Relevant bibliographies by topics / Network sequences / Dissertations / Theses
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Dissertations / Theses on the topic 'Network sequences'

Author: Grafiati
Published: 3 June 2025
Last updated: 31 July 2025

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1

Bazargan-Harandi, Hamid. "Neural network based simulation of sea-state sequences." Thesis, Brunel University, 2006. http://bura.brunel.ac.uk/handle/2438/379.

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The present PhD study, in its first part, uses artificial neural networks (ANNs), an optimization technique called simulated annealing, and statistics to simulate the significant wave height (Hs) and mean zero-up-crossing period ( ) of 3-hourly sea-states of a location in the North East Pacific using a proposed distribution called hepta-parameter spline distribution for the conditional distribution of Hs or given some inputs. Two different seven- network sets of ANNs for the simulation and prediction of Hs and were trained using 20-year observed Hs’s and ’s. The preceding Hs’s and ’s were the
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2

Gittens, Shaun. "Neural network generation of temporal sequences from single static vector inputs using varying length distal target sequences." College Park, Md. : University of Maryland, 2007. http://hdl.handle.net/1903/6710.

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Thesis (Ph. D.) -- University of Maryland, College Park, 2007.<br>Thesis research directed by: Computer Science. Title from t.p. of PDF. Includes bibliographical references. Published by UMI Dissertation Services, Ann Arbor, Mich. Also available in paper.
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Chakrabarti, Saikat. "EFFICIENT AND SCALABLE NETWORK SECURITY PROTOCOLS BASED ON LFSR SEQUENCES." UKnowledge, 2008. http://uknowledge.uky.edu/gradschool_diss/640.

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The gap between abstract, mathematics-oriented research in cryptography and the engineering approach of designing practical, network security protocols is widening. Network researchers experiment with well-known cryptographic protocols suitable for different network models. On the other hand, researchers inclined toward theory often design cryptographic schemes without considering the practical network constraints. The goal of this dissertation is to address problems in these two challenging areas: building bridges between practical network security protocols and theoretical cryptography. This
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LÖFROTH, BJÖRN. "Mobile traffic dataset comparisons throughcluster analysis of radio network event sequences." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-153914.

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Ericsson regularly collects traffic datasets from different radio networks around the world. These data sets can be used for several research purposes, ranging from general statistics to more specific studies such as system troubleshooting and buffer-level analysis. Currently, a researcher may find it difficult to assess if a certain dataset is useful for aparticular investigation, since there exists no easily accessible overview of the properties of the different data sets.This thesis project aims to make it easier to compare the existing traffic datasets in terms of general statistics, user
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Mondani, Hernan. "Modeling Organizational Dynamics : Distributions, Networks, Sequences and Mechanisms." Doctoral thesis, Stockholms universitet, Sociologiska institutionen, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-139766.

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The study of how social organizations work, change and develop is central to sociology and to our understanding of the social world and its transformations. At the same time, the underlying principles of organizational dynamics are extremely difficult to investigate. This is partly due to the difficulties of tracking organizations, individuals and their interactions over relatively long periods of time. But it is also due to limitations in the kinds of quantitative methods used to tackle these questions, which are for the most part based on regression analysis. This thesis seeks to improve our
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Olofsson, Lars-Gunnar, and Jacob Hellman. "Detecting changes in UERC switches : A sequence analysis of UERC switches in a mobile network." Thesis, Uppsala universitet, Institutionen för informationsteknologi, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-227232.

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This thesis investigates the possibility to analyse a mobile network with sequences of UERC switches specific to each user equipment. An UERC is essentially a channel that carries information and a user equipment connects to different UERCs depending on whether they want to talk and/or send data with different qualities. As a major player in the mobile technology industry, Ericsson strives to optimise the use of the UERCs and are looking for an automated way to detect changes. The first task was to identify and retrieve the required events from the network log files in order to create the UERC
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Bhuiyan, Md Hasanuzzaman. "Parallel Algorithms for Switching Edges and Generating Random Graphs from Given Degree Sequences using HPC Platforms." Diss., Virginia Tech, 2017. http://hdl.handle.net/10919/80299.

