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Дисертації з теми "Fake Detection"

Автор: Grafiati

Опубліковано: 3 червня 2025

Оновлено: 31 липня 2025

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1

Nordberg, Pontus. "Automatic fake news detection." Thesis, Högskolan i Skövde, Institutionen för informationsteknologi, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-18512.

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Анотація:

Due to the large increase in the proliferation of "fake news" in recent years, it has become a widely discussed menace in the online world. In conjunction with this popularity, research of ways to limit the spread has also increased. This paper aims to look at the current research of this area in order to see what automatic fake news detection methods exist and are being developed, which can help online users in protecting themselves against fake news. A systematic literature review is conducted in order to answer this question, with different detection methods discussed in the literature bein

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2

Satya, Prudhvi Ratna Badri. "Fake Likers Detection on Facebook." DigitalCommons@USU, 2016. https://digitalcommons.usu.edu/etd/4961.

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Анотація:

In online social networking sites, gaining popularity has become important. The more popular a company is, the more profits it can make. A way to measure a company's popularity is to check how many likes it has (e.g., the company's number of likes in Facebook). To instantly and artificially increase the number of likes, some companies and business people began hiring crowd workers (aka fake likers) who send likes to a targeted page and earn money. Unfortunately, little is known about characteristics of the fake likers and how to identify them. To uncover fake likers in online social networks,

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3

O'Brien, Nicole (Nicole J. ). "Machine learning for detection of fake news." Thesis, Massachusetts Institute of Technology, 2018. http://hdl.handle.net/1721.1/119727.

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Анотація:

Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2018.<br>This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.<br>Cataloged from student-submitted PDF version of thesis.<br>Includes bibliographical references (pages 55-56).<br>Recent political events have lead to an increase in the popularity and spread of fake news. As demonstrated by the widespread effects of the large onset of fake news, humans are inconsistent if not outright poor d

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4

Zarei, Koosha. "Fake identity & fake activity detection in online social networks based on transfer learning." Electronic Thesis or Diss., Institut polytechnique de Paris, 2022. http://www.theses.fr/2022IPPAS008.

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Анотація:

Les médias sociaux ont permis de connecter un plus grand nombre de personnes dans le monde entier et d'accroître la facilité d'accès à des contenus gratuits, mais ils sont confrontés à des phénomènes critiques tels que les faux contenus, les fausses identités et les fausses activités. La détection de faux contenus sur les médias sociaux est récemment devenue une recherche émergente qui attire une attention considérable. une recherche émergente qui suscite une attention considérable. Dans ce domaine, les fausses identités jouent un rôle important dans la production et la propagation de faux con

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5

Asresu, Yohannes. "Defining fake news for algorithmic deception detection purposes." Thesis, Uppsala universitet, Institutionen för informatik och media, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-390393.

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6

RAJ, CHAHAT. "CONVOLUTIONAL NEURAL NETWORKERS FOR MULTIMODALS FAKE NEWS DETECTION." Thesis, DELHI TECHNOLOGICAL UNIVERSITY, 2021. http://dspace.dtu.ac.in:8080/jspui/handle/repository/18816.

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Анотація:

An upsurge of false information revolves around the internet. Social media and websites are flooded with unverified news posts. These posts are comprised of text, images, audio, and videos. There is a requirement for a system that detects fake content in multiple data modalities. We have seen a considerable amount of research on classification techniques for textual fake news detection, while frameworks dedicated to visual fake news detection are very few. We explored the state-of-the-art methods using deep networks such as CNNs and RNNs for multi-modal online information credibility ana

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7

Kurasinski, Lukas. "Machine Learning explainability in text classification for Fake News detection." Thesis, Malmö universitet, Fakulteten för teknik och samhälle (TS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-20058.

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Анотація:

Fake news detection gained an interest in recent years. This made researchers try to findmodels that can classify text in the direction of fake news detection. While new modelsare developed, researchers mostly focus on the accuracy of a model. There is little researchdone in the subject of explainability of Neural Network (NN) models constructed for textclassification and fake news detection. When trying to add a level of explainability to aNeural Network model, allot of different aspects have to be taken under consideration.Text length, pre-processing, and complexity play an important role in

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8

Yadav, Tarun Kumar. "Automatic Detection and Prevention of Fake Key Attacks in Signal." BYU ScholarsArchive, 2019. https://scholarsarchive.byu.edu/etd/9072.

