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 (May 2018): 054706. http://dx.doi.org/10.1063/1.5030509.
Full textBonagura, V. R., S. E. Artandi, A. Davidson, I. Randen, N. Agostino, K. Thompson, J. B. Natvig, and S. L. Morrison. "Mapping studies reveal unique epitopes on IgG recognized by rheumatoid arthritis-derived monoclonal rheumatoid factors." Journal of Immunology 151, no. 7 (October 1, 1993): 3840–52. http://dx.doi.org/10.4049/jimmunol.151.7.3840.
Full textOuma, Y., B. Nkwae, D. Moalafhi, P. Odirile, B. Parida, G. Anderson, and J. Qi. "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.
Full textAkbari, 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 (May 3, 2020): 1449. http://dx.doi.org/10.3390/rs12091449.
Full textAbida, Khouloud, Meriem Barbouchi, Khaoula Boudabbous, Wael Toukabri, Karem Saad, Habib Bousnina, and Thouraya Sahli Chahed. "Sentinel-2 Data for Land Use Mapping: Comparing Different Supervised Classifications in Semi-Arid Areas." Agriculture 12, no. 9 (September 9, 2022): 1429. http://dx.doi.org/10.3390/agriculture12091429.
Full textMerfeldas, Audrius, Pranas Kuzas, Darius Gailius, Zilvinas Nakutis, Mindaugas Knyva, Algimantas Valinevicius, Darius Andriukaitis, Mindaugas Zilys, and Dangirutis Navikas. "An Improved Near-field Magnetic Probe Radiation Profile Boundaries Assessment for Optimal Radiated Susceptibility Pre-Mapping." Symmetry 12, no. 7 (June 28, 2020): 1063. http://dx.doi.org/10.3390/sym12071063.
Full textPasquali, 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 (August 1, 1987): 818–23. http://dx.doi.org/10.4049/jimmunol.139.3.818.
Full textWicaksono, Pramaditya, Prama Ardha Aryaguna, and Wahyu Lazuardi. "Benthic Habitat Mapping Model and Cross Validation Using Machine-Learning Classification Algorithms." Remote Sensing 11, no. 11 (May 29, 2019): 1279. http://dx.doi.org/10.3390/rs11111279.
Full textKwak, 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 (April 21, 2021): 1629. http://dx.doi.org/10.3390/rs13091629.
Full textKhalighi, Mohammad Mehdi, Brian K. Rutt, and Adam B. Kerr. "Adiabatic RF pulse design for Bloch-SiegertB+ mapping." Magnetic Resonance in Medicine 70, no. 3 (October 5, 2012): 829–35. http://dx.doi.org/10.1002/mrm.24507.
Full textChen, Wei, Zhao Wang, Guirong Wang, Zixin Ning, Boxiang Lian, Shangjie Li, Paraskevas Tsangaratos, Ioanna Ilia, and Weifeng Xue. "Optimizing Rotation Forest-Based Decision Tree Algorithms for Groundwater Potential Mapping." Water 15, no. 12 (June 19, 2023): 2287. http://dx.doi.org/10.3390/w15122287.
Full textPipa, Gordon, Zhe Chen, Sergio Neuenschwander, Bruss Lima, and Emery N. Brown. "Mapping of Visual Receptive Fields by Tomographic Reconstruction." Neural Computation 24, no. 10 (October 2012): 2543–78. http://dx.doi.org/10.1162/neco_a_00334.
Full textSriprom, Chatyapa, Supaluck Kanjanauthai, and Anon Jantanukul. "การสร้างภาพสามมิติ (3D Mapping) ในกลุ่มผู้ป่วยภาวะหัวใจเต้นผิดจังหวะชนิดเร็วที่ได้รับการรักษาโดยการจี้ด้วยกระแสไฟฟ้า (Ablation)." Siriraj Medical Bulletin 14, no. 3 (July 1, 2021): 53–60. http://dx.doi.org/10.33192/smb.v14i3.249578.
Full textZhao, Zhi-Dong, Ming-Song Zhao, Hong-Liang Lu, Shi-Hang Wang, and Yuan-Yuan Lu. "Digital Mapping of Soil pH Based on Machine Learning Combined with Feature Selection Methods in East China." Sustainability 15, no. 17 (August 25, 2023): 12874. http://dx.doi.org/10.3390/su151712874.
