Precise underwater navigation is critical for autonomous and remotely operated deep-sea vehicles, yet variations in seawater ...

Abstract: The recursive least-squares (RLS) algorithm is very popular for adaptive filtering applications, mainly due to its fast convergence rate. The regularized version of this algorithm owns ...

AI companies such as OpenAI and Anthropic have long focused on building tools that can write code that will speed up software ...

Abstract: In this paper, recursive least-squares linear estimation algorithms are proposed for stochastic systems influenced by uniform quantization, random access protocol (RAP) and deception attacks ...

Learn how the Least Squares Criterion determines the line of best fit for data analysis, enhancing predictive accuracy in finance, economics, and investing.

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Insights from data and ML algorithms can be invaluable, but be warned — mistakes can be irreversible. These recent high-profile AI blunders illustrate the damage done when things don’t go according to ...

This important study demonstrates the significance of incorporating biological constraints in training neural networks to develop models that make accurate predictions under novel conditions. By ...

All the UVA Problems I have solved up to date. Mostly C++ unless otherwise stated. BFS, DPS, Flood Fill, Dijakstra's Algorithm, Shortest Path, Heron's Role, Dynamic Programming, Recursion, Longest ...