and João M. C. Sousa. "Mining Consumer Characteristics from Smart Metering Data through Fuzzy Modelling." In Information Processing and Management of Uncertainty in Knowledge-Based Systems. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-40596-4_47.

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Galperin, E. I. "Recording Procedures and Data Processing." In Vertical Seismic Profiling and Its Exploration Potential. Springer Netherlands, 1985. http://dx.doi.org/10.1007/978-94-009-5195-2_3.

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Zarsky, Tal. "Responding to the Inevitable Outcomes of Profiling: Recent Lessons from Consumer Financial Markets, and Beyond." In Data Protection in a Profiled World. Springer Netherlands, 2010. http://dx.doi.org/10.1007/978-90-481-8865-9_4.

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Shi, Xiuli. "Influence of Human Capital on Consumer Expenditure Under Big Data." In 2020 International Conference on Data Processing Techniques and Applications for Cyber-Physical Systems. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-1726-3_71.

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Durá Gil, Juan V., Alfredo Remon, Iván Martínez Rodriguez, et al. "3D Human Big Data Exchange Between the Healthcare and Garment Sectors." In Technologies and Applications for Big Data Value. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-78307-5_11.

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Abstract3D personal data is a type of data that contains useful information for product design, online sale services, medical research and patient follow-up.Currently, hospitals store and grow massive collections of 3D data that are not accessible by researchers, professionals or companies. About 2.7 petabytes a year are stored in the EU26.In parallel to the advances made in the healthcare sector, a new, low-cost 3D body-surface scanning technology has been developed for the goods consumer sector, namely, apparel, animation and art. It is estimated that currently one person is scanned every 15
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Conference papers on the topic "Consumer profiling – data processing"

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Chen, Pin-Rui, and Chuan-Ming Liu. "Approximate Nearest Neighbor Query Processing on High Dimensional Data with a Learned Index." In 2025 IEEE International Conference on Consumer Electronics (ICCE). IEEE, 2025. https://doi.org/10.1109/icce63647.2025.10930213.

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Wada, Shouki, and Naoyuki Morimoto. "Investigating Relationship between Data Augmentation Intensity and Model Performance in Natural Language Processing." In 2024 International Conference on Consumer Electronics - Taiwan (ICCE-Taiwan). IEEE, 2024. http://dx.doi.org/10.1109/icce-taiwan62264.2024.10674562.

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Zhang, Chenghao. "Federated learning-based cross-domain face forgery detection for consumer IOT systems." In 4th International Conference on Electronic Information Engineering and Data Processing (EIEDP 2025), edited by Azlan Bin Mohd Zain and Lei Chen. SPIE, 2025. https://doi.org/10.1117/12.3067515.

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Datta, Gourab, Mohammad Jawad-Ul Kabir Chowdhury, S. A. Naimul Hoque, and Md Aminul Islam. "Performance Analysis of U-Net and Unetr For 2D BraTS Within Consumer-Grade Hardware Limits." In 2024 8th International Artificial Intelligence and Data Processing Symposium (IDAP). IEEE, 2024. http://dx.doi.org/10.1109/idap64064.2024.10710974.

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Hayden, Thomas, Joseph Mazzella, Len Krissa, and Paul Murray. "How Not to Do Machine Learning for Corrosion Prediction." In CONFERENCE 2023. AMPP, 2023. https://doi.org/10.5006/c2023-19310.

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Abstract Machine learning as a tool for automation has grown exponentially in the past two decades. Growth has come from innovations in hardware, such as powerful graphics processing units (GPUs) and cloud computing. Along with hardware advances, there has been an explosion in software packages, algorithms, and tools for performing machine learning. This innovation has resulted in a landscape full of vendor offerings with bold claims about accuracy and precision while not offering much subject matter expertise. The corrosion industry is no exception and faces unique risks in evaluating machine
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Csiba, Anita, and Arpad Ferencz. "DETERMINATION OF THE PRODUCT DEVELOPMENT DIRECTIONS FOR THE FERTILIZER PRODUCTS MADE FROM PIG FATTENING AND SLAUGHTERING BY-PRODUCTS." In 24th SGEM International Multidisciplinary Scientific GeoConference 24. STEF92 Technology, 2024. https://doi.org/10.5593/sgem2024/4.1/s18.33.