Full textEghrari, Z., M. R. Delavar, M. Zare, A. Beitollahi, and B. Nazari. "LAND SUBSIDENCE SUSCEPTIBILITY MAPPING USING MACHINE LEARNING ALGORITHMS." ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences X-4/W1-2022 (January 13, 2023): 129–36. http://dx.doi.org/10.5194/isprs-annals-x-4-w1-2022-129-2023.
Full textWang, Ming, Dehua Mao, Yeqiao Wang, Kaishan Song, Hengqi Yan, Mingming Jia, and Zongming Wang. "Annual Wetland Mapping in Metropolis by Temporal Sample Migration and Random Forest Classification with Time Series Landsat Data and Google Earth Engine." Remote Sensing 14, no. 13 (July 2, 2022): 3191. http://dx.doi.org/10.3390/rs14133191.
Full textJiang, Fugen, Andrew R. Smith, Mykola Kutia, Guangxing Wang, Hua Liu, and Hua Sun. "A Modified KNN Method for Mapping the Leaf Area Index in Arid and Semi-Arid Areas of China." Remote Sensing 12, no. 11 (June 10, 2020): 1884. http://dx.doi.org/10.3390/rs12111884.
Full textTsogtbaatar, Undrakhtsetseg, Sainbayar Dalantai, and Bayartungalag Batsaikhan. "Soil moisture mapping using machine learning technique." Mongolian Journal of Geography and Geoecology 60, no. 44 (December 28, 2023): 222–30. http://dx.doi.org/10.5564/mjgg.v60i44.3062.
Full textWang, Tiebin, Kaiyuan Huang, Min Liu, and Ranran He. "Sparse Space Shift Keying Modulation with Enhanced Constellation Mapping." Sensors 22, no. 15 (August 7, 2022): 5895. http://dx.doi.org/10.3390/s22155895.
Full textGanjirad, M., and M. R. Delavar. "FLOOD RISK MAPPING USING RANDOM FOREST AND SUPPORT VECTOR MACHINE." ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences X-4/W1-2022 (January 13, 2023): 201–8. http://dx.doi.org/10.5194/isprs-annals-x-4-w1-2022-201-2023.
Full textYang, Zhicheng, Andrea D’Alpaos, Marco Marani, and Sonia Silvestri. "Assessing the Fractional Abundance of Highly Mixed Salt-Marsh Vegetation Using Random Forest Soft Classification." Remote Sensing 12, no. 19 (October 3, 2020): 3224. http://dx.doi.org/10.3390/rs12193224.
Full textHan, Hyangsun, Taewook Kim, and Seohyeon Kim. "River Ice Mapping from Landsat-8 OLI Top of Atmosphere Reflectance Data by Addressing Atmospheric Influences with Random Forest: A Case Study on the Han River in South Korea." Remote Sensing 16, no. 17 (August 29, 2024): 3187. http://dx.doi.org/10.3390/rs16173187.
Full textXi, Jing, Qigang Jiang, Huaxin Liu, and Xin Gao. "Lithological Mapping Research Based on Feature Selection Model of ReliefF-RF." Applied Sciences 13, no. 20 (October 12, 2023): 11225. http://dx.doi.org/10.3390/app132011225.
Full textTan, X. L. "Mapping of Rice Rf Gene by Bulked Line Analysis." DNA Research 5, no. 1 (January 1, 1998): 15–18. http://dx.doi.org/10.1093/dnares/5.1.15.
Full textShapiro, Erik M., Arijitt Borthakur, Michael J. Shapiro, Ravinder Reddy, and John S. Leigh. "Fast MRI of RF heating via phase difference mapping." Magnetic Resonance in Medicine 47, no. 3 (February 20, 2002): 492–98. http://dx.doi.org/10.1002/mrm.10067.
Full textKhalighi, Mohammad Mehdi, Brian K. Rutt, and Adam B. Kerr. "RF pulse optimization for Bloch-Siegert B +1 mapping." Magnetic Resonance in Medicine 68, no. 3 (December 5, 2011): 857–62. http://dx.doi.org/10.1002/mrm.23271.
Full textOkoh, Supreme Ayewoh, Stanley Tio Andeobu, John-Davis Chukwuemeka Oyedum, Nuhu Sadiq, and Elizabeth Nonye Onwuka. "RF Coverage Mapping of Mobile Phone Networks in Nigeria." International Journal of Computing and Digital Systems 12, no. 1 (July 20, 2022): 417–25. http://dx.doi.org/10.12785/ijcds/120133.
