Relevant bibliographies by topics / RF mapping

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers
  5. Reports

Academic literature on the topic 'RF mapping'

Author: Grafiati
Published: 9 November 2024
Last updated: 31 July 2025

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Journal articles on the topic "RF mapping"

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Schmitz, B., J. Köszegi, K. Alomari, O. Kugeler, and J. Knobloch. "Magnetometric mapping of superconducting RF cavities." Review of Scientific Instruments 89, no. 5 (2018): 054706. http://dx.doi.org/10.1063/1.5030509.

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Ouma, Y., B. Nkwae, D. Moalafhi, et al. "COMPARISON OF MACHINE LEARNING CLASSIFIERS FOR MULTITEMPORAL AND MULTISENSOR MAPPING OF URBAN LULC FEATURES." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B3-2022 (May 30, 2022): 681–89. http://dx.doi.org/10.5194/isprs-archives-xliii-b3-2022-681-2022.

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Abstract. This study compares four machine-learning algorithms comprising of Classification And Regression Trees (CART), Random Forest (RF), Gradient Tree Boosting (GTB) and Support Vector Machine (SVM) for the classification of urban land-use and land-cover (LULC) features. Using multitemporal and multisensor Landsat data from 1984-2020 at 5-year intervals for the Greater Gaborone Planning Area (GGPA) in Botswana, the aim of the study is to determine the performance of the classifiers in the extraction of different urban LULC features as built-up, bare-soil, water, grass, shrubs and forest. T
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Bonagura, V. R., S. E. Artandi, A. Davidson, et al. "Mapping studies reveal unique epitopes on IgG recognized by rheumatoid arthritis-derived monoclonal rheumatoid factors." Journal of Immunology 151, no. 7 (1993): 3840–52. http://dx.doi.org/10.4049/jimmunol.151.7.3840.

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Abstract We have used chimeric IgG antibodies and their genetically engineered variants prepared by a combination of site-directed mutagenesis and exon exchange to define the structure(s) on IgG recognized by monoclonal rheumatoid factor (RF) autoantibodies from rheumatoid arthritis (RA) patients. Nineteen RF produced by EBV-transformed cell lines from the synovium or blood of RA patients were analyzed. Their binding patterns differ significantly from those seen with RF obtained from patients with Waldenstrom's macroglobulinemia (WMac). Half of the RA-derived RF bound IgG1, 2, and 4, but not 3
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Abida, Khouloud, Meriem Barbouchi, Khaoula Boudabbous, et al. "Sentinel-2 Data for Land Use Mapping: Comparing Different Supervised Classifications in Semi-Arid Areas." Agriculture 12, no. 9 (2022): 1429. http://dx.doi.org/10.3390/agriculture12091429.

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Mapping and monitoring land use (LU) changes is one of the most effective ways to understand and manage land transformation. The main objectives of this study were to classify LU using supervised classification methods and to assess the effectiveness of various machine learning methods. The current investigation was conducted in the Nord-Est area of Tunisia, and an optical satellite image covering the study area was acquired from Sentinel-2. For LU mapping, we tested three machine learning models algorithms: Random Forest (RF), K-Dimensional Trees K-Nearest Neighbors (KDTree-KNN) and Minimum D
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Merfeldas, Audrius, Pranas Kuzas, Darius Gailius, et al. "An Improved Near-field Magnetic Probe Radiation Profile Boundaries Assessment for Optimal Radiated Susceptibility Pre-Mapping." Symmetry 12, no. 7 (2020): 1063. http://dx.doi.org/10.3390/sym12071063.

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In this paper, the near-field radiated susceptibility pre-mapping method is proposed using the improved near-field probe power radiation profile assessment. The modelling of the electromagnetic field strength in 80–3000 MHz range in the proximity of the near-field probe was performed. The −6 dB aperture boundaries of the near-field probe and their variation, due to the proximity of the radio frequency (RF) printed circuit board (PCB) components, were determined, while the aperture map distortion, arising from the proximity of the passive RF PCB components were evaluated. The scanning path requ
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Akbari, Elahe, Ali Darvishi Boloorani, Najmeh Neysani Samany, Saeid Hamzeh, Saeid Soufizadeh, and Stefano Pignatti. "Crop Mapping Using Random Forest and Particle Swarm Optimization based on Multi-Temporal Sentinel-2." Remote Sensing 12, no. 9 (2020): 1449. http://dx.doi.org/10.3390/rs12091449.

