A Demand Forecasting Model Leveraging Machine Learning to Decode Customer Preferences for New Fashion Products by S. Anitha, R. Neelakandan

“…Accurate demand forecasting requires a thorough understanding of consumer preferences. …”
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Product Replacement Policy in a Production Inventory Model with Replacement Period-, Stock-, and Price-Dependent Demand by Subhajit Das, Amalesh Kumar Manna, Emad E. Mahmoud, Kholod M. Abualnaja, Abdel-Haleem Abdel-Aty, Ali Akbar Shaikh

“…This work also leads two vital assumptions: (i) customers’ demand is depending on the replacement period, stock level, and selling price of the product and (ii) the rate of replacement loss of manufacturer’s capital is dependent on the replacement period, and it is a nonlinear function. …”
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NIR-activated catechol-functionalized nanodiamond nanofibers for accelerating on-demand MRSA and E. coli biofilm eradication by Hyeonseo Park, Tejal V. Patil, Jieun Lee, Hojin Kim, Seong-Jun Cho, Ki-Taek Lim

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Identifying the Service Areas and Travel Demand of the Commuter Customized Bus Based on Mobile Phone Signaling Data by Jingyuan Wang, Meng Zhang

“…At present, customized bus travel demand information collection method is passive. There exist disadvantages such as the amount of information obtained is less, the access method is relatively single, and more potential travel demands cannot be met. …”
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Analysis of 3D Cobweb Economic Differential Dynamic System Based on Supply-Demand and Price Relationships by Debao Gao

“…When the supply and demand of commodities are out of equilibrium, the dynamic changes in supply and demand are mainly manifested in the dynamic fluctuation of commodity prices and the change of price will drive the change of supply and demand. …”
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On-demand prediction of low-frequency average sound absorption coefficient of underwater coating using machine learning by Nansha Gao, Mou Wang, Xiao Liang, Guang Pan

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An Optimization Method of Multiclass Price Railway Passenger Transport Ticket Allocation under High Passenger Demand by Bin Wang, Shaoquan Ni, Fucai Jin, Zixu Huang

“…Here, we propose an optimization method of multiclass price railway passenger transport ticket allocation under high passenger demand. First, for the “censored data” problem in the railway passenger demand forecast, we constructed an unconstrained model of railway passenger demand and solved the unconstrained demand through an expectation-maximization algorithm. …”
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Tesis doctoral: Smart Tourism Destinations: A Demand-based Approach for Improving Local Tourism Management by Francisco Femenia Serra

“…Smart Tourism Destinations: A Demand-based Approach for Improving Local Tourism Management. …”
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Study on Sensitivity of Uncertainty Factors in Seismic Demand Analysis of Continuous Girder Bridges with Seismic Isolation Design by Ruotong Wang, Meng Liu, Junjie Wang

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From quantitative measurement to understanding public demand: Exploring non-survey methods in applied regional research by K. Ye. Petrov, E. N. Minchenko, V. S. Lapin

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An ensemble deep learning framework for energy demand forecasting using genetic algorithm-based feature selection by Mohd Sakib, Tamanna Siddiqui, Suhel Mustajab, Reemiah Muneer Alotaibi, Nouf Mohammad Alshareef, Mohammad Zunnun Khan

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Gestion de la demande en eau en Méditerranée : réflexions sur la dimension communication by Emmanuelle Giry, Elise Kikudji, Nicolas Touache, Patrice Burger

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Healthy Foods as Proxy for Functional Foods: Consumers’ Awareness, Perception, and Demand for Natural Functional Foods in Pakistan by Akhter Ali, Dil Bahadur Rahut

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Computing a Many-to-Many Matching with Demands and Capacities between Two Sets Using the Hungarian Algorithm by Fatemeh Rajabi-Alni, Alireza Bagheri

“…A general case of the MM is the many-to-many matching with demands and capacities (MMDC) satisfying given lower and upper bounds on the number of elements matched to each element. …”
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An Approximation Solution to Refinery Crude Oil Scheduling Problem with Demand Uncertainty Using Joint Constrained Programming by Qianqian Duan, Genke Yang, Guanglin Xu, Changchun Pan

“…This paper is devoted to develop an approximation method for scheduling refinery crude oil operations by taking into consideration the demand uncertainty. In the stochastic model the demand uncertainty is modeled as random variables which follow a joint multivariate distribution with a specific correlation structure. …”
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Study on the matching scheme between early warning information dissemination demands and communication network dissemination channels by Jingli WANG, Yu ZHAO

“…Early warning information dissemination capacity is insufficient in timeliness, accuracy and wide coverage compared with the national emergency management system requirements.The dissemination demands were analyzed from early warning information receivers, emergency degree, receiving area and other factors.The early warning information transmission channels were extended to including cell broadcasting, Tiantong satellite and other communication networks.Then these channels were compared in the aspects of timeliness, accuracy, coverage and cost.For emergency responders and the public, according to typical scenarios, the matching scheme of early warning information communication channel selection was proposed, which laid a foundation for the optimization of communication channel.…”
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Drop-on-demand printing of amine-responsive fluorescence-ratiometric sensor array for online monitoring meat freshness by Zhijian Wang, Xudong Shi, Jingze Guo, Lin Wang, Meilin Cao, Shiyao Wang, Yisheng Chen

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A Novel Approach to Supply the Water Reservoir Demand Based on a Hybrid Whale Optimization Algorithm by Alireza Donyaii, Amirpouya Sarraf, Hassan Ahmadi

“…Additionally, the average water demand and discharge volume of IWOA were 3.21 × 106 m3 and 3.03 × 106 m3, respectively. …”
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Optimal Solar‐Biomass‐Diesel‐Generator Hybrid Energy for Water Pumping System Considering Demand Response by Olumuyiwa Taiwo Amusan, Nnamdi Ikechi Nwulu, Saheed Lekan Gbadamosi

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Mathematical Modelling of B2C Consumer Product Supply Strategy Based on Nonessential Demand Pattern by Zhiyi Zhuo, Shuhong Chen, Hong Yan

“…On the basis of analyzing and sorting out the literature and viewpoints, this paper establishes a mathematical model to investigate how manufacturers design and plan product supply strategies based on nonessential demand patterns under three different sales models. …”
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