Full textCetinkaya, S., and S. Kocaman. "SNOW AVALANCHE SUSCEPTIBILITY MAPPING FOR DAVOS, SWITZERLAND." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B3-2022 (May 30, 2022): 1083–90. http://dx.doi.org/10.5194/isprs-archives-xliii-b3-2022-1083-2022.
Full textAlzahrani, Ali, and Awos Kanan. "Machine Learning Approaches for Developing Land Cover Mapping." Applied Bionics and Biomechanics 2022 (June 30, 2022): 1–8. http://dx.doi.org/10.1155/2022/5190193.
Full textSarkar, Showmitra Kumar, Swapan Talukdar, Atiqur Rahman, Shahfahad, and Sujit Kumar Roy. "Groundwater potentiality mapping using ensemble machine learning algorithms for sustainable groundwater management." Frontiers in Engineering and Built Environment 2, no. 1 (November 2, 2021): 43–54. http://dx.doi.org/10.1108/febe-09-2021-0044.
Full textLin, Chinsu, and Nova D. Doyog. "Challenges of Retrieving LULC Information in Rural-Forest Mosaic Landscapes Using Random Forest Technique." Forests 14, no. 4 (April 15, 2023): 816. http://dx.doi.org/10.3390/f14040816.
Full textPavanelli, João Arthur Pompeu, João Roberto dos Santos, Lênio Soares Galvão, Maristela Xaud, and Haron Abrahim Magalhães Xaud. "PALSAR-2/ALOS-2 AND OLI/LANDSAT-8 DATA INTEGRATION FOR LAND USE AND LAND COVER MAPPING IN NORTHERN BRAZILIAN AMAZON." Boletim de Ciências Geodésicas 24, no. 2 (June 2018): 250–69. http://dx.doi.org/10.1590/s1982-21702018000200017.
Full textShao, Yakui, Zhongke Feng, Meng Cao, Wenbiao Wang, Linhao Sun, Xuanhan Yang, Tiantian Ma, et al. "An Ensemble Model for Forest Fire Occurrence Mapping in China." Forests 14, no. 4 (March 29, 2023): 704. http://dx.doi.org/10.3390/f14040704.
Full textWang, Changpeng, Yangchun Lin, Zhiwen Tao, Jiayin Zhan, Wenkai Li, and Huabing Huang. "An Inverse-Occurrence Sampling Approach for Urban Flood Susceptibility Mapping." Remote Sensing 15, no. 22 (November 16, 2023): 5384. http://dx.doi.org/10.3390/rs15225384.
Full textLachaud, Alix, Marcus Adam, and Ilija Mišković. "Comparative Study of Random Forest and Support Vector Machine Algorithms in Mineral Prospectivity Mapping with Limited Training Data." Minerals 13, no. 8 (August 13, 2023): 1073. http://dx.doi.org/10.3390/min13081073.
Full textWu, Fan, Yufen Ren, and Xiaoke Wang. "Application of Multi-Source Data for Mapping Plantation Based on Random Forest Algorithm in North China." Remote Sensing 14, no. 19 (October 3, 2022): 4946. http://dx.doi.org/10.3390/rs14194946.
Full textVan Huynh, Chuong, Tung Gia Pham, Linh Hoang Khanh Nguyen, Hai Trung Nguyen, Phuong Thuy Nguyen, Quy Ngoc Phuong Le, Phuong Thị Tran, Mai Thi Hong Nguyen, and Tuyet Thi Anh Tran. "Application GIS and remote sensing for soil organic carbon mapping in a farm-scale in the hilly area of central Vietnam." Air, Soil and Water Research 15 (January 2022): 117862212211147. http://dx.doi.org/10.1177/11786221221114777.
Full textBerangi, Mostafa, Andre Kuehne, Helmar Waiczies, and Thoralf Niendorf. "MRI of Implantation Sites Using Parallel Transmission of an Optimized Radiofrequency Excitation Vector." Tomography 9, no. 2 (March 8, 2023): 603–20. http://dx.doi.org/10.3390/tomography9020049.
Full textOuma, Yashon O., Thabiso G. Gabasiane, and Nyaladzani Nkhwanana. "Mapping Prosopis L. (Mesquites) Using Sentinel-2 MSI Satellite Data, NDVI and SVI Spectral Indices with Maximum-Likelihood and Random Forest Classifiers." Journal of Sensors 2023 (July 4, 2023): 1–18. http://dx.doi.org/10.1155/2023/8882730.
