Energy-Efficient Coverage of Rechargeable UAV Networks in Forest Scenarios by Chi Zheng, Ting Su, Jianming Liu, Kuo Chi, Yongqin Yang

“…Several charging stations are distributed around the forest to provide charging services for UAVs. We first designed an energy efficiency objective function based on the finite difference time domain method (FDTD) radio wave propagation model, and the energy efficiency coverage problem is formulated as a constrained optimization problem. …”
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Multistep Prediction Model for Photovoltaic Power Generation Based on Time Convolution and DLinear by WANG Shuyu, LI Hao, MA Gang, YUAN Yubo, BU Qiangsheng, YE Zhigang

“…Second， the TCN is used to model the local time sequence information and mine short-time sequence features. …”
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PEMFC RUL Prediction for Non-Stationary Time Series Based on Crossformer Model by Ning Zhou, He Zeng, Zefei Zheng, Ke Wang, Jianxin Zhou

“…In this paper, we propose a PEMFC RUL prediction model based on the Crossformer for non-stationary time series (De-stationary-Crossformer). …”
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Deep Learning Model for Real‐Time Flood Forecasting in Fast‐Flowing Watershed by Fan Wang, Jie Mu, Cheng Zhang, Weiqi Wang, Wuxia Bi, Wenqing Lin, Dawei Zhang

“…Through application research in three representative watersheds, we found that: First, as input information attenuates, the predictive ability of the models may decline with an extended lead time. …”
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Presenting a model for solving lot-streaming hybrid flow shop scheduling problem by considering independent setup time and transportation time by Roja Ruhbakhsh, Esmaeil Mehdizadeh, Mohammad Amin Adibi

“…In this paper, the aim is solving a multi objective mathematical model for solving hybrid flow shop scheduling problem with lot-streaming, setup time and transportation time.Methodology: At first, a multi objective mathematical programming model is presented for solving the problem. …”
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Real-Time Object Detection Model for Electric Power Operation Violation Identification by Xiaoliang Qian, Longxiang Luo, Yang Li, Li Zeng, Zhiwu Chen, Wei Wang, Wei Deng

“…However, it still faces the following challenges: (1) insufficient detection capability for irregularly shaped objects; (2) objects with low object-background contrast are easily omitted; (3) improving detection accuracy while maintaining computational efficiency is difficult. To address the above challenges, a novel real-time object detection model is proposed in this paper, which introduces three key innovations. …”
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Efficient Training Data Generation for Reduced-Order Modeling in a Transonic Flight Regime by Haojie Liu, Yonghui Zhao

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Does capital efficiency influence economic growth in Bangladesh? Application of the Harrod-Domar model by Sakib Bin Amin, Bismi Iqbal Samia, Farhan Khan

“…Originality/value – This is the first paper to analyse the economic growth pattern of Bangladesh using the traditional H-D model by incorporating variables such as savings and ICOR and also by relaxing the assumption of time-invariant (i.e. fixed) data of the variables. …”
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Efficient techno-economic modelling of smart parking lots within the electricity distribution networks by Seyed Ashkan Nejati, David Greenwood, Sanchari Deb, Saman Nikkhah

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A Computationally Efficient Finite Element Pedestrian Model for Head Safety: Development and Validation by Guibing Li, Zheng Tan, Xiaojiang Lv, Lihai Ren

“…Firstly, a FE pedestrian model with a relatively small number of elements (432,694 elements) was developed in the current study. …”
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The impact of diagnosis-related groups on medical costs, service efficiency, and healthcare quality in Meishan, China: An interrupted time series analysis. by Jinyuan Li, Meihua Peng, Shihu Deng, Jingwen Wu, Wangsu Zhou

“…Over time, the impact of DRG on cost control and service efficiency stabilized. …”
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REDETR-RISTD: Real-Time Long-Range Infrared Small Target Detection Network Based on the Reparameterized Efficient Detection Transformer by Ning Li, Daozhi Wei

“…This happens because the targets are small in size, have a weak signal-to-noise ratio (SNR), and are surrounded by complex backgrounds. A novel real-time long-range infrared small target detection network based on the Reparameterized Efficient Detection Transformer (REDETR-RISTD) is proposed. …”
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Energy-efficiency maximization scheme for data collection in wireless power communication networks by Haijiang GE, Zhanwei YU, Kaikai CHI

“…WPCN composed of multiple RF energy sources and sinks was studied.The energy efficiency of data collection were maximized by jointly optimizing the transmission power of energy sources,the time allocation of wireless energy transfer and the time allocation of nodes’ data transmission.Specifically,the energy efficiency maximization problem was modeled firstly.Then,the optimal value of transmitted power was obtained,and the monotonicity of energy-efficiency function and the convexity of throughput function were further deduced.Finally,based on these properties,an efficient algorithm which combines golden-section search and bisection search was designed to get the optimal solution quickly.The simulation results show that the proposed optimal algorithm can significantly improve the energy efficiency compared with the baseline scheme.…”
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A rapid and efficient method for flash flood simulation based on deep learning by Xinying Wang, Miao Xiao, Yi Liu, Jun Guo, Yangyang Qin, Yunkang Zhang

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Energy consumption model with real-time data for driving range extension of electric buses by Yunus Emre Ekici, Ahmet Arif Aydin, Teoman Karadağ, Ozan Akdağ, Abdullah Ateş

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Multigraph Modeling for Urban Distribution of Emergency Commodities with Semisoft Time Windows under Uncertainty by Hamid Tikani, Mostafa Setak, Darya Abbasi

“…The first stage of the model concerns with the vehicle routing decisions which is not involved with random parameters; besides, the second stage of the model involves with the departure time at each demand node and path finding decisions after observation of random vectors in the first stage considering a finite number of scenarios. …”
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Modeling and Robustness Study of Railway Transport Networks Using P-Timed Petri Nets by Anis Mhalla, Mohanned Gaied

“…P-time Petri Nets have been recognized as powerful modeling and analysis tools for railway transport systems. …”
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Deep Learning-Based Real-Time Surf Detection Model During Typhoon Events by Yucheng Shi, Guangjun Xu, Yuli Liu, Hongxia Chen, Shuyi Zhou, Jinxiang Yang, Changming Dong, Zhixia Lin, Jialun Wu

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Understanding price momentum, market fluctuations, and crashes: insights from the extended Samuelson model by Qingyuan Han

“…This paradigm transition uncovers several significant findings. First, timely signals indicate momentum initiations, cessations, and reversals, validated using S&P 500 data from 1999 to 2023. …”
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Research on anomaly detection model for traffic time series data integrating multiple mechanisms by Peipei ZHANG, Jiaqi LIU

“…The proposed model performs effectively in recognizing both global and local anomalies in traffic time series data, which provides reference for improving the operational efficiency and safety of the traffic system.…”
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