F2Fnet: alleviating spectral confusion in time series forecasting via dual Fourier modeling

Subjects: “…Big data and Data science…”
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Sentiment analysis of Amazon product reviews using an inception-based recurrent residual CNN approach

Subjects: “…Big data and Data science…”
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Enhancing aerial human action recognition through GAN-boosted ResNeXt architecture with squeeze-and-excitation network

Subjects: “…Big data and Data science…”
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Democratizing marine restoration best practices in a digital toolbox

Subjects: “…Big data and Data science…”
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A machine learning-based framework for predicting supply delay risk using big data technology

Subjects: “…Big data and Data science…”
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Graph minds and social binds: a hybrid approach to overlapping community detection

Subjects: “…Big data and Data science…”
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A continuous, bounded and uniformly converging -normalization approach for improved classification accuracy and feature entropy

Subjects: “…Big data and Data science…”
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Inf-DLFS: integrating deep learning with optimal feature selection to identifying influential nodes in complex networks

Subjects: “…Big data and Data science…”
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Overfitting, regularisation and condition estimation in regression

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Exploratory analysis of logical and intuitive reasoning in large language models

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Arabic word sense disambiguation: a survey in the era of transformer-based models

Subjects: “…Big data and Data science…”
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CDGRS-LOD model: leveraging linked open data in collaborative cross-domain group recommender system

Subjects: “…Big data and Data science…”
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Deep learning for new fashion product demand prediction: integrating visual similarity and demand correction in cold-start scenarios

Subjects: “…Big data and Data science…”
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SentiVol-GA: a volatility-scaled genetic fusion of predictive models and financial sentiment for adaptive stock forecasting

Subjects: “…Big data and Data science…”
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A parametric distributional reinforcement learning framework for conditional systemic risk estimation

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Machine learning for optimized crop selection: a data-driven approach considering climate and soil type data

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An explainable AI-driven framework integrating SHAP and QFD for transitioning from CRM to CJM in customer-centric optimization

Subjects: “…Big data and Data science…”
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Forecasting refugee migration with high-dimensional covariate space

Subjects: “…Big data and Data science…”
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Hierarchical growth self-generating prototype: an information entropy-based approach for dataset reduction

Subjects: “…Big data and Data science…”
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A systematic review of plant leaf disease detection and classification using machine learning and deep learning techniques

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