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Анотація:

The Signal protocol provides end-to-end encryption for billions of users in popular instant messaging applications like WhatsApp, Facebook Messenger, and Google Allo. The protocol relies on an app-specific central server to distribute public keys and relay encrypted messages between the users. Signal prevents passive attacks. However, it is vulnerable to some active attacks due to its reliance on a trusted key server. A malicious key server can distribute fake keys to users to perform man-in-the-middle or impersonation attacks. Signal applications support an authentication ceremony to detect t

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9

Ghanem, Bilal Hisham Hasan. "On the Detection of False Information: From Rumors to Fake News." Doctoral thesis, Universitat Politècnica de València, 2021. http://hdl.handle.net/10251/158570.

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Анотація:

[ES] En tiempos recientes, el desarrollo de las redes sociales y de las agencias de noticias han traído nuevos retos y amenazas a la web. Estas amenazas han llamado la atención de la comunidad investigadora en Procesamiento del Lenguaje Natural (PLN) ya que están contaminando las plataformas de redes sociales. Un ejemplo de amenaza serían las noticias falsas, en las que los usuarios difunden y comparten información falsa, inexacta o engañosa. La información falsa no se limita a la información verificable, sino que también incluye información que se utiliza con fines nocivos. Además, uno de los

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10

Clayton, Spencer Paul. "Malingering Detection among Accommodation-Seeking University Students." BYU ScholarsArchive, 2010. https://scholarsarchive.byu.edu/etd/2539.

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Анотація:

Universities have increasingly sought to provide accommodative services to students with learning disorders and Attention-Deficit/Hyperactivity Disorder (ADHD) in recent decades thereby creating a need for diagnostic batteries designed to evaluate cognitive abilities relevant to academic performance. Given that accommodative services (extended time on tests, alternate test forms, etc.) provide incentive to distort impairment steps should be taken to estimate the rate at which students distort impairment and to evaluate the accuracy with which symptom distortion is identified. In order to addre

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11

Frimodig, Matilda, and Sivertsson Tom Lanhed. "A Comparative study of Knowledge Graph Embedding Models for use in Fake News Detection." Thesis, Malmö universitet, Institutionen för datavetenskap och medieteknik (DVMT), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-43228.

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Анотація:

During the past few years online misinformation, generally referred to as fake news, has been identified as an increasingly dangerous threat. As the spread of misinformation online has increased, fake news detection has become an active line of research. One approach is to use knowledge graphs for the purpose of automated fake news detection. While large scale knowledge graphs are openly available these are rarely up to date, often missing the relevant information needed for the task of fake news detection. Creating new knowledge graphs from online sources is one way to obtain the missing info

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12

Wan, Zhibin, and Huatai Xu. "Performance comparison of different machine learningmodels in detecting fake news." Thesis, Högskolan Dalarna, Institutionen för information och teknik, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:du-37576.

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Анотація:

The phenomenon of fake news has a significant impact on our social life, especially in the political world. Fake news detection is an emerging area of research. The sharing of infor-mation on the Web, primarily through Web-based online media, is increasing. The ability to identify, evaluate, and process this information is of great importance. Deliberately created disinformation is being generated on the Internet, either intentionally or unintentionally. This is affecting a more significant segment of society that is being blinded by technology. This paper illustrates models and methods for de

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13

Majadi, Nazia. "Real-Time Detection and Prevention of Shill Bidding in Online Auctions." Thesis, Griffith University, 2019. http://hdl.handle.net/10072/382740.

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Анотація:

Online auctions have become one of the most popular and convenient buying and selling media in e-commerce. However, the amount of auction fraud increases with the popu- larity of online auctions. This thesis examines one of the most severe types of auction fraud, referred to as shill bidding, where fake bids are used to arti cially in ate an item's nal price. Shill bidding is strictly prohibited in online auctions because it forces honest bidders to pay more for their products. Researchers have proposed several mechanisms to detect shill bidding once an auction has nished. However, if shill

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14

Shell, Joshua L. "Bots and Political Discourse: System Requirements and Proposed Methods of Bot Detection and Political Affiliation via Browser Plugin." University of Cincinnati / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1592136507505369.

