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Temporal data Mining: Uncovering Patterns in Time-Series data Streams with Machine Learning 10

Temporal Data Mining: Uncovering Patterns in Time-Series Dat...

10th IEEE Uttar Pradesh Section international Conference on Electrical, Electronics and Computer Engineering, UPCON 2023

作者： Harika, Ala Aravinda, K. Nagpal, Amandeep Singh, Dev Vikram Praveen Abdulaali, Hayder Saadoon Institute of Aeronautical Engineering Hyderabad India New Horizon College of Engineering Department of Electronics and Communication Engineering Bangalore India Lovely Professional University Phagwara India Engineer Dxc Technologies Lloyd Institute of Engineering & Technology Greater Noida India College of Engineering Technology National University of Science and Technology Dhi Qar Iraq

ISBN: (纸本)9798350382471

Temporal data mining is an advanced analytical field that focuses on the extraction of interpretable patterns, correlations, and trends over time within data streams. this paper presents a comprehensive framework for uncovering hidden structures in time-series data through sophisticated machine learning algorithms. the research introduces a novel methodology that integrates time-series decomposition, anomaly detection, and predictive modeling, leveraging the inherent temporal dynamics for enhanced data intelligence. the approach is distinguished by its adaptability to real-time data streams, robustness against noise, and capability for handling large-scale datasets prevalent in the era of Big data. the framework's efficacy is demonstrated through its application to diverse industry scenarios, including financial markets forecasting, environmental monitoring, and Internet of things (IoT) sensor data analysis, providing actionable insights with high precision. the proposed system employs a combination of unsupervised and supervised learning techniques, with a particular emphasis on deep learning models that capitalize on their ability to learn complex temporal representations. the paper further discusses the implications of the findings for future research and the potential integration of the framework into existing data analysis pipelines for real-world impact. Methodological advancements and practical applications are explored, setting the stage for new directions in temporal data analysis. © 2023 IEEE.

关键词： Anomaly Detection Machine Learning Predictive Modeling Temporal data Mining Time-Series Analysis

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A Simple Region Inference Algorithm for a First-Order Functional Language

A Simple Region Inference Algorithm for a First-Order Functi...

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18th international workshop on Functional and Constraint Logic Programming

作者： Montenegro, Manuel Pena, Ricardo Segura, Clara Univ Complutense Madrid Dept Sistemas Informat & Computac E-28040 Madrid Spain

ISBN: (纸本)9783642119989

Safe is a first-order eager language with facilities for programmer controlled destruction and copying of data structures. It provides also regions, i.e. disjoint parts of the heap, where the program allocates data structures. the runtime system does not need a garbage collector and all allocation/deallocation actions are done in constant time. the language is aimed at inferring and certifying upper bounds for memory consumption in a Proof Carrying Code environment. Some of its analyses have been presented elsewhere [7,8]. In this paper we present an inference algorithm for annotating programs with regions which is both simpler to understand and more efficient than other related algorithms. Programmers are assumed to write programs and to declare datatypes without any reference to regions. the algorithm decides the regions needed by every function. It also allows polymorphic recursion with respect to regions. We show convincing examples of programs before and after region annotation, prove the correctness and optimality of the algorithm, and give its asymptotic cost.

关键词： data structures

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Make evolutionary multiobjective algorithms scale better with advanced data structures: Van emde boas tree for non-dominated sorting 10th

Make evolutionary multiobjective algorithms scale better wit...

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10th international Conference on Evolutionary Multi-Criterion Optimization, EMO 2019

作者： Buzdalov, Maxim ITMO University 49 Kronverkskiy Avenue Saint Petersburg197101 Russia

ISBN: (纸本)9783030125974

We improve the worst-case time complexity of non-dominated sorting, an operation frequently used in evolutionary multiobjective algorithms, to O(n·(log n)k-2 log log n), where n is the number of solutions, k is the number of objectives, and the random-access memory computation model is assumed. this improvement was possible thanks to the van Emde Boas tree, an "advanced" data structure which stores a set of non-negative integers less than n and supports many queries in O(log log n). this is not only a theoretical improvement, as we also provide an efficient implementation of the van Emde Boas tree, which resulted in a competitive algorithm that scales better than other algorithms when n grows, at least for small numbers of objectives greater than two. © Springer Nature Switzerland AG 2019.

