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Relevant bibliographies by topics / Error detection algorithms

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Academic literature on the topic 'Error detection algorithms'

Author: Grafiati

Published: 28 June 2021

Last updated: 29 July 2025

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Journal articles on the topic "Error detection algorithms"

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Edam, Salaheldin, Doaa Abubakr, Roaa Rahma, and Roaa Yagoub. "Comparative evaluation of localization range-free algorithms in wireless sensor networks." International Journal of Engineering, Science and Technology 16, no. 2 (2024): 1–10. http://dx.doi.org/10.4314/ijest.v16i2.1.

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Localization in wireless sensor networks is essential not only for determining the location but also for routing, managing density, tracking, and a wide range of other communication network functions. There are two main categories of localization algorithms in wireless sensor networks: range-based algorithms and range-free techniques. Localization based on range-free algorithms has benefits in terms of requiring less hardware and energy, making it cost-efficient. This paper examines the impact of beacon nodes on range-free localization algorithms. The findings indicate that ADLA has intermedia

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Liu, Qing Min, Xue Li, and L. Zhang. "Realization Method for Detection on Arc Based on CCD." Applied Mechanics and Materials 687-691 (November 2014): 856–60. http://dx.doi.org/10.4028/www.scientific.net/amm.687-691.856.

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s: Arc detection is difficult for processing, assembly and testing of industrial production because of limitations of detection methods, algorithms and instruments. The least-squares algorithm is used to fit data in circle detection. The application of conventional least-squares algorithm is limited, as roundness error is bigger, precision is lower. For detecting arc with data points of non-uniform distribution, improved least-squares algorithm, developed an analysis algorithm for assessing the minimum zone roundness error. Center and radius can be solved, without iteration and truncation erro

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Abdulsattar, Ruaa Alaadeen, and Nada Hussein M. Ali. "Lookup Table Algorithm for Error Correction in Color Images." JOIV : International Journal on Informatics Visualization 2, no. 2 (2018): 63. http://dx.doi.org/10.30630/joiv.2.2.113.

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Error correction and error detection techniques are often used in wireless transmission systems. A color image of type BMP is considered as an application of developed lookup table algorithms to detect and correct errors in these images. Decimal Matrix Code (DMC) and Hamming code (HC) techniques were integrated to compose Hybrid Matrix Code (HMC) to maximize the error detection and correction. The results obtained from HMC still have some error not corrected because the redundant bits added by Hamming codes to the data are considered inadequate, and it is suitable when the error rate is low fo

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Achmad, Fauzi, Nurhayati, and Rahim Robbi. "Bit Error Detection and Correction with Hamming Code Algorithm." International Journal of Scientific Research in Science, Engineering and Technology (IJSRSET) 3, no. 1 (2017): 76–81. https://doi.org/10.5281/zenodo.243775.

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Data communication performed at any time does not always go well, sometimes also happens that his name error when transmitting data. The detection and correction of errors in data transmission requires special algorithms in this study using the algorithm Hamming Code, the use of this algorithm due to ease in the detection and correction of bit damaged and is expected by this research easier for other researchers to develop algorithms Hamming Code for a variety of purposes in data transmission.

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Liu, Xiyuan, Lingxiao Wang, Jiahao Li, Khan Raqib Mahmud, and Shuo Pang. "Enhancing Wildfire Detection via Trend Estimation Under Auto-Regression Errors." Mathematics 13, no. 7 (2025): 1046. https://doi.org/10.3390/math13071046.

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In recent years, global weather changes have underscored the importance of wildfire detection, particularly through Uncrewed Aircraft System (UAS)-based smoke detection using Deep Learning (DL) approaches. Among these, object detection algorithms like You Only Look Once version 7 (YOLOv7) have gained significant popularity due to their efficiency in identifying objects within images. However, these algorithms face limitations when applied to video feeds, as they treat each frame as an independent image, failing to track objects across consecutive frames. To address this issue, we propose a par

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Morisette, Jeffrey T., Louis Giglio, Ivan Csiszar, et al. "Validation of MODIS Active Fire Detection Products Derived from Two Algorithms." Earth Interactions 9, no. 9 (2005): 1–25. http://dx.doi.org/10.1175/ei141.1.

