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Journal articles on the topic 'Fingerprinting techniques'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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1

Vaneechoutte, Mario. "DNA fingerprinting techniques for microorganisms." Molecular Biotechnology 6, no. 2 (1996): 115–42. http://dx.doi.org/10.1007/bf02740768.

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2

Isabella Rossi. "Chemical Fingerprinting: Advances in Analytical Techniques for Environmental Monitoring." Revista Latinoamericana de Química 52, no. 1 (2025): 10–12. https://doi.org/10.52783/rlq.17.

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Chemical fingerprinting has emerged as a powerful analytical tool for environmental monitoring, enabling the identification and quantification of complex mixtures of chemicals in various environmental matrices. This paper discusses recent advancements in analytical techniques used for chemical fingerprinting, including gas chromatography-mass spectrometry (GC-MS), liquid chromatography-mass spectrometry (LC-MS), and nuclear magnetic resonance (NMR) spectroscopy. We explore the applications of these techniques in environmental monitoring, particularly in tracking pollution sources, assessing ec

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Casale, Monica, Lucia Bagnasco, Chiara Casolino, Silvia Lanteri, and Riccardo Leardi. "Spectroscopic fingerprinting techniques for food characterisation." ACTA IMEKO 5, no. 1 (2016): 32. http://dx.doi.org/10.21014/acta_imeko.v5i1.285.

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<p>The analysis of samples by using spectroscopic fingerprinting techniques is more and more common and widespread. Such approaches are very convenient, since they are usually fast, cheap and non-destructive. In many applications no sample pretreatment is required, the acquisition of the spectrum can be performed in about one minute and no solvents are required. As a consequence, the return on investment of the related technology is very high.<br />The "disadvantage" of these techniques is that, being the signal non-selective, simple mathematical approaches (e.g., Lambert-Beer law)

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Thachil, Anil J., Binu T. Velayudhan, Vanessa C. Lopes-Berkas, David A. Halvorson, and Kakambi V. Nagaraja. "Application of Polymerase Chain Reaction Fingerprinting to Differentiate Ornithobacterium Rhinotracheale Isolates." Journal of Veterinary Diagnostic Investigation 19, no. 4 (2007): 417–20. http://dx.doi.org/10.1177/104063870701900415.

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Ornithobacterium rhinotracheale (ORT) is an infectious respiratory pathogen of chickens, turkeys, and wild birds. There are 18 serotypes of ORT reported worldwide. In this study, enterobacterial repetitive intergenic consensus (ERIC) polymerase chain reaction and random amplified polymorphic DNA assay with Universal M13 primer-based fingerprinting techniques were investigated for their ability to differentiate ORT isolates. The authors examined 50 field isolates and 8 reference strains of ORT for their genetic differences. The fingerprint patterns were compared with serotyping results of ORT b

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Hsieh, Shang-Lin, Chun-Che Chen, and Wen-Shan Shen. "Combining Digital Watermarking and Fingerprinting Techniques to Identify Copyrights for Color Images." Scientific World Journal 2014 (2014): 1–14. http://dx.doi.org/10.1155/2014/454867.

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This paper presents a copyright identification scheme for color images that takes advantage of the complementary nature of watermarking and fingerprinting. It utilizes an authentication logo and the extracted features of the host image to generate a fingerprint, which is then stored in a database and also embedded in the host image to produce a watermarked image. When a dispute over the copyright of a suspect image occurs, the image is first processed by watermarking. If the watermark can be retrieved from the suspect image, the copyright can then be confirmed; otherwise, the watermark then se

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Jickells, Sue M. "Fingerprinting: Into the Future." Measurement and Control 41, no. 8 (2008): 243–47. http://dx.doi.org/10.1177/002029400804100802.

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Although fingerprints have been used in forensic science for over 100 years, development of new visualisation techniques to obtain images of latent fingermarks for identification purposes is continuing. The use of nanoparticles, including functionalised nanoparticles is being explored as is the use of spectroscopic techniques such as Fourier Transform Infrared (FTIR) and Raman spectroscopy. These techniques, and mass spectrometric techniques such as DESI-MS and DART-TOF-MS, can be used to detect traces of drugs and explosives on latent fingermarks; offering the possibility of providing ‘intell

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Moyo, Stanley, Rob McCrindle, Ntebogeng Mokgalaka, Jan Myburgh, and Munyaradzi Mujuru. "Source apportionment of polycyclic aromatic hydrocarbons in sediments from polluted rivers." Pure and Applied Chemistry 85, no. 12 (2013): 2175–96. http://dx.doi.org/10.1351/pac-con-12-10-08.

