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181
Public Administration Studies: The Digital Trajectory
Published 2022“…After looking at current ICT phenomena — from AI to gaming — and how PA has taken them up, two critical, interlinked phenomena are then analyzed: MOOCs (Massive Open Online Courses) and their effects, including a review of how the Covid-19 pandemic pushed this kind of teaching, and the current ability of algorithms to write a certain type of texts. …”
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182
A stochastic PID controller for a class of MIMO systems
Published 2017“…The development of the proposed algorithm is based on minimising a stochastic performance index. …”
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183
Performance Analysis of Artificial Neural Networks in Forecasting Financial Time Series
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184
Automated Deep Learning BLACK-BOX Attack for Multimedia P-BOX Security Assessment
Published 2022“…This paper provides a deep learning-based decryptor for investigating the permutation primitives used in multimedia block cipher encryption algorithms.We aim to investigate how deep learning can be used to improve on previous classical works by employing ciphertext pair aspects to maximize information extraction with low-data constraints by using convolution neural network features to discover the correlation among permutable atoms to extract the plaintext from the ciphered text without any P-box expertise. …”
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185
A Novel Encryption Method for Dorsal Hand Vein Images on a Microcomputer
Published 2019“…<p dir="ltr">In this paper, a Lorenz-like chaotic system was developed to encrypt the dorsal hand patterns on a microcomputer. …”
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186
A combinatorial auction‐based approach for ridesharing in a student transportation system
Published 2023“…A hybrid heuristic-based optimization framework, that takes advantage of meta-heuristic algorithms to improve an initial solution, is also developed to solve large-sized instances of the problem. …”
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187
A hybrid approach for XML similarity
Published 2007“…Various algorithms for comparing hierarchically structured data, e.g. …”
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188
Interval-Valued SVM Based ABO for Fault Detection and Diagnosis of Wind Energy Conversion Systems
Published 2022“…Next, as a feature selection tool, an improved extension of Artificial Butterfly Optimization (ABO) algorithm is used in order to extract the significant features from data and improve the diagnosis results of multiscale interval SVM. …”
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191
Design of A Theoretical Framework For A Real-Time Fire Evacuation Guidance System
Published 2020Get full text
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192
A SEQUENCING PROBLEM IN THE WEAVING INDUSTRY
Published 2020“…The structure of the set-up cost is utilized to develop a polynomial time solution algorithm. The algorithm involves computing the shortest path of a network. …”
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193
A Digital DNA Sequencing Engine for Ransomware Analysis using a Machine Learning Network
Published 2020“…The preprocessing of data includes remove missing value records and remove columns that have a negligible impact. The feature selection uses Grey Wolf Optimisation and Binary Search algorithms for choosing the best features out of the dataset. …”
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194
A novel few shot learning derived architecture for long-term HbA1c prediction
Published 2024“…For the first time in the literature, this work proposes a novel FSL-derived algorithm for the long-term prediction of clinical HbA1c measures. …”
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195
Modelling And Analysis Of A Multi-Stage Order Quantity Model
Published 2020“…An algorithm to determine the relationship between the lot sizes of the MSOQ model is also developed. …”
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196
Particle swarm optimization for multimachine power systemstabilizer design
Published 2001“…In this paper, a novel evolutionary algorithm based approach to optimal design of multimachine power system stabilizers (PSSs) is proposed. …”
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197
A TABU SEARCH APPROACH TO THE CLUSTERING PROBLEM
Published 2020“…In this paper, we develop a new algorithm for solving this problem based on a tabu search technique. …”
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Guaranteed Cost Control Of A Markov Jump Linear Uncertain System UsingA Time-Multiplied Cost Function
Published 2020“…The performance is calculated first and an LMI-based algorithm is developed to design a state feedback control law with constant gain matrices which robustly stabilizes the system in the mean-square quadratically stable sense.…”
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200
Guaranteed Cost Control Of A Markov Jump Linear Uncertain System Using A Time-Multiplied Cost Function
Published 2020“…The performance is calculated first and an LMI-based algorithm is developed to design a state feedback control law with constant gain matrices which robustly stabilizes the system in the mean-square quadratically stable sense.…”
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