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Nowadays The storage of pig slurry has been an unsolved problem for a long time in Hungary, therefore the appropriate processing technology is a very important question in order we can produce from the pig fattening and slaughtering by-products the best possible quality of final product. The determined goals of the product development can be achieved in two ways. The first possible method for it preserving the nutrients in the slurry and the another way adding fertilizers or other valuable materials, that improve the soil. At the end of the industrial research project, we can develop a new tec
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Balasuriya, Pamuda, Ranilka Perera, Sachini Rajapaksha, et al. "Deep Learning-Based Consumer Profiling from Smart Meter Data." In 2021 IEEE 16th International Conference on Industrial and Information Systems (ICIIS). IEEE, 2021. http://dx.doi.org/10.1109/iciis53135.2021.9660668.

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Schippers, Hendrik, and Christian Wietfeld. "Data-Driven Energy Profiling for Resource-Efficient 5G Vertical Services." In 2024 IEEE 21st Consumer Communications & Networking Conference (CCNC). IEEE, 2024. http://dx.doi.org/10.1109/ccnc51664.2024.10454791.

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Caesar, Himmel, and Schmidt. "Data-Driven Array Processor for Video Signal Processing." In IEEE International Conference on Consumer Electronics. IEEE, 1990. http://dx.doi.org/10.1109/icce.1990.665978.

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Benaissa, Brahim, and Masakazu Kobayashi. "Design aesthetics recommender system based on customer profile and wanted affect." In 9th International Conference on Kansei Engineering and Emotion Research (KEER2022). Kansei Engineering and Emotion Research (KEER), 2022. http://dx.doi.org/10.5821/conference-9788419184849.19.

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Product recommendation systems have been instrumental in online commerce since the early days. Their development is expanded further with the help of big data and advanced deep learning methods, where consumer profiling is central. The interest of the consumer can now be predicted based on the personal past choices and the choices of similar consumers. However, what is currently defined as a choice is based on quantifiable data, like the product features, cost, and type. This paper investigates the possibility of profiling customers based on the preferred product design and wanted affects. We
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Reports on the topic "Consumer profiling – data processing"

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Krogmeier, J., and Darcy Bullock. Statewide Wireless Communications Project,Volume 3 - Data Collection and Signal Processing for Improvement of Road Profiling and Proof of Concept of a Vehicle-Inftrastructure Based Road Surface Monitoring Application. Purdue University, 2008. http://dx.doi.org/10.5703/1288284314220.

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Pasupuleti, Murali Krishna. AI-Driven Marketing Innovations: Personalization and Ethics in the Digital Era. National Education Services, 2025. https://doi.org/10.62311/nesx/rr625.

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Abstract: This article explores the transformative impact of artificial intelligence (AI) on digital marketing, focusing on strategies for delivering personalized content and ensuring ethical advertising. By leveraging AI, marketers can now analyze consumer behavior with precision, enabling targeted content, automated ad placement, and real-time adjustments that enhance user engagement and conversions. The Article examines foundational AI techniques, such as recommendation engines, predictive analytics, and natural language processing, which drive personalization at scale. Additionally, it add
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Bhatt, Parth, Curtis Edson, and Ann MacLean. Image Processing in Dense Forest Areas using Unmanned Aerial System (UAS). Michigan Technological University, 2022. http://dx.doi.org/10.37099/mtu.dc.michigantech-p/16366.

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Imagery collected via Unmanned Aerial System (UAS) platforms has become popular in recent years due to improvements in a Digital Single-Lens Reflex (DSLR) camera (centimeter and sub-centimeter), lower operation costs as compared to human piloted aircraft, and the ability to collect data over areas with limited ground access. Many different application (e.g., forestry, agriculture, geology, archaeology) are already using and utilizing the advantages of UAS data. Although, there are numerous UAS image processing workflows, for each application the approach can be different. In this study, we dev
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Cairo, Jessica, Iulia Gherman, and Paul Cook. The effects of consumer freezing of food on its use-by date. Food Standards Agency, 2021. http://dx.doi.org/10.46756/sci.fsa.ret874.

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The current Food Standards Agency consumer guidance states that consumers can freeze pre-packed food right up to the “use-by” date and, once food has been defrosted, it should be consumed within 24 hours. This strategic review has collated relevant data to determine whether there is an increased risk in relation to freezing ready-to-eat and non-ready-to-eat foods on the use-by date compared to the day before the use-by date. The review has focused on how the shelf-life of a food is determined and the effects of freezing, thawing and refrigeration on foodborne pathogens, including Bacillus spp.
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Ferdous, Zannatul, and Wahid bin Ahsan. Customer Experiences with E-commerce Returns in Bangladesh: Effects on Satisfaction, Trust, and Loyalty. Userhub, 2024. http://dx.doi.org/10.58947/journal.nfqj67.

