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18篇 您的检索式：作者名="Manuj"
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    题名 作者 年代 出处 被引量
1Global supply chain risk management 显示文摘MANUJ I MEN'IZER J T 2008Journal of Business Logistics2008，29，1：1
2Global Supply Chain Risk Management显示文摘Manuj I Mentzer J.T 0，，01：1
3Global supply chain risk manage- ment strategies 显示文摘Manuj 1 Mentzer J T 2008International Journal o{ Physical Distribution & Logistics Management2008，38，3：1
4Global supply chain risk manage- ment显示文摘Manuj I Mentzer T 2008Journal of Business Logistics2008，29，1：1
5Global supply chain risk management strategies 显示文摘Ila Manuj 2008International Journal of Physical Distribution & Logistics Management2008，，3：1
6Un- known input modeling and robust fault diagnosis using black box observers显示文摘MANUJ A S NARASIMHAN S PATWARDHAN S C 2009Journal of Process Control2009，19，1：1
7A model of supply chain and supplychain decision-making complexity 显示文摘Ila Manuj Funda Sahin 2011Intemational Journal ofPhysical Distribution & Logistics Management2011，41，5：1
8Global supply chain risk management显示文摘Manuj I Mentzer J T 2008Journal of Business Logistics2008，29，1：1
9Global supply chain risk management strategies显示文摘Ila Manuj John T Mentzer 2008International Journal of Physical Distribution & Logistics Management2008，38，3：1
10Global supply chain risk man- agement strategies 显示文摘MANUJ I MENTZER J T 2008International Journal of Physical Distribution & Logistics Management2008，38，3：1
11Global supply chain risk management strategies显示文摘Manuj Ila Mentzer John T 2008International Journal of Physical Distribution & Logistics Management2008，38，34：1
12Unknown input modeling and robust fault diagnosis using black box observers显示文摘MANUJ A S NARASIMHAN S PATWARDHAN S C 2009Journal of Process Control2009，19，1：1
13Global supply chain risk management strategies显示文摘Manuj I Mentzer J.T 0，，03：1
14Hardware/software codesign to optimize SoC device battery life显示文摘Metri Grace Sabharwal Manuj Iyer Sundar 2013Computer2013，46，10：1
15Global supply chain risk management 显示文摘Manuj I Mentzer J T 2008Journal of Business Logistics2008，29，1：1
16Co-creating Logistics Value:A Service-dominant Logic Perspective 显示文摘YAZDANPARAST A MANUJ I SWARTZ S M 2010The International Journal of Logistics Management2010，21，3：1
17Application of Fuzzy Automata Theory and Knowledge Based Neural Networks for Development of Basic Learning Model显示文摘Manuj Darbari Hasan Ahmed Vivek Kr. Singh 2011Computer Technology and Application2011，2，1：0
18Reaction order and neural network approaches for the simulation of COVID-19 spreading kinetic in India显示文摘COVID-19 has created a pandemic situation in the whole world.Controlling of COVID-19 spreading rate in the social environment is a challenge for all individuals.In the present study,simulation of the lockdown effect on the COVID-19 spreading rate in India and mapping of its recovery percentage(until May 2020)were investigated.Investigation of the lockdown impact dependent on first order reaction kinetics demonstrated higher effect of lockdown 1 on controlling the COVID-19 spreading rate when contrasted with lockdown 2 and 3.Although decreasing trend was followed for the reaction rate constant of different lockdown stages,the distinction between the lockdown 2 and 3 was minimal.Mathematical and feed forward neural network(FFNN)approaches were applied for the simulation of COVID-19 spreading rate.In case of mathematical approach,exponential model indicated adequate performance for the prediction of the spreading rate behavior.For the FFNN based modeling,1-5-1 was selected as the best architecture so as to predict adequate spreading rate for all the cases.The architecture also showed effective performance in order to forecast number of cases for next 14 days.The recovery percentage was modeled as a function of number of days with the assistance of polynomial fitting.Therefore,the investigation recommends proper social distancing and efficient management of corona virus in order to achieve higher decreasing trend of reaction rate constant and required recovery percentage for the stabilization of India.Sourav Chakraborty Arun Kumar Choudhary Mausumi Sarma Manuj Kumar Hazarika 2020Infectious Disease Modelling2020，5，1：0
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