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Multi-scale error feedback network for low-light image enhancement
Low-light image enhancement is a challenging task because brightness, contrast, noise and other factors must be considered simultaneously. However,...
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Lightweight image super-resolution based on stepwise feedback mechanism and multi-feature maps fusion
In recent years, deep learning has made remarkable breakthroughs in single-image super-resolution (SISR). However, the improvements often come with...
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Image super-resolution reconstruction based on instance spatial feature modulation and feedback mechanism
Image super-resolution reconstruction is a research hotspot in the field of computer vision. Traditional image super-resolution reconstruction...
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Enhancing Ethical Governance of Artificial Intelligence Through Dynamic Feedback Mechanism
The rapid advancement of Artificial Intelligence (AI) has ushered in significant opportunities while also giving rise to profound ethical concerns....
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Improving visual odometry pipeline with feedback from forward and backward motion estimates
Estimating motion from visual cameras has become a promising art in the area of autonomous navigation and constant efforts are being made toward...
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Impedance control based on error feedback for the manipulator of an underwater vehicle-manipulator system
This paper deals with the design of a motion and force control scheme for underwater vehicles, each of which has a manipulator. For a subsea...
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Promoting students’ civic literacy and positive learning behaviors: A supportive feedback-based decision-making gaming approach
Enhancing students’ civic literacy is considered an essential educational goal in the 21st century. Therefore, in the teaching process, how to...
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Ghost-free multi-exposure high dynamic range imaging based on feedback network
In multi-exposure HDR imaging of dynamic scenes, two challenging problems need to be addressed: one is the removal of ghost artifacts, and the other...
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Learner interaction with, and response to, AI-programmed automated writing evaluation feedback in EFL writing: An exploratory study
Recently, artificial intelligence (AI)-programmed automated writing evaluation (AWE) has attracted increasing attention in language research. Using a...
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Toward joint utilization of absolute and relative bandit feedback for conversational recommendation
Conversational recommendation has been a promising solution for recent recommenders to address the cold-start problem suffered by traditional...
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Multichannel Multimodal Emotion Analysis of Cross-Modal Feedback Interactions Based on Knowledge Graph
Multimodal sentiment analysis is a downstream branch task of sentiment analysis with high attention at present. Previous work in multimodal sentiment...
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TAFFIES: Tailored Automated Feedback Framework for Develo** Integrated and Extensible Feedback Systems
Delivering high-quality, timely and formative feedback for students’ code-based coursework submissions is a problem faced by Computer Science (CS)...
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Self-Reinforcing Feedback Domain Adaptation Channel
Unsupervised domain adaptation methods utilize feature re-presentations of instances in the source and target domains to eliminate domain shifts. It...
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Offistretch: camera-based real-time feedback for daily stretching exercises
In this paper, we present OffiStretch, a camera-based system for optimal stretching guidance at home or in the workplace. It consists of a...
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Assessing the AWE-Based Teacher-Assisted Feedback Model for College English Writing Teaching at the Application-Oriented University
The Ministry of Education in China promotes the full use of high-quality teaching software and teaching resources to deepen the reform of college...
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Global adaptive output-feedback tracking with prescribed performance for uncertain nonlinear systems
At present, one typical control strategy for guaranteeing transient and steady-state performance is funnel control and prescribed performance...
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Fast Weakness Identification for Adaptive Feedback
Identifying and addressing areas of weakness of online learning students early on is critically important to prevent minor issues from becoming major...
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Online learning of stable robust adaptive controllers design based on data-dependent feedback linearization with application to rotary inverted pendulum
This study introduces an online (supervised) learning method to design nonlinear auto-regressive moving average (NARMA) controllers for...
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Synchronous Control of Neutral Stochastic Neural Network with Discrete and Distributed Delays Based on Delay Feedback Controller
In this paper, synchronization control of a class of neutral type stochastic neural networks with discrete and distributed delays is studied....
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An acoustic feedback canceler based on probe noise and informative data for hearing aids
One of the important issues encountered in acoustic feedback canceler (AFC) systems is the bias occurring in the estimation of the acoustic feedback...
