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Zeitschriftenartikel zum Thema „Automaticky generator dat“

Autor: Grafiati

Veröffentlicht am 28. Juni 2021

Zuletzt aktualisiert am 29. Juli 2025

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1

Kumar, Gagan, and Vinay Chopra. "Automatic Test Data Generation for Basis Path Testing." Indian Journal Of Science And Technology 15, no. 41 (2022): 2151–61. http://dx.doi.org/10.17485/ijst/v15i41.1503.

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Agarwal, Sumesh, Shubham Gupta, and Nitish Sabharwal. "Automatic Test Data Generation-Achieving Optimality Using Ant-Behaviour." International Journal of Information and Education Technology 6, no. 2 (2016): 117–21. http://dx.doi.org/10.7763/ijiet.2016.v6.669.

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3

Grigalis, Tomas, and Antanas Čenys. "Unsupervised Structured Data Extraction from Template-generated Web Pages." JUCS - Journal of Universal Computer Science 20, no. (2) (2014): 169–92. https://doi.org/10.3217/jucs-020-02-0169.

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This paper studies structured data extraction from template-generated Web pages. Such pages contain most of structured data on the Web. Extracted structured data can be later integrated and reused in very big range of applications, such as price comparison portals, business intelligence tools, various mashups and etc. It encourages industry and academics to seek automatic solutions. To tackle the problem of automatic structured Web data extraction we present a new approach - structured data extraction based on clustering visually similar Web page elements. Our method called ClustVX combines vi

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Riou, Matthieu, Bassam Jabaian, Stéphane Huet, and Fabrice Lefèvre. "Reinforcement adaptation of an attention-based neural natural language generator for spoken dialogue systems." Dialogue & Discourse 10, no. 1 (2019): 1–19. http://dx.doi.org/10.5087/dad.2019.101.

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Following some recent propositions to handle natural language generation in spoken dialogue systems with long short-term memory recurrent neural network models~\citep{Wen2016a} we first investigate a variant thereof with the objective of a better integration of the attention subnetwork. Then our next objective is to propose and evaluate a framework to adapt the NLG module online through direct interactions with the users. When doing so the basic way is to ask the user to utter an alternative sentence to express a particular dialogue act. But then the system has to decide between using an autom

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Liu, Ming, Rafael A. Calvo, and Vasile Rus. "G-Asks: An Intelligent Automatic Question Generation System for Academic Writing Support." Dialogue & Discourse 3, no. 2 (2012): 101–24. http://dx.doi.org/10.5087/dad.2012.205.

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Many electronic feedback systems have been proposed for writing support. However, most of these systems only aim at supporting writing to communicate instead of writing to learn, as in the case of literature review writing. Trigger questions are potentially forms of support for writing to learn, but current automatic question generation approaches focus on factual question generation for reading comprehension or vocabulary assessment. This article presents a novel Automatic Question Generation (AQG) system, called G-Asks, which generates specific trigger questions as a form of support for stud

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Umair, Muhammad, Julia Beret Mertens, Saul Albert, and J. P. De Ruiter. "GailBot: An automatic transcription system for Conversation Analysis." Dialogue & Discourse 13, no. 1 (2022): 63–95. http://dx.doi.org/10.5210/dad.2022.103.

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Researchers studying human interaction, such as conversation analysts, psychologists, and linguists, all rely on detailed transcriptions of language use. Ideally, these should include so-called paralinguistic features of talk, such as overlaps, prosody, and intonation, as they convey important information. However, creating conversational transcripts that include these features by hand requires substantial amounts of time by trained transcribers. There are currently no Speech to Text (STT) systems that are able to integrate these features in the generated transcript. To reduce the resources ne

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A.V., Vlasenko, Köhl A., and Stammer D. "The efficiency of geophysical adjoint codes generated by automatic differentiation tools." Computer Physics Communications 199 (October 30, 2015): 22–28. https://doi.org/10.1016/j.cpc.2015.10.008.

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The accuracy of numerical models that describe complex physical or chemical processes depends on the choice of model parameters. Estimating an optimal set of parameters by optimization algorithms requires knowledge of the sensitivity of the process of interest to model parameters. Typically the sensitivity computation involves differentiation of the model, which can be performed by applying algorithmic differentiation (AD) tools to the underlying numerical code. However, existing AD tools differ substantially in design, legibility and computational efficiency. In this study we show that, for g

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Li, Yu He, Xin Li Bai, and Han Han Sun. "Parametric Drawing Based Optimal Design of Aqueduct Structure." Applied Mechanics and Materials 90-93 (September 2011): 2746–49. http://dx.doi.org/10.4028/www.scientific.net/amm.90-93.2746.