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Networks (or graphs) are an effective abstraction for representing many real-world complex systems. Analyzing various structural properties of and dynamics on such networks reveal valuable insights about the behavior of such systems. In today's data-rich world, we are deluged by the massive amount of heterogeneous data from various sources, such as the web, infrastructure, and online social media. Analyzing this huge amount of data may take a prohibitively long time and even may not fit into the main memory of a single processing unit, thus motivating the necessity of efficient parallel algori
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Chenkov, Nikolay. "Network mechanisms underlying sharp wave ripples and memory replay." Doctoral thesis, Humboldt-Universität zu Berlin, 2017. http://dx.doi.org/10.18452/18491.

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Komplexe Muster neuronaler Aktivität entstehen während der Sharp-wave Ripples (SWRs) im Hippocampus und während der Up States im Neokortex (Zuständen mit hoher Aktivität). Sequenzen von Verhalten, die in der Vergangenheit erlebt wurden, werden während des komplexen Musters abgespielt. Die zugrunde liegenden Mechanismen sind nicht gründlich erforscht: Wie können kleine synaptische Veränderungen die großflächige Netzwerkaktivität während des Gedächtnisabrufes und der Gedächtniskonsolidierung kontrollieren? Im ersten Teil dieser Abhandlung wird die Hypothese aufgestellt, dass eine schwac
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Silva, Vinícius de Oliveira. "Human action recognition in image sequences based on a two-stream convolutional neural network classifier." reponame:Repositório Institucional da UnB, 2017. http://repositorio.unb.br/handle/10482/25201.

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Dissertação (mestrado)—Universidade de Brasília, Faculdade de Tecnologia, Departamento de Engenharia Elétrica, 2017.<br>Submitted by Priscilla Sousa (priscillasousa@bce.unb.br) on 2017-10-31T12:50:55Z No. of bitstreams: 1 2017_ViníciusdeOliveiraSilva.pdf: 12072182 bytes, checksum: 8abe6dbc46ba985620334c2ebac9ea8a (MD5)<br>Approved for entry into archive by Raquel Viana (raquelviana@bce.unb.br) on 2017-11-07T14:09:45Z (GMT) No. of bitstreams: 1 2017_ViníciusdeOliveiraSilva.pdf: 12072182 bytes, checksum: 8abe6dbc46ba985620334c2ebac9ea8a (MD5)<br>Made available in DSpace on 2017-11-07T14:09:45Z (
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Butts, John Charles. "Tracking the Sequences of Regulatory Linkages and Their Evolution Within a Fruit Fly Gene Regulatory Network." University of Dayton / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1352918524.

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11

Liang, Xiaoyu. "Computational Methods for Cis-Regulatory Module Discovery." Ohio University / OhioLINK, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1288578177.

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12

Bartoli, Simone. "Deploying deep learning for 3D reconstruction from monocular video sequences." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2021. http://amslaurea.unibo.it/22402/.

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3D reconstruction from monocular video sequences is a field of increasingly interest in the late years. Before the growth of deep learning, the retrieve of depth information from single images was possible only with RGBD sensors or algorithmic approaches. However, the availability of more and more data has allowed the training of monocular depth estimation neural networks, introducing innovative data-driven techniques. Since recovering ground-truth labels for depth estimation is very challenging, most of the research has focused on unsupervised or semi-supervised training approaches. The curre
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España, Boquera Salvador. "Contributions to the joint segmentation and classification of sequences (My two cents on decoding and handwriting recognition)." Doctoral thesis, Universitat Politècnica de València, 2016. http://hdl.handle.net/10251/62215.

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[EN] This work is focused on problems (like automatic speech recognition (ASR) and handwritten text recognition (HTR)) that: 1) can be represented (at least approximately) in terms of one-dimensional sequences, and 2) solving these problems entails breaking the observed sequence down into segments which are associated to units taken from a finite repertoire. The required segmentation and classification tasks are so intrinsically interrelated ("Sayre's Paradox") that they have to be performed jointly. We have been inspired by what some works call the "successful trilogy", which refers to the
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GLOVER, KATHERINE C. "PALEOENVIRONMENTAL EVIDENCE FOR THE LAST TERMINATION IN TWO BOG SEQUENCES AND A REGIONAL NETWORK OF SITES FROM OHIO AND EASTERN INDIANA." University of Cincinnati / OhioLINK, 2004. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1092964861.

