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Supporting environmental decision making: application of machine learning techniques to Australia's emissions

The emerging role of artificial intelligence in multiple sclerosis imaging

Accurate multiple sclerosis detection and prediction using advanced image processing and deep learning

An Innovative framework to improve course and student outcomes

Early Detection of Under-Performing Students Using Machine Learning Algorithms

Predicting Pulmonary Function From the Analysis of Voice: A Machine Learning Approach

Corporate Bankruptcy Prediction: An Approach Towards Better Corporate World

An investigation of credit card default prediction in the imbalanced datasets

A Comparative Study of Machine Learning and Deep Learning Techniques for Fake News Detection

A Brief Review of Acoustic and Vibration Signal-Based Fault Detection for Belt Conveyor Idlers Using Machine Learning Models

A Proposed Framework for Early Prediction of Schistosomiasis

Multiple kernel fusion for event detection from multimedia data in Twitter

On the use of machine learning methods to predict component reliability from data-driven industrial case studies

A Review of the Recent Progress on Crowd Anomaly Detection

Prediction and validation of foliage projective cover from Landsat-5 TM and Landsat-7 ETM+ imagery

Semi-supervised manifold alignment using parallel deep autoencoders

Testing the robustness of manifold learning on examples of thinned-out data

Big Data in IoT Systems

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

Experimental, computational and thermodynamic studies in perovskites metal oxides for thermochemical fuel production: a review

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