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15

Tak, Hemlata. "End-to-End Modeling for Speech Spoofing and Deepfake Detection." Electronic Thesis or Diss., Sorbonne université, 2023. https://accesdistant.sorbonne-universite.fr/login?url=https://theses-intra.sorbonne-universite.fr/2023SORUS104.pdf.

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Анотація:

Les systèmes biométriques vocaux sont utilisés dans diverses applications pour une authentification sécurisée. Toutefois, ces systèmes sont vulnérables aux attaques par usurpation d'identité. Il est donc nécessaire de disposer de techniques de détection plus robustes. Cette thèse propose de nouvelles techniques de détection fiables et efficaces contre les attaques invisibles. La première contribution est un ensemble non linéaire de classificateurs de sous-bandes utilisant chacun un modèle de mélange gaussien. Des résultats compétitifs montrent que les modèles qui apprennent des indices discrim

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16

Artaud, Chloé. "Détection des fraudes : de l’image à la sémantique du contenu : application à la vérification des informations extraites d’un corpus de tickets de caisse." Thesis, La Rochelle, 2019. http://www.theses.fr/2019LAROS002/document.

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Анотація:

Les entreprises, les administrations, et parfois les particuliers, doivent faire face à de nombreuses fraudes sur les documents qu’ils reçoivent de l’extérieur ou qu’ils traitent en interne. Les factures, les notes de frais, les justificatifs... tout document servant de preuve peut être falsifié dans le but de gagner plus d’argent ou de ne pas en perdre. En France, on estime les pertes dues aux fraudes à plusieurs milliards d’euros par an. Étant donné que le flux de documents échangés, numériques ou papiers, est très important, il serait extrêmement coûteux en temps et en argent de les faire t

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17

Kim, Dae Wook. "Data-Driven Network-Centric Threat Assessment." Wright State University / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=wright1495191891086814.

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18

Espinosa-Romero, Arturo. "Situated face detection." Thesis, University of Edinburgh, 2001. http://hdl.handle.net/1842/6667.

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Анотація:

In the last twenty years, important advances have been made in the field of automatic face processing, given the importance of human faces for personal identification, emotional expression and verbal and non verbal communication. The very first step in a face processing algorithm is the detection of faces; while this is a trivial problem in controlled environments, the detection of faces in real environments is still a challenging task. Until now, the most successful approaches for face detection represent the face as a grey-level pattern, and the problem itself is considered as the classifica

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19

Mäkelä, J. (Jussi). "GPU accelerated face detection." Master's thesis, University of Oulu, 2013. http://urn.fi/URN:NBN:fi:oulu-201303181103.

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Анотація:

Graphics processing units have massive parallel processing capabilities, and there is a growing interest in utilizing them for generic computing. One area of interest is computationally heavy computer vision algorithms, such as face detection and recognition. Face detection is used in a variety of applications, for example the autofocus on cameras, face and emotion recognition, and access control. In this thesis, the face detection algorithm was accelerated with GPU using OpenCL. The goal was to gain performance benefit while keeping the implementations functionally equivalent. The OpenCL vers

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20

Costa, Rui Jorge Duarte. "Face detection and recognision." Master's thesis, Universidade de Aveiro, 2016. http://hdl.handle.net/10773/21683.

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Mestrado em Engenharia Eletrónica e Telecomunicações<br>Ultimamente, as redes de telecomunicações móveis estão a exigir cada vez maiores taxas de transferência de informação. Com este aumento, embora sejam usados códigos poderosos, também aumenta a largura de banda dos sinais a transmitir, bem como a sua frequência. A maior frequência de operação, bem como a procura por sistemas mais eficientes, tem exigido progressos no que toca aos transístores utilizados nos amplificadores de potência de radio frequência (RF), uma vez que estes são componentes dominantes no rendimento de uma estação base d

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21

Westerlund, Tomas. "Fast Face Finding." Thesis, Linköping University, Department of Electrical Engineering, 2004. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-2068.