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15

Gönner, Lorenz, Julien Vitay, and Fred Hamker. "Predictive Place-Cell Sequences for Goal-Finding Emerge from Goal Memory and the Cognitive Map: A Computational Model." Universitätsbibliothek Chemnitz, 2017. http://nbn-resolving.de/urn:nbn:de:bsz:ch1-qucosa-230378.

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Hippocampal place-cell sequences observed during awake immobility often represent previous experience, suggesting a role in memory processes. However, recent reports of goals being overrepresented in sequential activity suggest a role in short-term planning, although a detailed understanding of the origins of hippocampal sequential activity and of its functional role is still lacking. In particular, it is unknown which mechanism could support efficient planning by generating place-cell sequences biased toward known goal locations, in an adaptive and constructive fashion. To address these quest
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Gönner, Lorenz [Verfasser], Fred H. [Akademischer Betreuer] Hamker, Fred H. [Gutachter] Hamker, Christian [Gutachter] Leibold, and Frédéric [Gutachter] Alexandre. "A network model of the function and dynamics of hippocampal place-cell sequences in goal-directed behavior / Lorenz Gönner ; Gutachter: Fred H. Hamker, Christian Leibold, Frédéric Alexandre ; Betreuer: Fred H. Hamker." Chemnitz : Technische Universität Chemnitz, 2019. http://d-nb.info/1215909845/34.

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Pasa, Luca. "Linear Models and Deep Learning: Learning in Sequential Domains." Doctoral thesis, Università degli studi di Padova, 2017. http://hdl.handle.net/11577/3425865.

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With the diffusion of cheap sensors, sensor-equipped devices (e.g., drones), and sensor networks (such as Internet of Things), as well as the development of inexpensive human-machine interaction interfaces, the ability to quickly and effectively process sequential data is becoming more and more important. There are many tasks that may benefit from advancement in this field, ranging from monitoring and classification of human behavior to prediction of future events. Most of the above tasks require pattern recognition and machine learning capabilities. There are many approaches that have been
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Olivieri, Julia. "Drawing DNA Sequence Networks." Oberlin College Honors Theses / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=oberlin1466511242.

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19

Taylor, Neill Richard. "Neural models of temporal sequences." Thesis, King's College London (University of London), 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.300844.

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20

Davidson, Allan Mark. "A novel maximal-length sequence synchronisation network." Master's thesis, University of Cape Town, 1995. http://hdl.handle.net/11427/21168.

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Spread Spectrum has become a popular digital modulation scheme in recent years. The advantages the scheme offers, at the expense of bandwidth, make it attractive in a multitude of commercial applications. The most common method, and the one of interest in this thesis, of generating Spread Spectrum is multiplying the data waveform by a wideband, digitally generated waveform. This is referred to as Direct Sequence Spread Spectrum. The characteristics of Spread Spectrum systems are determined by the spreading waveform. A common group of spreading waveforms, and the ones dealt with in this text, a
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Ferreira, Irma. "Sequence variation of the amelogenin gene on the Y-chromosome / by Irma Ferreira." North-West University, 2010. http://hdl.handle.net/10394/4412.

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The accurate determination of gender of biological samples has valuable applications in medical and forensic investigations. Gender determination based on length variations in the X-Y homologous amelogenin gene, is part of most commercial multiplex DNA profiling kits. The first report of a failure of the amelogenin sex test was in 1998 when two normal males were typed as female. Subsequently, several amelogenin Y (AMELY) negative males have been reported. This study represents the first report of this phenomenon in the black South African population. This study determined the size of t
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22

Ko, Kai-Chung. "Protocol test sequence generation and analysis using AI techniques." Thesis, University of British Columbia, 1990. http://hdl.handle.net/2429/29192.

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This thesis addresses two major issues in protocol conformance testing: test sequence generation and test result analysis. For test sequence generation, a new approach based on the constraint satisfaction problem (CSP) techniques, which is widely used in the AI community, is presented. This method constructs a unique test sequence for a given FSM by using an initial test sequence, such as a transition tour or an UIO test sequence, and incrementally generating a set of test subsequences which together represent the constraints imposed on the overall structure of the FSM. The new method not only
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23

Mishra, Vishal Vijayshankar. "Sequence-to-Sequence Learning using Deep Learning for Optical Character Recognition (OCR)." University of Toledo / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1513273051760905.