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Abstract Fire influences global change and tropical ecosystems through its connection to land-cover dynamics, atmospheric composition, and the global carbon cycle. As such, the climate change community, the Brazilian government, and the Large-Scale Biosphere–Atmosphere (LBA) Experiment in Amazonia are interested in the use of satellites to monitor and quantify fire occurrence throughout Brazil. Because multiple satellites and algorithms are being utilized, it is important to quantify the accuracy of the derived products. In this paper the characteristics of two fire detection algorithms are ev

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Zhu, Yongkuan, Gurjot Singh Gaba, Fahad M. Almansour, Roobaea Alroobaea, and Mehedi Masud. "Application of data mining technology in detecting network intrusion and security maintenance." Journal of Intelligent Systems 30, no. 1 (2021): 664–76. http://dx.doi.org/10.1515/jisys-2020-0146.

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Abstract In order to correct the deficiencies of intrusion detection technology, the entire computer and network security system are needed to be more perfect. This work proposes an improved k-means algorithm and an improved Apriori algorithm applied in data mining technology to detect network intrusion and security maintenance. The classical KDDCUP99 dataset has been utilized in this work for performing the experimentation with the improved algorithms. The algorithm’s detection rate and false alarm rate are compared with the experimental data before the improvement. The outcomes of proposed a

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Kari, Lila, Stavros Konstantinidis, Steffen Kopecki, and Meng Yang. "Efficient Algorithms for Computing the Inner Edit Distance of a Regular Language via Transducers." Algorithms 11, no. 11 (2018): 165. http://dx.doi.org/10.3390/a11110165.

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The concept of edit distance and its variants has applications in many areas such as computational linguistics, bioinformatics, and synchronization error detection in data communications. Here, we revisit the problem of computing the inner edit distance of a regular language given via a Nondeterministic Finite Automaton (NFA). This problem relates to the inherent maximal error-detecting capability of the language in question. We present two efficient algorithms for solving this problem, both of which execute in time O ( r 2 n 2 d ) , where r is the cardinality of the alphabet involved, n is th

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Toghuj, Wael, and Ghazi I. Alkhatib. "Improved Algorithm for Error Correction." International Journal of Information Technology and Web Engineering 6, no. 1 (2011): 1–12. http://dx.doi.org/10.4018/jitwe.2011010101.

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Digital communication systems are an important part of modern society, and they rely on computers and networks to achieve critical tasks. Critical tasks require systems with a high level of reliability that can provide continuous correct operations. This paper presents a new algorithm for data encoding and decoding using a two-dimensional code that can be implemented in digital communication systems, electronic memories (DRAMs and SRAMs), and web engineering. The developed algorithms correct three errors in codeword and detect four, reaching an acceptable performance level. The program that is

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Kabaoğlu, Hatice, Fecir Duran, and Emine Uçar. "The Development of Digital Twin Baby Incubators for Fault Detection and Performance Analysis." Sakarya University Journal of Computer and Information Sciences 8, no. 2 (2025): 301–11. https://doi.org/10.35377/saucis...1612668.

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This study focuses on developing a digital twin for baby incubators in neonatal intensive care units to enhance monitoring and care for premature infants. The digital twin employs a hybrid model integrating Long Short-Term Memory (LSTM) and Random Forest (RF) algorithms to predict potential errors and alarms. The LSTM algorithm was trained using sensor data provided by a health technology company to predict future measurements. Subsequently, the RF algorithm classifies these predictions into specific error conditions. The hybrid model demonstrates success with mean squared error and mean absol

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Dissertations / Theses on the topic "Error detection algorithms"

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Pazaitis, Dimitrios I. "Performance improvement in adaptive signal processing algorithms." Thesis, Imperial College London, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.368771.

