Traditional path planning algorithms often face problems such as local optimum traps and low monitoring efficiency in agricultural UAV operations, making it difficult to meet the operational ...

New hifiasm-ONT assembly method delivers high-quality, cost-efficient near T2T assemblies using standard Oxford Nanopore Simplex reads, broadening access to comprehensive genome assemblies across ...

ABSTRACT: This paper deals with linear programming techniques and their application in optimizing lecture rooms in an institution. This linear programming formulated based on the available secondary ...

Instead of defaulting to the notifications on my phone, poetry has inspired me to begin the day in a different way. By Charley Locke Most mornings, as soon as I wake up, I feel the pull of my phone.

A new approach to the local and global explanation based on selecting a convex hull constructed for the finite number of points around an explained instance is proposed. The convex hull allows us to ...

AI-powered algorithm can analyze video recordings of clinical sleep tests and more accurately diagnose REM sleep behavior disorder. A Mount Sinai-led team of researchers has enhanced an artificial ...

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Abstract: The shuffled frog leaping algorithm is easily sunk into local optimum and not enough accurate when optimizing the problem of some higher dimensional functions. In view of these shortcomings, ...