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A Markovian batch arrival queueing system with disasters, working breakdowns, and impatience: Mathematical modeling and economic analysis
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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42
Comparison Study between Batch and Continuous Processes to Obtain Chitosan-Based High Porous Biomaterial for Biological Applications
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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43
Neural Network-Based State Estimation for a Closed-Loop Control Strategy Applied to a Fed-Batch Bioreactor
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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44
Batch and Column Studies for the Removal of Lead from Aqueous Solutions Using Activated Carbons from Viticultural Industry Wastes
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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45
Heterogeneous Graph Neural-Network-Based Scheduling Optimization for Multi-Product and Variable-Batch Production in Flexible Job Shops
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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46
Estimation of Sporulated Cell Concentration of <i>Bacillus thuringiensis</i> in a Batch Biochemical Reactor via Simple State Observers
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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47
Gas Consumption Accounting and Prediction for Medium and Thick Steel Slabs: A Method Combining Batch Integrity and Heat Absorption Ratio
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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48
Methodology of Supervision by Analysis of Thermal Flux for Thermal Conduction of a Batch Chemical Reactor Equipped with a Monofluid Heating/Cooling System
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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49
A clustering-aided multi-agent deep reinforcement learning for multi-objective parallel batch processing machines scheduling in semiconductor manufacturing
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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50
Peningkatan Performa Pengelompokan Pola Berpikir Siswa dalam Belajar pada Media Pembelajaran Menggunakan Direct Batch Growing Self Organizing Map
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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51
The Combined Effect of Four Nutraceutical-Based Feed Additives on the Rumen Microbiome, Methane Gas Emission, Volatile Fatty Acids, and Dry Matter Disappearance Using an In Vitro B...
Published 2024-09-01“…Overall, the essential oil blend showed great potential as a methane gas mitigation strategy by modifying rumen fermentation through changes in the microbial community dynamics.…”
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52
Experimental Study of Cotton stalks Gasification in a Downdraft Reactor
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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53
An Ordered Universal Accumulator Based on a Hash Chain
Published 2025-02-01“…The benefits include self-certification, batch verification, and consistent representation of accumulated sets. …”
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54
Processing streams in a monitoring cloud cluster
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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55
Automated Parcel Locker Configuration Using Discrete Event Simulation
Published 2025-07-01Get full text
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56
Dynamic scheduling algorithm for streaming media based on CDN
Published 2009-01-01Get full text
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57
MELGYM: A dynamic control interface for MELCOR simulations
Published 2025-05-01Get full text
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58
Impact of Microplastics on Ciprofloxacin Adsorption Dynamics and Mechanisms in Soil
Published 2025-04-01“…This work advances understanding of co-contaminant dynamics in soil ecosystems, informing risk assessment frameworks.…”
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59
Transforming Prediction into Decision: Leveraging Transformer-Long Short-Term Memory Networks and Automatic Control for Enhanced Water Treatment Efficiency and Sustainability
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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60
BIT*+TD3 Hybrid Algorithm for Energy-Efficient Path Planning of Unmanned Surface Vehicles in Complex Inland Waterways
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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