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Adaptive deep neural network using genetics algorithms for solving linear and non-linear ordinary differential equations 利用遗传算法求解线性和非线性常微分方程的自适应深度神经网络
Pratama A. Danang, M. Bakar
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引用次数: 1
Linear and nonlinear panel ARDL models in examining the purchasing power parity theory 检验购买力平价理论的线性和非线性面板ARDL模型
N. M. Choji, S. Sek
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引用次数: 0
Machine learning-based dengue forecasting system for Irisan, Baguio city, Philippines 基于机器学习的菲律宾碧瑶市伊里桑登革热预测系统
Zanya Reubenne D. Omadlao, Johanna Marie A. Cabrales, Samuel Christian M. Cristobal, Margaret Vianey A. Dee, Jim Reinier V. Tadeo, Joseph Ludwin D. C. Marigmen, Romsto R. Pajarillo
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引用次数: 0
A knapsack optimization model for food basket during Covid-19 lockdown: A case study in Taman Semarak Tawau 新冠肺炎封城期间食品篮背包优化模型——以士马拉末斗湖为例
Zurasmira Hasanodin, Norazura Ahmad
The Malaysian government has implemented various strategies to break the chain of COVID-19-in the society, such as the implementation of enhanced movement control order (EMCO) in the red areas. To support the implementation of the government's strategy, food distribution to all families in the affected areas must be provided. In this paper, we demonstrate how the binary knapsack model can be utilized to help a non-governmental organization (NGO) in Tawau selects the food items to be filled in the food basket with maximum budget of RM100. A binary integer programming model that maximize the total weight of the food basket is developed and solved using Lingo 12.0. Two models were developed;i) the first model was developed solely based on the budget restriction, ii) the second model add in special condition as proposed by the NGO team. The first model produces optimal solution where the NGO team can prepare a basket of 31 kilograms with total cost of RM93. On the other hand, the second model provide a food basket with a higher cost of RM98 but the total weight remain unchanged. The knapsack approach used in this study may be useful for other organizations in decision making for item selection. © 2022 Author(s).
马来西亚政府在红色区域实施了加强行动管制令(EMCO)等,在社会上实施了打破新冠病毒链条的各种战略。为了支持政府战略的实施,必须向受灾地区的所有家庭分发食品。在本文中,我们展示了如何利用二元背包模型来帮助一个非政府组织(NGO)在Tawau选择食品项目,以RM100的最大预算填入食品篮子。建立了食品篮总重量最大化的二进制整数规划模型,并利用Lingo 12.0进行了求解。开发了两种模型,第一种模型是完全基于预算限制开发的,第二种模型是根据NGO团队提出的特殊条件添加的。第一个模型产生最优解决方案,非政府组织团队可以准备一个31公斤的篮子,总成本为RM93。另一方面,第二种模式提供了一个食品篮子,价格较高,为RM98,但总重量保持不变。本研究中所使用的背包方法,可能对其他组织的项目选择决策有用。©2022作者。
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引用次数: 0
Assessment of aquatic toxicology dataset using MLR 利用MLR评估水生毒理学数据集
Azura Mat Yusof, S. A. Kamaruddin, N. Nasir, I. Zakarya
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引用次数: 0
Generic system dynamics model of zakat collection and microtakaful contribution for poor and needy asnaf category 穷人和有需要者的天课收集和微天课捐助的一般系统动力学模型
Arwin Idham Mohamad, Jafri Zulkepli, N. Z. Abidin
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引用次数: 0
Measuring rice farmers efficiency under deterministic and uncertainty situations: An enhanced slack-based DEA model 确定性与不确定性条件下水稻农户效率的测度:一个改进的基于松弛的DEA模型
Sahubar Ali Mohamed Nadhar Khan, Razamin Ramli, Md. Azizul Baten, Ruzelan Khalid
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引用次数: 0
Panel data methods that account for cross-sectional dependence in investigating the long-run theory of purchasing power parity for 16 developed countries 在调查16个发达国家的长期购买力平价理论时,考虑到横断面依赖性的面板数据方法
N. M. Choji, S. Sek
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引用次数: 0
Climate-Resilient agri-fisheries (CRA) assessment, targeting & prioritization for the adaptation and mitigation initiative for tarlac province tarlac省气候适应型农业-渔业(CRA)评估、目标确定和优先排序
Lilibeth B. Laranang, Ermalyn D. Galo, Orlando H. Locading
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引用次数: 0
Analysing the unsold housing stock problem using system dynamics approach 用系统动力学方法分析待售房屋存量问题
Nurul Nazihah Hawari, Nur Nazifa Binti Rozari
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引用次数: 2
期刊
The 5th Innovation and Analytics Conference & Exhibition (IACE 2021)
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