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In the optimal design of large prestressed aqueduct structure, the optimal design results need to be automatically drawn. In this paper, the parametric drawing method is proposed by combining high-level programming language FORTRAN and Auto LISP, and developed a designing system of mixed programming using FORTRAN and Auto LISP. The programming system is applied to the optimal design process of large prestressed aqueduct with rectangle and U-shaped cross-section. The optimal design result is automatically transformed into visual graphics (documents), therefore realized the automatic drawing. In

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Agarwal, Neeraj, Neeru Agarwal, Chih-Wen Lu, and Masahito Oh-e. "A 33 MHz Fast-Locking PLL with Programmable VCO and Automatic Band Selection for Clock Generator Application." Electronics 10, no. 14 (2021): 1743. http://dx.doi.org/10.3390/electronics10141743.

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This paper presents a prototype of an auto-ranging phase-locked loop (PLL) with low jitter noise over a wide operating frequency range using the multiband programmable voltage-controlled oscillator (VCO) gain stage with automatic band selection. We successfully reduce the VCO gain (Kvco) and retain the desired frequency band. The proposed PLL comprises a prescaler, phase frequency detector (PFD), charge pump (CP), programmable VCO and automatic band selection circuit. The PLL prototype with all subblocks was implemented using the TSMC 0.18 μm 1P6M process. Contrary to conventional PLL architec

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V., Geetha, C.K.Gomathy, Reddy Y.Padmini, and V.Haripriya. "The Weed Plant Detection." International Journal of Engineering and Advanced Technology (IJEAT) 10, no. 4 (2021): 206–10. https://doi.org/10.35940/ijeat.D2454.0410421.

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The Knowledge about the distribution of weeds within the sector could also be prerequisite for the site-specific treatment. Optical sensors changes to detect vary weed densities and species which can have mapped using GPS data. Weeds are extracted from the pictures that are using the image processing and therefore the report by the form features. The classification supported the features reveal the type and therefore the number of weeds per the image. For the classification the sole maximum of sixteen features out of the eighty-one computed ones is employed. Which enables the optimal distincti

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Girgis, Moheb. "Automatic Test Data Generation for Data Flow Testing Using a Genetic Algorithm." JUCS - Journal of Universal Computer Science 11, no. (6) (2005): 898–915. https://doi.org/10.3217/jucs-011-06-0898.

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One of the major difficulties in software testing is the automatic generation of test data that satisfy a given adequacy criterion. This paper presents an automatic test data generation technique that uses a genetic algorithm (GA), which is guided by the data flow dependencies in the program, to search for test data to cover its def-use associations. The GA conducts its search by constructing new test data from previously generated test data that are evaluated as effective test data. The approach can be used in test data generation for programs with/without loops and procedures. The proposed G

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Jia, Qinjin, Mitchell Young, Yunkai Xiao, et al. "Automated Feedback Generation for Student Project Reports: A Data-Driven Approach." Journal of Educational Data Mining 14, no. 3 (2022): 132–61. https://doi.org/10.5281/zenodo.7304954.

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Instant feedback plays a vital role in promoting academic achievement and student success. In practice, however, delivering timely feedback to students can be challenging for instructors for a variety of reasons (e.g., limited teaching resources). In many cases, feedback arrives too late for learners to act on the advice and reinforce their understanding. To this end, researchers have designed various automated feedback systems in different domains, including novice programming, short-essay writing, and openended questions. To the best of our knowledge, no previous study has investigated autom

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Hron, V., and L. Halounova. "USE OF AERIAL IMAGES FOR REGULAR UPDATES OF BUILDINGS IN THE FUNDAMENTAL BASE OF GEOGRAPHIC DATA OF THE CZECH REPUBLIC." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-3/W2 (March 10, 2015): 73–79. http://dx.doi.org/10.5194/isprsarchives-xl-3-w2-73-2015.

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Digital aerial images (DAI) include position, elevation and also spectral information (visible bands and near-infrared band) about the captured area. The aim of this paper is to present the possibilities of automatic analysis of DAI for updating of the Fundamental Base of Geographic Data of the Czech Republic with a focus on buildings. Regular updates of buildings (automatic detection of new and demolished buildings) are based on the analysis of coloured point clouds created by an automatic image matching technique from each time period. The created approach compares point clouds from differen

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Omar, El Midaoui, El Ghali Btihal, El Qadi Abderrahim, and Driss Rahmani Moulay. "Geographical queries reformulation using a parallel association rules generator to build spatial taxonomies." International Journal of Electrical and Computer Engineering (IJECE) 11, no. 3 (2021): 2586–94. https://doi.org/10.11591/ijece.v11i3.pp2586-2594.

