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  1. 41

    A Markovian batch arrival queueing system with disasters, working breakdowns, and impatience: Mathematical modeling and economic analysis by Ramdani Hayat, Bouchentouf Amina Angelika, Yahiaoui Lahcene

    Published 2025-01-01
    “…In this paper, we deal with a Markovian multi-server queueing system with batch arrival, Bernoulli feedback, and customers’ impatience (balking and reneging). …”
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    Article
  2. 42

    Comparison Study between Batch and Continuous Processes to Obtain Chitosan-Based High Porous Biomaterial for Biological Applications by Alina Violeta Ursu, Diana Furtuna, Laura Requia, Safa Larafa, Hélène de Baynast, Philippe Michaud, Gholamreza Djelveh, Cédric Delattre

    Published 2019-01-01
    “…Foaming process can be monitored under batch or continuous flows conditions. In the batch process, foaming is time-dependent and the foaming efficiency is controlled by the operator. …”
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  3. 43

    Neural Network-Based State Estimation for a Closed-Loop Control Strategy Applied to a Fed-Batch Bioreactor by Santiago Rómoli, Mario Serrano, Francisco Rossomando, Jorge Vega, Oscar Ortiz, Gustavo Scaglia

    Published 2017-01-01
    “…The effectiveness of the proposed approach is illustrated on the basis of simulated experiments on a fed-batch bioreactor, and its performance is compared with two controllers available in the literature.…”
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  4. 44

    Batch and Column Studies for the Removal of Lead from Aqueous Solutions Using Activated Carbons from Viticultural Industry Wastes by A.C. Deiana, M.G. Gimenez, S. Rómoli, M.F. Sardella, K. Sapag

    Published 2014-03-01
    “…Adsorption studies (kinetic, batch and dynamic assays) were carried out for lead removal from aqueous solutions using wastes from the wine industry. …”
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  5. 45

    Heterogeneous Graph Neural-Network-Based Scheduling Optimization for Multi-Product and Variable-Batch Production in Flexible Job Shops by Yuxin Peng, Youlong Lyu, Jie Zhang, Ying Chu

    Published 2025-05-01
    “…In view of the Flexible Job-shop Scheduling Problem (FJSP) under multi-product and variable-batch production modes, this paper presents an intelligent scheduling approach based on a heterogeneity-enhanced graph neural network combined with deep reinforcement learning. …”
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  6. 46

    Estimation of Sporulated Cell Concentration of <i>Bacillus thuringiensis</i> in a Batch Biochemical Reactor via Simple State Observers by José Luis Zárate-Castrejón, Pablo A. López-Pérez, Milagros López-López, Carlos A. Núñez-Colín, Rafael A. Veloz-García, Hamid Mukhtar, Vicente Peña-Caballero

    Published 2024-12-01
    “…The results of this study are of great interest, as they provide insight into the estimation of the state of the dynamics for the <i>B. thuringiensis</i> bioreactor in a batch mode. …”
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  7. 47

    Gas Consumption Accounting and Prediction for Medium and Thick Steel Slabs: A Method Combining Batch Integrity and Heat Absorption Ratio by Qiang Guo, Xinyu Liang, Kai Wang, Yong Song

    Published 2025-06-01
    “…Existing research faces two major scientific challenges in gas consumption accounting and prediction for medium-thick steel slabs: (1) due to the dynamic movement of slabs, high-temperature environments, and structural constraints, it is difficult to directly measure slab temperatures and accurately quantify heat loss during the reheating process; and (2) traditional methods lack systematic consideration of batch integrity and the heat absorption ratio during the heating process, leading to low accuracy in energy consumption accounting and prediction. …”
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  8. 48

    Methodology of Supervision by Analysis of Thermal Flux for Thermal Conduction of a Batch Chemical Reactor Equipped with a Monofluid Heating/Cooling System by Ghania Henini, Fatiha Souahi, Ykhlef Laidani

    Published 2012-01-01
    “…We present the thermal behavior of a batch reactor to jacket equipped with a monofluid heating/cooling system. …”
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  9. 49

    A clustering-aided multi-agent deep reinforcement learning for multi-objective parallel batch processing machines scheduling in semiconductor manufacturing by Peng Zhang, Mengyu Jin, Ming Wang, Jie Zhang, Junjie He, Peng Zheng

    Published 2025-05-01
    “…Batch processing machines are often the bottleneck in semiconductor manufacturing and their scheduling plays a key role in production management. …”
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  10. 50

    Peningkatan Performa Pengelompokan Pola Berpikir Siswa dalam Belajar pada Media Pembelajaran Menggunakan Direct Batch Growing Self Organizing Map by Mochammad Izzuddin, Ahmad Afif Supianto, Tibyani Tibyani, Hilman Ferdinandus Pardede, Asri Rizki Yuliani, Ade Ramdan

    Published 2022-02-01
    “…The limitations that exist in SOM can be overcome, this study proposes a Direct Batch Growing Self Organizing Map (DBGSOM) which is dynamic in network size and faster in the training process. …”
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  11. 51
  12. 52

    Experimental Study of Cotton stalks Gasification in a Downdraft Reactor by A. Khalil, Ayman Bakry, Magda El-Fakharany, Karim Rabea

    Published 2018-08-01
    “…Air was employed as a gasifying agent with a biomass batch feed of 4 kg. The gasification process characteristics are evaluated in terms of lower heating value, gasification efficiency, and operation time. …”
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  13. 53

    An Ordered Universal Accumulator Based on a Hash Chain by Wenbao Jiang, Jinquan Li, Yangnan Guo, Haibao Zhang

    Published 2025-02-01
    “…The benefits include self-certification, batch verification, and consistent representation of accumulated sets. …”
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    Article
  14. 54

    Processing streams in a monitoring cloud cluster by Alexey N. Nazarov

    Published 2020-01-01
    “…At the same time, analytical relations are obtained to calculate the required performance of the Hadoop cluster at a given value of the probability of batch loss.…”
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  18. 58

    Impact of Microplastics on Ciprofloxacin Adsorption Dynamics and Mechanisms in Soil by Qian Xu, Hanbing Li, Sumei Li, Ziyi Li, Sha Chen, Yixuan Liang, Yuyang Li, Jianan Li, Mengxin Yuan

    Published 2025-04-01
    “…This work advances understanding of co-contaminant dynamics in soil ecosystems, informing risk assessment frameworks.…”
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  19. 59

    Transforming Prediction into Decision: Leveraging Transformer-Long Short-Term Memory Networks and Automatic Control for Enhanced Water Treatment Efficiency and Sustainability by Cheng Qiu, Qingchuan Li, Jiang Jing, Ningbo Tan, Jieping Wu, Mingxi Wang, Qianglin Li

    Published 2025-03-01
    “…The study addresses the critical issue of accurately predicting ammonia nitrogen (NH<sub>3</sub>-N) concentration in a sequencing batch reactor (SBR) system, achieving reduced consumption through automatic control technology. …”
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  20. 60

    BIT*+TD3 Hybrid Algorithm for Energy-Efficient Path Planning of Unmanned Surface Vehicles in Complex Inland Waterways by Yunze Xie, Yiping Ma, Yiming Cheng, Zhiqian Li, Xiaoyu Liu

    Published 2025-03-01
    “…This research proposes a hybrid path planning framework for intelligent inland waterway Unmanned Surface Vehicles (USVs), which integrates the enhanced BIT* (Batch Informed Trees) algorithm with the TD3 (Twin Delayed Deep Deterministic Policy Gradient) deep reinforcement learning method. …”
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