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Timely and accurate information on crop mapping and monitoring is necessary for agricultural resources management. Accordingly, the applicability of the proposed classification-feature selection ensemble procedure with different feature sets for crop mapping is investigated. Here, we produced various feature sets including spectral bands, spectral indices, variation of spectral index, texture, and combinations of features to map different types of crops. By using various feature sets and the random forest (RF) classifier, the crop maps were created. In aiming to determine the most relevant and
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Wicaksono, Pramaditya, Prama Ardha Aryaguna, and Wahyu Lazuardi. "Benthic Habitat Mapping Model and Cross Validation Using Machine-Learning Classification Algorithms." Remote Sensing 11, no. 11 (2019): 1279. http://dx.doi.org/10.3390/rs11111279.

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This research was aimed at developing the mapping model of benthic habitat mapping using machine-learning classification algorithms and tested the applicability of the model in different areas. We integrated in situ benthic habitat data and image processing of WorldView-2 (WV2) image to parameterise the machine-learning algorithm, namely: Random Forest (RF), Classification Tree Analysis (CTA), and Support Vector Machine (SVM). The classification inputs are sunglint-free bands, water column corrected bands, Principle Component (PC) bands, bathymetry, and the slope of underwater topography. Kemu
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Kwak, Geun-Ho, Chan-won Park, Kyung-do Lee, Sang-il Na, Ho-yong Ahn, and No-Wook Park. "Potential of Hybrid CNN-RF Model for Early Crop Mapping with Limited Input Data." Remote Sensing 13, no. 9 (2021): 1629. http://dx.doi.org/10.3390/rs13091629.

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When sufficient time-series images and training data are unavailable for crop classification, features extracted from convolutional neural network (CNN)-based representative learning may not provide useful information to discriminate crops with similar spectral characteristics, leading to poor classification accuracy. In particular, limited input data are the main obstacles to obtain reliable classification results for early crop mapping. This study investigates the potential of a hybrid classification approach, i.e., CNN-random forest (CNN-RF), in the context of early crop mapping, that combi
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Pasquali, J. L., A. M. Knapp, A. Farradji, and A. Weryha. "Mapping of four light chain-associated idiotopes of a human monoclonal rheumatoid factor." Journal of Immunology 139, no. 3 (1987): 818–23. http://dx.doi.org/10.4049/jimmunol.139.3.818.

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Abstract In an effort to analyze both IgM rheumatoid factor (RF) repertoire and regulation of RF production in humans, we developed a panel of four mouse monoclonal antibodies (mAb) defining distinct K light chain-associated idiotopes (id) of a human monoclonal IgM RF (Alt). These mAb (A75, AM1, AM2, AM3) had equivalent reactivities with the immunizing RF during classic inhibition of antigen-binding assays. These anti-id reagents were reacting to neither other tested monoclonal IgM RF nor normal polyclonal IgM. It was possible to distinguish the id defined by the mAb from the results of four s
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Chen, Wei, Zhao Wang, Guirong Wang, et al. "Optimizing Rotation Forest-Based Decision Tree Algorithms for Groundwater Potential Mapping." Water 15, no. 12 (2023): 2287. http://dx.doi.org/10.3390/w15122287.

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Groundwater potential mapping is an important prerequisite for evaluating the exploitation, utilization, and recharge of groundwater. The study uses BFT (best-first decision tree classifier), CART (classification and regression tree), FT (functional trees), EBF (evidential belief function) benchmark models, and RF-BFTree, RF-CART, and RF-FT ensemble models to map the groundwater potential of Wuqi County, China. Firstly, select sixteen groundwater spring-related variables, such as altitude, plan curvature, profile curvature, curvature, slope angle, slope aspect, stream power index, topographic
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Dissertations / Theses on the topic "RF mapping"

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Schwartz, Benjamin M. (Benjamin Matthew). "Mapping bulk electrical properties with non-contact RF measurements." Thesis, Massachusetts Institute of Technology, 2006. http://hdl.handle.net/1721.1/36118.

