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Hybrid architecture for mitigating DDoS and other intrusions in SDN-IoT using MHDBN-W deep learning model
The Internet of Things (IoT) connects billions of devices. However, because of its heterogeneous system and broad connectivity, it is vulnerable to...
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Integrated Data Processing Architecture Applied to Learning Objects Repository for Educational Robotics: Proposing Approach
Educational Robotics has emerged as a multidisciplinary field integrating Information and Communication Technologies, Engineering, and Artificial...
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Adaptive Reinforcement Learning Formation Control Using ORFBLS for Omnidirectional Mobile Multi-Robots
This paper presents an adaptive reinforcement learning formation control method using output recurrent fuzzy broad learning systems (ORFBLSs) for...
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Machine learning assisted discovery of effective viscous material laws for shear-thinning fiber suspensions
In this article, we combine a Fast Fourier Transform based computational approach and a supervised machine learning strategy to discover models for...
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Underlay Cognitive Radio Resource Management with Hybrid Meta-Loss Learning
Cognitive Radio (CR) is an adaptable communication device driven by a Cognitive Engine (CE). A suitable machine-learning strategy can increase the...
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Deep representation learning and reinforcement learning for workpiece setup optimization in CNC milling
Computer Numerical Control (CNC) milling is a commonly used manufacturing process with a high level of automation. Nevertheless, setting up a new CNC...
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Comparative Analysis of Machine Learning Algorithms for Intrusion Detection System
The use of machine learning in cybersecurity has emerged as a natural next step in modern network intrusion detection systems. As the whole world is...
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Approximating the uncertainty of deep learning reconstruction predictions in single-pixel imaging
Single-pixel imaging (SPI) has the advantages of high-speed acquisition over a broad wavelength range and system compactness. Deep learning (DL) is a...
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Diagnosis of cardiovascular disease using deep learning technique
World Health Organization reports that cardiovascular disease is the major cause of death. Cardiovascular disease is responsible for around 31% of...
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Mathematical terrain interactive editing technology for landscape design based on deep learning
The technology in the field of garden landscape is constantly develo** with the progress of today's society, industry has also been promoted, and...
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Design principles for lifelong learning AI accelerators
Lifelong learning—an agent’s ability to learn throughout its lifetime—is a hallmark of biological learning systems and a central challenge for...
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Learning perceptions of STEM students partaking in an international experiential learning
The primary purpose of this study was to investigate the impact of international experiential learning programs on the motivation of STEM students to...
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DC Capacitor Parameter Estimation Technique for Three-Phase DC/AC Converter Using Deep Learning Methods with Different Frequency Band Inputs
In this paper, we estimate the internal state variables of DC/AC 3-phase converter input capacitors according to the input data characteristics of...
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Deep Learning-Based System for Individualized Recommendations
In order to suggest people with appropriate goods or content, recommendation systems are widely employed across a variety of industries, including...
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Knowledge-Based Fuzzy Broad Learning Algorithm for Warning Membrane Fouling
Membrane fouling is a widespread problem that restricts the stable operation of membrane bioreactor (MBR) in wastewater treatment process (WWTP)....
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A Printed Character Recognition System for Meetei-Mayek Script Using Transfer Learning
This paper presents a printed character recognition system for Meetei-Mayek script of Manipuri language. The input to the system is downloaded and...
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Landscape aesthetic quality assessment of forest lands: an application of machine learning approach
Forests, with natural factors, provide visual aesthetic features, as a social ecosystem service for human beings. Nowadays, forest managers are...
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Machine Learning-Based Hybrid Movie Recommendation System
Recommendation systems play a crucial role in providing personalized and relevant experiences for users. By analyzing enormous amounts of data, a...
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Deep learning-based weld defect classification using VGG16 transfer learning adaptive fine-tuning
Welding is a vital joining process; however, occurrences of weld defects often degrade the quality of the welded part. The risk of occurrence of a...
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Gas phase multicomponent detection and analysis combining broadband dual-frequency comb absorption spectroscopy and deep learning
In absorption spectroscopy, analysis of multicomponent gas mixtures becomes challenging when absorption features overlap (blended spectra). Here we...
