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A Closed Queueing Networks Approach for an Optimal Heterogeneous Fleet Size of an Inter-Facility Bulk Material Transfer System
Published 2024“…Methods: The material transfer process is modelled using a closed queueing network (CQN) that considers heterogeneous nodes and customised service times tailored to the unique characteristics of various truck types and their transported materials. …”
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183
Machine learning and structural health monitoring overview with emerging technology and high-dimensional data source highlights
Published 2021“…A detailed analysis of the ML pipelines is provided, and the in-demand methods and algorithms are summarized in augmentative tables and figures. …”
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184
FPGA-Based Network Traffic Classification Using Machine Learning
Published 2019Get full text
doctoralThesis -
185
Oversampling techniques for imbalanced data in regression
Published 2024“…For image datasets, we employ Multi-Level Autoencoders, consisting of Convolutional and Fully Connected Autoencoders. …”
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186
Blockchain-Based Decentralized Architecture for Software Version Control
Published 2023“…The proof of authority (PoA) consensus algorithm will be used to approve the developer communicating modifications to the private blockchain network; the authority will only provide permission and will not be able to add, edit, or delete code files. …”
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187
A hybrid model to predict the pressure gradient for the liquid-liquid flow in both horizontal and inclined pipes for unknown flow patterns
Published 2023“…Statistical analysis showed that the selected features for liquids' and pipe's properties using the BGWOPSO algorithm were adequate to attain superior performance for both models. …”
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188
Optical character recognition on heterogeneous SoC for HD automatic number plate recognition system
Published 2018“…In this paper, four algorithms are proposed for the OCR stage of a real-time HD ANPR system. …”
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189
Uplink Noma in UAV-Assisted IoT Networks
Published 2022“…Given the complexity of the problem and the incomplete knowledge about the environment, the problem is divided into two subproblems: the first models the UAV trajectory and the selection of the first device in the NOMA cluster at each time slot as a Markov Decision Process, and uses Proximal Policy Optimization to solve it. …”
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masterThesis -
190
The maximum common subgraph problem
Published 2017“…With its plethora of applications, MCS is a familiar and challenging problem. Many algorithms exist that can deliver optimal MCS solutions, but whose asymptotic worst-case run times fail to do better than mere brute-force, which is exponential in the order of the smaller graph. …”
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conferenceObject -
191
Leveraging UAVs for Coverage in Cell-Free Vehicular Networks
Published 2020“…To address these challenges, we formulate the trajectories decisions making as a Markov decision process where the system state space considers the vehicular network dynamics. …”
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192
Integration of Artificial Intelligence in E-Procurement of the Hospitality Industry: A Case Study in the UAE
Published 2020“…Other major results of the research include an answer to what to buy when to buy and how much to buy using demand forecasting for the e-procurement in the hospitality industry. The novel LSTM time series algorithm proved to work best for demand forecasting. …”
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Energy-aware adaptive compression for mobile devices. (c2009)
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masterThesis -
196
Modelling of pollutant transport in compound open channels
Published 1998“…The numerical computation of open-channel flows requires preparing and processing larger volumes of boundary and bathymetry data for computer inputs and the development of numerical algorithms for treating complex boundary condition, channel properties, and free surface effects. …”
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masterThesis -
197
KNNOR: An oversampling technique for imbalanced datasets
Published 2021“…To overcome these problems, this article proposes an advanced algorithm by studying the compactness and location of the minority class relative to other classes. …”
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198
Quality Degradation And Pricing of Perishable Food Products
Published 2024Get full text
doctoralThesis -
199
Making progress with the automation of systematic reviews: principles of the International Collaboration for the Automation of Systematic Reviews (ICASR)
Published 2018“…Recent advances in natural language processing, text mining and machine learning have produced new algorithms that can accurately mimic human endeavour in systematic review activity, faster and more cheaply. …”
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200
Deep and transfer learning for building occupancy detection: A review and comparative analysis
Published 2022“…Moreover, the paper conducted a comparative study of the readily available algorithms for occupancy detection to determine the optimal method in regards to training time and testing accuracy. …”