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Thesis (S.B.)--Massachusetts Institute of Technology, Dept. of Physics, 2006.<br>Includes bibliographical references (leaf 43).<br>The human body is composed primarily of dielectric tissue with spatially varying permittivity and conductivity. Traditional MRI does not measure these properties. Instead, the conductivity of the patient is a nuisance, causing unpredictable detuning of coils and field inhomogeneities. This thesis presents a method for mapping the electrodynamic properties of the patient's body with both MR and non-MR techniques. Such mapping has direct applications for medical imag
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Mulugeta, Biruk Ashenafi. "RF Indoor mapping using measurements, sensors network, simulations and artificial intelligence." Electronic Thesis or Diss., Institut polytechnique de Paris, 2025. http://www.theses.fr/2025IPPAT005.

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Les avancées rapides des technologies sans fil, visant à répondre à la demande croissante de trafic de données sans fil, ont également élevé la perception du risque par le public en raison de l'augmentation de l'émission de champs électromagnétiques (CEM). En réponse à ces préoccupations, des directives internationales ont été établies pour éviter une surexposition susceptible de provoquer des effets néfastes sur la santé.Étant donné que les gens passent plus de 70% de leur temps quotidien dans des environnements intérieurs, les efforts pour évaluer l'exposition aux CEM RF à l'intérieur se son
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Dalveren, Taylan. "A Study of Sensitivity Mapping Techniques for Multi-Channel MR Coils." University of Akron / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=akron1373403690.

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Brandejsky, Vaclav. "MR scanner independent 3D B1 field mapping of magnetic resonance spectroscopy RF coils using an automated measurement system." Thesis, Linköpings universitet, Institutionen för medicinsk teknik, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-15025.

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We developed a method for measurement of the B1+/- fields as an alternative approach to B1+/- fields assessment in MR scanner. Our setup incorporates an industrial coordinate table controlled by a PC-based program, search coils, a two--port vector network analyzer and an analog-to-digital (A/D) card. It is possible to measure in various liquid media (for example in saline solution) to mimic different shapes and dielectric properties of the human body.<br>Radiofrekventa - spolars känslighetsmönster är viktigt för avbildning med magnetkamera (MRI) och magnetresonansspektroskopi (MRS). Vetskap om
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Brandejsky, Vaclav. "MR scanner independent 3D B1 field mapping of magnetic resonance spectroscopy RF coils using an automated measurement system." Thesis, Linköping University, Department of Biomedical Engineering, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-15025.

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<p>We developed a method for measurement of the B<sub>1</sub><sup>+/-</sup> fields as an alternative approach to B<sub>1</sub><sup>+/-</sup> fields assessment in MR scanner. Our setup incorporates an industrial coordinate table controlled by a PC-based program, search coils, a two--port vector network analyzer and an analog-to-digital (A/D) card. It is possible to measure in various liquid media (for example in saline solution) to mimic different shapes and dielectric properties of the human body.</p><br><p>Radiofrekventa - spolars känslighetsmönster är viktigt för avbildning med magnetkamera
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Voigt, Tobias [Verfasser], and O. [Akademischer Betreuer] Dössel. "Quantitative MR Imaging of the Electric Properties and Local SAR based on Improved RF Transmit Field Mapping / Tobias Voigt ; Betreuer: O. Dössel." Karlsruhe : KIT Scientific Publishing, 2011. http://d-nb.info/1184497532/34.

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Björk, Marcus. "Contributions to Signal Processing for MRI." Doctoral thesis, Uppsala universitet, Avdelningen för systemteknik, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-246537.

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Magnetic Resonance Imaging (MRI) is an important diagnostic tool for imaging soft tissue without the use of ionizing radiation. Moreover, through advanced signal processing, MRI can provide more than just anatomical information, such as estimates of tissue-specific physical properties. Signal processing lies at the very core of the MRI process, which involves input design, information encoding, image reconstruction, and advanced filtering. Based on signal modeling and estimation, it is possible to further improve the images, reduce artifacts, mitigate noise, and obtain quantitative tissue info
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Okujeni, Akpona. "Quantifying urban land cover by means of machine learning and imaging spectrometer data at multiple spatial scales." Doctoral thesis, Humboldt-Universität zu Berlin, Mathematisch-Naturwissenschaftliche Fakultät, 2014. http://dx.doi.org/10.18452/17082.

