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Credit Card Batch Processing in Banking System
Batch payments, involving a single transaction to multiple recipients via a single bank account, offer an efficient alternative to individual...
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On a bi-objective distributed permutation flow shop problem with batch processing machines
This paper is devoted to a bi-objective distributed permutation flow shop problem with batch processing machines. We provide an industrial example...
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A cutting parameter energy-saving optimization method considering tool wear for multi-feature parts batch processing
Cutting parameters and tool wear both have significant influence on energy consumption in the processing. In a multi-feature parts batch processing,...
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Unrelated parallel batch processing machine scheduling for production systems under carbon reduction policies: NSGA-II and MOGWO metaheuristics
In recent years, the problem of extensive energy consumption and carbon emission in manufacturing companies has been highlighted. Efficient...
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A tabu-based adaptive large neighborhood search for scheduling unrelated parallel batch processing machines with non-identical job sizes and dynamic job arrivals
In this study, we investigate an unrelated parallel batch processing machines scheduling problem (UPBPMSP). A set of jobs with non-identical sizes...
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An Open-Source Framework Unifying Stream and Batch Processing
Log monitoring and analysis plays critical role in identifying events and traces to understand system behaviour at that point in time and to ensure...
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Enhancing FHE Over the Integers: Beyond Binary Numbers and Batch Processing
Fully Homomorphic Encryption (FHE) schemes enable secure computations on encrypted data. Following Gentry’s groundbreaking result, the AGCD...
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Image Contrast Enhancement Algorithm Based on PSO for Batch Processing
In many cases, large amounts of images need to be enhanced automatically to get better contrast effects, in other words, need an image contrast...
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Flexible job-shop scheduling problem with parallel batch machines based on an enhanced multi-population genetic algorithm
The flexible job-shop scheduling problem (FJSP) with parallel batch processing machine (PBM) is one of those long-standing issues that needs...
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Novel Multi-flow Multi-scale Convolutional Neural Network Developed for Quality Prediction of Batch Processes to Fuse Data With Different Sampling Frequencies
Quality prediction is a challenging task due to the nonlinearity and complexity of batch processes. In real batch processes, the presence of...
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Quality Assurance Discussion of Batch-Manufactured LEO Constellation System Satellites
Constructing production line and promoting the batch manufacturing of satellites and their complementary products is an inevitable choice for the...
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An Improved Raft Consensus Algorithm Based on Asynchronous Batch Processing
The consensus algorithm has been popular in current distributed systems as it is more effective in solving server unreliability. It ensures a group...
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Batch Poissonian Arrival Models of Multiservice Network Traffic
The emergence of packet-switched communication networks has made it clear that Poissonian arrival flow models are not quite adequate and required the...
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Adhesion of batch hot-dip galvanized components
Structural bonding of batch hot-dip galvanized components poses a particular challenge against the background of the build-up of the zinc coating in...
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Design of an automated robotic microinjection system for batch injection of zebrafish embryos and larvae
This paper presents the design of a vision-based automated robotic microinjection system for batch injection of both zebrafish embryos and larvae. A...
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Heuristic normalization procedure for batch effect correction
In this paper, we introduce heuristic method for addressing batch effect of transcriptome (genetic expression) data. Batch effect refers to the...
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Cutting model integrated digital twin–based process monitoring in small-batch machining
The success of machining process automation hinges primarily on the effectiveness of the monitoring and adaptive control systems. A new digital...
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Data-driven Discrete Simulation-based Dynamic Modeling and Continuous Optimization for Comprehensive Carbon Efficiency of Batch Hobbing
Low-carbon manufacturing is an inevitable requirement for the green transformation of enterprises. For batch hobbing, continuous improvement of...
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Data Obfuscation Scenarios for Batch ELM in Federated Learning Applications
The batch formulation of the Extreme Learning Machines (ELM) method fits well with federated learning scenarios. This paper proposes and investigates...
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Batch Dilution of Precision Optimal Navigation Planning for Cislunar Environments
Nova-C is a lunar lander developed by the private company Intuitive Machines to deliver commercial payloads to the Moon. The IM-1 mission will launch...