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O'Connell, Jeffrey R. "Algorithms for linkage analysis, error detection and haplotyping in pedigrees." Thesis, University of Oxford, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.325622.

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Santos, Fernando Fernandes dos. "Reliability evaluation and error mitigation in pedestrian detection algorithms for embedded GPUs." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2017. http://hdl.handle.net/10183/159210.

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A confiabilidade de algoritmos para detecção de pedestres é um problema fundamental para carros auto dirigíveis ou com auxílio de direção. Métodos que utilizam algoritmos de detecção de objetos como Histograma de Gradientes Orientados (HOG - Histogram of Oriented Gradients) ou Redes Neurais de Convolução (CNN – Convolutional Neural Network) são muito populares em aplicações automotivas. Unidades de Processamento Gráfico (GPU – Graphics Processing Unit) são exploradas para executar detecção de objetos de uma maneira eficiente. Infelizmente, as arquiteturas das atuais GPUs tem se mostrado partic

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Lee, Ho. "Algorithms to Improve the Quality of Freeway Traffic Detector Data." The Ohio State University, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=osu1345522267.

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Hua, Nan. "Space-efficient data sketching algorithms for network applications." Diss., Georgia Institute of Technology, 2012. http://hdl.handle.net/1853/44899.

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Sketching techniques are widely adopted in network applications. Sketching algorithms “encode” data into succinct data structures that can later be accessed and “decoded” for various purposes, such as network measurement, accounting, anomaly detection and etc. Bloom filters and counter braids are two well-known representatives in this category. Those sketching algorithms usually need to strike a tradeoff between performance (how much information can be revealed and how fast) and cost (storage, transmission and computation). This dissertation is dedicated to the research and development of sev

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Valent, Adam. "Jednosměrná sériová komunikace laserem na větší vzdálenost." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2021. http://www.nusl.cz/ntk/nusl-442524.

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The subject of this thesis is the construction of one-way communication device. This device consists of the transmitter and the receiver, both of which are connected to its respective computer via USB interface. This device allows sending UTF-8 characters or files from one computer to another. Both computers are running a graphical user interface program. The core of a transmitter is a digital signal modulating laser diode. The receiver is made of photovoltaic panel with a resonance circuit and an amplifier. Communication between the electronics and the computer is driven by microcontrollers.

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Feng, Jingbin. "Quasi-Static Deflection Compensation Control of Flexible Manipulator." PDXScholar, 1993. https://pdxscholar.library.pdx.edu/open_access_etds/4759.

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The growing need in industrial applications of high-performance robots has led to designs of lightweight robot arms. However the light-weight robot arm introduces accuracy and vibration problems. The classical robot design and control method based on the rigid body assumption is no longer satisfactory for the light-weight manipulators. The effects of flexibility of light-weight manipulators have been an active research area in recent years. A new approach to correct the quasi-static position and orientation error of the end-effector of a manipulator with flexible links is studied in this proje

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Xie, Yichen. "Static detection of software errors precise and scalable algorithms for automatic detection of software errors." Saarbrücken VDM, Müller, 2006. http://deposit.d-nb.de/cgi-bin/dokserv?id=2991792&prov=M&dok_var=1&dok_ext=htm.

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Kapfunde, Goodwell. "Near-capacity sphere decoder based detection schemes for MIMO wireless communication systems." Thesis, University of Hertfordshire, 2013. http://hdl.handle.net/2299/11350.

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The search for the closest lattice point arises in many communication problems, and is known to be NP-hard. The Maximum Likelihood (ML) Detector is the optimal detector which yields an optimal solution to this problem, but at the expense of high computational complexity. Existing near-optimal methods used to solve the problem are based on the Sphere Decoder (SD), which searches for lattice points confined in a hyper-sphere around the received point. The SD has emerged as a powerful means of finding the solution to the ML detection problem for MIMO systems. However the bottleneck lies in the de

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Sevim, Alaettin. "Including state excitation in the fixed-interval smoothing algorithm and implementation of the maneuver detection method using error residuals." Thesis, Monterey, California : Naval Postgraduate School, 1990. http://handle.dtic.mil/100.2/ADA246336.