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Hallström, Per, and Per Dellrup. "Improving WiFi positioning through the use of successive in-sequence signal strength samples." Thesis, Växjö University, School of Mathematics and Systems Engineering, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:vxu:diva-590.

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<p>As portable computers and wireless networks are becoming ubiquitous, it is natural to consider the user’s position as yet another aspect to take into account when providing services that are tailored to meet the needs of the consumers. Location aware systems could guide persons through buildings, to a particular bookshelf in a library or assist in a vast variety of other applications that can benefit from knowing the user’s position.</p><p>In indoor positioning systems, the most commonly used method for determining the location is to collect samples of the strength of the received signal fr
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Yang, Qingwu. "Finding conserved patterns in biological sequences, networks and genomes." [College Station, Tex. : Texas A&M University, 2007. http://hdl.handle.net/1969.1/ETD-TAMU-2465.

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Ragonnet-Cronin, Manon Lily. "Transmission networks inferred from HIV sequence data." Thesis, University of Edinburgh, 2015. http://hdl.handle.net/1842/16151.

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HIV in the UK in the 1980s was concentrated within men who have sex with men (MSM) and people who inject drugs (PWID) but heterosexual sex is now the most frequently reported risk behaviour. As these risk groups are associated with different virus populations, this is reflected in the subtype diversification of the UK epidemic, which was historically dominated by subtype B. I have made use of a national database of HIV sequences collected during routine clinical care, which also contains data on age, sex, route of exposure & ethnicity. The 2014 release of the UK HIV Drug Resistance Database co
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Graves, Alex. "Supervised sequence labelling with recurrent neural networks." kostenfrei, 2008. http://mediatum2.ub.tum.de/doc/673554/673554.pdf.

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Calvert, David. "A distance-based neural network model for sequence processing." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk2/tape17/PQDD_0010/NQ30591.pdf.

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Fichtenholtz, Alexander Michael. "In silico bacterial gene regulatory network reconstruction from sequence." Thesis, Boston University, 2012. https://hdl.handle.net/2144/32880.

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Thesis (Ph.D.)--Boston University<br>PLEASE NOTE: Boston University Libraries did not receive an Authorization To Manage form for this thesis or dissertation. It is therefore not openly accessible, though it may be available by request. If you are the author or principal advisor of this work and would like to request open access for it, please contact us at open-help@bu.edu. Thank you.<br>DNA sequencing techniques have evolved to the point where one can sequence millions of bases per minute, while our capacity to use this information has been left behind. One particularly notorious example is
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Huang, Yiming. "Phoneme Recognition Using Neural Network and Sequence Learning Model." Ohio University / OhioLINK, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1236027180.

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31

Renfei, Han. "Using Attention-based Sequence-to-Sequence Neural Networks for Transcription of Historical Cipher Documents." Thesis, Uppsala universitet, Institutionen för lingvistik och filologi, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-420322.

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Encrypted historical manuscripts (also called ciphers), containing encoded information, provides a useful resource for giving new insight into our history. Transcribing these manuscripts from image format to computer readable format is a necessary step for decrypting them. In this thesis project, we explore automatic approaches of Hand Written Text Recognition (HTR) for cipher image transcription line by line.In this thesis project, We applied an attention-based Sequence-to-Sequence (Seq2Seq) model for the automatic transcription of ciphers with three different writing systems. We tested/devel
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Vincent-Lamarre, Philippe. "Learning Long Temporal Sequences in Spiking Networks by Multiplexing Neural Oscillations." Thesis, Université d'Ottawa / University of Ottawa, 2019. http://hdl.handle.net/10393/39960.

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Many living organisms have the ability to execute complex behaviors and cognitive processes that are reliable. In many cases, such tasks are generated in the absence of an ongoing external input that could drive the activity on their underlying neural populations. For instance, writing the word "time" requires a precise sequence of muscle contraction in the hand and wrist. There has to be some patterns of activity in the areas of the brain responsible for this behaviour that are endogenously generated every time an individual performs this action. Whereas the question of how such neural code i
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Ozbilgin, Izzet Gokhan. "Reroute Sequence Planning In Multiprotocol Label Switching Networks." Master's thesis, METU, 2004. http://etd.lib.metu.edu.tr/upload/2/12605590/index.pdf.

