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A review of machine learning techniques in agroclimatic studies
The interplay of machine learning (ML) and deep learning (DL) within the agroclimatic
domain is pivotal for addressing the multifaceted challenges posed by climate change on …
domain is pivotal for addressing the multifaceted challenges posed by climate change on …
Efficacy of automated machine learning models and feature engineering for diagnosis of equivocal appendicitis using clinical and computed tomography findings
J An, IS Kim, KJ Kim, JH Park, H Kang, HJ Kim… - Scientific Reports, 2024 - nature.com
This study evaluates the diagnostic efficacy of automated machine learning (AutoGluon) with
automated feature engineering and selection (autofeat), focusing on clinical manifestations …
automated feature engineering and selection (autofeat), focusing on clinical manifestations …
[PDF][PDF] REVERSE ENGINEERING: TECHNIQUES, APPLICATIONS, CHALLENGES, OPPORTUNITIES
This paper aims to provide a comprehensive overview of reverse engineering, discussing its
various techniques, applications, challenges, and opportunities. By exploring these aspects …
various techniques, applications, challenges, and opportunities. By exploring these aspects …
[ΑΝΑΦΟΡΑ][C] Juho An, Il Seok Kim 2, 8, Kwang‑Ju Kim 3, Ji Hyun Park 4, Hyuncheol Kang 5, Hyuk Jung Kim 6
YS Kim, JH Ahn - Scientific Reports, 2024