Department of Chemical Engineering, Indian Institute of Technology Delhi, Hauz Khas, New Delhi 110016, India Indian Institute of Technology Delhi-Abu Dhabi, Khalifa City B 20010, Abu Dhabi, UAE ...

High-dimensional data often contain noisy and redundant features, posing challenges for accurate and efficient feature selection. To address this, a dynamic multitask learning framework is proposed, ...

This study develops a unified framework for optimal portfolio selection in jump–uncertain stochastic markets, contributing both theoretical foundations and computational insights. We establish the ...

Abstract: A dynamic programming algorithm is applied to the genetic algorithm feature selection program to reduce the training time. After each generation, an accuracy score of each genome in a ...

I would like to propose the creation of a new section on Dynamic Dynamic Programming (DDP). This advanced technique is crucial for solving tree problems where the tree structure or node values are ...

Abstract: This study proposes a disaster rescue path optimization algorithm integrating dynamic programming and priority queue, and analyzes the impact of this algorithm on rescue efficiency under ...

This repo is an open source collection and playground of algorithms, data structures, coding exercises and related documentation to brush up your knowledge of computer science fundamentals.

Glucopilot dynamic dosing algorithm improved glycemia management, especially among patients with diabetic ketoacidosis, sepsis, and steroid use. SAN FRANCISCO — Using patient-specific data, the ...

Credit: Getty Images Researchers conducted a retrospective analysis to assess hypoglycemia rates among patients receiving IV insulin through a dynamic dosing algorithm. Glucopilot dynamic dosing ...

Healthcare provider experiences in managing antibody-drug conjugate dosing adjustments due to nausea and vomiting: SABCS and ESMO survey findings. Effcacy and safety results of a multi-center phase ...