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A Hybrid Approach to Tea Crop Yield Prediction Using Simulation Models and Machine Learning

A Machine Learning Approach for Identification of Malignant Mesothelioma Etiological Factors in an Imbalanced Dataset

A Machine Learning-Based Model for Stability Prediction of Decentralized Power Grid Linked with Renewable Energy Resources

A Proposed Framework for Early Prediction of Schistosomiasis

An Efficient Deep Learning-Based Skin Cancer Classifier for an Imbalanced Dataset

Computer-Aided Diagnosis of Coal Workers’ Pneumoconiosis in Chest X-ray Radiographs Using Machine Learning: A Systematic Literature Review

Deep Ensemble Learning for the Automatic Detection of Pneumoconiosis in Coal Worker’s Chest X-ray Radiography

A comparative performance analysis of data resampling methods on imbalance medical data

A novel framework for prognostic factors identification of malignant mesothelioma through association rule mining

A novel method for performance measurement of public educational institutions using machine learning models

A review of content-based and context-based recommendation systems

A review of time-series anomaly detection techniques: a step to future perspectives

A review on security challenges in internet of things (IoT)

An analysis of Blessed Friday sale at a retail store using classification models

Trends and directions of financial technology (Fintech) in society and environment: A bibliometric study

V2X-based mobile Localization in 3D wireless sensor network

What is core and what future holds for blockchain technologies and cryptocurrencies: A bibliometric analysis

A comprehensive dataset for bibliometric analysis of SARS and coronavirus impact on social sciences

A model to enhance governance issues through opinion extraction

A survey on machine learning techniques for cyber security in the last decade

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