Showing 1,661 - 1,680 results of 2,196 for search 'Kheda~', query time: 1.42s Refine Results
  1. 1661

    Reactions of N,N′-bis(2-hydroxyethyl)oxalamide with Ethylene Carbonate and Use of the Obtained Products as Components of Polyurethanes Foams by Iwona Zarzyka-Niemiec

    Published 2010-01-01
    “…N,N-bis(2-hydroxyethyl)oxalamide (BHEOA) was subject to hydroxyalkylation with ethylene carbonate (EC). …”
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  2. 1662

    Multi-Timescale Battery-Charging Optimization for Electric Heavy-Duty Truck Battery-Swapping Stations, Considering Source–Load–Storage Uncertainty by Peijun Shi, Guojian Ni, Rifeng Jin, Haibo Wang, Jinsong Wang, Zhongwei Sun, Guizhi Qiu

    Published 2025-01-01
    “…First, a model incorporating uncertainties in renewable energy output, time-of-use pricing, and grid load fluctuations is developed for the battery-swapping station. Second, based on day-ahead and intra-day timescales, the optimization problem for battery-charging strategies at battery-swapping stations is decomposed into day-ahead and intra-day optimization problems. …”
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  3. 1663
  4. 1664

    Impressum

    Published 2019-12-01
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  5. 1665

    Subseasonal Prediction of Heat‐Related Mortality in Switzerland by Maria Pyrina, Ana M. Vicedo‐Cabrera, Dominik Büeler, Sidharth Sivaraj, Christoph Spirig, Daniela I. V. Domeisen

    Published 2025-01-01
    “…Heat‐related mortality peaks occurring for a few days can be accurately predicted up to 2 weeks ahead, while longer periods of heat‐related mortality lasting a few weeks can be anticipated 3 to even 4 weeks ahead. …”
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  6. 1666
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  9. 1669

    Improving Crack Detection Precision of Concrete Structures Using U-Net Architecture and Novel DBCE Loss Function by Andrew Prasetyo, I Ketut Eddy Purnama, Eko Mulyanto Yuniarno, Priyo Suprobo

    Published 2025-01-01
    “…The proposed method is 7.69% ahead of the largest comparison method (DICE Loss) on Average IOU, while on Average Precission is leading 6.72% ahead of the largest comparison method (DICE). …”
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  10. 1670
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  12. 1672

    One-Day Prediction of Biometeorological Conditions in a Mediterranean Urban Environment Using Artificial Neural Networks Modeling by K. P. Moustris, P. T. Nastos, A. G. Paliatsos

    Published 2013-01-01
    “…For this purpose, artificial neural networks (ANNs) modelling techniques are applied in order to predict the maximum and the minimum value of the physiologically equivalent temperature (PET) one day ahead as well as the persistence of the hours with extreme human biometeorological conditions. …”
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  13. 1673

    An engineering model for creeping flame spread over idealized electrical wires in microgravity by Coimbra, Alain, Li, Yutao, Guibaud, Augustin, Citerne, Jean-Marie, Legros, Guillaume, Consalvi, Jean-Louis

    Published 2023-03-01
    “…The heat transfer mechanisms ahead of the pyrolysis front are investigated with a special emphasis on the LDPE thickness and the conductivity of the metallic core. …”
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  14. 1674

    Evaluation of Short-Term Freeway Speed Prediction Based on Periodic Analysis Using Statistical Models and Machine Learning Models by Xiaoxue Yang, Yajie Zou, Jinjun Tang, Jian Liang, Muhammad Ijaz

    Published 2020-01-01
    “…This paper selects several representative statistical models and machine learning models to analyze the influence of periodic component on short-term speed prediction under different scenarios: (1) multi-horizon ahead prediction (5, 15, 30, 60 minutes ahead predictions), (2) with and without periodic component, (3) two data aggregation levels (5-minute and 15-minute), (4) peak hours and off-peak hours. …”
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  15. 1675

    Impacts of Cooperative Adaptive Cruise Control Links on Driving Comfort under Vehicle-to-Vehicle Communication by Yongchun Li, Chuanping Shan

    Published 2022-01-01
    “…Additionally, if CACC penetration rates exceed 50%, the better choice is that CACC receives feedback links from two immediately successive vehicles ahead.…”
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  16. 1676
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  18. 1678

    Forecasting of virtual power plant generating and energy arbitrage economics in the electricity market using machine learning approach by Tirunagaru V. Sarathkumar, Arup Kumar Goswami, Baseem Khan, Kamel A. Shoush, Sherif S. M. Ghoneim, Ramy N. R. Ghaly

    Published 2025-01-01
    “…This paper presents a dual-pronged, innovative approach to maximize income in the day-ahead power market through VPP. On one front, forecasting VPP generation units, including solar photovoltaic, wind power, and combined heat and power, employs a novel Adam Optimizer Long-Short-Term-Memory (AOLSTM) machine learning technique. …”
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  19. 1679

    Forecast uncertainties real-time data-driven compensation scheme for optimal storage control by Arbel Yaniv, Yuval Beck

    Published 2025-03-01
    “…The refined real-time control scheme is integrated with a day-ahead optimization engine and forecast model, which is utilized for illustrative simulations to highlight its potential efficacy on a real site. …”
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  20. 1680

    Predicting Time-to-Failure of Red Sandstone by Temporal Precursor of Acoustic Emission Signals by Ansen Gao, Chengzhi Qi, Renliang Shan, Chunlai Wang

    Published 2022-01-01
    “…The predicting result of specimen R1 was 0.2 s ahead of its actual failure time, and the predicting result of specimen R6 was 8.1 s ahead of its actual failure time. …”
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