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Geographical queries need a special process of reformulation by information retrieval systems (IRS) due to their specificities and hierarchical structure. This fact is ignored by most of web search engines. In this paper, we propose an automatic approach for building a spatial taxonomy, that models’ the notion of adjacency that will be used in the reformulation of the spatial part of a geographical query. This approach exploits the documents that are in top of the retrieved list when submitting a spatial entity, which is composed of a spatial relation and a noun of a city. Then, a transa

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Meng, He, Ran Zhao, Ying Zhang, et al. "A plaque recognition algorithm for coronary OCT images by Dense Atrous Convolution and attention mechanism." PLOS One 20, no. 6 (2025): e0325911. https://doi.org/10.1371/journal.pone.0325911.

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Currently, plaque segmentation in Optical Coherence Tomography (OCT) images of coronary arteries is primarily carried out manually by physicians, and the accuracy of existing automatic segmentation techniques needs further improvement. To furnish efficient and precise decision support, automated detection of plaques in coronary OCT images holds paramount importance. For addressing these challenges, we propose a novel deep learning algorithm featuring Dense Atrous Convolution (DAC) and attention mechanism to realize high-precision segmentation and classification of Coronary artery plaques. Then

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Taha, Lamyaa Gamal EL-Deen, A. I. Ramzi, A. Syarawi, and A. Bekheet. "Urban Feature Extraction from Merged Airborne LiDAR Data and Digital Camera Data." Geoplanning: Journal of Geomatics and Planning 7, no. 2 (2021): 57–74. http://dx.doi.org/10.14710/geoplanning.7.2.57-74.

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Until recently, the most highly accurate digital surface models were obtained from airborne lidar. With the development of a new generation of large format digital photogrammetric aerial camera, a fully digital photogrammetric workflow became possible. Digital airborne images are sources for elevation extraction and orthophoto generation. This research concerned with the generation of digital surface models and orthophotos as applications from high-resolution images. In this research, the following steps were performed. A Benchmark data of LIDAR and digital aerial camera have been used. Firstl

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Dr., B. M. Vidyavathi, V. Pooja N., M. Aishwarya D., Pravallika J., and Srinivasan. "EDUCATOR'S CHRONICLE." International Journal of Computational Research and Development 3, no. 1 (2018): 182–86. https://doi.org/10.5281/zenodo.1285148.

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In recent times organizations and higher educational institutions maintain record of events of individual to keep track of the individual performance. This helps in awarding appraisal, analysis of competence of individuals and also in motivating faculty to improve their performance. In the existing system the task is done individually in own format which is strenuous to analyze and maintain up to date which leads to unavailability of data when needed. In this work we have designed and developed an automated report generation system   that maintains record of events, which when requir

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Pranay, Mungara. "Ensuring Data Quality in Business Intelligence." European Journal of Advances in Engineering and Technology 8, no. 1 (2021): 89–96. https://doi.org/10.5281/zenodo.11908320.

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Many businesses have moved their operations to the cloud in an effort to fortify their data protection and enhance the standard of their business dealings. In modern operations, data quality is paramount. Data used to generate and gather information represents events and occurrences as they happen in real time. Customer happiness, the organization's decision-making strategy, and the organization's plan of execution are all negatively affected by low-quality data. The data quality has a major influence on how well machine learning and deep learning accomplish their duties in terms of accuracy,

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Sodhi, Gurpreet Kour, Gurjot Singh Gaba, Lavish Kansal, Mohamed El Bakkali, and Faisel Em Tubbal. "Implementation of message authentication code using DNA-LCG key and a novel hash algorithm." International Journal of Electrical and Computer Engineering (IJECE) 9, no. 1 (2019): 352–58. https://doi.org/10.11591/ijece.v9i1.pp352-358.

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With the introduction of electronic form of data, the need for an automatic system of security to protect the integrity of data while being transferred from one place to another is required. This is especially the case for a network in which the systems are accessed over a public network or internet. Security mechanisms involve the use of more than one algorithm. They further require that the participants should possess a secret key, which raises issues about creation, distribution and proper usage of these keys. The most effective technique used in provisioning security is Message Authenticat

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Gagan, Kumar, and Chopra Vinay. "Automatic Test Data Generation for Basis Path Testing." Indian Journal of Science and Technology 15, no. 41 (2022): 2151–61. https://doi.org/10.17485/IJST/v15i41.1503.

