OPEN ACCESS
- Uncovering employee insights: integrative analysis using structural topic modeling and support vector machines
- A computational analysis of aspect-based sentiment analysis research through bibliometric mapping and topic modeling
- A clustering-based approach for classifying data streams using graph matching
- Multi-strategy enhanced marine predator algorithm: performance investigation and application in intrusion detection
- Automatic magnetic resonance imaging series labelling for large repositories
- Deep learning and statistical approaches for area-based PM2.5 forecasting in Hat Yai, Thailand
- Enhancing the performance of gradient boosting trees on regression problems
- Modeling of concrete-filled PVC tube columns confined with CFRP strips under uniaxial eccentric compression: machine learning and finite element approaches
- Federated learning-driven IoT system for automated freshness monitoring in resource-constrained vending carts
- Multimodal text-emoji fusion using deep neural networks for text-based emotion detection in online communication
- A GDPR-compliant solution for analysis of large-scale genomics datasets on HPC cloud infrastructure
- Bilingual hate speech detection on social media: Amharic and Afaan Oromo
- Comparison of algorithms for the recognition of ChatGPT paraphrased texts
- Ulnar variance detection from radiographic images using deep learning
- Quantum computational infusion in extreme learning machines for early multi-cancer detection
- Survey on terminology extraction from texts
- GeoTemporal clustering for aquifer delineation: a big data approach to synchronizing and analyzing variable-length groundwater time series
- Supervised contrastive pre-training models for mammography screening
- A novel artificial intelligence search algorithm and mathematical model for the hybrid flow shop scheduling problem
- Quantum-inspired framework for big data analytics: evaluating the impact of movie trailers and its financial returns
- Fast agglomerative clustering using approximate traveling salesman solutions
- Damped weighted erasable itemset mining with time sensitive dynamic environments
- Efficient surface crack segmentation for industrial and civil applications based on an enhanced YOLOv8 model
- Research on multiple enhanced k combination reverse Skyline query method
- Alzheimer’s disease diagnosis by 3D-SEConvNeXt
- Big data and urban form: a systematic review
- An efficient binary spider wasp optimizer for multi-dimensional knapsack instances: experimental validation and analysis
- I know your stance! Analyzing Twitter users’ political stance on diverse perspectives
- Binary plant rhizome growth-based optimization algorithm: an efficient high-dimensional feature selection approach
- A problem-agnostic approach to feature selection and analysis using SHAP
- Exploring sentiment analysis in handwritten and E-text documents using advanced machine learning techniques: a novel approach
- Refining prognostic assessment of diffuse large B-cell lymphoma: insights from multi-omics and single-cell analysis unveil SRM as a key target for regulating immunotherapy
- A new dimensionality reduction technique based on the Wavelet Transform for cancer classification
- A new framework to assess the impact of new IT-based technologies on the success of quality management system
- Enhancing cardiac diagnostics: a deep learning ensemble approach for precise ECG image classification
- A systematic review of AI-enhanced techniques in credit card fraud detection
- Transformer enabled multi-modal medical diagnosis for tuberculosis classification
- Correlation-based feature selection of single cell transcriptomics data from multiple sources
- Multi-level lag scheme significantly improves training efficiency in deep learning: a case study in air quality alert service over sub-tropical area
- A deep contrastive learning-based image retrieval system for automatic detection of infectious cattle diseases
- Advancing hospital healthcare: achieving IoT-based secure health monitoring through multilayer machine learning
- Enhancing credit card fraud detection: highly imbalanced data case
- Watch and learn: event-domain term extraction from social networks
- Big data and AI-driven evidence analysis: a global perspective on citation trends, accessibility, and future research in legal applications
- Decentralized big data mining: federated learning for clustering youth tobacco use in India
- Artificial intelligence’s impact on drug delivery in healthcare supply chain management: data, techniques, analysis, and managerial implications
- Topological variable neighborhood search
- Online variational Gaussian process for time series data
- A hybrid Hadoop-based sentiment analysis classifier for tweets associated with COVID-19 utilizing two machine learning algorithms: CNN, and fuzzy C4.5
- Distinguishing novel coronavirus influenza A virus pneumonia with CT radiomics and clinical features
- A systematic review of deep learning applications in database query execution
- Dual-weight decay mechanism and Nelder-Mead simplex boosted RIME algorithm for optimal power flow
- A real-time predicting online tool for detection of people’s emotions from Arabic tweets based on big data platforms
- Data-driven prediction of soccer outcomes using enhanced machine and deep learning techniques
- Advanced ANN regularization-based algorithm for prediction of the fundamental period of masonry infilled RC frames
- An integrated multistage ensemble machine learning model for fraudulent transaction detection
- Big data processing using hybrid Gaussian mixture model with salp swarm algorithm
- The application of adaptive group LASSO imputation method with missing values in personal income compositional data
- Seasonal short-term photovoltaic power prediction based on GSK–BiGRU–XGboost considering correlation of meteorological factors
- Automatic identification and classification of pediatric glomerulonephritis on ultrasound images based on deep learning and radiomics
- A survey of graph convolutional networks (GCNs) in FPGA-based accelerators
- Exploring statistical and machine learning methods for modeling probability distribution parameters in downtime length analysis: a paper manufacturing machine case study
- An assessment of large language models for OpenMP-based code parallelization: a user perspective
- Using topological data analysis and machine learning to predict customer churn
- Low-level turbulence risk assessment and visualization using temporal rate of change of headwind of an aircraft
