{"count":98418,"next":"https://eartharxiv.org/api/keywords/?format=json&limit=100&offset=51300","previous":"https://eartharxiv.org/api/keywords/?format=json&limit=100&offset=51100","results":[{"word":"Pekeris wave"},{"word":"Volcano infrasound"},{"word":"APP"},{"word":"Foundations of Emergency Medicine"},{"word":"FoEM"},{"word":"driftwood"},{"word":"dam removal"},{"word":"landscape change"},{"word":"treefrog"},{"word":" environmental heterogeneity"},{"word":" G-matrix"},{"word":" wing shape"},{"word":"wing shape"},{"word":"honest signalling hypothesis"},{"word":"male quality"},{"word":"statistical artefact"},{"word":"choice chamber"},{"word":" conscious sedation"},{"word":" NPO"},{"word":"Subglacial"},{"word":"Precipitates"},{"word":"Deep Sea Mining"},{"word":"Dark Oxygen"},{"word":"Nodules"},{"word":"Marine Minerals"},{"word":"CO2 Leakage"},{"word":"Vertical Equilibrium Modelling"},{"word":"MRST"},{"word":"meiotic drive"},{"word":"pteridophytes"},{"word":"homosporous"},{"word":"heterosporous"},{"word":"chromosome number"},{"word":"genome size"},{"word":"whole genome duplicaiton"},{"word":"diploidization"},{"word":"residual shear strength"},{"word":"thermo-mechanical coupling"},{"word":"slope stability"},{"word":"This paper presents a comparative analysis of tra- ditional machine learning methods and Convolutional Neural Networks (CNNs) for hyperspectral image classification. Utilizing the Indian Pines dataset"},{"word":" we explore the efficacy of Principal Component Analysis (PCA) combined with a Support Vector Machine (SVM) classifier against a deep learning approach involving CNNs. Our methodology includes dimensi"},{"word":" followed by SVM classification"},{"word":" and the design of a tailored CNN model for hyperspectral data. Performance metrics like accuracy"},{"word":" supported with confusion matrices and classification maps"},{"word":" are employed to evaluate and compare the models. Results indicate that CNNs"},{"word":" with their ability to capture spatial and spectral information"},{"word":" outperform traditional methods in classification accuracy and robustness."},{"word":"Convolutional Neural Network (CNN)"},{"word":"Principal Component Analysis (PCA)"},{"word":"Support Vector Machine (SVM) classifier"},{"word":"Name-bearing types"},{"word":"ichthyology collections"},{"word":"biological variation"},{"word":" QTc and QRS intervals"},{"word":" clinical toxicology"},{"word":"racial resentment"},{"word":" juror decision-making"},{"word":" expectation states theory"},{"word":" verdict-rendering"},{"word":" bycatch"},{"word":" penaeid"},{"word":" spatial management"},{"word":"bycatch"},{"word":"spatial management"},{"word":"Wind Speed"},{"word":" Forest Ecosystem"},{"word":" Forest Types"},{"word":"deformation mechanism"},{"word":" taphonomy"},{"word":" taxonomy"},{"word":"Rhytidosteid"},{"word":"bounce back"},{"word":"overutilization"},{"word":"Jail"},{"word":"Custody"},{"word":"intern mental health"},{"word":" structures burned"},{"word":" wildfire smoke"},{"word":" public health"},{"word":" chemical exposure"},{"word":"Emergent causes of flank pain"},{"word":"Mars Ascent Vehicle"},{"word":"MAV"},{"word":"atraumatic renal hemorrhage"},{"word":" tibia"},{"word":"geothermal plume"},{"word":" volcano"},{"word":" mid-ocean ridge"},{"word":" trench"},{"word":" Scotia Sea mechanism."},{"word":"geothermal source"},{"word":"Scotia Sea mechanism"},{"word":"Chicxulub impact event"},{"word":"Sulfur isotope"},{"word":"Dreams"},{"word":"women's law"},{"word":"Sperm donation"},{"word":"Citizens United"},{"word":"Public/private divide"},{"word":"Fetal Pain Laws"}]}