OPEN ACCESS
- An accuracy-privacy optimization framework considering user’s privacy requirements for data stream mining
- A fast and accurate segmentation model of lychee tree canopy from UAV remote sensing image based on big data and deep learning
- Self-organizing maps to evaluate optimal strategies for balancing binary class distributions: a methodological approach
- Job recommender systems: a systematic literature review, applications, open issues, and challenges
- Meta-transformer: leveraging metaheuristic algorithms for agricultural commodity price forecasting
- Capturing research literature attitude towards sustainable development goals: an LLM-based topic modeling approach
- Tca4rec: contrastive learning with popularity-aware asymmetric augmentation for robust sequential recommendation
- PF-PSS: a double-layer parallel embedded feature selection method for cancer gene expression data
- Overview of leakage scenarios in supervised machine learning
- On the solution of intuitionistic fuzzy nonlinear Fredholm integral equation using direct computational method
- Overlapping community-based fair influence maximization under a multi-transformation optimization algorithm
- Vision-based detection algorithm for monitoring dynamic change of fire progression
- The wisdom of the lexicon crowds: leveraging on decades of lexicon-based sentiment analysis for improved results
- An adaptive k-means clustering algorithm based on grid and domain centroid weights for digital twins in the context of digital transformation
- FONDUE—Fine-Tuned Optimization: Nurturing Data Usability & Efficiency
- BERT-GraphSAGE: hybrid approach to spam detection
- Optimal Markowitz portfolio using returns forecasted with time series and machine learning models
- Application of supervised machine learning models in human emotion classification using Tsallis entropy as a feature
- Human collective emotional excess by novel Gaidai hypersurface risk prognostics methodology
- Leveraging machine learning to proactively identify phishing campaigns before they strike
- Multivariate response directional regression: a projective resampling approach
- An enhanced alpha evolution moss growth optimizer for prognostic prediction in spontaneous intracerebral hemorrhage
- Enhancing Byzantine robustness of federated learning via tripartite adaptive authentication
- An artificial intelligence platform for predicting postoperative complications in metastatic spinal surgery: development and validation study
- Student academic performance prediction via hypergraph and TabNet
- Tri-Algo guardian ensemble approach for fake news detection in social media
- Fuzzy deep learning architecture for cucumber plant disease detection and classification
- FunDa: scalable serverless data analytics and in situ query processing
- Data imputation in large and small-scale spatiotemporal time series gaps using BackForward Bi-LSTM
- GPSOM: group-based particle swarm optimization with multiple strategies for engineering applications
- A privacy-enhanced framework for collaborative Big Data analysis in healthcare using adaptive federated learning aggregation
- Analyzing key users’ behavior trends in volunteer-based networks
- Unsupervised feature selection and class labeling for credit card fraud
- Evaluating techniques from low-shot learning on traditional imbalanced classification tasks
- Detecting hate in diversity: a survey of multilingual code-mixed image and video analysis
- Optimal strategy for improved estimation of population mean of sensitive variable using non-sensitive auxiliary variable
- Improved RIME algorithm: CEC performance analysis and feature selection experiment of Sino foreign cooperative data sets
- Graph neural network approach with spatial structure to anomaly detection of network data
- A software reliability model for open source big data system considering fault introduction and fault removal efficiency
- FEL-FRN: fusion ECA long-CLIP feature reconstruction network for few-shot classification
- Utilizing AI models to identify and predict phase transition patterns of bipolar disorder patients
- PINN surrogate model for nonlinear equilibrium path analysis of von Mises shallow truss
- A novel ST-iTransformer model for spatio-temporal ambient air pollution forecasting
- Application of deep learning in malware detection: a review
- Identifying influential nodes in weighted complex networks by considering the importance of shortest paths
- Big data in human behavior research: a contextual turn
- Electronic nose and machine learning for modern meat inspection
- Polynomial-SHAP as a SMOTE alternative in conglomerate neural networks for realistic data augmentation in cardiovascular and breast cancer diagnosis
- Leveraging deep learning for risk prediction and resilience in supply chains: insights from critical industries
- Uncertainty-aware approach for multiple imputation using conventional and machine learning models: a real-world data study
- A novel dynamic weighted prediction framework with stability-enhanced dynamic thresholding feature selection for neurodegenerative disease detection using gait features
- Enhanced Binary Kepler Optimization Algorithm for effective feature selection of supervised learning classification
- An AI framework for counterattack detection and decision-making evaluation in football
- An efficient enhanced exponential distribution optimizer: applications in global, engineering, and combinatorial optimization problems
- A novel hybrid neural network-based volatility forecasting of agricultural commodity prices: empirical evidence from India
- Data-driven approaches for predicting Tommy John Surgery risk in major league baseball pitchers
- Effective k-nearest neighbor models for data classification enhancement
- Towards a minimum universal features set for IoT DDoS attack detection
- A twin CNN-based framework for optimized rice leaf disease classification with feature fusion
- A survey of reinforcement and deep reinforcement learning for coordination in intelligent traffic light control
- Mopidip: a modular real-time pipeline for machinery diagnosis and prognosis based on deep learning algorithms
- Attention-based BiLSTM with positional embeddings for fake review detection
- Evaluation of predictive performance of modeling hyperuricemia using medical big data: comparison of data preprocessing methods
- Helformer: an attention-based deep learning model for cryptocurrency price forecasting
- Breast cancer prediction with feature-selected XGB classifier, optimized by metaheuristic algorithms
- SPINEX-anomaly: similarity-based predictions with explainable neighbors exploration for anomaly and outlier detection