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Abstract <strong>Objectives:</strong> This paper presents a new hybrid ACO-NSA algorithm for the automatic test data generation problem with path coverage as an objective function. <strong>Method:</strong> In it, at the first instance, test data (detectors) are generated with the ant colony optimization algorithm (ACO), and then the generated data set (detector set) has been refined by a negative selection algorithm (NSA) with Hamming distance. <strong>Findings:</strong> The algorithm’s performance is tested on several benchmark problems with different data types

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Han, Jingyu, Yu Jiang, Guiliang Guo, and Xu Cheng. "A Reconfigurable Analog Baseband Circuitry for LFMCW RADAR Receivers in 130-nm SiGe BiCMOS Process." Electronics 9, no. 5 (2020): 831. http://dx.doi.org/10.3390/electronics9050831.

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A highly reconfigurable open-loop analog baseband circuitry with programmable gain, bandwidth and filter order are proposed for integrated linear frequency modulated continuous wave (LFMCW) radar receivers in this paper. This analog baseband chain allocates noise, gain and channel selection specifications to different stages, for the sake of noise and linearity tradeoffs, by introducing a multi-stage open-loop cascaded amplifier/filter topology. The topology includes a course gain tuning pre-amplifier, a folded Gilbert variable gain amplifier (VGA) with a symmetrical dB-linear voltage generato

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Nguyen, Thanh Binh, Cong Duy Trinh, and Parissis Ioannis. "LusRegTes: A Regression Testing Tool for Lustre Programs." International Journal of Electrical and Computer Engineering (IJECE) 7, no. 5 (2017): 2635–44. https://doi.org/10.11591/ijece.v7i5.pp2635-2644.

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Lustre is a synchronous data-flow declarative language widely used for safety-critical applications (avionics, energy, transport...). In such applications, the testing activity for detecting errors of the system plays a crucial role. During the development and maintenance processes, Lustre programs are often evolving, so regression testing should be performed to detect bugs. In this paper, we present a tool for automatic regression testing of Lustre programs. We have defined an approach to generate test cases in regression testing of Lustre programs. In this approach, a Lustre program is repre

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Ashish, M. Sonawane, G. Thombare D., A. Patil Sanjay, and P. Wani Kiran. "DEVELOPMENT AND IMPLEMENTATION OF DATA LOGGER AND CONTROL STRATEGY FOR AUTOMATIC GEARSHIFT CONTROL FOR TWO-WHEELER." JournalNX - a Multidisciplinary Peer Reviewed Journal RIT PG Con-18 (April 22, 2018): 30–34. https://doi.org/10.5281/zenodo.1413179.

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 Before making any change in the system requires the knowledge of the current condition of the system. Data collection system is one powerful device for information of the current state of the system. In this paper, low-cost data collection system has been prepared. The Arduino platform is used together with the hall-effect sensor, throttle position sensor, clutch position and brake position sensor mounted on the test vehicle to acquire the signals from them. The main objective is to create a data logger system for a two-wheeler which can give the signal to the vehicle controller for furt

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Redouane, Esbai, Hakkou Soufiane, and Achraf Habri Mohamed. "Modeling and automatic generation of data warehouse using model-driven transformation in business intelligence process." Modeling and automatic generation of data warehouse using model-driven transformation in business intelligence process 30, no. 3 (2023): 866–1874. https://doi.org/10.11591/ijeecs.v30.i3.pp1866-1874.

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The work presented in this paper focuses on the modeling and implementation of business intelligence processes, specifically how to apply model-driven architecture (MDA) throughout the entire development process of a data warehouse to automatically generate the multidimensional schema. As a result, this work specifies different rules for automating the process of obtaining an online analytical processing (OLAP) cube and implementing it using a collection of metamodels and automatic transformations. The data warehouse relational and OLAP cube models are then created using a model transformation

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Ngoc, Thi Bich Do. "Generate High-Coverage Unit Test Data Using the LLM Tool." International Journal of Innovative Technology and Exploring Engineering (IJITEE) 13, no. 12 (2024): 13–18. https://doi.org/10.35940/ijitee.L9996.13121124.

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<strong>Abstract:</strong> Unit testing is a critical phase in the software development lifecycle, essential for ensuring the quality and reliability of code. However, the manual creation of unit test scripts and the preparation of corresponding test data can be a time-consuming and labor-intensive process. To address these challenges, several automated approaches have been explored, including search-based, constraint-based, random-based, and symbolic execution-based techniques for generating unit tests. In recent years, the rapid advancement of large language models (LLMs) has opened new aven

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Zamojski, Dawid, Agnieszka Gogler, Dorota Scieglinska, and Michal Marczyk. "EpidermaQuant: Unsupervised Detection and Quantification of Epidermal Differentiation Markers on H-DAB-Stained Images of Reconstructed Human Epidermis." Diagnostics 14, no. 17 (2024): 1904. http://dx.doi.org/10.3390/diagnostics14171904.