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Over the past few decades, in response to growing concerns about the impact of polycyclic aromatic hydrocarbons (PAHs) on human health, a variety of environmental forensics and geochemical techniques have emerged for studying organic pollutants. These techniques include chemical fingerprinting, receptor modeling, and compound-specific stable isotope analysis (CSIA). Chemical fingerprinting methodology involves the use of diagnostic ratios. Receptor modeling techniques include the chemical mass balance (CMB) model and multivariate statistics. Multivariate techniques include factor analysis with

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Bahrami, Pouneh Nikkhah, Umar Iqbal, and Zubair Shafiq. "FP-Radar: Longitudinal Measurement and Early Detection of Browser Fingerprinting." Proceedings on Privacy Enhancing Technologies 2022, no. 2 (2022): 557–77. http://dx.doi.org/10.2478/popets-2022-0056.

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Abstract Browser fingerprinting is a stateless tracking technique that aims to combine information exposed by multiple different web APIs to create a unique identifier for tracking users across the web. Over the last decade, trackers have abused several existing and newly proposed web APIs to further enhance the browser fingerprint. Existing approaches are limited to detecting a specific fingerprinting technique(s) at a particular point in time. Thus, they are unable to systematically detect novel fingerprinting techniques that abuse different web APIs. In this paper, we propose FP-Radar, a ma

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Das, Anupam, Nikita Borisov, and Edward Chou. "Every Move You Make: Exploring Practical Issues in Smartphone Motion Sensor Fingerprinting and Countermeasures." Proceedings on Privacy Enhancing Technologies 2018, no. 1 (2018): 88–108. http://dx.doi.org/10.1515/popets-2018-0005.

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Abstract The ability to track users’ activities across different websites and visits is a key tool in advertising and surveillance. The HTML5 DeviceMotion interface creates a new opportunity for such tracking via fingerprinting of smartphone motion sensors. We study the feasibility of carrying out such fingerprinting under real-world constraints and on a large scale. In particular, we collect measurements from several hundred users under realistic scenarios and show that the state-of-the-art techniques provide very low accuracy in these settings. We then improve fingerprinting accuracy by chan

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Chen, Ping, Yu Bin Xu, Liang Chen, and Zhi An Deng. "Survey of WLAN Fingerprinting Positioning System." Applied Mechanics and Materials 380-384 (August 2013): 2499–505. http://dx.doi.org/10.4028/www.scientific.net/amm.380-384.2499.

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The increasing demand for indoor location based services has motivated the development of various indoor positioning methods. Among them, fingerprinting based positioning system in wireless local area network (WLAN) has been paid more attentions due to its cost effectiveness and relatively high accuracy. This paper investigates various optimization techniques for WLAN fingerprinting positioning comprehensively. The fingerprinting positioning comprises five major steps: Radio Map construction, location clustering, feature extraction, location estimation and tracking. The optimization techniques

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Zhou, Feng, Hua Qu, Hailong Liu, Hong Liu, and Bo Li. "Fingerprinting IIoT Devices Through Machine Learning Techniques." Journal of Signal Processing Systems 93, no. 7 (2021): 779–94. http://dx.doi.org/10.1007/s11265-021-01656-0.

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Prins, J. P., Z. Erkin, and R. L. Lagendijk. "Anonymous Fingerprinting with Robust QIM Watermarking Techniques." EURASIP Journal on Information Security 2007 (2007): 1–13. http://dx.doi.org/10.1155/2007/31340.

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Prins, JP, Z. Erkin, and RL Lagendijk. "Anonymous Fingerprinting with Robust QIM Watermarking Techniques." EURASIP Journal on Information Security 2007, no. 1 (2007): 031340. http://dx.doi.org/10.1186/1687-417x-2007-031340.