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The rapid expansion of e-commerce in Bangladesh has revolutionized consumer behavior, providing convenience while creating challenges in managing product returns. This study examines customer experiences and perceptions of e-commerce returns in Bangladesh, focusing on critical factors like product discrepancies, refund processing delays, return policy transparency, and customer service issues. Using a mixed-methods approach, data was collected from 151 survey respondents and 18 interviews with customers, e-commerce employees, and logistics personnel. The findings reveal that product misreprese
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Schaur, Georg, Christian Volpe Martincus, and Jerónimo Carballo. Trust No One?: Security and International Trade. Inter-American Development Bank, 2016. http://dx.doi.org/10.18235/0011739.

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Security concerns in a context of increasingly segmented supply chains haveled to stricter border control measures, which may potentially negatively affect international trade. Customs around the world have therefore implemented security-motivated certification programs to facilitate licit trade. These programs offer trustworthy trading firms, i.e., Authorized Economic Operators (AEOs), several advantages in the administrative processing of their shipments including less frequent physical inspections and expedited customs clearance. In this study we focus on Mexico's AEO Program NEEC. In parti
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Beavers, Calvin, Chad Day, Austin Krietemeyer, Scott Peterson, Yushin Ahn, and Xiaojun Li. Mapping of Pavement Conditions Using Smartphone/Tablet LiDAR Case Study: Sensor Performance Comparison. Mineta Transportation Institute, 2024. http://dx.doi.org/10.31979/mti.2024.2224.

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Poor road conditions affect millions of drivers, and assessing the condition of paved surfaces is a critical step towards repairing them. This project explores the feasibility of using the Apple iPad Pro LiDAR sensor as a cost-effective tool for assessing the damage and condition of paved surfaces. Our research aims to provide accurate and precise measurements using readily available consumer devices and compare the results to state-of-the-art equipment. This investigation involved visual inspection, identification, and classification of pavement distresses, followed by a comparison of the iPa
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Avis, William. Drivers, Barriers and Opportunities of E-waste Management in Africa. Institute of Development Studies (IDS), 2021. http://dx.doi.org/10.19088/k4d.2022.016.

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Population growth, increasing prosperity and changing consumer habits globally are increasing demand for consumer electronics. Further to this, rapid changes in technology, falling prices and consumer appetite for better products have exacerbated e-waste management challenges and seen millions of tons of electronic devices become obsolete. This rapid literature review collates evidence from academic, policy focussed and grey literature on e-waste management in Africa. This report provides an overview of constitutes e-waste, the environmental and health impacts of e-waste, of the barriers to ef
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Guo, Ge, Jiageng Liu, and Guangheng Liu. Multi-sensor Fusion-based Vehicle Localization. SAE International, 2024. http://dx.doi.org/10.4271/epr2024023.

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<div class="section abstract"><div class="htmlview paragraph">Multi-sensor fusion (MSF) is believed to be a promising tool for vehicular localization in urban environments. Due to the differences in principles and performance of various onboard vehicle sensors, MSF inevitably suffers from heterogeneous sources and vulnerability to cyber-attacks. Therefore, an essential requirement of MSF is the capability of providing a consumer-grade solution that operates in real-time, is accurate, and immune to abnormal conditions with guaranteed performance and quality of service for location-b
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Blumwald, Eduardo, and Avi Sadka. Citric acid metabolism and mobilization in citrus fruit. United States Department of Agriculture, 2007. http://dx.doi.org/10.32747/2007.7587732.bard.

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Accumulation of citric acid is a major determinant of maturity and fruit quality in citrus. Many citrus varieties accumulate citric acid in concentrations that exceed market desires, reducing grower income and consumer satisfaction. Citrate is accumulated in the vacuole of the juice sac cell, a process that requires both metabolic changes and transport across cellular membranes, in particular, the mitochondrial and the vacuolar (tonoplast) membranes. Although the accumulation of citrate in the vacuoles of juice cells has been clearly demonstrated, the mechanisms for vacuolar citrate homeostasi
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