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The integrity of the reconstructed human epidermis generated in vitro can be assessed using histological analyses combined with immunohistochemical staining of keratinocyte differentiation markers. Technical differences during the preparation and capture of stained images may influence the outcome of computational methods. Due to the specific nature of the analyzed material, no annotated datasets or dedicated methods are publicly available. Using a dataset with 598 unannotated images showing cross-sections of in vitro reconstructed human epidermis stained with DAB-based immunohistochemistry re

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Poormirzaee, Rashed, Babak Sohrabian, and Pejman Tahmasebi. "Seismic refraction data analysis using machine learning and numerical modeling for characterization of dam construction sites." GEOPHYSICS 87, no. 2 (2021): U21—U28. http://dx.doi.org/10.1190/geo2020-0935.1.

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Seismic refraction is a cost-effective tool to reveal subsurface compressional wave (P-wave) velocity. Inversion of traveltimes for estimating a realistic velocity model is a significant step in the processing of seismic refraction data. The results of the seismic data inversion are stochastic; thus, using prior information or complementary geophysical data can have a significant role in estimating the structural properties based on the observed data. Nevertheless, sufficient prior information or auxiliary data are not available in many geophysical sites. In such situations, developing advance

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Nam, Kyeongsik, Hyungseup Kim, Yongsu Kwon та ін. "A Four-Channel Low-Noise Readout IC for Air Flow Measurement Using Hot Wire Anemometer in 0.18 μm CMOS Technology". Sensors 21, № 14 (2021): 4694. http://dx.doi.org/10.3390/s21144694.

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Air flow measurements provide significant information required for understanding the characteristics of insect movement. This study proposes a four-channel low-noise readout integrated circuit (IC) in order to measure air flow (air velocity), which can be beneficial to insect biomimetic robot systems that have been studied recently. Instrumentation amplifiers (IAs) with low-noise characteristics in readout ICs are essential because the air flow of an insect’s movement, which is electrically converted using a microelectromechanical systems (MEMS) sensor, generally produces a small signal. The f

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S., Tamil Selvi, Helen Prabha K., Preethi G., and Pooja M. "An E-Ornament for Women to Escape the Effects of Date Rape Drugs." International Journal of Innovative Technology and Exploring Engineering (IJITEE) 9, no. 12 (2020): 103–6. https://doi.org/10.35940/ijitee.L7901.1091220.

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India is a developing country which had shown several successful faces in various fields. Though there is a good rate of social, economic and political development in our country on one hand, the amount of violence, crimes and illegal activities are increasing on the other hand. With regard to this, a survey of National Crime Records Bureau had stated that the fourth most common crime in our country is Sexual Assault. To ensnare the victims of sexual assault, women trafficking, robbery and other crimes related to women, criminals most probably uses date rape drugs. In this paper, we had put fo

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Simoes, Felipe, Donat Agosti, and Marcus Guidoti. "Delivering Fit-for-Use Data: Quality control." Biodiversity Information Science and Standards 5 (September 20, 2021): e75432. https://doi.org/10.3897/biss.5.75432.

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Automatic data mining is not an easy task and its success in the biodiversity world is deeply tied to the standardization and consistency of scientific journals' layout structure. The various formatting styles found in the over 500 million pages of published biodiversity information (Kalfatovich 2010), pose a remarkable challenge towards the goal of automating the liberation of data currently trapped on the printed page. Regular expressions and other pattern-recognition strategies invariably fail to cope with this diverse landscape of academic publishing. Challenges such as incomplete data and

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Pavel, Khristo. "ANALYSIS OF THE INFLUENCE OF DRYDOCK MAIN PUMPS DRIVE ON ELECTRIC NETWORK." Eastern-European Journal of Enterprise Technologies 5, no. 8 (101) (2019): 15–35. https://doi.org/10.15587/1729-4061.2019.177837.

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The influence of unadjustable-speed AC drive and adjustable-speed DC drive of the drydock main pumps on the network of the Okean shipyard (Ukraine) is investigated in MatLab SimPowerSystems. To accurately simulate deep-bar induction motors, the own method of determining the parameters of the T-shaped equivalent circuit and viscous friction coefficient of a virtual motor according to catalog data is used. This method is based on formulas that correspond to the T-shaped and refined L-shaped equivalent circuit. It is proposed to introduce the corrected values of the initial starting and critical

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Morin, Sylvain, Alice Ainsa, Raoufou Radji, et al. "Connecting West and Central African Herbaria Data: A new Living Atlases regional data platform." Biodiversity Information Science and Standards 5 (September 13, 2021): e74362. https://doi.org/10.3897/biss.5.74362.