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14

Bowen, K. L., and S. T. Wickett. "The Effects on Fingerprinting Techniques on Bloodgrouping." Canadian Society of Forensic Science Journal 21, no. 1-2 (1988): 29–40. http://dx.doi.org/10.1080/00085030.1988.10756959.

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15

Caldwell, A. E., H. J. Choi, A. B. Kahng, et al. "Effective Iterative Techniques for Fingerprinting Design IP." IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems 23, no. 2 (2004): 208–15. http://dx.doi.org/10.1109/tcad.2003.822126.

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Niu, Linhai, Nitin Mantri, Chun Li, Charlie Xue, and Edwin Pang. "Array-based techniques for fingerprinting medicinal herbs." Chinese Medicine 6, no. 1 (2011): 18. http://dx.doi.org/10.1186/1749-8546-6-18.

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17

Soltanieh, Naeimeh, Yaser Norouzi, Yang Yang, and Nemai Chandra Karmakar. "A Review of Radio Frequency Fingerprinting Techniques." IEEE Journal of Radio Frequency Identification 4, no. 3 (2020): 222–33. http://dx.doi.org/10.1109/jrfid.2020.2968369.

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18

Sulston, John, Frank Mallett, Rodger Staden, Richard Durbin, Terry Horsnell, and Alan Coulson. "Software for genome mapping by fingerprinting techniques." Bioinformatics 4, no. 1 (1988): 125–32. http://dx.doi.org/10.1093/bioinformatics/4.1.125.

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19

Kahana, T., A. Grande, D. M. Tancredi, J. Penalver, and J. Hiss. "Fingerprinting the Deceased: Traditional and New Techniques." Journal of Forensic Sciences 46, no. 4 (2001): 15067J. http://dx.doi.org/10.1520/jfs15067j.

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20

Herrera, Rene J., and Martin L. Tracey. "DNA fingerprinting: Basic techniques, problems, and solutions." Journal of Criminal Justice 20, no. 3 (1992): 237–48. http://dx.doi.org/10.1016/0047-2352(92)90048-e.

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21

San Millán, Rosario, Javier Garaizar, and Joseba Bikandi. "In Silico Simulation of Fingerprinting Techniques Based on Double Endonuclease Digestion of Genomic DNA." In Silico Biology: Journal of Biological Systems Modeling and Multi-Scale Simulation 5, no. 3 (2005): 341–46. https://doi.org/10.3233/isb-00191.

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We have developed an online generic tool for simulation of fingerprinting techniques based on the double endonuclease digestion of DNA. This tool allows modelling and modifications of already existing techniques, as well as new theoretical approaches not yet tried in the lab. It allows the use of any combination of recognition patterns and discrimination of end types yielded by restriction with non palindromic recognition sizes. Re-creation of experimental conditions in silico saves time and reduces laboratory costs. This tool allows simulation of Amplified Fragment Length Polymorphism (AFLP-P

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Rizk, Hamada, Ahmed Elmogy, and Hirozumi Yamaguchi. "A Robust and Accurate Indoor Localization Using Learning-Based Fusion of Wi-Fi RTT and RSSI." Sensors 22, no. 7 (2022): 2700. http://dx.doi.org/10.3390/s22072700.

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Great attention has been paid to indoor localization due to its wide range of associated applications and services. Fingerprinting and time-based localization techniques are among the most popular approaches in the field due to their promising performance. However, fingerprinting techniques usually suffer from signal fluctuations and interference, which yields unstable localization performance. On the other hand, the accuracy of time-based techniques is highly affected by multipath propagation errors and non-line-of-sight transmissions. To combat these challenges, this paper presents a hybrid

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23

Oh, Se Eun, Saikrishna Sunkam, and Nicholas Hopper. "p1-FP: Extraction, Classification, and Prediction of Website Fingerprints with Deep Learning." Proceedings on Privacy Enhancing Technologies 2019, no. 3 (2019): 191–209. http://dx.doi.org/10.2478/popets-2019-0043.

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Abstract Recent advances in Deep Neural Network (DNN) architectures have received a great deal of attention due to their ability to outperform state-of-the-art machine learning techniques across a wide range of application, as well as automating the feature engineering process. In this paper, we broadly study the applicability of deep learning to website fingerprinting. First, we show that unsupervised DNNs can generate lowdimensional informative features that improve the performance of state-of-the-art website fingerprinting attacks. Second, when used as classifiers, we show that they can exc

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24

Yu, Sunghyun, and Yoojae Won. "A survey of methods for encrypted network traffic fingerprinting." Mathematical Biosciences and Engineering 20, no. 2 (2022): 2183–202. http://dx.doi.org/10.3934/mbe.2023101.

