Recursive Neural Network-Based Market Demand Forecasting Algorithm for Calligraphy Practice Products by Yi Xue

“…In particular, in recent years, as the market economy has developed in a deeper direction, people’s demand for calligraphy practice products has diversified and calligraphy practice product companies have launched a variety of products to meet the public’s calligraphy practice needs in order to adapt to the reality of consumer demand. …”
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A Green Demand-Responsive Airport Shuttle Service Problem with Time-Varying Speeds by Ming Wei, Binbin Jing, Jian Yin, Yang Zang

“…This study proposes a multiobjective mixed integer linear programming (MOMILP) model for a demand-responsive airport shuttle service. The approach aims to assign a set of alternative fuel vehicles (AFVs) located at different depots to visit each demand point within the specified time and transport all of them to the airport. …”
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High‐Precision Drop‐on‐Demand Printing of Charged Droplets on Nonplanar Surfaces with Machine Learning by Shaheer Mohiuddin Khalil, Shahzaib Ali, Vu Dat Nguyen, Dae‐Hyun Cho, Doyoung Byun

Subjects: “…drop on demand…”
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Post-Recession Recovery in US Air Transport: Forecasting with a Temporal Causal Model by Maja Ozmec-Ban, Ružica Škurla Babić, Vladimir Vasić, Dajana Bartulović

Subjects: “…air transport demand…”
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Feasibility study of IPTV video-on-demand system with setbox-participated P2P distribution by Xiu-yan JIANG, Yin-shu PU, Yuan LIU, Xin LIU, De-jian YE

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Integration of innovation development and implementation processes in defence industry according to a demand — supply format by A. I. Shinkevich, D. V. Kharitonov

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Forecasting Alisadr Cave Tourism Demand using Combination of Short-term and Long-term Forecasts by Elaheh Malekzadeh Hamedani, Marjan Kaedi, Zahra Zojaji

Subjects: “…demand forecasting…”
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Hotel demand forecasting models and methods using artificial intelligence: A systematic literature review by Henrique Henriques, Luis Nobre Pereirsa

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Dynamic Simulation of the Supply and Demand of Ecosystem Windbreak and Sand Fixation Service in the Wuding River Basin by Xuanchen Xiong, Zixiang Zhou, Xiaofeng Wang, Jing Li

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Ready-to-eat mango and peanut bar as a value-added alternative for producers and market demand by Dominique Moreno-Ayala, María Dolores Muy-Rangel, José Basilio Heredia, Diego Alonso Gastelum-Chavira, Josefina León-Félix, Octavio Valdez Lafarga, José Benigno Valdez-Torres

“…In the search for added value for mango and peanut production in the state of Sinaloa, México; as well as the fulfillment of market demand for nutritious, easy-to-handle, and sensorial attractive foods, a study was conducted to optimize the preparation of a mango bar with walnuts under different processing conditions and ingredient mixtures, using Ataulfo mango pulp as the base material. …”
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The experience of mothers of autistic children with a pathological demand avoidance profile: an interpretative phenomenological analysis by Sam Curtis, Elizabeth Izett

Subjects: “…Pathological Demand Avoidance…”
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Cost estimation method of IT project based on revised demand get from weighted relational grade by Fang FANG, Zhihua JIN, Yi ZHANG, Hao HAN

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Estimation of Biochemical Oxygen Demand Based on Dissolved Organic Carbon, UV Absorption, and Fluorescence Measurements by Jihyun Kwak, Bumju Khang, Eunhee Kim, Hyunook Kim

“…Determination of 5-d biochemical oxygen demand (BOD5) is the most commonly practiced test to assess the water quality of surface waters and the waste loading. …”
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Sparse and Dense Mixed Grid Transit Accessible Network Based on Uneven Distribution of Travel Demand by Chen Guo, Jianjun Wang, Yueying Huo, Meiying Jian

“…The uneven distribution of travel demand is incredibly commonplace in cities, but insufficient attention has been paid to this problem. …”
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Technoeconomic Conservation Voltage Reduction–Based Demand Response Approach to Control Distributed Power Networks by Shahram Pourfarzin, Tahere Daemi, Hamidreza Akbari

“…This manuscript investigates the transformative shift in electricity generation and distribution towards distributed power networks, particularly microgrids, amid escalating energy demand and environmental concerns. Emphasizing a pioneering technoeconomic conservation voltage reduction–based demand response approach, the study integrates conservation voltage reduction as a controllable demand response method within distributed power networks, highlighting the developed droop control method for effective regulation. …”
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Pengaruh Job Demands-Resources terhadap Employee Engagement pada Karyawan Work from Home by Abiyyu Dizar Duagantara

Subjects: “…demands…”
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A Short-Term Load Forecasting Model of LSTM Neural Network considering Demand Response by Xifeng Guo, Qiannan Zhao, Shoujin Wang, Dan Shan, Wei Gong

“…As one of the key technologies for accelerating the construction of the ubiquitous Internet of Things, demand response (DR) not only guides users to participate in power market operations but also increases the randomness of grid operations and the difficulty of load forecasting. …”
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Cumulative Energy Demand and Greenhouse Gas Emissions from Potato and Tomato Production in Southeast Brazil by Breno de Jesus Pereira, Newton La Scala, Arthur Bernardes Cecílio Filho

“…The aim of this study was to estimate the cumulative energy demand (CED), greenhouse gas (GHG) emissions and carbon footprint in industrial potato and tomato production systems in the Southeast region of Brazil, identifying mitigation strategies in different scenarios. …”
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Soybean Water Monitoring and Water Demand Prediction in Arid Region Based on UAV Multispectral Data by Shujie Jia, Mingyi Cui, Lei Chen, Shangyuan Guo, Hui Zhang, Zheyu Bai, Yaoyu Li, Linqiang Deng, Fuzhong Li, Wuping Zhang

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Demand-Driven Resilient Control for Generation Unit of Local Power Plant Under Unreliable Communication by Guizhou Cao, Dawei Xia, Bokang Liu, Kai Meng, Zhenlong Wu, Yuan-Cheng Sun

“…Based on the GU model of voltage and current at the point of common coupling, a demand-driven network communication protocol is proposed to decrease the number of scheduling signal transmissions, and an observer-based prediction method is provided to replenish the lack of dispatching data during transmission intervals when the demand has not changed. …”
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