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REROUTE SEQUENCE PLANNING IN MULTIPROTOCOL LABEL SWITCHING NETWORKS The growth of the Internet has caused the development of new protocols that enable IP networks to be engineered efficiently. One such protocol, Multiprotocol Label Switching (MPLS) enables IP datagrams in backbone networks to be forwarded based on the label switching forwarding paradigm. In MPLS networks, rerouting of Label Switching Paths (LSPs) can be needed in order to attain a better resource utilization in the network. In this case, a sequence of LSPs has to be found for their one by one reconfiguration without service
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Del, Río Fernández Miguel Ángel. "Structure and geometry in sequence-processing neural networks." Thesis, Massachusetts Institute of Technology, 2020. https://hdl.handle.net/1721.1/129881.

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Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, February, 2020<br>Cataloged from student-submitted PDF of thesis. Pages 166 and 167 are blank.<br>Includes bibliographical references (pages 161-165).<br>Recent success of state-of-the-art neural models on various natural language processing (NLP) tasks has spurred interest in understanding their representation space. In the following chapters we will use various techniques of representational analysis to understand the nature of neural-network based language modelling. To introdu
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Özbilgin, İzzet Gökhan Supervisor :. Bazlamaçcı Cüneyt F. "Reroute sequence planning in multiprotocol label switching networks." Ankara : METU, 2004. http://etd.lib.metu.edu.tr/upload/2/12605590/index.pdf.

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Reinhardt, Astrid. "Neural network-based methods for large scale protein sequence analysis." Thesis, University of Cambridge, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.624141.

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Merlotti, Alessandra <1987&gt. "Characterization of DNA sequence properties through network and statistical approaches." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2021. http://amsdottorato.unibo.it/9848/1/Merlotti_Alessandra_tesi.pdf.

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In this thesis we will see that the DNA sequence is constantly shaped by the interactions with its environment at multiple levels, showing footprints of DNA methylation, of its 3D organization and, in the case of bacteria, of the interaction with the host organisms. In the first chapter, we will see that analyzing the distribution of distances between consecutive dinucleotides of the same type along the sequence, we can detect epigenetic and structural footprints. In particular, we will see that CG distance distribution allows to distinguish among organisms of different biological complexity,
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Allen, Michael James. "Artificial intelligence techniques for efficient object location in image sequences." Thesis, University of Wolverhampton, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.343257.

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Mehta, Manish P. "Prediction of manufacturing operations sequence using recurrent neural networks." Ohio : Ohio University, 1997. http://www.ohiolink.edu/etd/view.cgi?ohiou1177089656.

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Bengio, Yoshua. "Artificial neural networks and their application to sequence recognition." Thesis, McGill University, 1991. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=70220.

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This thesis studies the introduction of a priori structure into the design of learning systems based on artificial neural networks applied to sequence recognition, in particular to phoneme recognition in continuous speech. Because we are interested in sequence analysis, algorithms for training recurrent networks are studied and an original algorithm for constrained recurrent networks is proposed and test results are reported. We also discuss the integration of connectionist models with other analysis tools that have been shown to be useful for sequences, such as dynamic programming and hidden
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Yang, Jie. "Spreading sequence design for relay networks under multipath fading." Diss., Wichita State University, 2014. http://hdl.handle.net/10057/10946.

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Multipath frequency-selective fading can degrade the performance of a wireless communication system significantly as the data rate increases, e.g., when the data rate is as high as those of systems beyond long-term evolution (LTE)-Advanced. An effective method to combat multipath fading is a code division multiple access (CDMA) scheme. The objective of this dissertation is to present an effective method in designing nonbinary, secure, and optimum spreading and despreading pseudo noise (PN) sequences for CDMA multi-relay networks under frequency-selective fading by employing a maximum signal-to
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Smythe, Colin. "Direct sequence spread spectrum techniques in local area networks." Thesis, Durham University, 1985. http://etheses.dur.ac.uk/6804/.