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<abstract> <p>Privacy protection in computer communication is gaining attention because plaintext transmission without encryption can be eavesdropped on and intercepted. Accordingly, the use of encrypted communication protocols is on the rise, along with the number of cyberattacks exploiting them. Decryption is essential for preventing attacks, but it risks privacy infringement and incurs additional costs. Network fingerprinting techniques are among the best alternatives, but existing techniques are based on information from the TCP/IP stack. They are expected to be less effective

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Zong, Wei, Yang-Wai Chow, Willy Susilo, Joonsang Baek, Jongkil Kim, and Seyit Camtepe. "IPRemover: A Generative Model Inversion Attack against Deep Neural Network Fingerprinting and Watermarking." Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 7 (2024): 7837–45. http://dx.doi.org/10.1609/aaai.v38i7.28619.

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Training Deep Neural Networks (DNNs) can be expensive when data is difficult to obtain or labeling them requires significant domain expertise. Hence, it is crucial that the Intellectual Property (IP) of DNNs trained on valuable data be protected against IP infringement. DNN fingerprinting and watermarking are two lines of work in DNN IP protection. Recently proposed DNN fingerprinting techniques are able to detect IP infringement while preserving model performance by relying on the key assumption that the decision boundaries of independently trained models are intrinsically different from one

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26

Burtscher, Johanna, Franziska Küller, Matthias Dreier, Emmanuelle Arias-Roth, David Drissner, and Konrad J. Domig. "Characterization of Clostridium tyrobutyricum Strains Using Three Different Typing Techniques." Microorganisms 8, no. 7 (2020): 1057. http://dx.doi.org/10.3390/microorganisms8071057.

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Clostridium tyrobutyricum is well known as one of the main causative agents of severe cheese spoilage. The metabolism of this anaerobic bacterium during ripening leads to textural and sensory defects in cheese and consequential loss of product value. The potential to induce cheese spoilage, however, may vary among different strains of the same species. Therefore, a better understanding of the intra-species diversity of C. tyrobutyricum may be of practical relevance for the dairy industry. In the present study, we compared the ability of three typing techniques to differentiate 95 C. tyrobutyri

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Burnie, J. P., and Woei Lee. "A Comparison of DNA and immunoblot fingerprinting of the SII biotype of coagulase negative staphylococci." Epidemiology and Infection 101, no. 2 (1988): 203–12. http://dx.doi.org/10.1017/s095026880005411x.

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SUMMARYThirty-eight isolates of the SII biotype of coagulase negative staphylococci were examined by phage typing, antibiograms, DNA and immunoblot fingerprinting. Multiple isolates were available from 5 patients with clinically proven infections and from 12 further patients who were epidemiologically distinct. Only 3 of the isolates were phage typable and antibiograms produced only 9 types. All isolates were typable by both DNA and immunoblot fingerprinting and reproducibility was excellent provided the conditions were standardized. Discrimination was better with immunoblot fingerprinting (17

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Wang, Zhendi, and Mervin F. Fingas. "Identification of the Source(s) of Unknown Spilled Oils." International Oil Spill Conference Proceedings 1999, no. 1 (1999): 211–18. http://dx.doi.org/10.7901/2169-3358-1999-1-211.

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ABSTRACT The ability to unambiguously identify spilled oils and petroleum products in complex contaminated environmental samples and to link them to the known sources is extremely important in settling questions of environmental impacts and liability. This paper will briefly review advanced chemical fingerprinting and data interpreting techniques used to identify sources of spilled oils. The chemical fingerprinting techniques discussed include pattern recognition evaluation of target petroleum hydrocarbon distributions; determination of major oil components and hydrocarbon groups; determinatio

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DOROBANŢU (RADU), LAURA ELENA. "BIOMEDICAL SIGNAL PROCESSING IN COGNITIVE RESEARCH: BRAIN FINGERPRINTING AND POLYGRAPH TESTING." REVUE ROUMAINE DES SCIENCES TECHNIQUES — SÉRIE ÉLECTROTECHNIQUE ET ÉNERGÉTIQUE 70, no. 2 (2025): 263–68. https://doi.org/10.59277/rrst-ee.2025.2.10.

