PublisherDOIYearVolumeIssuePageTitleAuthor(s)Link
Journal of Electromagnetic Engineering and Science10.26866/jees.2019.19.3.1772019193177-187Analysis and Modeling of GPR Signals to Detect Cavities: Case Studies in MoroccoGamil Alsharahi, Ahmed Faize, Carmen Maftei, Mohamed Bayjja, Mohamed Louzazni, Abdellah Driouach, Abdellatif Khamlichihttp://jees.kr/upload/pdf/jees-2019-19-3-177.pdf, http://jees.kr/journal/view.php?doi=10.26866/jees.2019.19.3.177, http://jees.kr/upload/pdf/jees-2019-19-3-177.pdf
Science News10.2307/395042519669019381Ultrasonics Detect Cavitieshttp://api.wiley.com/onlinelibrary/tdm/v1/articles/10.2307%2F3950425, https://onlinelibrary.wiley.com/doi/full/10.2307/3950425
Case Studies in Nondestructive Testing and Evaluation10.1016/j.csndt.2016.11.0022016694-104Incorporating transmitter–receiver offset to interpret pavement layer thicknesses by GPRM.U. Ahmed, R.A. Tarefder, A.K. Majihttps://api.elsevier.com/content/article/PII:S2214657116300405?httpAccept=text/plain, https://api.elsevier.com/content/article/PII:S2214657116300405?httpAccept=text/xml
Near Surface Geophysics10.3997/1873-0604.2006012200646387-392Electrical resistivity tomography to detect buried cavities in Rome: a case studyE. Cardarelli, G. Di Filippo, E. Tuccinardihttps://api.wiley.com/onlinelibrary/tdm/v1/articles/10.3997%2F1873-0604.2006012, http://onlinelibrary.wiley.com/wol1/doi/10.3997/1873-0604.2006012/fullpdf
Remote Sensing10.3390/rs60646872014664687-4704GPR Raw-Data Order Statistic Filtering and Split-Spectrum Processing to Detect MoistureGokhan Kilichttp://www.mdpi.com/2072-4292/6/6/4687/pdf
Case Studies in Engineering Failure Analysis10.1016/s2213-2902(13)00028-x201311ivCase Studies in Engineering Failure AnalysisRichard Clegghttps://api.elsevier.com/content/article/PII:S221329021300028X?httpAccept=text/xml, https://api.elsevier.com/content/article/PII:S221329021300028X?httpAccept=text/plain
Case Studies in Thermal Engineering10.1016/j.csite.2018.03.00620181285-93Forecasting the heating and cooling load of residential buildings by using a learning algorithm “gradient descent”, MoroccoAlaoui Sosse Jihad, Mohamed Tahirihttps://api.elsevier.com/content/article/PII:S2214157X17302459?httpAccept=text/xml, https://api.elsevier.com/content/article/PII:S2214157X17302459?httpAccept=text/plain
Geotechnical and Geological Engineering10.1007/s10706-015-9893-520153351167-1182GPR Data Analysis of Weak Signals Using Modified S-TransformSilky Agrawal, Nithin V. George, Amit Prashanthttp://link.springer.com/content/pdf/10.1007/s10706-015-9893-5.pdf, http://link.springer.com/article/10.1007/s10706-015-9893-5/fulltext.html, http://link.springer.com/content/pdf/10.1007/s10706-015-9893-5
Sensors10.3390/s1512298012015151230340-30350Identification of Buried Objects in GPR Using Amplitude Modulated Signals Extracted from Multiresolution Monogenic Signal AnalysisLihong Qiao, Yao Qin, Xiaozhen Ren, Qifu Wanghttp://www.mdpi.com/1424-8220/15/12/29801/pdf
Pure and Applied Geophysics10.1007/s00024-017-1752-2201717531103-1122Quantitative Analysis of GPR Signals: Transmitted Wavelet, Amplitude Decay, and Sampling-Related Amplitude DistortionsM. Dossi, Emanuele Forte, M. Pipanhttp://link.springer.com/article/10.1007/s00024-017-1752-2/fulltext.html, http://link.springer.com/content/pdf/10.1007/s00024-017-1752-2.pdf, http://link.springer.com/content/pdf/10.1007/s00024-017-1752-2.pdf