关键词： Forestry

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Large-scale time-resolved digital particle image velocimetry (TR-DPIV) for measurement of high subsonic hot coaxial jet exhaust of a gas turbine engine

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MEASUREMENT SCIENCE AND TECHNOLOGY 2009年第7期20卷 074002 (15-074002 (15页

作者： Timmerman, B. H. Skeen, A. J. Bryanston-Cross, P. J. Graves, M. J. Univ Warwick Opt Engn Lab Sch Engn Coventry CV4 7AL W Midlands England

the development of a highly configurable triple digital particle image velocimetry (DPIV) system is described, which is capable of acquiring both continuous, statistically independent measurements at up to 14 Hz and time-resolved PIV data at MHz rates. the system was used at QinetiQ's Noise Test Facility (NTF) as part of the EU-funded CoJeN programme to obtain measurements from high subsonic (Mach <= 0.9), hot (similar to 500 degrees C), large (1/10th) scale coaxial jet flows at a standoff distance of similar to 1 m. High-resolution time-averaged velocity and turbulence data were obtained for complete coaxial engine exhaust plumes down to 4 m (20 jet diameters) from the nozzle exit in less than 1 h. In addition, the system allowed volumetric data to be obtained, enabling fast assessment of spatial alignment of nozzle configurations. Furthermore, novel six-frame time-series data-capture is demonstrated up to 330 kHz, used to calculate time-space correlations within the exhaust, allowing for study of spatio-temporal developments in the jet, associated with jet-noise production. the highly automated system provides synchronization triggers for simultaneous acquisition from different measurement systems (e.g. LDA) and is shown to be versatile, rugged, reliable and portable, operating remotely in a hostile environment. data are presented for three operating conditions and two nozzle geometries, providing a database to be used to validate CFD models of coaxial jet flow.

关键词： digital particle image velocimetry coaxial jet noise Noise Test Facility aero-acoustics space-time correlations coherent structures high subsonic

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3D Slicer Craniomaxillofacial Modules Support Patient-Specific Decision-Making for Personalized Healthcare in Dental Research 10th

3D Slicer Craniomaxillofacial Modules Support Patient-Specif...

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10th international workshop on Multimodal Learning for Clinical Decision Support.(ML-CDS) / 9th international workshop on Clinical Image-based Procedures - From Planning to Intervention (CLIP)

作者： Bianchi, Jonas Paniagua, Beatriz Ruellas, Antonio Carlos De Oliveira Fillion-Robin, Jean-Christophe Prietro, Juan C. Goncalves, Joao Roberto Hoctor, James Yatabe, Marilia Styner, Martin Li, TengFei Gurgel, Marcela Lima Chaves Junior, Cauby Maia Massaro, Camila Garib, Daniela Gamba Vilanova, Lorena Castanha Henriques, Jose Fernando Aliaga-Del Castillo, Aron Janson, Guilherme Iwasaki, Laura R. Nickel, Jeffrey C. Evangelista, Karine Cevidanes, Lucia Univ Michigan 1011 North Univ Ave Ann Arbor MI 48109 USA Kitware Incorp Carrboro NC 27510 USA Univ N Carolina Chapel Hill NC 27599 USA Sao Paulo State Univ BR-14801903 Araraquara SP Brazil Univ Fed Ceara BR-60020181 Fortaleza CE Brazil Univ Sao Paulo BR-17011220 Bauru SP Brazil Oregon Hlth & Sci Univ Portland OR 97201 USA Univ Fed Goias BR-74690900 Goiania Go Brazil

ISBN: (纸本)9783030609450;9783030609467

the biggest challenge to improve the diagnosis and therapies of Craniomaxillofacial conditions is to translate algorithms and software developments towards the creation of holistic patient models. A complete picture of the individual patient for treatment planning and personalized healthcare requires a compilation of clinician-friendly algorithms to provide minimally invasive diagnostic techniques with multimodal image integration and analysis. We describe here the implementation of the open-source Craniomaxillofacial module of the 3D Slicer software, as well as its clinical applications. this paper proposes data management approaches for multisource data extraction, registration, visualization, and quantification. these applications integrate medical images with clinical and biological data analytics, user studies, and other heterogeneous data.

关键词： Personalized medicine data management data analytics Craniomaxillofacial diseases Dental research

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Efficient data representation of large job schedules

Efficient data representation of large job schedules

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7th international Doctoral workshop on Mathematical and Engineering Methods in Computer Science, MEMICS 2011

作者： Klusáček, Dalibor Rudová, Hana Faculty of Informatics Masaryk University Czech Republic

ISBN: (纸本)9783642259289

the increasing popularity of advanced schedule-based techniques designed to solve Grid scheduling problems requires the use of efficient data structures to represent the constructed job schedules. Based on our previous research in the area of advanced scheduling algorithms we have developed data representation designed to maintain large job schedules. We provide new details of the applied representation, especially about the binary heap data structure. the heap guarantees good efficiency of the crucial schedule update procedure which is used to keep the schedule consistent and up-to-date subject to dynamically changing state of the system. We prove the time complexity related to the use of such a structure and-using an experimental evaluation-we demonstrate the performance of this structure even for very large job schedules. © 2012 Springer-Verlag Berlin Heidelberg.