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The label transcription and imaging of specimens in key African herbaria has been ongoing since the early 2000s. Many collections in Benin, Cameroon, Côte d'Ivoire, Gabon, Guinea Conakry, and Togo are now fully transcribed and partially digitized. More than 200 000 transcribed specimens are available with the following distribution:Benin: 45 000Cameroon: 70 000Côte d'Ivoire: 18 000Gabon: 70 000Guinea Conakry: 5 000Togo: 15 000In April 2021, a BID project was started to deliver a regional data platform of West and Central African herbaria. Biodiversity Information for Development (BID) is a mul

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Kuntawala, Dhvani H., Filipa Martins, Rui Vitorino, and Sandra Rebelo. "Automatic Text-Mining Approach to Identify Molecular Target Candidates Associated with Metabolic Processes for Myotonic Dystrophy Type 1." International Journal of Environmental Research and Public Health 20, no. 3 (2023): 2283. http://dx.doi.org/10.3390/ijerph20032283.

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Myotonic dystrophy type 1 (DM1) is an autosomal dominant hereditary disease caused by abnormal expansion of unstable CTG repeats in the 3′ untranslated region of the myotonic dystrophy protein kinase (DMPK) gene. This disease mainly affects skeletal muscle, resulting in myotonia, progressive distal muscle weakness, and atrophy, but also affects other tissues and systems, such as the heart and central nervous system. Despite some studies reporting therapeutic strategies for DM1, many issues remain unsolved, such as the contribution of metabolic and mitochondrial dysfunctions to DM1 pathogenesis

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Aparna, S. Murtadak. "A METHOD OF COMBINING DATA REDUCTION TECHNIQUES FOR EFFECTIVE BUG TRIAGE." INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY 6, no. 2 (2017): 78–83. https://doi.org/10.5281/zenodo.268686.

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In current scenario, software development is having challenge of handling bugs and optimizing software. Daily vast amount of bug information is generated and dealing with these software bugs is an important part in software industry to keep software upgraded. Programming associations spend enormous measure of expense on managing programming bugs as it is an inevitable step of settling bugs, which aims to adequately allot a developer to a new bug. Manual work constitutes huge time cost so to lessen this, text classification techniques are used to perform automatic bug triage. For popular progra

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Lemenkova, Polina. "AWK and GNU Octave Programming Languages Integrated with Generic Mapping Tools for Geomorphological Analysis." GeoScience Engineering 65, no. 4 (2019): 1–22. https://doi.org/10.35180/gse-2019-0020.

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The paper presents a sequential use of the AWK and GNU Octave programming languages integrated with Generic Mapping Tools (GMT) for geospatial data analysis. The geographic scope of the research is focused on the Kuril-Kamchatka Trench, north Pacific Ocean. Practical research aim is to analyse and compare bathymetry in the southern and northern part of the trench using digitized cross- section profiles. The initial mapping and geospatial analysis was performed in GMT scripting toolset. The GMT was used for cartographic mapping based on the raster ETOPO1 grid and automatic digitizing of the pro

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Sherin, Andrew, Jeff McKenna, Paul Boudreau, Mary Kennedy, and Brittany MacGillivray. "Spatial Visualization of Publicly Accessible Species Occurrence Data." Biodiversity Information Science and Standards 1 (August 10, 2017): e20155. https://doi.org/10.3897/tdwgproceedings.1.20155.

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The Coastal and Ocean Information Network Atlantic's (COINAtlantic) mission is to promote, facilitate and influence information management, policies and programs that enhance Integrated Coastal and Ocean Management (ICOM) in Atlantic Canada. A project to support this mission has been underway since 2014 with principle funding from the Atlantic Ecosystem Initiative (Environment and Climate Change Canada) and in the last year also from the Department of Fisheries and Ocean to rescue and make accessible to the public and other researchers, species occurrence data using the Ocean Biogeographic Inf

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Martin-Cabrera, Patricia, Perez Ruben Perez, Jean-Olivier Irrison, et al. "Establishing Plankton Imagery Dataflows Towards International Biodiversity Data Aggregators." Biodiversity Information Science and Standards 6 (September 7, 2022): e94196. https://doi.org/10.3897/biss.6.94196.

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Over the last decade, plankton research has experienced extensive developments in automatic image acquisition for identifying and quantifying plankton species. This information is useful for the reporting of plankton occurrences and ecological data. Imagery instruments can vary in the way they sample (benchtop or <em>in situ</em> imagers) and the particle's size range they target (see Lombard et al. (2019) for an extensive comparison of instruments and specifications). However, due to the wide variety of instruments and their (automatic) output data and formats, it is challenging to integrate

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Researcher. "From Data Silos to Insight: IT Integration Strategies for Intelligent Tax Compliance and Fiscal Efficiency." International Journal of Finance (IJFIN) 36, no. 6 (2023): 533–78. https://doi.org/10.5281/zenodo.15553021.