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This study examines the role of signal processing in Brain Fingerprinting (BF) and Polygraph Testing (PT), two techniques that rely on the acquisition and analysis of biomedical signals. The research examines the methods of biomedical signal processing, including filtering, feature extraction, and classification, to improve accuracy and reliability. Experimental results suggest that advanced electroencephalograph (EEG) signal processing techniques can enhance Brain Fingerprinting applications, while polygraph testing remains widely used due to its accessibility. The findings contribute to the

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He, S., and M. Wu. "Joint Coding and Embedding Techniques for Multimedia Fingerprinting." IEEE Transactions on Information Forensics and Security 1, no. 2 (2006): 231–47. http://dx.doi.org/10.1109/tifs.2006.873597.

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Wang, Zhendi, and Merv F. Fingas. "Development of oil hydrocarbon fingerprinting and identification techniques." Marine Pollution Bulletin 47, no. 9-12 (2003): 423–52. http://dx.doi.org/10.1016/s0025-326x(03)00215-7.

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Tao, Yi, Xianghui Gu, Weidong Li, Hao Wu, Baochang Cai, and Boli Zhang. "Techniques for biological fingerprinting of traditional Chinese medicine." TrAC Trends in Analytical Chemistry 97 (December 2017): 272–82. http://dx.doi.org/10.1016/j.trac.2017.09.008.

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Garboan, A., M. Mitrea, and F. Prêteux. "Cinematography sequences tracking by means of fingerprinting techniques." annals of telecommunications - annales des télécommunications 68, no. 3-4 (2012): 187–99. http://dx.doi.org/10.1007/s12243-012-0334-7.

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Cebi, Nur, Hatice Bekiroglu, and Azime Erarslan. "Nondestructive Metabolomic Fingerprinting: FTIR, NIR and Raman Spectroscopy in Food Screening." Molecules 28, no. 23 (2023): 7933. http://dx.doi.org/10.3390/molecules28237933.

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In recent years, there has been renewed interest in the maintenance of food quality and food safety on the basis of metabolomic fingerprinting using vibrational spectroscopy combined with multivariate chemometrics. Nontargeted spectroscopy techniques such as FTIR, NIR and Raman can provide fingerprint information for metabolomic constituents in agricultural products, natural products and foods in a high-throughput, cost-effective and rapid way. In the current review, we tried to explain the capabilities of FTIR, NIR and Raman spectroscopy techniques combined with multivariate analysis for meta

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Al-Fannah, Nasser Mohammed, and Chris Mitchell. "Too little too late: can we control browser fingerprinting?" Journal of Intellectual Capital 21, no. 2 (2020): 165–80. http://dx.doi.org/10.1108/jic-04-2019-0067.

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Purpose Browser fingerprinting is increasingly being used for online tracking of users, and, unlike the use of cookies, is almost impossible for users to control. This has a major negative impact on online privacy. Despite the availability of a range of fingerprinting countermeasures as well as some limited attempts by browser vendors to curb its effectiveness, it remains largely uncontrolled. The paper aims to discuss this issue. Design/methodology/approach This paper provides the first comprehensive and structured discussion of measures to limit or control browser fingerprinting, covering bo

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Romero, Gabriel, Cheryl Adeva, and Zosimo Battad II. "Genetic fingerprinting: Advancing the frontiers of crop biology research." SciEnggJ 2, no. 1 (2009): 8–13. http://dx.doi.org/10.54645/cucm16245.

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Genetic fingerprinting is one of the DNA-based techniques that have permeated a wide gamut of biological research, beginning with forensic biology and medicine and now extending to agriculture. The advent of polymerase chain reaction (PCR) ushered a revolutionary approach in producing genetic fingerprints, supplanting hybridization-based techniques. PCR-based methods can be accomplished using either arbitrary markers of unknown location in the genome or those markers that target specific genome sites. Among agricultural crops, rice and maize are the most intensively characterized for DNA marke

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Wang, Tao, and Ian Goldberg. "On Realistically Attacking Tor with Website Fingerprinting." Proceedings on Privacy Enhancing Technologies 2016, no. 4 (2016): 21–36. http://dx.doi.org/10.1515/popets-2016-0027.

