A DECISION RULE AND MACHINE LEARNING-BASED HYBRID APPROACH FOR AUTOMATED LAND-COVER TYPE LOCAL CLIMATE ZONES (LCZS) MAPPING USING MULTI-SOURCE REMOTE SENSING DATA

A Decision Rule and Machine Learning-Based Hybrid Approach for Automated Land-Cover Type Local Climate Zones (LCZs) Mapping Using Multi-Source Remote Sensing Data

This article presents a streamlined, automated classification method to map land-cover-type local climate zones (LCZs).Using a two-phase hybrid approach, we first generated training samples through universal decision rules and subsequently, a machine learning (ML) algorithm was trained on the generated samples to classify LCZs.The proposed model ha

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Single-cavity dual-comb fiber lasers and their applications

Single-cavity, dual-comb lasers are those specially designed mode-locked lasers that can emit more than Gift Card one, asynchronous ultrashort pulse trains with stable repetition frequency difference between them.Unlike the long-studied, widely-used femtosecond lasers generating one stable pulse train, systematic investigation on them and their pot

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A Real-World Study of Dexamethasone Implant in Treatment-Naïve Patients with Diabetic Macular Edema: Efficacy and Correlation Between Inflammatory Biomarkers and Treatment Outcome

Maria Vadalà,1,2 Valentina Sunseri Trapani,1 Giulia Guarrasi,1 Nicasio Ventura,1 Massimo Castellucci,1 Salvatore Cillino1 1Biomedicine, Neuroscience and Advanced Diagnostic Department, University of Palermo, Palermo, Italy; 2IEMEST, Euro-Mediterranean Institute of Science and Technology, Palermo, ItalyCorrespondence: Maria VadalàBiome

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