Search Results - (( data protection a algorithm ) OR ( using optimization method algorithm ))
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1
Breaking A Playfair Cipher Using Single and Multipoints Crossover Based on Heuristic Algorithms
Published 2023Conference Paper -
2
Optimal overcurrent relay coordination in wind farm using genetic algorithm
Published 2015“…Many suggestions have been made and approaches implemented, however one of the most prominent methods is the use of Genetic Algorithm (GA) to improve the function and coordination of OCRs. …”
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Thesis -
3
Secured route optimization in mobile IPv6 wireless networks in terms of data integrity
Published 2008“…This algorithm is able to detect and prevent the attacker from modifying the data with using an encryption algorithm at a cost of a small increase in delay. …”
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Conference or Workshop Item -
4
Application of Simon encryption algorithm for data transmission between sensor nodes in IoT environment
Published 2024“…In future work, the algorithm can still be optimized to offer better performance. …”
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Proceeding Paper -
5
Differential Evolution Based Special Protection and Control Scheme for Contingency Monitoring of Transmission Line Overloading
Published 2017“…IEEE 30-bus test system was used to verify the effectiveness of the implemented methods.…”
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Book Section -
6
Security enhancement of route optimization in mobile IPv6 networks
Published 2008“…This algorithm is able to detect and prevent the attacker from modifying the data with using an encryption algorithm by cost of little bit increase but tolerable delay. …”
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Article -
7
Machine learning in botda fibre sensor for distributed temperature measurement
Published 2023“…Therefore, this thesis explores the comparative analysis for BOTDA data processing using the six most suited machine learning algorithms. …”
text::Thesis -
8
An ensemble deep learning classifier stacked with fuzzy ARTMAP for malware detection
Published 2023“…During the training and optimization process, these base learners adopt a hybrid BP and Particle Swarm Optimization algorithm to combine both local and global optimization capabilities for identifying optimal features and improving the classification performance. …”
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Article -
9
Implementation of High Speed Large Integer Multiplication Algorithm on Contemporary Architecture
Published 2018“…Both radix-2 and radix-4 FNT modules are implemented and a further design of radix-4 FNT module, named radix-4 CTFNT module that is optimized to fit the multiplication algorithm we used is proposed. …”
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Final Year Project / Dissertation / Thesis -
10
Enhancing project completion date prediction using a hybrid model: rule-based algorithm and machine learning algorithm
Published 2025“…The central purpose of this research is to significantly increase the predictability of these milestone dates, thereby eliminating the risks associated with high and dynamic fluctuations in schedules. The study employs a hybrid predictive model that combines Big Data technologies, Extract Load Transfer (ELT) processes, rule-based algorithms (RBA), machine learning (ML), and Power BI visualizations. …”
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Development of an islanding detection scheme based on combination of slantlet transform and ridgelet probabilistic neural network in distributed generation
Published 2019“…In order to train Ridgelet probabilistic neural network, a modified differential evolution algorithm with new mutation phase, crossover process, and selection mechanism is introduced. …”
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Thesis -
13
SVM, ANN, and PSF modelling approaches for prediction of iron dust minimum ignition temperature (MIT) based on the synergistic effect of dispersion pressure and concentration
Published 2021“…Therefore, in this study, the predictability comparisons have been made with the different machine learning methods used to model the MIT for iron dust. The MIT of iron dust was determined using the Godbert-Greenwald furnace for seventy unique combinations of dispersion pressures and dust concentrations. …”
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Article -
14
An efficient anomaly intrusion detection method with evolutionary neural network
Published 2020“…The third proposed method is a new Evolutionary Neural Network (ENN) algorithm with a combination of Genetic Algorithm and Multiverse Optimizer (GAMVO) as a training part of ANN to create efficient anomaly-based detection with low false alarm rate. …”
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15
Robust estimation methods for fixed effect panel data model having block-concentrated outliers
Published 2019“…This research also addresses the combined problem of HLPs and heteroskedastic errors for fixed effect panel data model. A two-step robust estimator called Two Step Heteroskedasticity-Outlier (TSHO) is proposed and successfully dampens both problems. …”
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16
An enhance embedding method using edge and textures detection for image steganography
Published 2024“…The study contributes both theoretically and practically to the field of steganography by developing an innovative algorithm that enhances the security and robustness of image hidden data. …”
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17
Geographical information system (GIS) based planning technique for forest road network access : case study in Ayer Hitam Forest Reserve
Published 2016“…For this study, Network Analysis method was used by using Cost Back Link Tool in GIS. …”
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Project Paper Report -
18
Wavelet based fault tolerant control of induction motor / Khalaf Salloum Gaeid
Published 2012“…In this work however, the fault protection is an additional feature of the control system, where the wavelet based fault tolerant system has been tested and simulated using a 1kW IM, which has a short stator winding and sensor faults, while the primary faults are open stator winding. …”
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19
Cryptographic protection of block-oriented storage devices using AES-XTS in FPGA
Published 2013“…This standard uses AESXTS as a building block for the protection of data. …”
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20
Groundwater quality assessment and optimization of monitored wells using multivariate geostatistical techniques in Amol-Babol Plain, Iran
Published 2015“…A new optimization approach was proposed for redesign monitoring network wells using optimization algorithm based on the vulnerability of aquifer to contaminations, estimation error of sampling wells, nearest distance between wells, and source of contamination in the study area. …”
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