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Анотація:

<p>Face detection is a classical application of object detection. There are many practical applications in which face detection is the first step; face recognition, video surveillance, image database management, video coding. </p><p>This report presents the results of an implementation of the AdaBoost algorithm to train a Strong Classifier to be used for face detection. The AdaBoost algorithm is fast and shows a low false detection rate, two characteristics which are important for face detection algorithms. </p><p>The application is an implementation of the AdaBoost algorithm with several comm

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22

Pavani, Sri-Kaushik. "Methods for face detection and adaptive face recognition." Doctoral thesis, Universitat Pompeu Fabra, 2010. http://hdl.handle.net/10803/7567.

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Анотація:

The focus of this thesis is on facial biometrics; specifically in the problems of face detection and face recognition. Despite intensive research over the last 20 years, the technology is not foolproof, which is why we do not see use of face recognition systems in critical sectors such as banking. In this thesis, we focus on three sub-problems in these two areas of research. Firstly, we propose methods to improve the speed-accuracy trade-off of the state-of-the-art face detector. Secondly, we consider a problem that is often ignored in the literature: to decrease the training time of the detec

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23

Day, Adam C. "Designing a face detection CAPTCHA." Morgantown, W. Va. : [West Virginia University Libraries], 2010. http://hdl.handle.net/10450/11036.

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Анотація:

Thesis (M.S.)--West Virginia University, 2010.<br>Title from document title page. Document formatted into pages; contains viii, 80 p. : ill. Includes abstract. Includes bibliographical references (p. 78-80).

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24

Lang, Andreas. "Face Detection using Swarm Intelligence." Universitätsbibliothek Chemnitz, 2011. http://nbn-resolving.de/urn:nbn:de:bsz:ch1-qucosa-64415.

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Анотація:

Groups of starlings can form impressive shapes as they travel northward together in the springtime. This is among a group of natural phenomena based on swarm behaviour. The research field of artificial intelligence in computer science, particularly the areas of robotics and image processing, has in recent decades given increasing attention to the underlying structures. The behaviour of these intelligent swarms has opened new approaches for face detection as well. G. Beni and J. Wang coined the term “swarm intelligence” to describe this type of group behaviour. In this context, intelligence des

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25

McCarroll, Niall. "BioFace : bio-inspired face detection." Thesis, Ulster University, 2017. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.722684.

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Анотація:

The goal of face detection is to determine whether or not an image or video frame contains faces and, if present, return the number of instances of each face object and their location within an image space. Face detection is an important computer vision task as it is the building block for more sophisticated face processing algorithms such as face recognition and facial expression tracking. However, robust and reliable face detection in completely unconstrained settings remains a very challenging task. For example, while the human brain performs face detection and recognition robustly and with

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26

Mahmood, Muhammad Tariq. "Face Detection by Image Discriminating." Thesis, Blekinge Tekniska Högskola, Avdelningen för för interaktion och systemdesign, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-4352.

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Анотація:

Human face recognition systems have gained a considerable attention during last few years. There are very many applications with respect to security, sensitivity and secrecy. Face detection is the most important and first step of recognition system. Human face is non rigid and has very many variations regarding image conditions, size, resolution, poses and rotation. Its accurate and robust detection has been a challenge for the researcher. A number of methods and techniques are proposed but due to a huge number of variations no one technique is much successful for all kinds of faces and images

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27

Lang, Andreas. "Face Detection using Swarm Intelligence." Technische Universität Chemnitz, 2010. https://monarch.qucosa.de/id/qucosa%3A19439.

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Анотація:

Groups of starlings can form impressive shapes as they travel northward together in the springtime. This is among a group of natural phenomena based on swarm behaviour. The research field of artificial intelligence in computer science, particularly the areas of robotics and image processing, has in recent decades given increasing attention to the underlying structures. The behaviour of these intelligent swarms has opened new approaches for face detection as well. G. Beni and J. Wang coined the term “swarm intelligence” to describe this type of group behaviour. In this context, intelligence des

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28

Husain, Benafsh Nadir. "Face Detection And Lip Localization." DigitalCommons@CalPoly, 2011. https://digitalcommons.calpoly.edu/theses/601.

