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A hyperparameter study for quantum kernel methods
Quantum kernel methods are a promising method in quantum machine learning thanks to the guarantees connected to them. Their accessibility for...
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3D-Scene-Former: 3D scene generation from a single RGB image using Transformers
3D scene generation requires complex hardware setups, such as multiple cameras and depth sensors. To address this challenge, there is a need for...
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A Multi-strategy Slime Mould Algorithm for Solving Global Optimization and Engineering Optimization Problems
Aiming at the problems of slow convergence, low accuracy, and easy to fall into local optimum of the slime mould algorithm (SMA), we propose an...
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Cognitive differences in product shape evaluation between real settings and virtual reality: case study of two-wheel electric vehicles
Product shape evaluation is an important part of new product development. In the shape design stage, design schemes are often presented through...
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A semantic-based model with a hybrid feature engineering process for accurate spam detection
Detecting spam emails is essential to maintaining the security and integrity of email communication. Existing research has made significant progress...
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Exploring the dynamics of ICT and globalization on human development in India: asymmetric analysis and policy implications
The present study examines the asymmetrical relationship among globalization (GLB), information communication and technology (ICT), and human...
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A position-enhanced sequential feature encoding model for lung infections and lymphoma classification on CT images
PurposeDifferentiating pulmonary lymphoma from lung infections using CT images is challenging. Existing deep neural network-based lung CT...
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Edge highlighting with depth-dependent opacity gradation of laser-scanned point clouds improves the accuracy of perceived depth in transparent multi-view 3D visualizations
There is an activity called "digital archiving" in which cultural property is digitized for preservation and utilization, and transparent...
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Procedure-Aware Action Quality Assessment: Datasets and Performance Evaluation
In this paper, we investigate the problem of procedure-aware action quality assessment, which analyzes the action quality by delving into the...
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Application of neural networks to predict indoor air temperature in a building with artificial ventilation: impact of early stop**
Indoor air temperature prediction can facilitate energy-saving actions without compromising the indoor thermal comfort of occupants. The aim of this...
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Privacy-preserving matrix factorization for recommendation systems using Gaussian mechanism and functional mechanism
Building a recommendation system involves analyzing user data, which can potentially leak sensitive information about users. As shown in numerous...
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DNA codes over \(GR(2^{3},d)[X]/\langle X^{2},2X \rangle\)
The main results of this paper are in two directions. First, the family of finite local rings of length 4 whose annihilator of their maximal ideals...
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Distributed neuro-fuzzy routing for energy-efficient IoT smart city applications in WSN
Wireless sensor networks (WSNs) enable seamless data gathering and communication, facilitating efficient and real-time decision-making in IoT...
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MDGCL: Graph Contrastive Learning Framework with Multiple Graph Diffusion Methods
In recent years, some classical graph contrastive learning(GCL) frameworks have been proposed to address the problem of sparse labeling of graph data...
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Net versus relative impacts in public policy automation: a conjoint analysis of attitudes of Black Americans
The use of algorithms and automated systems, especially those leveraging artificial intelligence (AI), has been exploding in the public sector, but...
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Parameters optimization and precision enhancement of Takagi–Sugeno fuzzy neural network
Takagi–Sugeno fuzzy neural network (TSFNN) has been widely used in intelligent prediction. The prediction accuracy of TSFNN is impacted by its model...
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Needle tracking in low-resolution ultrasound volumes using deep learning
PurposeClinical needle insertion into tissue, commonly assisted by 2D ultrasound imaging for real-time navigation, faces the challenge of precise...
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A novel fusion feature imageization with improved extreme learning machine for network anomaly detection
As the complexity and quantity of network data continue to increase, accurate and efficient anomaly detection methods become critical. Deep...
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Fake and propaganda images detection using automated adaptive gaining sharing knowledge algorithm with DenseNet121
An additional tool for swaying public opinion on social media is to present recent developments in the creation of natural language. The term “Deep...