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Das weltweite Ausmaß der Urbanisierung zählt zu den großen ökologischen Herausforderungen des 21. Jahrhunderts. Die Fernerkundung bietet die Möglichkeit das Verständnis dieses Prozesses und seiner Auswirkungen zu erweitern. Der Fokus dieser Arbeit lag in der Quantifizierung der städtischen Landbedeckung mittels Maschinellen Lernens und räumlich unterschiedlich aufgelöster Hyperspektraldaten. Untersuchungen berücksichtigten innovative methodische Entwicklungen und neue Möglichkeiten, die durch die bevorstehende Satellitenmission EnMAP geschaffen werden. Auf Basis von Bilder des flugzeugestützte
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Sandouno, Bernard Tamba. "Amélioration de la précision des cartes de couverture réseau par des techniques de lancer de rayons." Electronic Thesis or Diss., Université Côte d'Azur, 2024. http://www.theses.fr/2024COAZ4020.

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Le lancer de rayons est un modèle de propagation déterministe qui estime la puissance du signal reçu en des emplacements géographiques spécifiques, en prenant en compte de manière exhaustive des facteurs environnementaux en 3D qui influencent la propagation du signal. Cette grande précision du lancer de rayons se fait toutefois au prix d'une charge de calcul élevée due aux complexités de ses processus. Cette charge de calcul se caractérise par une consommation élevée de la mémoire vive et un temps d'exécution élevé, rendant difficile le calcul efficace de la puissance du signal reçu.Conscients
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Wells, D. D., I. G. Siebörger, and Barry Vivian William Irwin. "Location and mapping of 2.4 GHz RF transmitters." 2008. http://hdl.handle.net/10962/d1009324.

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This paper describes the use of a MetaGeek WiSpy dongle in conjunction with custom developed client-server software for the accurate identication of Wireless nodes within an organisation. The MetaGeek WiSpy dongle together with the custom developed software allow for the determination of the positions of Wi-Fi transceivers to within a few meters, which can be helpful in reducing the area for physical searches in the event of rogue units. This paper describes the tool and methodology for a site survey as a component that can be used in organisations wishing to audit their environments for wirel
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Book chapters on the topic "RF mapping"

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Ayad, Mustafa, and Richard Voyles. "RF Mapping for Sensor Nodes Connectivity and Communication Signal Recovery." In Lecture Notes in Networks and Systems. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-80119-9_43.

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Yazgan, Erdem, and Volkan Akan. "Conformal Mapping Techniques." In Encyclopedia of RF and Microwave Engineering. John Wiley & Sons, Inc., 2005. http://dx.doi.org/10.1002/0471654507.eme552.

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Rosenheck, Shimon, Jeffrey Banker, Alexey Weiss, and Zehava Sharo. "Electromagnetic Mapping During Complex RF Ablations." In Cardiac Arrhythmias - New Considerations. InTech, 2012. http://dx.doi.org/10.5772/30391.

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Sharma, Shriya, Rohan M. Goswami, Juan Leoni, and Jose Ruiz. "New Insights into Cardiac Ablation." In Atrial Fibrillation - Current Management and Practice [Working Title]. IntechOpen, 2024. http://dx.doi.org/10.5772/intechopen.1005656.

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Catheter ablation has emerged as a significant treatment approach to treat symptoms and regulate heart rate or rhythm. This review highlights the evolution of catheter ablation, focusing on its applications in atrial fibrillation (AF). Radiofrequency (RF) catheter ablation has become a primary treatment option due to its high success rate and minimal adverse effects. Using three-dimensional (3D) reconstruction and mapping systems enhances precision in targeting arrhythmogenic substrates.
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"Appendix H Synthesis of Resonant-Type Metamaterial Transmission Lines by Means of Aggressive Space Mapping." In Artificial Transmission Lines for RF and Microwave Applications. John Wiley & Sons, Inc, 2015. http://dx.doi.org/10.1002/9781119058403.app8.

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Kadir, Herdawatie Abdul, and Mohd Rizal Arshad. "A Framework for RF-Visual SLAM for Cooperative Multi-Agent System." In Advances in Computational Intelligence and Robotics. IGI Global, 2015. http://dx.doi.org/10.4018/978-1-4666-7387-8.ch022.

