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Systems and Soft Computing
Scopus
ISSN 2772-9419 · Elsevier · 457 articles in the index
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Journal Article
Dynamic panel regression with fuzzy outputs: A two-stage estimation framework
Traditional panel data models, while effective in managing longitudinal and cross-sectional variations, are not suitable for handling imprecise data in real-world scenarios caused by vagueness, subjectivity or measurement limitations. To address these issues, this paper introduces a fuzzy linear…
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Journal Article
Mathematical Analysis of Real-Time Data Processing Methods for IoT Applications Based on Hesitant Bipolar Fuzzy Dombi Power Operators
The rapid growth of Internet of Things (IoT) technologies has made real-time data processing a critical component for efficient monitoring, analysis, and intelligent decision-making in dynamic and large-scale environments. IoT systems continuously generate massive volumes of heterogeneous data that…
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Journal Article
A hybrid architecture combining physical modeling and neural networks for piano sound synthesis
This paper presents a novel hybrid architecture for piano sound synthesis that combines physical modeling and neural networks. The proposed approach leverages the strengths of both methods by integrating a physical modeling module that simulates the acoustic behavior of piano components with a…
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Journal Article
Hybrid data balancing with MLP probabilities-based categorical boosting model for robust intrusion detection system in IoT environment
The rapid expansion of the Internet of Things (IoT) has led to an estimated 29.3 billion connected devices by 2030, generating over 79.4 zettabytes of data annually. However, IoT networks remain highly vulnerable, with nearly 57% of IoT devices susceptible to cyber threats, including…
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Journal Article
An Arabic intelligent interface for accessing NoSQL document-oriented databases
NoSQL document-oriented databases are widely used to manage large volumes of unstructured and semi-structured data, especially in web applications and Big Data environments. Although flexible and scalable, these databases often require users to understand their structure and specific query…
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Journal Article
Optimizing machine learning models for obesity risk prediction through hyperparameter tuning
Early risk prediction is essential as obesity is a major public health concern associated with numerous chronic conditions. This study evaluates the effectiveness of various machine learning algorithms in predicting obesity risk with a particular focus on Hyperparameter optimisation enhances model…
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Journal Article
Optimized left atrial appendage segmentation via hierarchical cross-scale consistency with gated routing for echocardiography
Accurate left atrial appendage (LAA) delineation is vital for atrial fibrillation-related left atrial appendage occlusion (LAAO) planning and device sizing; yet transthoracic echocardiography (TTE) segmentation is challenged by speckle noise, acoustic shadowing, low or variable contrast, pronounced…
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Journal Article
AI-driven hybrid metaheuristic neural network approaches for medical diagnostics
In recent years, metaheuristic algorithms have gained prominence as powerful computational techniques for solving complex optimization problems across various domains, including healthcare. Their ability to effectively explore vast solution spaces enables them to identify optimal or near-optimal…
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Journal Article
Generation and evaluation mechanism of digital media art pattern design scheme based on interactive genetic algorithm
As digital media art evolves, traditional methods of pattern design can no longer fulfill the increasing demand for personalization and diversity. Consequently, this study introduces a mechanism for generating and evaluating digital media art pattern designs, which is based on an interactive…
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Journal Article
Hybrid prefilling-based library recommended reading study for digital reading
With the rapid development of digital technology, digital reading has gradually replaced traditional paper reading and become the main way for readers to obtain information. Digital reading has promoted the digital transformation of libraries, requiring them to not only manage massive amounts of…
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Journal Article
Design and application of garment art patterns based on visual sample generation
Clothing pattern design plays an important role in clothing aesthetics and market sales. However, with the advancement of technology and changes in consumer aesthetic needs, traditional hand-designed methods have been unable to meet the personalized and diversified pattern needs of contemporary…
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Journal Article
Formal verification of time-bounded BPMN model with message broker using timed automata
Modern business processes are growing their complexity due to concurrency and parallelism of both digital and manual processes with synchronous and asynchronous communications. Therefore, their timing behaviors are hard to predict and verify. Business Process Model and Notation (BPMN) is widely…
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Journal Article
Cross-regional music acoustic feature extraction and emotion perception differences based on GAT and multimodal feature fusion
Accurate cross-regional music emotion prediction is essential for music research and recommendation. In the current research approaches, the focus is put mostly on single acoustic features, making it difficult to mine internal structural relations or incorporate regional culture. Therefore, this…
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Journal Article
Deep learning-based automated fault diagnosis in transmission lines using UAV imagery
Reliable inspection of high-voltage transmission lines is essential for ensuring power grid stability and preventing unexpected failures. Conventional inspection approaches rely on manual patrols or rule-based image analysis, which are time-consuming, costly, and often unreliable under complex…
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Journal Article
Location selection of E-commerce logistics hub integrating Baumol-Wolfe and improved PSO algorithm
In view of the fragmented transportation, high timeliness requirements, and non-linear economies of scale characteristics of e-commerce logistics, this study constructs a location selection model that can accurately quantify the non-linear changing operating costs of e-commerce. In addition, a…
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Journal Article
An automatic method for generating stylized 2D animations of ethnic embroidery patterns based on an improved conditional GAN (cGAN)
This study proposes an automatic method for generating stylized 2D animations of ethnic embroidery patterns using an improved conditional generative adversarial network (cGAN). To address contour–texture mismatch, inter-frame texture drift, and motion flicker, the model adopts a structure–style…
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Journal Article
An AI-driven fuzzy decision support system for adaptive earth pressure control in shield machines
It is essential that Earth pressure balance (EPB) shield machines have optimal earth pressure to help keep the tunnel face stable, ground settlement to a minimum and excavation safe. Yet, traditional earth pressure control techniques are mainly based on experience of the operator or threshold-based…
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Journal Article
Research on multimodal human-computer interaction algorithm integrating DiT and space-time attention characteristics
To address challenges such as time-alignment difficulties, feature-space heterogeneity, and insufficient cross-modal semantic association modelling in multimodal human-computer interaction, this paper proposes a multimodal human-computer interaction algorithm. The algorithm integrates DiT…
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Journal Article
PFF-Net: Personalized physical training action recognition via quality-aware fuzzy fusion and PSO-based calibration
Automatic recognition of physical training actions is important for personalized exercise support, but existing multimodal fusion methods often learn modality weights implicitly, making reliability judgments difficult to interpret under sensor degradation and costly to adapt to new users. This…
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Journal Article
The application of multimodal deep learning in the extraction of art design elements and creative generation
The field of artificial intelligence is changing art and design because it provides new complex ways of analysing and creating visual content. Traditional methods that made use of only one source of data, like text or visual, cannot tend to reflect the richness of artistic styles. To overcome this…