MACHINE LEARNING-BASED FOREST TYPE MAPPING FROM MULTI-TEMPORAL REMOTE SENSING DATA: PERFORMANCE AND COMPARATIVE ANALYSIS

Machine Learning-Based Forest Type Mapping from Multi-Temporal Remote Sensing Data: Performance and Comparative Analysis

This paper presents a meticulous exploration of advanced machine learning techniques for precise forest type classification using multi-temporal remote sensing data within a woodland environment.The study comprehensively evaluates a diverse range of models, ranging from advanced Frame Support (ensemble) machine learning (ML) methods to several fine

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Bilateral single-system ectopic ureters: a case report

Abstract Introduction While 20% of ectopic ureters are bilateral, bilateral single-system ectopic ureters constitute a rare occurrence.They present as continuous incontinence in females owing to the ectopic ureteral openings being located outside the bladder.Managing bilateral single-system ectopic ureters can be challenging owing to the reduced bl

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Effectiveness of interventions designed to mitigate the negative health outcomes of informal caregiving to older adults: an umbrella review of systematic reviews and meta-analyses

Objectives This umbrella review aimed to evaluate whether certain interventions can mitigate the negative health consequences of caregiving, which interventions are more effective than others depending on the circumstances, and how these interventions are experienced by caregivers themselves.Design An umbrella review of systematic reviews was condu

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Isolation, Genomic Analysis, and Preliminary Application of a Bovine Klebsiella pneumoniae Bacteriophage vB_Kpn_B01

Klebsiella pneumoniae Frame Support is an important pathogen that can infect both humans and cattle.The widespread K.pneumoniae and its high drug resistance make it difficult to treat Klebsiella infections/diseases.In this study, a lytic K.pneumoniae bacteriophage vB_Kpn_B01 was isolated from a dairy farm trough in Sichuan Province, and its biologi

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Role of the Combination of Cyclin-Dependent Kinase Inhibitors (CDKI) and Radiotherapy (RT) in the Treatment of Metastatic Breast Cancer (MBC): Advantages and Risks in Clinical Practice

Targeting cell cycle has become the gold standard for metastatic breast cancer (MBC), being cyclin-dependent kinase inhibitors (CDKIs) cornerstones of its treatment, alongside radiotherapy (RT).To date, no definite evidence regarding safety and efficacy of the combination of CDKIs plus radiotherapy (RT) is currently available.Purpose of this review

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