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This chapter provides a framework for radio frequency visual simultaneous localization and mapping problems for a team of agents consisting of three blimps and beacons. In a cooperative system, each agent must establish reliable data sharing during a mission. Under these conditions, a framework was proposed which allows each agent to share the local information using peer-to-peer networking schemes. The RF-vSLAM algorithm seeks to acquire a map during navigation, simultaneously localizing itself using the map and received signal strength indicator information to predict the distance between ag
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Mohammadpour, Pegah, Crismeire Isbaex, Emilio Chuvieco, Domingos Xavier Viegas, and Carlos Viegas. "Vegetation Mapping with Random Forest using Sentinel 2- A case study for Lousã region, Portugal." In Advances in Forest Fire Research 2022. Imprensa da Universidade de Coimbra, 2022. http://dx.doi.org/10.14195/978-989-26-2298-9_71.

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Vegetation mapping requires accurate information to allow its use in applications such as sustainable forest management against the effects of climate change and the threat of wildfires. Remote sensing provides a powerful resource of fundamental data at different spatial resolutions and spectral regions, making it an essential tool for vegetation mapping and biomass management. Due to the ever-increasing availability of free data and software, satellites have been predominantly used to map, analyze, and monitor natural resources for conservation purposes. This study aimed to map vegetation fro
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Hubert, G., and S. Silvia Priscila. "Comprehensive Prediction of Retinopathy in Preterm Infants Using Deep Learning Approaches." In Advances in Computer and Electrical Engineering. IGI Global, 2024. http://dx.doi.org/10.4018/979-8-3693-3739-4.ch018.

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Preterm newborns' visual condition is greatly endangered by retinopathy, which makes prompt and precise identification essential for successful treatment. Using the capabilities of ML (machine learning) computations, the current investigation suggests a combined strategy for retinopathy forecasting in preterm infants. To improve prediction accuracy, specificity, and sensitivity, the investigation also includes a gray-level co-occurrence matrix (GLCM) for collecting features and a median filter to reduce noise. The work uses the RF, SVM, and MLP algorithms for modeling predictions, using their
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Homère Ngandam Mfondoum, Alfred, Igor Casimir Njombissie Petcheu, Frederic Chamberlain Lounang Tchatchouang, Luc Moutila Beni, Mesmin Tchindjang, and Jean Valery Mefire Mfondoum. "Dynamics, Anomalies and Boundaries of the Forest-Savanna Transition: A Novel Remote Sensing-Based Multi-Angles Methodology Using Google Earth Engine." In GIS and Spatial Analysis [Working Title]. IntechOpen, 2022. http://dx.doi.org/10.5772/intechopen.105074.

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This chapter proposes a remote sensing multi-angles methodology to assess the transition at the interface of the forest-savanna land cover. On Sentinel2-A median images of successive dry seasons, three referential and nine analytical spectral indices were computed. The change vector analysis (CVA) was performed, selecting further one magnitude per index. The averaged moving standard deviation index (aMSDI) was proposed to compare spatial intensity of anomalies among selected CVA, and then statistically assessed through spatial and no-spatial autoregression tests. The cross-correlation and simp
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Młynarek Zb., Tschuschke W., Wierzbicki J., and Wołyński W. "Statistical criteria of determination of homogenous geotechnical layers." In Proceedings of the 16th International Conference on Soil Mechanics and Geotechnical Engineering. IOS Press, 2005. https://doi.org/10.3233/978-1-61499-656-9-725.

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The problem of determination of homogenous layers in respect of geotechnical parameters has fundamental meaning for the acceptation of the foundation design for any building. The determination of layers is carried out on the basis of results of in situ tests, supplemented by some laboratory tests. The main task in the determination of homogenous layers is grouping data obtained from the above mentioned tests. In the past, the most popular approach was to use the intuition of geotechnical engineers, supported by basic statistical calculations. The limitation in the use of more advanced methods
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Conference papers on the topic "RF mapping"

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Kim, Sean, Hailey H. Kim, and Brian Choi. "Exploiting RF Signature in 5G Simultaneous Localization and Mapping." In 2024 IEEE Integrated STEM Education Conference (ISEC). IEEE, 2024. http://dx.doi.org/10.1109/isec61299.2024.10665037.