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Thesis (M.S. in Engineering Science)--Naval Postgraduate School, December 1990.<br>Thesis Advisor: Titus, Harold A. Second Reader: Burl, Jeff. "December 1990." Description based on title screen as viewed on April 2, 2010. DTIC Identifier(s): Noise processing, maneuver detection. Author(s) subject terms: Kalman filter, smoothing, noise process, maneuver detection. Includes bibliographical references (p. 98-99). Also available in print.

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Books on the topic "Error detection algorithms"

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John F. Kennedy Space Center., ed. Development of algorithms and error analyses for the short baseline lightning detection and ranging system. National Aeronautics and Space Administration, John F. Kennedy Space Center, 1998.

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John F. Kennedy Space Center., ed. Development of algorithms and error analyses for the short baseline lightning detection and ranging system. National Aeronautics and Space Administration, John F. Kennedy Space Center, 1998.

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United States. National Aeronautics and Space Administration., ed. Minimal time change detection algorithm for reconfigurable control system and application to aerospace. University of California, 1994.

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International Conference Arithmetic, Geometry, Cryptography and Coding Theory (14th 2013 Marseille, France). Algorithmic arithmetic, geometry, and coding theory: 14th International Conference, Arithmetic, Geometry, Cryptography, and Coding Theory, June 3-7 2013, CIRM, Marseille, France. Edited by Ballet Stéphane 1971 editor, Perret, M. (Marc), 1963- editor, and Zaytsev, Alexey (Alexey I.), 1976- editor. American Mathematical Society, 2015.

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Hilgurt, S. Ya, and O. A. Chemerys. Reconfigurable signature-based information security tools of computer systems. PH “Akademperiodyka”, 2022. http://dx.doi.org/10.15407/akademperiodyka.458.297.

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The book is devoted to the research and development of methods for combining computational structures for reconfigurable signature-based information protection tools for computer systems and networks in order to increase their efficiency. Network security tools based, among others, on such AI-based approaches as deep neural networking, despite the great progress shown in recent years, still suffer from nonzero recognition error probability. Even a low probability of such an error in a critical infrastructure can be disastrous. Therefore, signature-based recognition methods with their theoretic

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Book chapters on the topic "Error detection algorithms"

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Chen, Dewang, and Ruijun Cheng. "Error Data Detection." In Intelligent Processing Algorithms and Applications for GPS Positioning Data of Qinghai-Tibet Railway. Springer Berlin Heidelberg, 2019. http://dx.doi.org/10.1007/978-3-662-58970-0_5.

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Lafond, Manuel, Krister M. Swenson, and Nadia El-Mabrouk. "Error Detection and Correction of Gene Trees." In Models and Algorithms for Genome Evolution. Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-5298-9_12.

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Weimer, Westley, and George C. Necula. "Mining Temporal Specifications for Error Detection." In Tools and Algorithms for the Construction and Analysis of Systems. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/978-3-540-31980-1_30.

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Methods, Algebraic, and F. S. Vainstein. "Error detection and correction in numerical computations." In Applied Algebra, Algebraic Algorithms and Error-Correcting Codes. Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/3-540-54522-0_133.

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Shandilya, Suyash. "Minimising Acquisition Maximising Inference—A Demonstration on Print Error Detection." In Algorithms for Intelligent Systems. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-4936-6_47.

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Fang, Wentao, Jingjing Gu, Zujia Yan, and Qiuhong Wang. "SDC Error Detection by Exploring the Importance of Instruction Features." In Wireless Algorithms, Systems, and Applications. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-85928-2_28.

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Holmquist, Lawrence P., and L. L. Kinney. "Concurrent error detection in sequential circuits using convolutional codes." In Applied Algebra, Algebraic Algorithms and Error-Correcting Codes. Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/3-540-54522-0_107.