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This thesis describes the application of a direct sequence spread spectrum modulation scheme to the physical layer of a local area networks subsequently named the SS-LAN. Most present day LANs employ erne form or another of time division multiplexing which performs well in many systems but which is limited by its very nature in real time, time critical and time demanding applications. The use of spread spectrum multiplexing removes these limitations by providing a simultaneous multiple user access capability to the channel which permits each and all nodes to utilise the channel independent of
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Bozward, David V. "Capacity improvements for a direct-sequence code division multiple access network." Thesis, Aston University, 1995. http://publications.aston.ac.uk/8239/.

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The rapidly increasing demand for cellular telephony is placing greater demand on the limited bandwidth resources available. This research is concerned with techniques which enhance the capacity of a Direct-Sequence Code-Division-Multiple-Access (DS-CDMA) mobile telephone network. The capacity of both Private Mobile Radio (PMR) and cellular networks are derived and the many techniques which are currently available are reviewed. Areas which may be further investigated are identified. One technique which is developed is the sectorisation of a cell into toroidal rings. This is shown to provide an
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Kiema, Ilkka. "Essays on the economics of intellectual property rights /." [Helsinki] : University of Helsinki, 2008. https://oa.doria.fi/bitstream/handle/10024/42546/essayson.pdf?sequence=1.

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Liu, Kai. "Detecting stochastic motifs in network and sequence data for human behavior analysis." HKBU Institutional Repository, 2014. https://repository.hkbu.edu.hk/etd_oa/60.

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With the recent advent of Web 2.0, mobile computing, and pervasive sensing technologies, human activities can readily be logged, leaving digital traces of di.erent forms. For instance, human communication activities recorded in online social networks allow user interactions to be represented as “network” data. Also, human daily activities can be tracked in a smart house, where the log of sensor triggering events can be represented as “sequence” data. This thesis research aims to develop computational data mining algorithms using the generative modeling approach to extract salient patterns (mot
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Tzvi-Minker, Elinor [Verfasser]. "Neural networks underlying implicit motor sequence learning / Elinor Tzvi-Minker." Lübeck : Zentrale Hochschulbibliothek Lübeck, 2016. http://d-nb.info/1103155911/34.

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Khouzam, Bassem. "Neural networks as cellular computing models for temporal sequence processing." Thesis, Supélec, 2014. http://www.theses.fr/2014SUPL0007/document.

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La thèse propose une approche de l'apprentissage temporel par des mécanismes d'auto-organisation à grain fin. Le manuscrit situe dans un premier temps le travail dans la perspective de contribuer à promouvoir une informatique cellulaire. Il s'agit d'une informatique où les calculs se répartissent en un grand nombre de calculs élémentaires, exécutés en parallèle, échangeant de l'information entre eux. Le caractère cellulaire tient à ce qu'en plus d’être à grain fin, une telle architecture assure que les connexions entre calculateurs respectent une topologie spatiale, en accord avec les contrain
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Tsuzuki, Shinji. "Sequence Design and Access Protocol for Baseband DS-CDMA Networks." Kyoto University, 1999. http://hdl.handle.net/2433/182379.

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Li, Chang. "Sequence learning using deep neural networks with flexibility and interpretability." Thesis, The University of Sydney, 2021. https://hdl.handle.net/2123/25390.

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Throughout this thesis, I investigate two long-standing yet rarely explored sequence learning challenges under the Probabilistic Graphical Models (PGMs) framework: learning multi-timescale representations on a single sequence and learning higher-order dynamics between multi-sequences. The first challenge is tackled with Hidden Markov Models (HMMs), a type of directed PGMs, under the reinforcement learning framework. I prove that the Semi-Markov Decision Problem (SMDP) formulated option framework [Sutton et al., 1999, Bacon et al., 2017, Zhang and Whiteson, 2019], one of the most promising Hier
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Charitidis, Theoharis. "Sequence Prediction for Identifying User Equipment Patterns in Mobile Networks." Thesis, KTH, Matematisk statistik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-266380.

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With an increasing demand for bandwidth and lower latency in mobile communication networks it becomes gradually more important to improve current mobile network management solutions using available network data. To improve the network management it can for instance be of interest to infer future available bandwidth to the end user of the network. This can be done by utilizing the current knowledge of real-time user equipment (UE) behaviour in the network. In the scope of this thesis interest lies in, given a set of visited radio access points (cells), to predict what the next one is going to b
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