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Li, Yiming, Zeyu Li, Zhihui Gao, and Tingjun Chen. "Geo2SigMap: High-Fidelity RF Signal Mapping Using Geographic Databases." In 2024 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN). IEEE, 2024. http://dx.doi.org/10.1109/dyspan60163.2024.10632773.

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Tukimin, Roha, Syarfa Zahirah Sapuan, Wan Syazlin Wan Yunoh, and Nur Afrina Zainal. "Measurement and Mapping of Radiofrequency Electromagnetic Field (RF-EMF) Radiation Exposure in Malaysia's Environment." In 2024 IEEE 15th Control and System Graduate Research Colloquium (ICSGRC). IEEE, 2024. http://dx.doi.org/10.1109/icsgrc62081.2024.10690979.

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Rosine, Germanicus, and El-Hassani Othman. "Machine Learning for Predicting DataCube Atomic Force Microscope (AFM)—MultiDAT-AFM." In ISTFA 2024. ASM International, 2024. http://dx.doi.org/10.31399/asm.cp.istfa2024p0351.

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Abstract In nanoscience, techniques based on Atomic Force Microscope (AFM) stand as a cornerstone for exploring local electrical, electrochemical and magnetic properties of microelectronic devices at the nanoscale. As AFM's capabilities evolve, so do the challenges of data analysis. With the aim of developing a prediction model for AFM mappings, based on Machine Learning, this work presents a step towards the analysis and benefit of Big Data recorded in the hyperspectral modes: AFM DataCube. The MultiDAT-AFM solution is an advanced 2000-line Python-based tool designed to tackle the complexitie
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Rütschlin, M., and V. Sokol. "Complex permittivity extraction using a space-mapping technique." In 2nd Annual Passive RF and Microwave Components Seminar. IET, 2011. http://dx.doi.org/10.1049/ic.2011.0198.

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Ayad, Mustafa, Jun Jason Zhang, Richard Voyles, and Mohammad H. Mahoor. "Mobile robot connectivity maintenance based on RF mapping." In 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2013). IEEE, 2013. http://dx.doi.org/10.1109/iros.2013.6696840.

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Bozkurt, Sinem, Ahmet Yazici, Serkan Gunal, and Ugur Yayan. "A survey on RF mapping for indoor positioning." In 2015 23th Signal Processing and Communications Applications Conference (SIU). IEEE, 2015. http://dx.doi.org/10.1109/siu.2015.7130275.

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Schuette, Jason, Barry Fell, John Chapin, et al. "Performance of RF mapping using opportunistic distributed devices." In MILCOM 2015 - 2015 IEEE Military Communications Conference. IEEE, 2015. http://dx.doi.org/10.1109/milcom.2015.7357677.

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Murakowski, Janusz A., Garrett Schneider, and Dennis W. Prather. "Optical processing for phased-array and beamspace mapping." In Terahertz, RF, Millimeter, and Submillimeter-Wave Technology and Applications XV, edited by Laurence P. Sadwick and Tianxin Yang. SPIE, 2022. http://dx.doi.org/10.1117/12.2613480.

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Jaw, Siow Wei, and Mazlan Hashim. "Accuracy of data acquisition approaches with ground penetrating radar for subsurface utility mapping." In 2011 IEEE International RF and Microwave Conference (RFM). IEEE, 2011. http://dx.doi.org/10.1109/rfm.2011.6168691.

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Reports on the topic "RF mapping"

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Alwan, Iktimal, Dennis D. Spencer, and Rafeed Alkawadri. Comparison of Machine Learning Algorithms in Sensorimotor Functional Mapping. Progress in Neurobiology, 2023. http://dx.doi.org/10.60124/j.pneuro.2023.30.03.

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Objective: To compare the performance of popular machine learning algorithms (ML) in mapping the sensorimotor cortex (SM) and identifying the anterior lip of the central sulcus (CS). Methods: We evaluated support vector machines (SVMs), random forest (RF), decision trees (DT), single layer perceptron (SLP), and multilayer perceptron (MLP) against standard logistic regression (LR) to identify the SM cortex employing validated features from six-minute of NREM sleep icEEG data and applying standard common hyperparameters and 10-fold cross-validation. Each algorithm was tested using vetted feature
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