OPEN ACCESS
- Comparative analysis of AI techniques in pavement preservation materials: ensemble learning, deep learning, and simplified variance-matching diffusion model based data augmentation
- (uplambda text {-}hspace{2pt}mathcal {CLOVR}): looking for a needle in a haystack: a content-based video big data retrieval system in the cloud
- FCASR: a feature and content-aware service recommender for personalized hotel recommendations using big data
- COLLAR: combating low-rank temporal latent representation for high-dimensional multivariate time series prediction using dynamic Koopman regularization
- eFATA: an efficient fata morgana algorithm for climate change forecasting
- A multimodal fusion model for real-time environment emotion recognition using audio-visual-textual features
- UniqueNOSD: a novel framework for NoSQL over SQL databases
- Natural language processing for extracting consumer sentiment dynamics through multimodal social media analysis to predict microeconomic consumption pattern shifts
- The evolution of the European football transfer network
- Text-to-video generators: a comprehensive survey
- Enhancing LSM trees merge efficiency via coordinated sorted runs partitioning
- Artificial intelligence advances for cashew fruit maturity and quality detection: a systematic review on models, sensors, and farming applications
- A comprehensive review of LLM applications for lung cancer diagnosis and treatment: classification, challenges, and future directions
- Data provider research overview from a public management perspective: a bibliometric analysis utilizing CiteSpace
- HET-VQVAE: a novel encoder-decoder framework for irregularly-sampled multivariate time series of patients
- Emergency hospital selection in Peshawar using fractional Diophantine neural network for risky decision-making
- Block-level masking and feature importance-based adversarial example generation
- Enhanced ransomware attacks detection using feature selection, sensitivity analysis, and optimized hybrid model
- Polytope: an algorithm for efficient feature extraction on hypercubes
- Big data analytics in healthcare: current practices, innovations, and future prospects
- Dynamic adaptive guided IVY Algorithm with search-hide mechanism for feature selection in human activity recognition for IoHT applications
- Advanced multilevel feature fusion framework for enhanced image retrieval using convolutional neural network and benchmark datasets
- A toolbox for volleyball data analytics: a case study on the italian women’s league
- A novel approach to automating unsupervised estimation of class distribution
- A review of distinct machine learning classifiers for healthcare fraud detection
- Scalable unsupervised labeling with SHAP feature selection for fraud detection in imbalanced data
- Digital twins in healthcare: a review of AI-powered practical applications across health domains
- Effects of hearing difficulty on stroke: retrospective cohort and mendelian randomization studies
- Axial compressive behavior of reinforced concrete-filled circular steel tubular columns: finite element and machine learning modelling
- Advancing stock price prediction through the development of hybrid ensembles: a comprehensive comparative analysis of machine learning approaches
- Mamba-optimized transformer framework with dynamic deformation fields for real-time medical image registration
- Crypto foretell: a novel hybrid attention-correlation based forecasting approach for cryptocurrency
- Generative AI in depth: A survey of recent advances, model variants, and real-world applications
- An early and accurate diagnosis and detection of the coronary heart disease using deep learning and machine learning algorithms
- Label knowledge-guided heterogeneous graph contrastive learning for semi-supervised short text sentiment classification
- WalkGCN: a biased sampling strategy for GNNs on non-attributed graphs
- SugarcaneNet: an optimized ensemble of LASSO-regularized pre-trained models for accurate sugarcane disease classification
- Exploring the landscape of post quantum cryptography: a bibliometric analysis of emerging trends and research impact
- Facial emotion recognition using deep Siamese neural networks: multi-classifier fusion for single-emotion and multi-emotion models across age groups
- Unified multi-agent recovery framework via multi-scale diffusion and dependency-aware hierarchical PPO for resilience enhancement
- AI-driven knowledge-data graph for tracking global arbovirus research
- Exploring differential privacy in CNNs, LSTMs, GRUs, and RNNs for heartbeat detection from multimodal data
- Optimizing action recognition: a residual convolution with hierarchical and gram matrix based attention mechanisms
- From chaos to clarity: unraveling credit card fraud with BGVOA-LS
- Self-adaptive analytical querying over schemaless data streams
- Editorial: Post-Mortem interview with Nikola Tesla
- An optimized hybrid ensemble machine learning model combining multiple classifiers for detecting advanced persistent threats in networks
- Unmasking deception: detection of fake profiles in online social ecosystems
- Advancing multimodal emotion recognition in big data through prompt engineering and deep adaptive learning
- Enhancing public art communication through emotional intelligence based on type-2 fractional fuzzy sets
- Empowering sentiment analysis in social media: a comprehensive approach to enhance the classification of abusive Tamil comments using transformer models
- Supervised autoencoder MLP for financial time series forecasting
- BlueEdge: application design for big data cleaning processing using mobile edge computing environments
- A deep learning-based framework for large-scale plant disease detection using big data analytics in precision agriculture
- Task-aware conditional GAN with multi-objective loss for realistic and efficient industrial time series generation