关键词： Scheduling algorithms

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An automatic segmentation and reconstruction of mandibular structures from CT-data

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10th international Conference on Intelligent data Engineering and Automated Learning, IDEAL 2009

作者： Barandiaran, Iñigo MacÍa, Iván Berckmann, Eva Wald, Diana Dupillier, Michael Pierre Paloc, Céline Graña, Manuel VICOMTech Spain Division of Medical and Biological Informatics German Cancer Research Center Germany Spain

ISBN: (纸本)3642043933

In any medical data analysis a good visualization of specific parts or tissues are fundamental in order to perform accurate diagnosis and treatments. For a better understanding of the data, a segmentation process of the images to isolate the area or region of interest is important to be applied beforehand any visualization step. In this paper we present a method for mandibular structure surface extraction and reconstruction from CT-data images. We tested several methods and algorithms in order to find a fast and feasible approach that could be applicable in clinical procedures, providing practical and efficient tools for mandibular structures analysis. © 2009 Springer Berlin Heidelberg.

关键词： Image segmentation

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Detection of Stiffness and Mass Changes Separately Using Time Series Analysis with Output-only Vibration data 10

Detection of Stiffness and Mass Changes Separately Using Tim...

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10th international workshop on Structural Health Monitoring (IWSHM)

作者： Do, Ngoan Tien Guel, Mustafa Univ Alberta Dept Civil & Environm Engn Edmonton AB T6G 2M7 Canada

ISBN: (纸本)9781605952758

Operational effects on the structures (such as mass changes due to traffic crossing a bridge) introduce uncertainties in the damage detection process. When such changes and structural deteriorations happen simultaneously, damage detection becomes more complicated in defining how changes in mass and stiffness affect the changes in the structural properties and eventually the collected data. thus, this paper focuses on developing a new methodology to detect changes in stiffness and eliminate operational effects e.g. mass separately based on a novel time series approach using output only vibration data. In this methodology, the difference Autoregressive moving average models with eXogenous inputs (ARMAX) coefficients are utilized as Stiffness Damage Features (SDFs) and Mass Damage Features (MDFs) to determine the existence, location and severity of the damage or mass change. the shear type IASC-ASCE benchmark problem was utilized to verify the approach. the results show that changes in mass and stiffness can be clearly detected and damage's severity, location are also revealed successfully. Current limitations and plans are also discussed.

关键词： Stiffness

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Cognitive parameter adaption in regular control structures using process knowledge for parameter adaption

Cognitive parameter adaption in regular control structures u...

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10th international Conference on Informatics in Control, Automation and Robotics, ICINCO 2013

作者： Schmid, Martin Berger, Simon Reinhart, Gunther Project Group RMV of Fraunhofer IWU Beim Glaspalast 5 Augsburg Germany Institute for Machine Tools and Industrial Management Technical University Munich Munich Germany

ISBN: (纸本)9789898565709

the colour control system of an offset printing machine is one example, where modern information processing technologies allow an improved process control and higher resource efficiency. It is not possible to measure the printing quality during production start. So no regular closed loop control can be used. For better system behaviour a simulation model is integrated to calculate the printing quality at any time. To get an optimal process performance, a high simulation quality must be ensured, which includes a compensation of process simulation inaccuracies as well as variable influences. therefore a cognitive system is installed, which measures the most important influences like the used paper and many other process parameters. After each production the right model parameters will be calculated by identification algorithms. So a data set with influences and parameters is available. For the next production run the best-fitting parameters for the simulation model can be calculated by a Neural Network. Additionally wear and deposits, which change the machine's performance, can be compensated. the simulation accuracy and the process control quality rises, which enables a faster run-up. Savings of paper, ink, energy and time allow an economic application of this control concept.

关键词： Process control

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Real-Time Markerless Respiratory Motion Management Using thermal Sensor data 1

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10th international workshop on Augmented Environments for Computer-Assisted Interventions (AE-CAI)

作者： Kaiser, Hagen Fallavollita, Pascal Navab, Nassir Tech Univ Munich D-80290 Munich Germany

ISBN: (数字)9783319246017

ISBN: (纸本)9783319246017;9783319246000

We present a novel approach to jointly generate multidimensional breathing signals and identify unintentional patient motion based on thermal torso imaging. the system can operate at least 30% faster than the currently fastest optical surface imaging systems. It provides easily obtainable point-to-point correspondences on the patients surface which makes the current use of computationally heavy non-rigid surface registration algorithms obsolete in our setup, as we can show that 2d tracking is sufficient to solve our problem. In a volunteer study consisting of 5 patient subjects we show that we can use the information to automatically separate unintentional movement, due to pain or coughing, from breathing motion to signal the user that it is necessary to re-register the patient. the method is validated on ground-truth annotated thermal videos and a clinical IR respiratory motion tracking system.

关键词： Medical imaging

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