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Chicano, Francisco, Marco Ferreira, and Enrique Alba. "Comparing Metaheuristic Algorithms for Error Detection in Java Programs." In Search Based Software Engineering. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23716-4_11.

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Sun, Tao, Jing Zhang, and Wenjie Zhong. "Concurrent Software Fine-Coarse-Grained Automatic Modeling Method for Algorithm Error Detection." In Algorithms and Architectures for Parallel Processing. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-38961-1_52.

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Pattankar, Veena V., and P. Priyanga. "Enhancing Biomedical Event Extraction with Error Data Detection: A Novel Approach for Improved Classification Performance." In Algorithms for Intelligent Systems. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-97-8868-2_30.

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Conference papers on the topic "Error detection algorithms"

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Li, Biao, Zhenzhen Lv, Jilin Chang, Jianxun Guo, Lei Zhang, and Chun Ding. "Machine Vision-based English Translation Grammar Error Detection Using Temporal Convolutional Network-Recurrent Neural Network." In 2024 International Conference on Intelligent Algorithms for Computational Intelligence Systems (IACIS). IEEE, 2024. http://dx.doi.org/10.1109/iacis61494.2024.10721867.

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Eid, Maged, and Giancarlo Dalle Ave. "Automated Interpretation of Chemical Engineering Diagrams Using Computer Vision." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.129214.

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This paper presents state-of-the-art object detection and object identification algorithms for digitizing and interpreting chemical engineering diagrams, including, Block Flow Diagrams (BFDs), Process Flow Diagrams (PFDs), and Piping and Instrumentation Diagrams (P&IDs), using computer vision techniques. These diagrams are essential for visualizing plant processes and equipment but are often stored as image-based PDFs, making manual digitization/interpretation labor-intensive and error-prone. The proposed algorithm automates tasks such as detecting unit operations and identifying them usin

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

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Abstract Machine learning as a tool for automation has grown exponentially in the past two decades. Growth has come from innovations in hardware, such as powerful graphics processing units (GPUs) and cloud computing. Along with hardware advances, there has been an explosion in software packages, algorithms, and tools for performing machine learning. This innovation has resulted in a landscape full of vendor offerings with bold claims about accuracy and precision while not offering much subject matter expertise. The corrosion industry is no exception and faces unique risks in evaluating machine

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Pfeifer, Petr, and H. T. Vierhaus. "Iterative error correction with double/triple error detection." In 2016 Signal Processing: Algorithms, Architectures, Arrangements and Applications (SPA). IEEE, 2016. http://dx.doi.org/10.1109/spa.2016.7763579.

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Halunga, Simona, Octavian Fratu, and Dragos Vizireanu. "Error Probability Evaluation for Multiuser Detection Algorithms." In 2007 8th International Conference on Telecommunications in Modern Satellite, Cable and Broadcasting Services. IEEE, 2007. http://dx.doi.org/10.1109/telsks.2007.4375964.

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Nikodem, Maciej. "Error Prevention, Detection and Diffusion Algorithms for Cryptographic Hardware." In 2nd International Conference on Dependability of Computer Systems (DepCoS-RELCOMEX '07). IEEE, 2007. http://dx.doi.org/10.1109/depcos-relcomex.2007.20.

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Liu, Kai, Yutao Yang, Minhang Li, et al. "Application of Robotic Process Automation Combined with Chinese Grammatical Error Detection." In ICACS 2022: 2022 The 6th International Conference on Algorithms, Computing and Systems. ACM, 2022. http://dx.doi.org/10.1145/3564982.3565001.

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Neifeld, Mark A. "2D Coding and Signal Processing for Volume Memory Interfaces." In Optics in Computing. Optica Publishing Group, 1997. http://dx.doi.org/10.1364/oc.1997.owd.1.

