3,042 Result(s)
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Article
Robust consistency learning for facial expression recognition under label noise
Label noise is inevitable in facial expression recognition (FER) datasets, especially for datasets that collected by web crawling, crowd sourcing in in-the-wild scenarios, which makes FER task more challenging...
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Article
An adaptive Q-learning based particle swarm optimization for multi-UAV path planning
In recent times, the path planning of unmanned aerial vehicles (UAVs) in 3D complex flight environments has become a hot topic in the field of UAV technology. Path planning is a crucial process that involves d...
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Article
Open AccessKnowledge graph embedding closed under composition
Knowledge Graph Embedding (KGE) has attracted increasing attention. Relation patterns, such as symmetry and inversion, have received considerable focus. Among them, composition patterns are particularly import...
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Article
Low-dimensional intrinsic dimension reveals a phase transition in gradient-based learning of deep neural networks
Deep neural networks complete a feature extraction task by propagating the inputs through multiple modules. However, how the representations evolve with the gradient-based optimization remains unknown. Here we...
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Retraction Note: Application of empirical mode decomposition (EMD) for automated identification of congestive heart failure using heart rate signals
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Article
An artificial neural network-source apportionment-based prediction model for carbon monoxide from total number of ships calling by ports in Malaysia
Air pollution has been a significant issue in recent years due to rising industrialization and maritime activity around the globe, making air pollution forecasting a crucial concept in environmental study. Thi...
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Open AccessDHR+S: distributed hybrid rendering with realistic real-time shadows for interactive thin client metaverse and game applications
Distributed hybrid rendering (DHR) is a real-time rendering approach that incorporates cloud-based ray tracing with locally rasterized graphics for interactive thin client metaverse and game applications. With...
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Article
Entropy based optimal scale selection and attribute reduction in multi-scale interval-set decision tables
One of the current research gaps in multi-scale data analysis is studying information systems characterized by attributes with interval sets as attribute values and multiple scales. To address this gap, we fir...
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Article
Optimal design and operation of battery energy storage systems in renewable power plants to reach maximum total electric sale revenues
This paper applies jellyfish search optimization algorithm (JSOA) to maximize electric sale revenue for renewable power plants (RNPPs) with the installation of battery energy storage systems (BESS). Wind turbi...
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Artificial Immune System of Secure Face Recognition Against Adversarial Attacks
Deep learning-based face recognition models are vulnerable to adversarial attacks. In contrast to general noises, the presence of imperceptible adversarial noises can lead to catastrophic errors in deep face r...
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Article
Open AccessSeries2vec: similarity-based self-supervised representation learning for time series classification
We argue that time series analysis is fundamentally different in nature to either vision or natural language processing with respect to the forms of meaningful self-supervised learning tasks that can be define...
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Article
High similarity controllable face anonymization based on dynamic identity perception
In the meta-universe scenario, with the development of personalized social networks, interactive behaviors such as uploading and sharing personal and family photographs are becoming increasingly widespread. Co...
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Article
3A-COT: an attend-arrange-abstract chain-of-thought for multi-document summarization
Large language models (LLMs) have shown significant promise in single-document summarization (SDS). However, there has been limited exploration in multi-document summarization (MDS). The primary challenge in M...
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Open AccessSentiment analysis of Canadian maritime case law: a sentiment case law and deep learning approach
Historical information in the Canadian Maritime Judiciary increases with time because of the need to archive data to be utilized in case references and for later application when determining verdicts for simil...
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Article
Open AccessAutomated asthma detection in a 1326-subject cohort using a one-dimensional attractive-and-repulsive center-symmetric local binary pattern technique with cough sounds
Asthma is a common disease. The clinical diagnosis is usually confirmed on a pulmonary function test, which is not always readily accessible. We aimed to develop a computationally lightweight handcrafted machi...
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Article
Improved ant colony algorithm in path planning of a single robot and multi-robots with multi-objective
In order to solve the problem of path planning of a single robot and multi-Robots with multi-objective, an improved ant colony algorithm is proposed.In the improved ant colony algorithm, both local and global ...
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Article
Open AccessEEG decoding for effects of visual joint attention training on ASD patients with interpretable and lightweight convolutional neural network
Visual joint attention, the ability to track gaze and recognize intent, plays a key role in the development of social and language skills in health humans, which is performed abnormally hard in autism spectrum...
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Article
Discriminative latent semantics-preserving similarity embedding hashing for cross-modal retrieval
Recently, there has been a significant increase in interest in cross-modal hashing technology. For hash code learning, most previous supervision methods use label information to create a similarity matrix in a...
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Article
Scheduling with periodic availability constraints to minimize makespan
We study scheduling problems with periodic availability constraints. Each machine is periodically unavailable due to routine arrangements or regular maintenance. The availability periods and unavailability per...
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Article
Video emotional description with fact reinforcement and emotion awaking
Video description aims to translate the visual content in a video with appropriate natural language. Most of current works only focus on the description of factual content, paying insufficient attention to the...
