![Loading...](https://link.springer.com/static/c4a417b97a76cc2980e3c25e2271af3129e08bbe/images/pdf-preview/spacer.gif)
3,742 Result(s)
-
Article
Open AccessIlluminator: Image-based illumination editing for indoor scene harmonization
Illumination harmonization is an important but challenging task that aims to achieve illumination compatibility between the foreground and background under different illumination conditions. Most current studi...
-
Article
Open AccessA Lightweight Task-Agreement Meta Learning for Low-Resource Speech Recognition
Meta-learning has proven to be a powerful paradigm for transferring knowledge from prior tasks to facilitate the quick learning of new tasks in automatic speech recognition. However, the differences between la...
-
Article
Open AccessDownscaling spatial interaction with socioeconomic attributes
A variety of complex socioeconomic phenomena, for example, migration, commuting, and trade can be abstracted by spatial interaction networks, where nodes represent geographic locations and weighted edges conve...
-
Article
Retraction Note: Soft multimedia anomaly detection based on neural network and optimization driven support vector machine
-
Article
Correction: AGG: attention-based gated convolutional GAN with prior guidance for image inpainting
-
Article
Open AccessFast image recoloring for red–green anomalous trichromacy with contrast enhancement and naturalness preservation
Color vision deficiency (CVD) is an eye disease caused by genetics that reduces the ability to distinguish colors, affecting approximately 200 million people worldwide. In response, image recoloring approaches...
-
Article
Emotion Analysis of COVID-19 Vaccines Based on a Fuzzy Convolutional Neural Network
COVID-19 created immense global challenges in 2020, and the world will live under its threat indefinitely. Much of the information on social media supported the government in addressing this major public healt...
-
Article
Open AccessSWattention: designing fast and memory-efficient attention for a new Sunway Supercomputer
In the past few years, Transformer-based large language models (LLM) have become the dominant technology in a series of applications. To scale up the sequence length of the Transformer, FlashAttention is propo...
-
Article
Open AccessMulti-view GCN for loan default risk prediction
As a significant application of machine learning in financial scenarios, loan default risk prediction aims to evaluate the client’s default probability. However, most existing deep learning solutions treat eac...
-
Article
Open AccessWhen large language models meet personalization: perspectives of challenges and opportunities
The advent of large language models marks a revolutionary breakthrough in artificial intelligence. With the unprecedented scale of training and model parameters, the capability of large language models has bee...
-
Article
Open AccessEffectiveness of spatial measurement model based on SDM-STIRPAT in measuring carbon emissions from transportation facilities
To gain a deeper understanding of the carbon emission mechanism from transportation facilities, all system elements affecting carbon emissions from regional transportation facilities are identified and analyze...
-
Article
Open AccessAdaptive Sliding Mode Fixed-/Preassigned-Time Synchronization of Stochastic Memristive Neural Networks with Mixed-Delays
The paper addresses the fixed-/preassigned-time synchronization of stochastic memristive neural networks (MNNs) with uncertain parameters and mixed delays. Adaptive sliding mode control (ASMC) technology is ma...
-
Article
Open AccessSS-CRE: A Continual Relation Extraction Method Through SimCSE-BERT and Static Relation Prototypes
Continual relation extraction aims to learn new relations from a continuous stream of data while avoiding forgetting old relations. Existing methods typically use the BERT encoder to obtain semantic embeddings...
-
Article
Open AccessRobust and privacy-preserving collaborative training: a comprehensive survey
Increasing numbers of artificial intelligence systems are employing collaborative machine learning techniques, such as federated learning, to build a shared powerful deep model among participants, while keepin...
-
Article
Open AccessMemPol: polling-based microsecond-scale per-core memory bandwidth regulation
In today’s multiprocessor systems-on-a-chip, the shared memory subsystem is a known source of temporal interference. The problem causes logically independent cores to affect each other’s performance, leading t...
-
Article
Open AccessBayesian hierarchical network autocorrelation models for estimating direct and indirect effects of peer hospitals on outcomes of hospitalized patients
When an hypothesized peer effect (also termed social influence or contagion) is believed to act between units (e.g., hospitals) above the level at which data is observed (e.g., patients), a network autocorrela...
-
Article
Open AccessMultiple time servers timed-release encryption based on Shamir secret sharing for EHR cloud system
Electronic health record (EHR) cloud system, as a primary tool driving the informatization of medical data, have positively impacted both doctors and patients by providing accurate and complete patient informa...
-
Article
Publisher Correction: FusionDeformer: text-guided mesh deformation using diffusion models
-
Article
Open AccessA comprehensive survey on the chicken swarm optimization algorithm and its applications: state-of-the-art and research challenges
The application of optimization theory and the algorithms that are generated from it has increased along with science and technology's continued advancement. Numerous issues in daily life can be categorized as...
-
Article
Open AccessOn data efficiency of univariate time series anomaly detection models
In machine learning (ML) problems, it is widely believed that more training samples lead to improved predictive accuracy but incur higher computational costs. Consequently, achieving better data efficiency, that ...