- Long-term survival prediction in patients with acute brain lesions using ensemble machine learning algorithms: a cohort study with combined national health insurance service and its self-run hospital database
- An enhanced machine learning framework for accurate diagnosis of tuberculous pleural effusion
- Multi-feature stock price prediction by LSTM networks based on VMD and TMFG
- Correction: Modeling of concrete-filled PVC tube columns confined with CFRP strips under uniaxial eccentric compression: machine learning and finite element approaches
- Aggregation-based partitioning algorithm for traffic congestion in MapReduce
- A secure hybrid deep learning framework for brain tumor detection and classification
- Resampling approaches to handle class imbalance: a review from a data perspective
- Kolmogorov-Arnold networks guided whale optimization algorithm for feature selection in medical datasets
- Value-at-risk student prescription trees for price personalization
- Identification of key drought-tolerant genes in soybean using an integrative data-driven feature engineering pipeline
- Correction: Federated learning-driven IoT system for automated freshness monitoring in resource-constrained vending carts
- Towards algorithmic framing analysis: expanding the scope by using LLMs
- Dataset for unflappable driving: UNFLAPSet
- Unsupervised label generation for severely imbalanced fraud data
- Modelling big data platforms as knowledge graphs: the data platform shaper
- Maximizing data quality while ensuring data protection in service-based data pipelines
- Discovering customer segments through interaction behaviors for home appliance business
- The Standard Deviation Score: a novel similarity metric for data analysis
- Breast cancer diagnosis with MFF-HistoNet: a multi-modal feature fusion network integrating CNNs and quantum tensor networks
- Sub-spatial prediction of votes integrating socioeconomic, educational, and age strata with machine learning and topological data analysis
- Machine learning in biomedical and health big data: a comprehensive survey with empirical and experimental insights
- Adapting security and decentralized knowledge enhancement in federated learning using blockchain technology: literature review
- Adaptive Toeplitz convolution- enhanced classifier for anomaly detection in ECG big data
- Developing a negative speech emotion recognition model for safety systems using deep learning
- Dynamic time-varying transfer function for cancer gene expression data feature selection problem
- LSM tree read-deletion operations optimization through the implementation of cuckoo filters
- Machine learning-based prediction of elliptical double steel columns under compression loading
- Exploring the future of privacy-preserving heart disease prediction: a fully homomorphic encryption-driven logistic regression approach
- SIMER: an accurate and intelligent tool for simulating customizable population data across species in complex scenarios
- Data generation and application using the neutrosophic Erlang distribution
- A reasoning based explainable multimodal fake news detection for low resource language using large language models and transformers
- Interpretable machine learning model to predict the acute occurrence of delirium in elderly patients in the intensive care units: a retrospective cohort study
- Fine grain algorithm parallelization on a hybrid control-flow and dataflow processor
- Machine learning-based interactive dynamic resilience assessment for complex hydropower systems
- Simrec: a similarity measure recommendation system for mixed data clustering algorithms
- Towards scalable medical image compression using hybrid model analysis
- Uncovering employee insights: integrative analysis using structural topic modeling and support vector machines
- Automatic magnetic resonance imaging series labelling for large repositories
- 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
- Deep learning and statistical approaches for area-based PM2.5 forecasting in Hat Yai, Thailand
- Modeling of concrete-filled PVC tube columns confined with CFRP strips under uniaxial eccentric compression: machine learning and finite element approaches
- Enhancing the performance of gradient boosting trees on regression problems
- 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
- Ulnar variance detection from radiographic images using deep learning
- Comparison of algorithms for the recognition of ChatGPT paraphrased texts
- 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
- Quantum-inspired framework for big data analytics: evaluating the impact of movie trailers and its financial returns
- A novel artificial intelligence search algorithm and mathematical model for the hybrid flow shop scheduling problem
- Fast agglomerative clustering using approximate traveling salesman solutions
- Damped weighted erasable itemset mining with time sensitive dynamic environments
- Research on multiple enhanced k combination reverse Skyline query method
- Alzheimer’s disease diagnosis by 3D-SEConvNeXt
- Efficient surface crack segmentation for industrial and civil applications based on an enhanced YOLOv8 model
- 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
- 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
- Exploring sentiment analysis in handwritten and E-text documents using advanced machine learning techniques: a novel approach
- 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
- Transformer enabled multi-modal medical diagnosis for tuberculosis classification
- A systematic review of AI-enhanced techniques in credit card fraud detection
- 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
- Quality assurance strategies for machine learning applications in big data analytics: an overview
- Integrating Big Data, Artificial Intelligence, and motion analysis for emerging precision medicine applications in Parkinson’s Disease
- A review on adversarial–based deep transfer learning mechanical fault diagnosis
- CMMamba: channel mixing Mamba for time series forecasting
- 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
- 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
- Development and evaluation of a deep learning model for automatic segmentation of non-perfusion area in fundus fluorescein angiography
- Evolutionary computation-based self-supervised learning for image processing: a big data-driven approach to feature extraction and fusion for multispectral object detection
- 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
- Inhibitory neuron links the causal relationship from air pollution to psychiatric disorders: a large multi-omics analysis
- Enhancing oil palm segmentation model with GAN-based augmentation
- 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
ABSTRACT
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