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Анотація:

Integration of audio and video signals for automatic speech recognition has become an important field of study. The Audio-Visual Speech Recognition (AVSR) system is known to have accuracy higher than audio-only or visual-only system. The research focused on the visual front end and has been centered around lip segmentation. Experiments performed for lip feature extraction were mainly done in constrained environment with controlled background noise. In this thesis we focus our attention to a database collected in the environment of a moving car which hampered the quality of the imagery. We firs

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29

Ferreira, Uchoa Marina. "Detecting Fake Reviews with Machine Learning." Thesis, Högskolan Dalarna, Mikrodataanalys, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:du-28133.

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Анотація:

Many individuals and businesses make decisions based on freely and easily accessible online reviews. This provides incentives for the dissemination of fake reviews, which aim to deceive the reader into having undeserved positive or negative opinions about an establishment or service. With that in mind, this work proposes machine learning applications to detect fake online reviews from hotel, restaurant and doctor domains. In order to _lter these deceptive reviews, Neural Networks and Support Vector Ma- chines are used. Both algorithms' parameters are optimized during training. Parameters that

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30

Wang, Zeng. "Laser-based detection and tracking of dynamic objects." Thesis, University of Oxford, 2014. http://ora.ox.ac.uk/objects/uuid:c7f2da08-fa1e-4121-b06b-31aad16ecddd.

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In this thesis, we present three main contributions to laser-based detection and tracking of dynamic objects, from both a model-based point of view and a model-free point of view, with an emphasis on applications to autonomous driving. A segmentation-based detector is first proposed to provide an end-to-end detection of the classes car, pedestrian and bicyclist in 3D laser data amongst significant background clutter. We postulate that, for the particular classes considered, solving a binary classification task outperforms approaches that tackle the multi-class problem directly. This is confirm

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31

Wall, Helene. "Context-Based Algorithm for Face Detection." Thesis, Linköping University, Department of Science and Technology, 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-4171.

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Анотація:

<p>Face detection has been a research area for more than ten years. It is a complex problem due to the high variability in faces and amongst faces; therefore it is not possible to extract a general pattern to be used for detection. This is what makes the face detection problem a challenge.</p><p>This thesis gives the reader a background to the face detection problem, where the two main approaches of the problem are described. A face detection algorithm is implemented using a context-based method in combination with an evolving neural network. The algorithm consists of two majors steps: detect

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32

Onder, Murat. "Face Detection And Active Robot Vision." Master's thesis, METU, 2004. http://etd.lib.metu.edu.tr/upload/2/12605290/index.pdf.

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Анотація:

The main task in this thesis is to design a robot vision system with face detection and tracking capability. Hence there are two main works in the thesis: Firstly, the detection of the face on an image that is taken from the camera on the robot must be achieved. Hence this is a serious real time image processing task and time constraints are very important because of this reason. A processing rate of 1 frame/second is tried to be achieved and hence a fast face detection algorithm had to be used. The Eigenface method and the Subspace LDA (Linear Discriminant Analysis) method are implemented, te

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33

Gu, Xiaohan, and Ling Yang. "Face detection based on skin color." Thesis, Högskolan i Gävle, Avdelningen för Industriell utveckling, IT och Samhällsbyggnad, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-13767.

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Анотація:

This work is on a method for face detection through analysis of photos. Accurate location of faces and point out the faces are implemented. In the first step, we use Cb and Cr channel to find where the skin color parts are on the photo, then remove noise which around the skin parts, finally, use morphology technique to detect face part exactly. Our result shows this approach can detect faces and establish a good technical based for future face recognition.

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34

Kadoury, Samuel. "Face detection using locally linear embedding." Thesis, McGill University, 2005. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=98976.

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Анотація:

Human face detection in gray scale images has been researched extensively over the past decade, due to the recent emergence of applications such as security access control, visual surveillance and content-based information retrieval. However, this problem remains challenging because faces are non-rigid objects that have a high degree of variability in size, shape, color and texture. Indeed, few of the proposed face detection methods have been analyzed for performance under different conditions, such as head rotation, illumination, facial expression, occlusion and aging.<br>Nowadays, most face

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35

Bileschi, Stanley Michael 1978. "Advances in component-based face detection." Thesis, Massachusetts Institute of Technology, 2003. http://hdl.handle.net/1721.1/87340.

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Анотація:

Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2003.<br>Includes bibliographical references (leaves 51-53).<br>by Stanley Michael Bileschi.<br>S.M.

