OPEN ACCESS
- 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
- 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
- Modeling the impact of BDA-AI on sustainable innovation ambidexterity and environmental performance
- Enhancing oil palm segmentation model with GAN-based augmentation
- AI sees beyond humans: automated diagnosis of myopia based on peripheral refraction map using interpretable deep learning
- 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
- Cartographies of warfare in the Indian subcontinent: Contextualizing archaeological and historical analysis through big data approaches
- Automated subway touch button detection using image process
- 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
- An adaptive composite time series forecasting model for short-term traffic flow
- 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
- 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
- Measuring regularity of human physical activities with entropy models
- The adaptive community-response (ACR) method for collecting misinformation on social media
- Optimizing IoT intrusion detection system: feature selection versus feature extraction in machine learning
- Data-driven multinomial random forest: a new random forest variant with strong consistency
- Comprehensive study of driver behavior monitoring systems using computer vision and machine learning techniques
- Machine learning-based network intrusion detection for big and imbalanced data using oversampling, stacking feature embedding and feature extraction
- Algorithms of the Möbius function by random forests and neural networks
- Can we predict multi-party elections with Google Trends data? Evidence across elections, data windows, and model classes
- Deep learning enables the quantification of browning capacity of human adipose samples
- Federated Freeze BERT for text classification
- Conventional dendritic cell 2 links the genetic causal association from allergic asthma to COVID-19: a Mendelian randomization and transcriptomic study
- Survey of transformers and towards ensemble learning using transformers for natural language processing
- Internal dynamics of patent reference networks using the Bray–Curtis dissimilarity measure
- Dual channel and multi-scale adaptive morphological methods for infrared small targets
- A machine learning-based credit risk prediction engine system using a stacked classifier and a filter-based feature selection method
- A novel approach for detecting deep fake videos using graph neural network
- Hybrid wrapper feature selection method based on genetic algorithm and extreme learning machine for intrusion detection
- Generalized Estimating Equations Boosting (GEEB) machine for correlated data
- A review of graph neural networks: concepts, architectures, techniques, challenges, datasets, applications, and future directions
- Block size estimation for data partitioning in HPC applications using machine learning techniques
- Bilingual video captioning model for enhanced video retrieval
- Cyberattack detection in wireless sensor networks using a hybrid feature reduction technique with AI and machine learning methods
- Gct-TTE: graph convolutional transformer for travel time estimation
- CNN-IKOA: convolutional neural network with improved Kepler optimization algorithm for image segmentation: experimental validation and numerical exploration
- The state of metaverse research: a bibliometric visual analysis based on CiteSpace
- Prediction of flight departure delays caused by weather conditions adopting data-driven approaches
- RPf-GCNs: reciprocal perspective driven fused GCNs for rumor detection on social media
- Analysis of customer reviews with an improved VADER lexicon classifier
- Blockchain meets machine learning: a survey
- Data reduction techniques for highly imbalanced medicare Big Data
- Impact of random oversampling and random undersampling on the performance of prediction models developed using observational health data
- Instance segmentation on distributed deep learning big data cluster
- Analysis of imprecise measurement data utilizing z-test for correlation
- Plant disease detection and classification techniques: a comparative study of the performances
- Hybrid beluga whale optimization algorithm with multi-strategy for functions and engineering optimization problems
- Out-of-distribution- and location-aware PointNets for real-time 3D road user detection without a GPU
- A novel intelligent approach for flight delay prediction
- A service-categorized security scheme with physical unclonable functions for internet of vehicles
- Uncertainty-driven generation of neutrosophic random variates from the Weibull distribution
- Aspect-level sentiment classification with fused local and global context
ABSTRACT
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