Search Results - (( _ application learning algorithm ) OR ( its application drops algorithm ))
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Deep Learning-Driven Mobility And Utility-Based Resource Management In Mm-Wave Enable Ultradense Heterogeneous Networks
Published 2025thesis::doctoral thesis -
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Development of predictive modeling and deep learning classification of taxi trip tolls
Published 2022“…Using a classification algorithm, it is possible to extract drop-off and pickup locations from taxi trip data and estimate if the tour would incur tolls. …”
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Blood cell classification using deep learning
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Final Year Project / Dissertation / Thesis -
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Cloud-based lightweight detection of hardhat compliance based on YOLOv5 in power construction site
Published 2025“…Therefore, this thesis explores and studies public hardhat datasets, deep learning algorithms, power Internet of Things (PIoT), and edge computing to address the above issues. …”
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Thesis -
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Neighbour-based on-demand routing algorithms for mobile ad hoc networks
Published 2017“…In addition, with regard to the second algorithm SNBR, the results show that SNBR overcomes the NCPR algorithm terms of normalize routing overhead by 58.80% as its due to its dropping factor. …”
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Thesis -
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QoS evaluation of different TCPs congestion control algorithm using NS2
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Proceeding Paper -
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Simulated Kalman Filter algorithms for solving optimization problems
Published 2019“…Its optimality has inspired the development of a metaheuristic algorithm called Heuristic Kalman Algorithm (HKA) in 2009. …”
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Thesis -
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E4ML: Educational Tool for Machine Learning
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Conference or Workshop Item -
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Nature inspired meta-heuristic algorithms for deep learning: recent progress and novel perspective
Published 2019“…In this paper, we present recent progress on the application of nature inspired algorithms in deep learning. …”
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Proceeding Paper -
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Using GA and KMP algorithm to implement an approach to learning through intelligent framework documentation
Published 2023Subjects:Conference paper -
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Effect of chaos noise on the learning ability of back propagation algorithm in feed forward neural network
Published 2010Subjects: Get full text
Working 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 -
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Meta-heuristics and deep learning for energy applications: Review and open research challenges (2018?2023)
Published 2025Subjects:Review -
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Propose a New Machine Learning Algorithm based on Cancer Diagnosis
Published 2018“…In this review, we focus on the current status of machine learning applications in cancer research, also propose a new algorithm Fast Learning Network to work based on cancer research.…”
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