Full textSilva, Sérgio Henrique Godinho, Anita Fernanda dos Santos Teixeira, Michele Duarte de Menezes, Luiz Roberto Guimarães Guilherme, Fatima Maria de Souza Moreira, and Nilton Curi. "Multiple linear regression and random forest to predict and map soil properties using data from portable X-ray fluorescence spectrometer (pXRF)." Ciência e Agrotecnologia 41, no. 6 (December 2017): 648–64. http://dx.doi.org/10.1590/1413-70542017416010317.
Full textForsey, D., B. Leblon, A. LaRocque, M. Skinner, and A. Douglas. "EELGRASS MAPPING IN ATLANTIC CANADA USING WORLDVIEW-2 IMAGERY." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B3-2020 (August 21, 2020): 685–92. http://dx.doi.org/10.5194/isprs-archives-xliii-b3-2020-685-2020.
Full textBazzi, Hassan, Nicolas Baghdadi, Dino Ienco, Mohammad El Hajj, Mehrez Zribi, Hatem Belhouchette, Maria Jose Escorihuela, and Valérie Demarez. "Mapping Irrigated Areas Using Sentinel-1 Time Series in Catalonia, Spain." Remote Sensing 11, no. 15 (August 6, 2019): 1836. http://dx.doi.org/10.3390/rs11151836.
Full textSong, Weicheng, Aiqing Feng, Guojie Wang, Qixia Zhang, Wen Dai, Xikun Wei, Yifan Hu, Solomon Obiri Yeboah Amankwah, Feihong Zhou, and Yi Liu. "Bi-Objective Crop Mapping from Sentinel-2 Images Based on Multiple Deep Learning Networks." Remote Sensing 15, no. 13 (July 6, 2023): 3417. http://dx.doi.org/10.3390/rs15133417.
Full textKumar, Suchit, Kyu Chan Lee, Jong-Min Kim, Jeung-Hoon Seo, Chulhyun Lee, and Chang-Hyun Oh. "Multislice B1 Mapping Method Using Magnetic Resonance Composite Spin Echo Sequences and Simultaneous Echo Refocusing." Concepts in Magnetic Resonance Part A 2023 (April 13, 2023): 1–9. http://dx.doi.org/10.1155/2023/7642095.
Full textZhou, Tao, Yajun Geng, Jie Chen, Chuanliang Sun, Dagmar Haase, and Angela Lausch. "Mapping of Soil Total Nitrogen Content in the Middle Reaches of the Heihe River Basin in China Using Multi-Source Remote Sensing-Derived Variables." Remote Sensing 11, no. 24 (December 7, 2019): 2934. http://dx.doi.org/10.3390/rs11242934.
Full textFathololoumi, Solmaz, Mohammad Karimi Firozjaei, and Asim Biswas. "An Innovative Fusion-Based Scenario for Improving Land Crop Mapping Accuracy." Sensors 22, no. 19 (September 30, 2022): 7428. http://dx.doi.org/10.3390/s22197428.
Full textFeng, Yang, Qiong Wu, Jiajia Yang, Satoshi Takahashi, Yoshimichi Ejima, Jinglong Wu, and Ming Zhang. "Eccentricity Effect of Deformation Detection for Radial Frequency Patterns With Their Centers at Fixation Point." Perception 49, no. 8 (August 2020): 858–81. http://dx.doi.org/10.1177/0301006620936473.
Full textMazarire, Theresa Taona, Phathutshedzo Eugene Ratshiedana, Adolph Nyamugama, Elhadi Adam, and George Chirima. "Exploring machine learning algorithms for mapping crop types in a heterogeneous agriculture landscape using Sentinel-2 data. A case study of Free State Province, South Africa." South African Journal of Geomatics 9, no. 2 (September 7, 2022): 333–47. http://dx.doi.org/10.4314/sajg.v9i2.22.
Full textKuhn, Stephen, Matthew J. Cracknell, Anya M. Reading, and Stephanie Sykora. "Identification of intrusive lithologies in volcanic terrains in British Columbia by machine learning using random forests: The value of using a soft classifier." GEOPHYSICS 85, no. 6 (November 1, 2020): B249—B258. http://dx.doi.org/10.1190/geo2019-0461.1.
Full textStritt, Michael, Tobias Oesterlein, Stefan Pollnow, Armin Luik, Claus Schmitt, and Olaf Dössel. "Assessment of local high-density mapping for the analysis of radiofrequency ablation lesions in the left atrium." Current Directions in Biomedical Engineering 3, no. 2 (September 7, 2017): 109–12. http://dx.doi.org/10.1515/cdbme-2017-0176.
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