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Continuous sign language recognition based on iterative alignment network and attention mechanism
The biggest challenge of continuous sign language recognition is the weak supervision of sign language labels. This paper proposes a continuous sign...
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Iterative magnitude pruning-based light-version of AlexNet for skin cancer classification
Convolutional Neural Networks (CNN) with different architectures have shown promising results in skin cancer diagnosis. However, CNN has a high...
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Unsupervised feature selection based on incremental forward iterative Laplacian score
Feature selection facilitates intelligent information processing, and the unsupervised learning of feature selection has become important. In terms...
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An Iterative Process for the Evaluation of a Mobile Application Prototype
This study is part of a research conducted under the CeNTER Program, an interdisciplinary project that aimed to promote the development of the Centro...
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Iterative Reasoning over Knowledge Graph
The concept reasoning is an essential task in text data management and understanding. Recent methods usually capture shallow semantic features and...
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Fostering Access to Cultural Heritage Knowledge: Iterative Design for the Visit of Historical Monuments
Following the trend towards open data, various cultural organisations offer information about their collections. However, these knowledge bases are...
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ADABA: improving the balancing between runtime and accuracy in a new distributed version of the alpha–beta algorithm
The satisfactory performance of the intelligent agents conceived to solve several real-life problems requires efficient decision-making algorithms....
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Iterative Bounded Synthesis for Efficient Cycle Detection in Parametric Timed Automata
We study semi-algorithms to synthesise the constraints under which a Parametric Timed Automaton satisfies some liveness requirement. The algorithms...
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Transformer-based image super-resolution and its lightweight
Transformer has shown remarkable performance improvements over convolutional neural network (CNN) in natural language processing and high-level...
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Rendering acceleration based on JND-guided sampling prediction
When using Monte Carlo Path Tracing (MCPT) method to render 3D scenes, artifacts may occur due to insufficient sampling, and directly increasing the...
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SVFLDetector: a decentralized client detection method for Byzantine problem in vertical federated learning
In recent years, with the deepening of cross-industry cooperation, vertical federated learning with multiple overlap** samples and fewer...
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Fast and Optimal Planner for the Discrete Grid-Based Coverage Path-Planning Problem
This paper introduces a new algorithm for solving the discrete grid-based coverage path-planning (CPP) problem. This problem consists in finding a...
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A novel vertical-cross-horizontal network
In order to integrate the ability of feature extraction of deep structure and short training time of broad structure, we propose a novel...
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Filter-cluster attention based recursive network for low-light enhancement
The poor quality of images recorded in low-light environments affects their further applications. To improve the visibility of low-light images, we...
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Socializing in Interference \(:\) Quantum-Inspired Topic Model with Crystal-Like Structure Grid for Microblog Topic Detection
Capturing highly coherent topics from large-scale informal social media messages has always been a challenging task. Existing topic models fail to...
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Receptivity: Fostering Respectful Conversations in the Digital Public Sphere
The rapid advancement of digital technologies has reshaped educational environments, presenting both opportunities and challenges in enhancing...
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Parallel algorithm design and optimization of geodynamic numerical simulation application on the Tianhe new-generation high-performance computer
CitcomCu is a numerical simulation software for mantle convection in the field of geodynamics, which can simulate thermo-chemical convection in a...
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A lightweight capsule network via channel-space decoupling and self-attention routing
Compared to traditional convolutional neural networks (CNNs), the Capsule network (CapsNet), due to its capsule-based design that aligns better with...
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When stigmatization does not work: over-securitization in efforts of the Campaign to Stop Killer Robots
This article reflects on securitization efforts with respect to ‘killer robots’, known more impartially as autonomous weapons systems (AWS). Our...
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Memory-Augmented Deep Unfolding Network for Guided Image Super-resolution
Guided image super-resolution (GISR) aims to obtain a high-resolution (HR) target image by enhancing the spatial resolution of a low-resolution (LR)...
