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1
Evaluating Machine Learning Algorithms for Fake Currency Detection
Published 2024“…Due to the subtle similarities between genuine and fake notes, distinguishing between them can be challenging. …”
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Article -
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Loss minimization in load flow simulation in power system
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Learning Object -
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Improving hand written digit recognition using hybrid feature selection algorithm
Published 2022“…Therefore, many researchers have applied and developed various machine learning algorithms that could efficiently tackle the handwritten digit recognition problem. …”
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Final Year Project / Dissertation / Thesis -
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Raspberry Pi-Based Finger Vein Recognition System Using PCANet
Published 2018“…PCA is employed for learning multistage filter banks. Binary hashing and block histograms are the steps for indexing and pooling. …”
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Monograph -
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Neurons to heartbeats: spiking neural networks for electrocardiogram pattern recognition
Published 2024“…Establishing functioning spiking neural networks (SNN) involves figuring out the neuron’s state through its activity level, challenging due to its resemblance to the human brain’s data processing, yet appealing due to factors like improved unsupervised learning methods, with ten parameters chosen for the learning algorithm of SNN. …”
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Article -
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Determining malaria risk factors in Abuja, Nigeria using various statistical approaches
Published 2018“…Based on cross-validation analysis, the score-based algorithm outperformed the constraint-based algorithms in the structural learning. …”
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Thesis -
7
Hybrid Neural Network With K-Means For Forecasting Response Candidate In Direct Marketing
Published 2014“…K-means algorithm grouping process by minimizing the distance between the data and designed can handle very large dataset also continuous and categorical variable for handling imbalanced dataset. …”
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Thesis -
8
A novel framework for secure cryptocurrency transactions using quantum crypto guard
Published 2025“…In addition, the existing algorithms face difficulties like slow transaction speeds, interoperability issues between different cryptocurrencies, and privacy concerns. …”
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A comparative sales forecast study between supervised and unsupervised learning algorithm on restaurant / Azhar Tamby
Published 2006“…In this research, there are two algorithm of neural network will be used. It is coming from supervised and unsupervised learning algorithm. …”
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Student Project -
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الضوابط الشرعية والمهنية للعملات الافتراضية في ظل الرقمنة المالية
Published 2026journal::journal article -
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Nature inspired meta-heuristic algorithms for deep learning: recent progress and novel perspective
Published 2019“…We believed that the survey can facilitate synergy between the nature inspired algorithms and deep learning research communities. …”
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Proceeding Paper -
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Harnessing Machine Learning Algorithms to Model the Association between Land Use/Land Cover Change and Heatwave Dynamics for Enhanced Environmental Management
Published 2024“…Harnessing Machine Learning Algorithms to Model the Association between Land Use/Land Cover Change and Heatwave Dynamics for Enhanced Environmental Management by Zullyadini bin A. …”
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Assessing the relationships between problem representation, capabilities and task performance fraud risk assessment by Nigerian deposit money banks' fraud investigators
Published 2021“…Thirteen out of nineteen hypotheses were evaluated through PLS-SEM algorithm and bootstrapping, whilst Mann-Whitney U Test was deployed to evaluate six hypotheses related to differences in ranking between forensic accountants and bank examiners. …”
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Thesis -
16
Towards quick response and secure online banking transactions: using data compression and cryptography
Published 2013“…It has been found that the main problem is in the connection channel between the end-user and the bank. Data compression and cryptography are integrated to be used for securing the online banking transactions efficiently. …”
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Proceeding Paper -
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An optimized variant of machine learning algorithm for datadriven electrical energy efficiency management (D2EEM)
Published 2024“…The scope of this study is tri folded, First, an exhaustive and parametric comparative study on a wide variety of machine learning algorithms is presented to evaluate the performance of machine learning algorithms in energy load prediction. …”
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Thesis -
18
Functional link neural network with modified bee-firefly learning algorithm for classification task
Published 2016“…The standard learning method for tuning weights in FLNN is Backpropagation (BP) learning algorithm. …”
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Thesis -
19
Quantifying usability prioritization using K-means clustering algorithm on hybrid metric features for MAR learning
Published 2023“…Augmented reality; Learning algorithms; Machine learning; Usability engineering; Between clusters; Mobile augmented reality; Prioritization; Prioritization techniques; Unsupervised machine learning; Usability; K-means clustering…”
Conference Paper -
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Meta-heuristics and deep learning for energy applications: Review and open research challenges (2018?2023)
Published 2025“…The synergy between deep learning and meta-heuristic algorithms presents a promising avenue for tackling the complexities of energy-related modeling and forecasting tasks. …”
Review
