PENGEMBANGAN E-MODUL BERBASIS ADOBE FLASH CS6 PADA MATA PELAJARAN PENATAAN BARANG DAGANG


Scheduling Algorithms for a Hybrid Flow Shop under Uncertainty

In modern production systems, scheduling problems have to be solved in consideration of frequently changing demands and varying production parameters.This paper presents a approach combining forecasting and classification techniques to predict uncertainty from demands, and production data with heuristics, metaheuristics, and discrete event simulati

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Improvement of Inter-Professional Collaborative Work Abilities in Mexican Medical and Nursing Students: A Longitudinal Study

Background: Inter-professional and interpersonal relationships in collaborative work environments can prove to be critical elements in healthcare practice.When implementers fail to understand the importance of a collaborative perspective, this can lead to communication problems which ultimately harm the users.Objectives: To improve the inter-profes

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Deep Reinforcement Learning for UAV Intelligent Mission Planning

Rapid and precise air operation mission planning is Wrist Support a key technology in unmanned aerial vehicles (UAVs) autonomous combat in battles.In this paper, an end-to-end UAV intelligent mission planning method based on deep reinforcement learning (DRL) is proposed to solve the shortcomings of the traditional intelligent optimization algorithm

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