- Correction: Inverse link prediction with graph convolutional networks for knowledge-preserving sparsification in cheminformatics
- Optimizing group utility in itinerary planning: a strategic and crowd-aware approach
- Chat-rgie: precision extraction of rice germplasm data using large language models and prompt engineering
- IECO: an improved educational competition optimizer for state-of-the-art engineering optimization
- Data augmentation for dense passage retrieval using corpus-passage frequency-based token deletion
- AI-driven biomedical perspectives on mental fatigue in the post-COVID-19 Era: trends, research gaps, and future directions
- Truth be told: a multimodal ensemble approach for enhanced fake news detection in textual and visual media
- Leveraging ensemble learning-based stock preselection with multiobjective investment optimization for stepwise decision-supported portfolio management
- Data engineering for sustainable agriculture: developments, challenges, and case studies of a novel IoRT architecture
- BREAST-RANKNet: a fuzzy rank-based ensemble of CNNs with residual learning for enhanced breast cancer detection from ultrasound and mammogram images
- Towards a smart debt collection system: a Design Science Research approach
- Determinating clusters with a higher proportion of long-term care discharges from hospitals: a nationwide Portuguese study using clustering and decision tree methods
- Integrating deep learning and transfer learning: optimizing white blood cells classification in medical educational institutions
- Personalized region of interest recommendation through adaptive fusion of multi-dimensional user preferences
- Towards precision in IoT-based healthcare systems: a hybrid optimized framework for big data classification
- Beyond the outbreak: a review of big data analytics in proactive infectious disease prevention for risk mitigation for COVID-19
- Surface defect detection on bolt surface using a real-time fine-tuned YOLOv6 model
- A guide to similarity measures and their data science applications
- Studying riots through the lens of social media
- Algorithm profiling for architectures with dataflow accelerators
- Dye-cleaning prediction with a variant of nature-inspired algorithms coupled with extreme gradient boosting
- Remote sensing image protection using CTRSU-Net, SegNet + and ensemble learning
- Enhance differential privacy mechanisms for clinical data analysis using CNNs and reinforcement learning
- A deep learning-based adaptive cyber disaster management framework
- TFBlender: a hybrid time series attention model with data-driven macroeconomic perspectives for ELS Knock-In prediction
- Enhancing fraud detection in imbalanced motor insurance datasets using CP-SMOTE and Random Under-Sampling
- Optimization of EEG-based wheelchair control: machine learning, feature selection, outlier management, and explainable AI
- The method for approximate continuous Skyline query based on privacy protection in road network
- Innovative approach for gauge-based QPE in arid climates: comparing neural networks and traditional methods
- Cloud based real-time multivariate multi-step prediction of systolic blood pressure and heart rate using temporal convolutional network and Apache Spark
- Identifying key genetic variants in Alzheimer’s disease progression using Graph Convolutional Networks (GCN) and biological impact analysis
- Sparse sufficient dimension reduction for directional regression
- Intelligent text similarity assessment using Roberta with integrated chaotic perturbation optimization techniques
- A comprehensive survey on machine learning for workplace injury analysis: risk prediction, return to work strategies, and demographic insights
- Metal commodity futures price forecasting based on a hybrid secondary decomposition error-corrected model
- Deep learning-based tumor segmentation and radiogenomic model for predicting EGFR amplification and assessing intratumoural heterogeneity in glioblastoma
- Data science, big data, and machine learning are coming of age
- Combining review elements for modelling various multi-criteria collaborative recommendation models
- EventFormer: a hierarchical neural point process framework for spatio-temporal clustering events prediction
- A novel sub-network level ensemble deep neural network with a regularized loss function to improve prediction performance
- Early crowd forecasting away from stations by geographically complemented regression using transit search and mobility logs
- Extended version of decision making model for industrial robot selection via fractional continuous fuzzy information
- Reassessing the impact of shared experience in football
- Predicting tennis match outcomes mid-game using machine learning on psychological and physical data
- Advancement in public health through machine learning: a narrative review of opportunities and ethical considerations
- Comprehensive review of federated learning challenges: a data preparation viewpoint
- Particle swarm optimization with YOLOv8 for improved detection performance of tomato plants
- Disaggregating IMERG satellite precipitation over Czech Republic: an innovative approach using hybrid Extreme Gradient Boosting based on Fuzzy Spatial-Temporal Multivariate Clustering
- Big Data Analytics in IoT, social media, NLP, and information security: trends, challenges, and applications
- A unified IoT architectural model for smart hospitals: enhancing interoperability, security, and efficiency through clinical information systems (CIS)
- We know who wins: graph-oriented approaches of passing networks for predictive football match outcomes
- Multi strategy Horned Lizard Optimization Algorithm for complex optimization and advanced feature selection problems
ABSTRACT
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