- Advances in ECG and PCG-based cardiovascular disease classification: a review of deep learning and machine learning methods
- PM2.5 prediction using population-based centrality weight
- Integrating Big Data, Artificial Intelligence, and motion analysis for emerging precision medicine applications in Parkinson’s Disease
- Quality assurance strategies for machine learning applications in big data analytics: an overview
- Siamese Graph Convolutional Split-Attention Network with NLP based Social Sentimental Data for enhanced stock price predictions
- Smt efficiency in supervised ML methods: a throughput and interference analysis
- A review on adversarial–based deep transfer learning mechanical fault diagnosis
- CMMamba: channel mixing Mamba for time series forecasting
- DFRDRL: a dynamic fuzzy routing algorithm based on deep reinforcement learning with guaranteed latency and bandwidth for software-defined networks
- HepScope: CNN-based single-cell discrimination of malignant hepatocytes
- Mosaicking based optimal threshold image enhancement for violence detection with deep quadratic attention mechanism
- Trends in real-time artificial intelligence methods in sports: a systematic review
- Hyperdimensional computing: a framework for stochastic computation and symbolic AI
- SoftLungX: leveraging transfer learning with convolutional neural networks for accurate respiratory disease classification in chest X-ray images
- DroneSilient (drone + resilient): an anti-drone system
- Metamorphosing forex: advancements in volatility forecasting using a modified fuzzy time series framework
- A systematic scrutiny of artificial intelligence-based air pollution prediction techniques, challenges, and viable solutions
- An efficient weighted slime mould algorithm for engineering optimization
- A systematic literature review of neuroimaging coupled with machine learning approaches for diagnosis of attention deficit hyperactivity disorder
- A multi-dimensional hierarchical evaluation system for data quality in trustworthy AI
- IPerFEX-2023: Indonesian personal financial entity extraction using indoBERT-BiGRU-CRF model
- Optimizing poultry audio signal classification with deep learning and burn layer fusion
- Machine learning and deep learning models based grid search cross validation for short-term solar irradiance forecasting
- Shielding networks: enhancing intrusion detection with hybrid feature selection and stack ensemble learning
- Integrating microarray-based spatial transcriptomics and RNA-seq reveals tissue architecture in colorectal cancer
- Leveraging large-scale genetic data to assess the causal impact of COVID-19 on multisystemic diseases
- A model for investment type recommender system based on the potential investors based on investors and experts feedback using ANFIS and MNN
- Evolutionary computation-based self-supervised learning for image processing: a big data-driven approach to feature extraction and fusion for multispectral object detection
- Development and evaluation of a deep learning model for automatic segmentation of non-perfusion area in fundus fluorescein angiography
- Inhibitory neuron links the causal relationship from air pollution to psychiatric disorders: a large multi-omics analysis
- Modeling the impact of BDA-AI on sustainable innovation ambidexterity and environmental performance
- AI sees beyond humans: automated diagnosis of myopia based on peripheral refraction map using interpretable deep learning
- Enhancing oil palm segmentation model with GAN-based augmentation
- Efficient microservices offloading for cost optimization in diverse MEC cloud networks
- Predicting startup success using two bias-free machine learning: resolving data imbalance using generative adversarial networks
- CTGAN-ENN: a tabular GAN-based hybrid sampling method for imbalanced and overlapped data in customer churn prediction
- Automated subway touch button detection using image process
- Cartographies of warfare in the Indian subcontinent: Contextualizing archaeological and historical analysis through big data approaches
- Cybersecurity vulnerabilities and solutions in Ethiopian university websites
- Crude oil price forecasting using K-means clustering and LSTM model enhanced by dense-sparse-dense strategy
- Rs-net: Residual Sharp U-Net architecture for pavement crack segmentation and severity assessment
- Internet of things and ensemble learning-based mental and physical fatigue monitoring for smart construction sites
- Toward a globally lunar calendar: a machine learning-driven approach for crescent moon visibility prediction
- Enhancing K-nearest neighbor algorithm: a comprehensive review and performance analysis of modifications
- Deep SqueezeNet learning model for diagnosis and prediction of maize leaf diseases
- An aspect sentiment analysis model with Aspect Gated Convolution and Dual-Feature Filtering layers
- Context-aware prediction of active and passive user engagement: Evidence from a large online social platform
- Analysis of Graeco-Latin square designs in the presence of uncertain data
- Memetic multilabel feature selection using pruned refinement process
- Sentiment-based predictive models for online purchases in the era of marketing 5.0: a systematic review
- Unlocking the potential of Naive Bayes for spatio temporal classification: a novel approach to feature expansion
- Interpolation-split: a data-centric deep learning approach with big interpolated data to boost airway segmentation performance
- Advancing cybersecurity: a comprehensive review of AI-driven detection techniques
- Fitcam: detecting and counting repetitive exercises with deep learning
- DiabSense: early diagnosis of non-insulin-dependent diabetes mellitus using smartphone-based human activity recognition and diabetic retinopathy analysis with Graph Neural Network
- An adaptive composite time series forecasting model for short-term traffic flow
- Tc-llama 2: fine-tuning LLM for technology and commercialization applications
- An ensemble machine learning model for predicting one-year mortality in elderly coronary heart disease patients with anemia
- Predictive modelling of MapReduce job performance in cloud environments using machine learning techniques
- Hate speech detection in the Bengali language: a comprehensive survey
- Introducing Mplots: scaling time series recurrence plots to massive datasets
- Text summarization based on semantic graphs: an abstract meaning representation graph-to-text deep learning approach
ABSTRACT
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