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Search results for: neural network
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Year: 2024, Volume: 24, Number: 2
... to manually adjusts image parameters to enhance certain ensure the neural network training had good generalization features of the image ... obtaining a final image that is ability. Optimum Enhancement WACs Find the Gamma Image Multi-level vector Keypoints Optimum maximum ... was done to ensure as much as possible the neural network's generalization ability, allowing the detector to accurately infer ...
Year: 2024, Volume: 24, Number: 2
... on methods have been studied and the Discrete Cosine Convolutional Neural Networks (CNN) applied to already Transform ( ... ), the Discrete Fourier Transform (DFT), labeled open-source data. Most augmentation techniques or and the ... , social many domains. Unfortunately, deforestation occurs even network analysis, and numerous other areas. The main ...
Year: 2024, Volume: 24, Number: 2
... the generation of a dataset and the decision trees, neural networks, and support vector machines implementation of the ... Behavior-Based Machine [7-8]. Learning Classifier with the objective of enhancing security of In recent years, the ... Engineering Volume 24, Number 2, 2024 Enhancing V2G Network Security: A Novel Cockroach Behavior-Based Machine Learning Classifier ...
Year: 2024, Volume: 24, Number: 2
... methods have gradually shifted from With the breakthrough of convolutional neural networks traditional manual feature design [1] to ... extraction in image classification in 2012, many effective behavior using deep convolutional neural networks [2]. Generally ... takes advantage of the complementarity between Transformer and graph attention network to improve phase discriminability. For workflow detection, ...
Year: 2024, Volume: 24, Number: 2
... Fault Location on Radial Distribution Systems Using Wavelets and Artificial Neural Networks with a New Data Processing Feature Almir Laranjeira ... Aslan, Y. E. Yagan, "Artificial neural-network-based fault location Computation Conference, Seville, Spain, ... for power distribution lines using the frequency spectra of fault data," [25] I. Daubechies, ...
6. Biometric Identification Advances: Unimodal to Multimodal Fusion of Face, Palm, and Iris Features
Year: 2024, Volume: 24, Number: 1
... fusion [7]. In identification and deep convolutional neural networks (CNNs) the field of biometric feature ... techniques include sensor-level fusion, feature-level fusion, wavelet transform networks (WTN) for face and iris match-score-level fusion ... irises, as well as deep convolutional neural networks neural network (CNN) and support vector classifier (SVC ...
Year: 2024, Volume: 24, Number: 1
... the information in the discourse. Based on the artificial neural networks. definitions and theories related to the seven ... are mainly focused on the detection of fake like social networks. It is adaptable to social media information on ... , the algorithm combines human factors based on text and network quality (such as consistency of and user perception ...
Year: 2024, Volume: 24, Number: 1
... . 165 renewable power generation and electric vehicles," Neural. Comput. pp. 374 – 406, ... ) in discharging capabilities of plug-in hybrid electric vehicles power networks has been considered as an effective (PHEVs) ... PHEVs can deliver power back to the an external electricity network. In order to model the power grid during ...
Year: 2024, Volume: 24, Number: 1
... feed forward and an EDS is explained by using a neural network PID for a enhanced sliding mode control of ... . 98-103. vehicle by torque balance," Mobile Networks and Applications, pp. 1- doi: ... /ICMECH.2004.1364419 7, 2019. doi:10.1007/s11036-019-01365-w [8] Y. C. Chang, ...
Year: 2023, Volume: 23, Number: 4
... learning models — Decision Tree (DT), Artificial Neural resistant to adversarial attacks. A random subspace Network ... detection. Adaptive adversaries who comprehend the infrastructure of computer networks. The administrators of underlying principles of ML techniques ... Engineering Volume 23, Number 4, 2023 A Robust Network Intrusion Detection System Using Random Forest Based Random Subspace ...
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