Recent Articles

Open access

ISSN: 2666-3074

Analysis of emotional tendencies and discourse patterns in VKontakte social comments based on Nvivo12 encoding

•Influence of VKontakte Comments: Comments on VKontakte impact government policies, public attitudes, and international relations, making them crucial for analysis.•Emotional Tendencies During COVID-19...

Development of a feature vector for accurate breast cancer detection in mammographic images

Breast cancer remains one of the leading causes of mortality among women, making early and accurate detection crucial for effective treatment. Despite the extensive use of deep learning models in mammographic...

Integrating artificial intelligence and quantum computing: A systematic literature review of features and applications

•Novel synthesis of 30+ studies detailing the state-of-the-art in the integration of AI and QC, highlighting quantum machine learning, optimization techniques, and sector-specific applications.•Identification...

Transforming legal texts into computational logic: Enhancing next generation public sector automation through explainable AI decision support

This research presents a novel approach for translating legal texts into machine-executable computational logic to support the automation of public sector processes. Recognizing the high-stakes implications...

Optimizing ML classifiers for superior intrusion detection in resource-constrained smart homes

•Purpose of ML in Intrusion Detection: The paper discusses the use of machine learning (ML) to develop efficient intrusion detection systems (IDS) for smart home environments, which are vulnerable to...

OcclusionNetPlusPlus: a multi-scale similarity network with adaptive occlusion detection for robust iris recognition

Innovation in ArchitectureWe've developed a uniqueframework that combines multi-scale Gabor filters with an intelligent occlusion detection system. Unlike traditional methods that simply mask out occluded...

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...

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,...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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....

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:...

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....

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...

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...

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...

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...

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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