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Introduction Never before in human history has a small minority wielded this degree of control over the lives of the majority ...
Abstract: This paper presents a comparative performance analysis of various trend detection methods developed using fuzzy logic, statistical, regression, and wavelet techniques. The main contribution ...
Spread the love“`html The social media landscape is shifting dramatically, especially as platforms strive to keep up with user demands. Instagram, in particular, is testing new features that allow ...
Abstract: Clustering algorithms have emerged as an alternative powerful meta-learning tool to accurately analyze the massive volume of data generated by modern applications. In particular, their main ...
Spread the love“`html Nagle’s algorithm is a well-known feature within the TCP protocol designed to optimize network efficiency. However, in certain scenarios, especially in high-performance computing ...
Introduction Efficient preventive management of acute exacerbation of chronic obstructive pulmonary disease (COPD) is ...
Read together, the books form an intergenerational dialogue that moves from diagnosing a historical rupture to examining the ...
Objective SLE is a heterogeneous systemic autoimmune disease with diverse clinical manifestations. We aimed to identify ...
Aim To implement a deep learning-based segmentation algorithm to quantify reticular pseudodrusen (RPD) and drusen volumes on optical coherence tomography (OCT) and investigate their association with ...