Aaron Bostrom

Particle Swarm Optimization Algorithm and Its Applications: A Systematic Review

Predictive maintenance enabled by machine learning: Use cases and challenges in the automotive industry

Precision Medicine and Artificial Intelligence: A Pilot Study on Deep Learning for Hypoglycemic Events Detection based on ECG

Machine learning in agriculture domain: A state-of-art survey

Current status and future challenges in implementing and upscaling vertical farming systems

AI in health and medicine

Dynamic leaf energy balance: deriving stomatal conductance from thermal imaging in a dynamic environment

Gait Anomaly Detection of Subjects With Parkinson’s Disease Using a Deep Time Series-Based Approach

k-Nearest Neighbour Classifiers - A Tutorial

A hybrid dynamic exploitation barebones particle swarm optimisation algorithm for time series segmentation

Artificial intelligence, machine learning and deep learning in advanced robotics, a review

An intelligent healthcare monitoring framework using wearable sensors and social networking data

Integration of Novel Sensors and Machine Learning for Predictive Maintenance in Medium Voltage Switchgear to Enable the Energy and Mobility Revolutions

An anatomization on breast cancer detection and diagnosis employing multi-layer perceptron neural network (MLP) and Convolutional neural network (CNN)

Machine Learning in Predictive Maintenance towards Sustainable Smart Manufacturing in Industry 4.0

A CNN–LSTM model for gold price time-series forecasting

Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustworthy Artificial Intelligence

Comprehensive Review of Artificial Neural Network Applications to Pattern Recognition

Explainable AI for Time Series Classification: A Review, Taxonomy and Research Directions

Artificial cognition for applications in smart agriculture: A comprehensive review

Stroke Risk Prediction with Machine Learning Techniques

Deep learning for time series classification: a review

The great time series classification bake off: a review and experimental evaluation of recent algorithmic advances

What is cost-efficient phenotyping? Optimizing costs for different scenarios

Combining computer vision and deep learning to enable ultra-scale aerial phenotyping and precision agriculture: A case study of lettuce production

Time-Series Classification with COTE: The Collective of Transformation-Based Ensembles

Time-series classification with COTE: The collective of transformation-based ensembles