Soft measurement based on data-driven models is widely used to predict key variables in process industry due to low cost and real-time capability. However, these models struggle with noisy datasets ...
A woman viewing a car for purchase at a Proton showroom in Jalan 223, Petaling Jaya. — AZHAR MAHFOF/The Star KUALA LUMPUR: The Hire-Purchase (Amendment) Act 2026 (HPAA) continues to allow ...
Explainable machine learning (ML) is important for biosignature prediction on future astrobiology missions to minimize the risk of false positives due to geochemical biotic mimicry and false negatives ...
I've encountered some potentially problematic patterns in our codebase regarding Python class and instance variable declarations. Specifically, I'm concerned about the pattern where a class-level type ...
Instance main methods and unnamed classes, coming in Java 21, will forever change how developers learn Java and bootstrap applications. Why? They provide a simple, clean and concise syntax to launch ...
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ABSTRACT: This paper introduces a new evolutionary system which is uniquely suitable for the description of nonconservative systems in field theories, including quantum mechanics, but is not limited ...
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