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Abstract Website fingerprinting allows a local, passive observer monitoring a web-browsing client’s encrypted channel to determine her web activity. Previous attacks have shown that website fingerprinting could be a threat to anonymity networks such as Tor under laboratory conditions. However, there are significant differences between laboratory conditions and realistic conditions. First, in laboratory tests we collect the training data set together with the testing data set, so the training data set is fresh, but an attacker may not be able to maintain a fresh data set. Second, laboratory pac

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Thipparthi Upendra Chari and B Srinivasa S P Kumar. "RBP: a website fingerprinting obfuscation method against intelligent fingerprintingattacks." international journal of engineering technology and management sciences 6, no. 6 (2022): 398–403. http://dx.doi.org/10.46647/ijetms.2022.v06i06.071.

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A significant danger to website privacy and web security is posed by website fingerprinting (WF), a passive traffic analysis attack. It gathers the network packets created when a user accesses a website and then employs a number of approaches to identify patterns in the network packets that can be used to determine the kind of website the user is accessing. Numerous anonymous networks, like Tor, can satisfy the need to conceal identify from users while participating in network activities, but they are also vulnerable to WF assaults. In this research, we present Random Bidirectional Padding, a

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Orcutt, K. M., U. Rasmussen, E. A. Webb, J. B. Waterbury, K. Gundersen, and B. Bergman. "Characterization of Trichodesmium spp. by Genetic Techniques." Applied and Environmental Microbiology 68, no. 5 (2002): 2236–45. http://dx.doi.org/10.1128/aem.68.5.2236-2245.2002.

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ABSTRACT The genetic diversity of Trichodesmium spp. from natural populations (off Bermuda in the Sargasso Sea and off North Australia in the Arafura and Coral Seas) and of culture isolates from two regions (Sargasso Sea and Indian Ocean) was investigated. Three independent techniques were used, including a DNA fingerprinting method based on a highly iterated palindrome (HIP1), denaturing gradient gel electrophoresis of a hetR fragment, and sequencing of the internal transcribed spacer (ITS) of the 16S-23S rDNA region. Low genetic diversity was observed in natural populations of Trichodesmium

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Firdaus, Firdaus, Noor Azurati Ahmad, and Shamsul Sahibuddin. "A Review of Hybrid Indoor Positioning Systems Employing WLAN Fingerprinting and Image Processing." International journal of electrical and computer engineering systems 10, no. 2 (2020): 59–72. http://dx.doi.org/10.32985/ijeces.10.2.2.

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Location-based services (LBS) are a significant permissive technology. One of the main components in indoor LBS is the indoor positioning system (IPS). IPS utilizes many existing technologies such as radio frequency, images, acoustic signals, as well as magnetic sensors, thermal sensors, optical sensors, and other sensors that are usually installed in a mobile device. The radio frequency technologies used in IPS are WLAN, Bluetooth, Zig Bee, RFID, frequency modulation, and ultra-wideband. This paper explores studies that have combined WLAN fingerprinting and image processing to build an IPS. T

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Machaj, Juraj, and Peter Brida. "Survey of Device Calibration Techniques for Fingerprinting Localization Algorithms." Communications - Scientific letters of the University of Zilina 15, no. 4 (2013): 48–53. http://dx.doi.org/10.26552/com.c.2013.4.48-53.

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Kowalska, Teresa, Hassan Y. Aboul-Enein, Yvan Vander Heyden, Irena Vovk, and Monika Waksmundzka-Hajnos. "Pharmaceutical and Herbal Fingerprinting by Means of Chromatographic Techniques." Chromatography Research International 2012 (February 8, 2012): 1–2. http://dx.doi.org/10.1155/2012/809541.

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Ismail, Azimah, Mohd Ekhwan Toriman, Hafizan Juahir, et al. "Chemometric techniques in oil classification from oil spill fingerprinting." Marine Pollution Bulletin 111, no. 1-2 (2016): 339–46. http://dx.doi.org/10.1016/j.marpolbul.2016.06.089.