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<em>Tax compliance and efficiency represents two sides of the same coin, considering both citizens’ loyal fulfillment of their tax obligations and states’ effective utilization of tax revenues. Development of intelligent solutions supporting tax legislation flourishes efforts for automatic citizens’ compliance with tax rules, preliminary articles’ retrieval in reporting solutions, and supportive information to facilitate filing and payment obligations. Investment in information technologies by tax authorities, companies, and citizens aims at tax compliance improvement a

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Bagov, Ilia, Christian Greiner, and Nikolay Garabedian. "Collaborative Metadata Definition using Controlled Vocabularies, and Ontologies." Research Ideas and Outcomes 8 (October 12, 2022): e94931. https://doi.org/10.3897/rio.8.e94931.

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Data's role in a variety of technical and research areas is undeniably growing. This can be seen, for example, in the increased investments in the development of data-intensive analytical methods such as artificial intelligence (Zhang 2022), as well as in the rising rate of data generation which is expected to continue into the near future (Rydning and Shirer 2021). Academic research is one of the areas, where data is the lifeblood of generating hypotheses, creating new knowledge, and reporting results. Unlike proprietary industry data, academic research data is often subjected to stricter req

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Cho, Kyung Serk, Yunhe Liu, Guangsheng Pei, et al. "Abstract 3962: Pan-cancer spatial characterization of tertiary lymphoid structures." Cancer Research 85, no. 8_Supplement_1 (2025): 3962. https://doi.org/10.1158/1538-7445.am2025-3962.

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Abstract Tertiary lymphoid structures (TLS) are frequently observed in various solid tumors, where they play a pivotal role in regulating anti-tumor immune responses. Despite their importance, our understanding of TLS and their interactions with cancer cells within complex tissue environments remains limited. Recent advances in spatial transcriptomics (ST) technology offer new possibilities for investigating the spatial and phenotypic heterogeneity of TLS. We developed TLSphenotyper, a computational framework for automatic TLS segmentation, labeling, extraction, and comprehensive profiling of

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Lemenkova, Polina, Plaen Raphaël De, Thomas Lecocq, and Olivier Debeir. "Computer Vision Algorithms of DigitSeis for Building a Vectorised Dataset of Historical Seismograms from the Archive of Royal Observatory of Belgium." Sensors 23, no. 1 (2022): 56. https://doi.org/10.5281/zenodo.7476242.

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Archived seismograms recorded in the 20th century present a valuable source of information for monitoring earthquake activity. However, old data, which are only available as scanned paper-based images should be digitised and converted from raster to vector format prior to reuse for geophysical modelling. Seismograms have special characteristics and specific features recorded by a seismometer and encrypted in the images: signal trace lines, minute time gaps, timing and wave amplitudes. This information should be recognised and interpreted automatically when processing archives of seismograms co

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Researcher. "Decision Support Systems for Government Auditing: The Role of AI in Ensuring Transparency and Compliance." International Journal of Finance (IJFIN) 36, no. 6 (2023): 493–532. https://doi.org/10.5281/zenodo.15489803.

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<em>In a world growing increasingly entangled in the web of data and its profound implications, Audit and compliance departments face unprecedented challenges. The sheer magnitude of data generated today necessitates access to new tools for the understanding and interpretation of such data, or simply for its effective storage. Traditionally, these departments relied upon the analysis of a small sample of transactions. However, the changing reality forces auditors to reconsider their approach. A high-impact Compliance Access Control (CAC) is to guarantee timely and extensive compliance verifica

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Salim, José Augusto, and Antonio Saraiva. "A Google Sheet Add-on for Biodiversity Data Standardization and Sharing." Biodiversity Information Science and Standards 4 (October 2, 2020): e59228. https://doi.org/10.3897/biss.4.59228.

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For those biologists and biodiversity data managers who are unfamiliar with information science data practices of data standardization, the use of complex software to assist in the creation of standardized datasets can be a barrier to sharing data.Since the ratification of the Darwin Core Standard (DwC) (Darwin Core Task Group 2009) by the Biodiversity Information Standards (TDWG) in 2009, many datasets have been published and shared through a variety of data portals. In the early stages of biodiversity data sharing, the protocol Distributed Generic Information Retrieval (DiGIR), progenitor of

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Kumar, Anupam, Arun Rathore, Shubhendra Pratap Singh, and Abdul Hamid Bhat. "Modeling and control of islanded DC microgrid fed by intermittent generating resources." Wind Engineering, February 17, 2023, 0309524X2311548. http://dx.doi.org/10.1177/0309524x231154841.

