Optimizing breast cancer diagnosis: Harnessing the power of nature-inspired metaheuristics for feature selection with soft voting classifiers
December 2025
•Machine learning aids early detection of breast cancer.•Nature-inspired algorithms efficiently identify informative features, enhancing model performance.•Study compares soft voting with machine learning...
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Tennis teaching assistance model based on double chain shared unsupervised action recognition algorithm
December 2025
•A novel double chain shared unsupervised action recognition algorithm is proposed for tennis teaching, enhancing both training quality and accuracy.•The algorithm integrates a dual chain shared structure,...
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Cognitive computing method based on decoding psychological emotional states
December 2025
•Enhanced computational Efficiency: a vector dissimilarity judgment criterion is established to pre-judge dissimilar vectors, improving computational efficiency by 47.8 %.•Synergy between auditory attention...
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The application of GCN algorithm in Building Construction Knowledge Graph updating under the combination of artificial intelligence and knowledge management
December 2025
•Deep learning and computer vision integration: Research combines deep learning and computer vision technology to improve knowledge graph updating in building construction applications.•Zero sample...
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Design of news sentiment classification and recommendation system based on multi-model fusion and text similarity
December 2025
•The study proposes a sentiment classification method that combines multiple models and a recommendation algorithm based on text similarity calculation to enhance the performance of the news recommendation...
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Emotional analysis of broadcasting and hosting speech by integrating grid PSO-SVR and PAD models
December 2025
•Innovative Sentiment Analysis Model: The study introduces a novel broadcasting and hosting speech sentiment analysis model that integrates advanced optimization algorithms and emotion dimensions to...
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Text clustering with large language model embeddings
December 2025
Text clustering is an important method for organising the increasing volume of digital content, aiding in the structuring and discovery of hidden patterns in uncategorised data. The effectiveness of...
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Speech emotion recognition algorithm of intelligent robot based on ACO-SVM
December 2025
•An ACO-SVM robot speech emotion recognition model is proposed, and its recognition accuracy is improved significantly.•Multilevel classification strategy and novel algorithm are combined to solve the...
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The application of improved SURF optical flow algorithm in seismic support safety monitoring system
December 2025
•Combination of stable feature acceleration feature point matching with optical flow algorithm: the study attempts to integrate stable feature acceleration feature point matching with the optical flow...
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Data-driven brain emotional learning-based intelligent controller-PID control of MIMO systems based on a modified safe experimentation dynamics algorithm
December 2025
•Enhanced MSEDA addresses limitations of the original SEDA.•New probability coefficient in MSEDA optimizes exploration and exploitation phases.•MSEDA-based approach tunes BELBIC-PID controller for high...
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A strategy for network multi-layer information fusion based on multimodel in user emotional polarity analysis
December 2025
•Graph convolutional neural networks are used for message passing in sentiment analysis.•Multi-model fusion strategy enhances sentiment analysis accuracy, integrating text, image, and video data.•Study...
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Sentiment analysis method of consumer reviews based on multi-modal feature mining
December 2025
•Two-stage fusion for e-commerce sentiment analysis.•Preserves modal uniqueness and correlation.•Enhances accuracy, adaptability via cross-attention and mask graph transformer....
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Enhanced priority based task scheduling with integrated fault tolerance in distributed systems
December 2025
•Novel Task Scheduling Metric: Introduces a novel ranking metric for task scheduling in cloud computing, improving upon traditional replication and checkpointing methods.•Priority-Based Fault Tolerance:...
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An interactive address matching method based on a graph attention mechanism
December 2025
Modernizing and standardizing place names and addresses is a key challenge in the development of smart cities....
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Leveraging cognitive computing for advanced behavioral and emotional data insights
December 2025
The rapid advancement of cognitive computing has reshaped the landscape of behavioral and emotional data analysis across multiple fields. In the area of student mental health research, cognitive computing...
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A class imbalance aware hybrid model for accurate rice variety classification
December 2025
•Global Significance: with over 3.5 billion people relying on rice as a staple food globally, precise rice classification is crucial.•Difficulties with class Imbalance: underrepresented rice varieties...
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Automatic Speech Recognition: A survey of deep learning techniques and approaches
December 2025
Significant research has been conducted during the last decade on the application of machine learning for speech processing, particularly speech recognition. However, in recent years, deep learning...
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Yoga practices effect on VCSS-based classification of patients with chronic venous insufficiency based on hybrid machine learning algorithms
December 2025
•Intersection of Healthcare and Technology: The study explores the potential of non-pharmacological interventions like yoga in reducing the urgency of chronic venous insufficiency (CVI), especially...
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MED-AGNeT: An attention-guided network of customized augmentation of samples based on conditional diffusion for textile defect detection
December 2025
Fabric defect detection plays a vital role in ensuring the production quality of the textile manufacturing industry. However, in practice, there are relatively few manually annotated defective samples,...
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ECG-based transfer learning for cardiovascular disease: A scoping review
December 2025
An electrocardiogram (ECG) measures the electrical activity of the heart. It is valuable for the early detection of cardiovascular disease (CVD). Advancements in medical diagnosis using artificial intelligence...
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Image clearness processing for image restoration based on generative adversarial networks
December 2025
•Innovative technique combining GANs and multi-scale attention mechanism.•Superior image restoration results and high PSNR values.•Enhanced stability and low error for improved image recognition ac...
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Prenatal depression level prediction using ensemble based deep learning model
December 2025
Many people find that the emotional and mental strain of labor and delivery is greater than they anticipated. However, there are few reports on stress levels during pregnancy, and there is limited research...
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Deep learning for object recognition: A comprehensive review of models and algorithms
December 2025
The rapid advancements in artificial intelligence (AI) and machine learning (ML) have significantly enhanced progress in computer vision, opening doors to innovative technological possibilities and...
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Hybrid Models for Forecasting Allocative Localization Error in Wireless Sensor Networks
December 2025
•Objective: The study aims to predict Allocative Localization Error (ALE) in Wireless Sensor Networks (WSNs) using Machine Learning (ML) models to enhance data credibility and network productivity.•ML...
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An improved quantum-inspired particle swarm optimisation approach to reduce energy consumption in IoT networks
December 2025
•Energy-efficient clustering of IoT networks is formulated as a mathematical program that takes into account all the energy constraints and promotes the selection of routing paths that minimize energy...
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