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van Oorschot, Roland A. H., Sally Treadwell, James Beaurepaire, Nicole L. Holding, and Robert J. Mitchell. "Beware of the Possibility of Fingerprinting Techniques Transferring DNA." Journal of Forensic Sciences 50, no. 6 (2005): 1–6. http://dx.doi.org/10.1520/jfs2004430.

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Ullah, Irfan, Abdul Moiz Hassan, Rana Muhammad Saad, and Hammad Omer. "GPU accelerated grouped magnetic resonance fingerprinting using clustering techniques." Magnetic Resonance Imaging 97 (April 2023): 13–23. http://dx.doi.org/10.1016/j.mri.2022.12.019.

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Yazidi, Hamad Al, and Hana Al Romaihi. "Phytochemical fingerprinting techniques for the authentication of medicinal plants." International Journal of Pharmacy and Pharmaceutical Science 2, no. 2 (2020): 08–10. http://dx.doi.org/10.33545/26647222.2020.v2.i2a.103.

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Starman, Terri Woods, Xiangrong Duan, and Shane Abbitt. "Nucleic Acid Scanning Techniques Distinguish Closely Related Cultivars of Poinsettia." HortScience 34, no. 6 (1999): 1119–22. http://dx.doi.org/10.21273/hortsci.34.6.1119.

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DNA amplification fingerprinting (DAF) was used to evaluate the genetic relationships among 11 cultivars of poinsettia (Euphorbia pulcherrima Willd.). Amplification was with 10 octamer oligonucleotide primers that generated 336 DNA bands. Thirty-one percent of the bands were polymorphic and distinguished among cultivars. Genetic relationships were evaluated by cluster analysis, and the resulting dendrogram closely agreed with published cultivar relationships. Arbitrary signatures from amplification profiles (ASAP) were further used to characterize two cultivars, `Nutcracker Red' and `Peterstar

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Huys, Geert, Tom Vanhoutte, and Peter Vandamme. "Application of Sequence-Dependent Electrophoresis Fingerprinting in Exploring Biodiversity and Population Dynamics of Human Intestinal Microbiota: What Can Be Revealed?" Interdisciplinary Perspectives on Infectious Diseases 2008 (2008): 1–26. http://dx.doi.org/10.1155/2008/597603.

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Sequence-dependent electrophoresis (SDE) fingerprinting techniques such as denaturing gradient gel electrophoresis (DGGE) have become commonplace in the field of molecular microbial ecology. The success of the SDE technology lays in the fact that it allows visualization of the predominant members of complex microbial ecosystems independent of their culturability and without prior knowledge on the complexity and diversity of the ecosystem. Mainly using the prokaryotic 16S rRNA gene as PCR amplification target, SDE-based community fingerprinting turned into one of the leading molecular tools to

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Malhotra, Kritika, Jingyi Zheng, Ash Abebe, and Jasmeet Lamba. "Application of Sediment Fingerprinting to Apportion Sediment Sources: Using Machine Learning Models." Journal of the ASABE 66, no. 5 (2023): 1205–21. http://dx.doi.org/10.13031/ja.14906.

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Highlights Relative source contributions to stream bed sediment from construction sites and stream banks were quantified. Two machine-learning techniques were used to select composite fingerprinting properties. The MixSIR Bayesian model was employed for source apportionment. Statistical methods employed for fingerprinting properties selection have the potential to impact source apportionments. Management strategies to reduce sediment mobilization should be targeted depending on the dominant source of sediment in each sub-watershed. Abstract. Sediment fingerprinting is an extensively used appro

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Khandker, Syed, Joaquín Torres-Sospedra, and Tapani Ristaniemi. "Analysis of Received Signal Strength Quantization in Fingerprinting Localization." Sensors 20, no. 11 (2020): 3203. http://dx.doi.org/10.3390/s20113203.

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In recent times, Received Signal Strength (RSS)-based Wi-Fi fingerprinting localization has become one of the most promising techniques for indoor localization. The primary aim of RSS is to check the quality of the signal to determine the coverage and the quality of service. Therefore, fine-resolution RSS is needed, which is generally expressed by 1-dBm granularity. However, we found that, for fingerprinting localization, fine-granular RSS is unnecessary. A coarse-granular RSS can yield the same positioning accuracy. In this paper, we propose quantization for only the effective portion of the

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