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"word": "Pekeris wave"
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"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"
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"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"
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"word": " and the design of a tailored CNN model for hyperspectral data. Performance metrics like accuracy"
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"word": "Wind Speed"
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"word": "Emergent causes of flank pain"
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{
"word": "Mars Ascent Vehicle"
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{
"word": "atraumatic renal hemorrhage"
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"word": " volcano"
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"word": " mid-ocean ridge"
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"word": " trench"
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{
"word": " Scotia Sea mechanism."
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"word": "geothermal source"
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"word": "Scotia Sea mechanism"
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"word": "Sulfur isotope"
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