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In this paper an islanded microgrid fed through the wind and solar energy resources is presented. The power flow within the microgrid is controlled using a Neutral Point Clamped Dual Active Bridge (NPC-DAB) converter. In the proposed dc microgrid, the solar energy source is associated at the low voltage (LV) bus and the wind energy source is connected at the high voltage (HV) bus. A permanent magnet synchronous generator (PMSG) machine is used in wind energy conversion system. The real time solar radiation and wind speed data of Rupangarh, Rajasthan, India is used as an input for renewable ene

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Suero-Méndez, Coral. "Automatic implantable defibrillators: an update for emergency physicians." Revista Española de Urgencias y Emergencias, April 1, 2024. http://dx.doi.org/10.55633/s3me/reue007.2024.

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El desfibrilador automático implantable (DAI) es una herramienta terapéutica de primera línea para evitar la muerte súbita por arritmias ventriculares. La estimulación antitaquicardia de los desfibriladores, permite en un porcentaje elevado terminar las arritmias de forma indolora y con bajo consumo de energía, al evitar choques o descargas del dispositivo. El implante de cables necesario en el DAI convencional se ha relacionado con una tasa elevada de complicaciones, tanto en el proceso del implante como por daño vascular, neumotórax, perforaciones, etc., así como a largo plazo, por disfunció

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Bastian, Haarmann, and Sikorski Lukas. "Natural Language News Generation from Big Data." June 4, 2015. https://doi.org/10.5281/zenodo.1107399.

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In this paper, we introduce an NLG application for the automatic creation of ready-to-publish texts from big data. The resulting fully automatic generated news stories have a high resemblance to the style in which the human writer would draw up such a story. Topics include soccer games, stock exchange market reports, and weather forecasts. Each generated text is unique. Readyto-publish stories written by a computer application can help humans to quickly grasp the outcomes of big data analyses, save timeconsuming pre-formulations for journalists and cater to rather small audiences by offering s

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Goldmann, Lukas, and Rainer Komp. "The Anomaly Extractor—An Open‐Source GIS‐Tool for Object‐Based Image Analyses of Large‐Scale Geomagnetic Data." Archaeological Prospection, March 26, 2025. https://doi.org/10.1002/arp.1987.

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ABSTRACTIn this article, we present a newly developed, GIS‐integrated, open‐source tool for the automatic segmentation, vectorization and statistical analysis of large‐scale geomagnetic data (https://github.com/dainst/AnomalyExtractor). We argue that the vectorization of survey results has many benefits in terms of analyses and interpretation. Following the rapid advancements in data generation and processing, the huge datasets created by modern geophysical surveys make attempts of manual vectorization impractical. Based on approaches used in the object‐based image analyses of huge satellite‐

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Jeroen, S. de Bruin, Schindler Karin, and Schuh Christian. "On the Combination of Patient-Generated Data with Data from a Secure Clinical Network Environment – A Practical Example." February 2, 2015. https://doi.org/10.5281/zenodo.1099616.

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With increasingly more mobile health applications appearing due to the popularity of smartphones, the possibility arises that these data can be used to improve the medical diagnostic process, as well as the overall quality of healthcare, while at the same time lowering costs. However, as of yet there have been no reports of a successful combination of patient-generated data from smartphones with data from clinical routine. In this paper we describe how these two types of data can be combined in a secure way without modification to hospital information systems, and how they can together be used

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Xiao, Zhongying, Arthur Kordon, and Subrata Sen. "Fault Detection and Diagnosis in Tennessee Eastman Process with Deep Autoencoder." Annual Conference of the PHM Society 15, no. 1 (2023). http://dx.doi.org/10.36001/phmconf.2023.v15i1.3578.

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Data-driven modeling has been considered as an attractive approach for fault detection in chemical processes. Of special interest to industry are methods that represent nonlinear phenomena and detect complex faults. In this paper, a semi-supervised deep learning method - deep autoencoder for fault detection in Tennessee Eastman Process (TEP) is proposed. The TEP process is a simulated benchmark for evaluating process control and monitoring methods. The performance of the proposed method is evaluated and compared to Principal Component Analysis (PCA). The experimental results demonstrate that t

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Yasmeen, A. S. Essawy, and Nassar Khaled. "Elemental Graph Data Model: A Semantic and Topological Representation of Building Elements." August 5, 2017. https://doi.org/10.5281/zenodo.1132216.

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With the rapid increase of complexity in the building industry, professionals in the A/E/C industry were forced to adopt Building Information Modeling (BIM) in order to enhance the communication between the different project stakeholders throughout the project life cycle and create a semantic object-oriented building model that can support geometric-topological analysis of building elements during design and construction. This paper presents a model that extracts topological relationships and geometrical properties of building elements from an existing fully designed BIM, and maps this informa

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