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ISSN: 2666-3074

Optimizing breast cancer diagnosis: Harnessing the power of nature-inspired metaheuristics for feature selection with soft voting classifiers

•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

•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

•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

•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

•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

•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

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

•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

•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

•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

•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

•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

•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

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

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

•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

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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MED-AGNeT: An attention-guided network of customized augmentation of samples based on conditional diffusion for textile defect detection

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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Yoga Practices Effect on VCSS-based Classification of Patients with Chronic Venous Insufficiency based on Hybrid Machine Learning Algorithms

•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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A novel and secured email classification and emotion detection using hybrid deep neural network

•A challenge that hasn't been fully solved yet is measuring semantic relationships and similarities of WordNet ontologies to semantically reduce email functionality.•As far as aware no research has...

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Exploring static rebalancing strategies for dockless bicycle sharing systems based on multi-granularity behavioral decision-making

•We propose an adjustable MG CIF PRT based on the TWD framework. This method expands the range of choices for DMs across different granularities and enhances the accuracy of decision outcomes.•We put...

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Novel Darknet traffic data synthesis using Generative Adversarial Networks enhanced with oscillatory Growing Cosine Unit activated convolution layers

•Created a Generative Adversarial network which generates training and testing data for Darknet traffic which is otherwise very difficult to capture.•Enhanced the performance of the GAN by using an...

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Analyze the impact of feature selection techniques in the early prediction of CKD

•Early prediction of CKD is a challenging task.•Machine Learning (ML) Techniques play a significant role.•Optimal feature selection by EFS.•Importance of feature selection in CKD analysis....

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DDSS: Driver decision support system based on the driver behaviour prediction to avoid accidents in intelligent transport system

•Driver behaviour prediction algorithm constructed based on driver physical parameters and external parameters.•Driver physical parameters measures the driver drowsiness and alcohol consumption and...

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From predictive analytics to emotional recognition–The evolving landscape of cognitive computing in animal welfare

•Cognitive computing reshapes agriculture & livestock.•Cognitive systems mimic human thought, impacting farming.•Computing detects animal behavior nuances for well-being.•Ethical use of computing is...

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