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36

Yow, Kin Choong. "Automatic human face detection and localization." Thesis, University of Cambridge, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.624774.

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37

CHEN, PO-HONG, and 陳柏宏. "Text Analysis and Detection on Fake News." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/bv337x.

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碩士<br>國立雲林科技大學<br>資訊工程系<br>106<br>In general, the features of fake news are almost the same as those of real news, so it is not easy to identify them. In this paper, we propose a fake news detection system using a deep learning model. First, news articles are preprocessed and analyzed based on different training models. Then, an ensemble learning model combining four different models called embedding LSTM, depth LSTM, LIWC CNN, and N-gram CNN is proposed for fake news detection. Besides, to achieve high accuracy of detecting fake news, the optimized weights of the ensemble learning model are d

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Mohawesh, RIM. "Machine learning approaches for fake online reviews detection." Thesis, 2022. https://eprints.utas.edu.au/47578/.

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Online reviews have a substantial impact on decision making in various areas of society, predominantly in the arena of buying and selling of goods. The truthfulness of online reviews is critical for both consumers and vendors. Genuine reviews can lead to satisfied customers and success for quality businesses, whereas fake reviews can mislead innocent clients, influence customers’ choices owing to false descriptions and inaccurate sales. Therefore, there is a need for efficient fake review detection models and tools that can help distinguish between fraudulent and legitimate reviews to protect

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Moura, Ricardo Ribeiro Sanfins. "Automated Fake News detection using computational Forensic Linguistics." Master's thesis, 2021. https://hdl.handle.net/10216/135505.

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In our society, everyone has access to the internet and can post anything about any topic at any time. Despite its many advantages, this possibility brought along a serious problem: Fake News. Fake News is news that is not real for not following journalism principles. Instead, Fake News try to mimic the look and feel of real news with the intent to disinform the reader. However, what makes Fake News a real problem is the influence that it can have on our society. Lay people are attracted to this kind of news and often give more attention to them than truthful accounts. Despite the development

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Moura, Ricardo Ribeiro Sanfins. "Automated Fake News detection using computational Forensic Linguistics." Dissertação, 2021. https://hdl.handle.net/10216/135505.

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In our society, everyone has access to the internet and can post anything about any topic at any time. Despite its many advantages, this possibility brought along a serious problem: Fake News. Fake News is news that is not real for not following journalism principles. Instead, Fake News try to mimic the look and feel of real news with the intent to disinform the reader. However, what makes Fake News a real problem is the influence that it can have on our society. Lay people are attracted to this kind of news and often give more attention to them than truthful accounts. Despite the development

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Chau, Ying-Hung, and 周瑩紅. "Detection of Fake News Using BERT with Sentiment Analysis." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/8gwvn5.

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碩士<br>國立臺灣科技大學<br>資訊管理系<br>107<br>Fake news has become a hot-button issue and received tremendous attention since the 2016 U.S. presidential election. Although ‘fake news’ is an old problem that has been existed for centuries, today’s technology enables the spread of misinformation easier than ever. The internet and social media are the great enablers of the rise of fake news in recent years. The spread of fake news will definitely continue to cause negative impacts on individuals and society. Since most of the fake news revolve around politics, this research is therefore focused on political

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Kumar, Nitesh, and Ranabothu Nithin Reddy. "Automatic Detection of Fake Profiles in Online Social Networks." Thesis, 2012. http://ethesis.nitrkl.ac.in/3578/1/thesis.pdf.

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In the present generation, the social life of everyone has become associated with the online social networks. These sites have made a drastic change in the way we pursue our social life. Making friends and keeping in contact with them and their updates has become easier. But with their rapid growth, many problems like fake profiles, online impersonation have also grown. There are no feasible solution exist to control these problems. In this project, we came up with a framework with which automatic detection of fake profiles is possible and is efficient. This framework uses classification techn

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Daubert, Scott D. "The detection of fake-bad and fake-good responding on the Millon Clinical Multiaxial Inventory III /." Diss., 1997. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:9814953.

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HSU, HAO-YI, and 許皓羿. "Detection of Fake V2X Messages by Trajectory Prediction for Highway Platooning." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/nv8nz5.

