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Universal Notice Networks: Transferring Learned Skills Through a Broad Panel of Applications
Despite great achievements of reinforcement learning based works, those methods are known for their poor sample efficiency. This particular drawback...
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Application of sound detection in network music teaching system based machine learning
6G technology is still in the early stage of research. It is expected that in the next few years, a worldwide consensus on the development prospects...
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Construction and implementation of mobile learning system for higher education based on modern wireless network mobile communication terminal technology
With the rapid development of wireless technology and Mobile communication technology worldwide, Mobile Learning represents a new learning trend in...
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Application of 6G Driver and Deep Learning in Marketing Data Mining System
The fashion business is shifting towards sustainability, emphasising personalised clothing creation to accommodate various customer tastes while...
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Intelligent Surveillance System Using Deep Learning
With the recent developments in the object detection and face recognition areas, the creation of practical video surveillance systems with built-in...
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IGDM: Image-Based Grading System of Downy Mildew in Cucumber Using Digital Image Processing and Unsupervised Learning
Downy mildew, caused by Pseudoperonospora cubensis, causes severe losses in crops, especially cucurbits, by destroying them and making them unfit for...
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Nonlinear time-frequency iterative learning control for micro-robotic deposition system using adaptive Fourier decomposition approach
This study presents a cutting-edge approach to design iterative learning control (ILC) in micro-robotic deposition systems, utilizing nonlinear...
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Hyper-Enhanced Feature Learning System for Emotion Recognition
The human body as an entire structure of a person contains physiological and physical reactions that connect with emotions. Emotions can be thought...
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A Deep Learning-Based Upper Limb Rehabilitation Exercise Status Identification System
There is a broad consensus that stroke rehabilitation interventions within the first 3–6 months after stroke can result in maximizing post-stroke...
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Application of intelligent recommendation system based on deep learning algorithm in university library talent training
Intelligent recommendation system can greatly save users' time and energy by asking for relevant information and providing powerful guidance and help...
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Analyzing Malware from System Calls by Using Machine Learning
The popular open-source operating system Android is quite vulnerable to malware threats. To identify malicious programs, researchers have created...
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A secure and intelligent public distribution system (SIPDS) based on deep learning and Ethereum using predictive analytics for supply chain services
This research introduces Secure and Intelligent Public Distribution System (SIPDS), a novel blockchain-based solution that enhances the efficiency...
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Intelligent Actor-Critic Learning Control for Collison-Free Trajectory Tracking of Mecanum-Wheeled Mobile Robots
In the paper, an intelligent actor-critic learning control method augmented by a fuzzy broad learning system with output recurrent feedback...
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A Procedural Constructive Learning Mechanism with Deep Reinforcement Learning for Cognitive Agents
Recent advancements in AI and deep learning have created a growing demand for artificial agents capable of performing tasks within increasingly...
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DBL-MPE: Deep Broad Learning for Prediction of Response to Neo-adjuvant Chemotherapy Using MRI-Based Multi-angle Maximal Enhancement Projection in Breast Cancer
Neo-adjuvant chemotherapy (NAC) is one of the main treatments in breast cancer, given before surgery to reduce the tumor's size and increase the...
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A Broad Range Triboelectric Stiffness Sensor for Variable Inclusions Recognition
With the development of artificial intelligence, stiffness sensors are extensively utilized in various fields, and their integration with robots for...
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Intelligent Adaptive PID Control Using Fuzzy Broad Learning System: An Application to Tool-Grinding Servo control Systems
This paper presents an intelligent adaptive proportional-integral-derivative (PID) control method using fuzzy broad learning system (FBLS) and...
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Enhancing Intrusion Detection System Using Machine Learning and Deep Learning
Intrusion Detection Systems (IDS) are critical components in ensuring the security and integrity of computer networks by identifying and thwarting...
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Robot autonomous gras** and assembly skill learning based on deep reinforcement learning
This paper proposes a deep reinforcement learning-based framework for robot autonomous gras** and assembly skill learning. Meanwhile, a deep...