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Volume optical memory represents a unique type of storage channel. It can be characterized as a 2D parallel, space-variant system with potentially time-varying characteristics. Like any other storage channel however, imperfections and noise degrade the SNR of retrieved data and this degradation may result in data errors. As with traditional memory and communications systems, detection and error handling techniques can be used to recover lost SNR and correct data errors.[1,2] The success of detection theoretic techniques is based on the use of prior knowledge concerning channel characteristics

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Capponi, Stefano, and Chiazor Nwachukwu. "Data Analytics Software for Automatic Detection of Anomalies in Well Testing." In SPE Offshore Europe Conference & Exhibition. SPE, 2021. http://dx.doi.org/10.2118/205456-ms.

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Abstract This paper will present a software that was developed to diagnose well test data. The software monitors the data, and through a series of algorithms alarms the user in case of discrepancies. This allows the user to investigate possible source of errors and correct them in real time. Several datasets from previous operations were analyzed and the basic physics governing how a certain datum depends on others were laid out. All the well test data traditionally acquired were put on a matrix, showing the dependencies between each datum and other physical properties that are available - eit

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Hanayama, Ryohei, and Kenichi Hibino. "Error estimation of phase detection algorithms and comparison of window functions." In SPIE Optical Engineering + Applications, edited by Joanna Schmit, Katherine Creath, Catherine E. Towers, and Jan Burke. SPIE, 2012. http://dx.doi.org/10.1117/12.929785.

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Reports on the topic "Error detection algorithms"

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Pasupuleti, Murali Krishna. Quantum Intelligence: Machine Learning Algorithms for Secure Quantum Networks. National Education Services, 2025. https://doi.org/10.62311/nesx/rr925.

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Abstract: As quantum computing and quantum communication technologies advance, securing quantum networks against emerging cyber threats has become a critical challenge. Traditional cryptographic methods are vulnerable to quantum attacks, necessitating the development of AI-driven security solutions. This research explores the integration of machine learning (ML) algorithms with quantum cryptographic frameworks to enhance Quantum Key Distribution (QKD), post-quantum cryptography (PQC), and real-time threat detection. AI-powered quantum security mechanisms, including neural network-based quantum

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Varshney, Pramod K., and Wael Hashlamoun. ALGORITHMS FOR SENSOR FUSION: Applications of Distance Measures and Probability of Error Bounds to Distributed. Detection Systems. Volume 2. Defense Technical Information Center, 1991. http://dx.doi.org/10.21236/ada254634.

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Christopher, Lauren, Stanley Chien, Yaobin Chen, Mei Qiu, William Reindl, and Liya Koshy. Anomaly Detection in Traffic Patterns Using the INDOT Camera System. Purdue University, 2025. https://doi.org/10.5703/1288284317778.

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The Transportation and Autonomous Systems Institute (TASI) of Purdue University Indianapolis (PUI) and the INDOT Traffic Management Center worked together to develop a system that monitors traffic conditions using INDOT CCTV video feeds. Computer vision-based traffic anomaly detection has been studied for the past 20 years, and a thorough state-of-the-art analysis was produced in a recent survey paper. Although AI has contributed to improving anomaly detection, several major challenges remain, such as tracking errors, illumination, weather, occlusion handling, camera pose, and perspective. In

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Alchanatis, Victor, Stephen W. Searcy, Moshe Meron, W. Lee, G. Y. Li, and A. Ben Porath. Prediction of Nitrogen Stress Using Reflectance Techniques. United States Department of Agriculture, 2001. http://dx.doi.org/10.32747/2001.7580664.bard.

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Commercial agriculture has come under increasing pressure to reduce nitrogen fertilizer inputs in order to minimize potential nonpoint source pollution of ground and surface waters. This has resulted in increased interest in site specific fertilizer management. One way to solve pollution problems would be to determine crop nutrient needs in real time, using remote detection, and regulating fertilizer dispensed by an applicator. By detecting actual plant needs, only the additional nitrogen necessary to optimize production would be supplied. This research aimed to develop techniques for real tim

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