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碩士<br>國立中正大學<br>資訊工程研究所<br>107<br>Next-generation network technologies such as 5G NR forecast to hit the market in coming years, along with existing vehicular communications such as dedicated short-range communications (DSRC), are promising to help a vehicle to be able to communicate with everything, namely vehicle-to-everything (V2X). V2X applications such as Cooperative Adaptive Cruise Control (CACC) relies highly on exchange messages, and it is necessary to enable vehicles to detect and filter false data. An attacker can forge V2X messages to cause an accident, especially for vehicle platoo

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RAVISH. "AN EFFECTIVE OPTIMIZED FAKE NEWS DETECTION SYSTEM BASED ON MACHINE LEARNING TECHNIQUES." Thesis, 2022. http://dspace.dtu.ac.in:8080/jspui/handle/repository/19166.

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Fake News generates misleading suspense information that may be discovered. This promotes dishonesty about something like a country's position or overstates the price of specific tasks for a government, eroding democracy in particular places, such as with the Arab Spring. Organisations such as the "House of Representatives and the Background check project" try to address problems such as publisher accountability. But, as they depend exclusively on human detection by people, their coverage is small. This is not sustainable nor practicable in a world where billions of things are remo

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Bondielli, Alessandro. "Combining natural language processing and machine learning for profiling and fake news detection." Doctoral thesis, 2021. http://hdl.handle.net/2158/1244287.

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In recent years, Natural Language Processing (NLP) and Text Mining have become an ever-increasing field of research, also due to the advancements of Deep Learning and Language Models that allow tackling several interesting and novel problems in different application domains. Traditional techniques of text mining mostly relied on structured data to design machine learning algorithms. Nonetheless, a growing number of online platforms contain a lot of unstructured information that represent a great value for both Industry, especially in the context of Industry 4.0, and Public Administration servi

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Barros, Maria Francisca de Sousa e. Alvim Lima de. "Fake news: characterization of different individual profiles in relation to different news topics." Master's thesis, 2022. http://hdl.handle.net/10362/133068.

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Project Work presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Information Systems and Technologies Management<br>The existence of fake news is an extremely topical concern which calls into question the veracity of the broadcasted information. Since nowadays the search and production of news is mainly done online, the costs with content production are low and the content’s reach and speed of propagation is very high. These factors facilitate the dissemination of fake news in social platforms that are not specialized means of commu

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"Hidden Fear: Evaluating the Effectiveness of Messages on Social Media." Master's thesis, 2020. http://hdl.handle.net/2286/R.I.57340.

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abstract: The development of the internet provided new means for people to communicate effectively and share their ideas. There has been a decline in the consumption of newspapers and traditional broadcasting media toward online social mediums in recent years. Social media has been introduced as a new way of increasing democratic discussions on political and social matters. Among social media, Twitter is widely used by politicians, government officials, communities, and parties to make announcements and reach their voice to their followers. This greatly increases the acceptance domain of the m

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Elhaddad, Mohamed Kamel Abdelsalam. "Web mining for social network analysis." Thesis, 2021. http://hdl.handle.net/1828/13219.

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Undoubtedly, the rapid development of information systems and the widespread use of electronic means and social networks have played a significant role in accelerating the pace of events worldwide, such as, in the 2012 Gaza conflict (the 8-day war), in the pro-secessionist rebellion in the 2013-2014 conflict in Eastern Ukraine, in the 2016 US Presidential elections, and in conjunction with the COVID-19 outbreak pandemic since the beginning of 2020. As the number of daily shared data grows quickly on various social networking platforms in different languages, techniques to carry out automatic c

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Palanisamy, Sundar Agnideven. "Learning-based Attack and Defense on Recommender Systems." Thesis, 2021. http://dx.doi.org/10.7912/C2/65.

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Indiana University-Purdue University Indianapolis (IUPUI)<br>The internet is the home for massive volumes of valuable data constantly being created, making it difficult for users to find information relevant to them. In recent times, online users have been relying on the recommendations made by websites to narrow down the options. Online reviews have also become an increasingly important factor in the final choice of a customer. Unfortunately, attackers have found ways to manipulate both reviews and recommendations to mislead users. A Recommendation System is a special type of information filt

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