Abnormality Detection and Failure Prediction Using Explainable Bayesian Deep Learning: Methodology and Case Study with Industrial Data

Systematic Review of Machine Learning Applications in Mining: Exploration, Exploitation, and Reclamation

(2021) Dahee Jung et al.   Minerals

An Overview on Fault Diagnosis, Prognosis and Resilient Control for Wind Turbine Systems

(2021) Zhiwei Gao et al.   Processes

Knowledge Discovery for Higher Education Student Retention Based on Data Mining: Machine Learning Algorithms and Case Study in Chile

(2021) Carlos A. Palacios et al.   Entropy

Reliability engineering applications in electronic, software, nuclear and aerospace industries: A 20 year review (2000–2020)

(2021) Ahmad Kamal M. Nor et al.   Ain Shams Engineering Journal

Artificial intelligence in the creative industries: a review

(2021) Nantheera Anantrasirichai et al.   ARTIFICIAL INTELLIGENCE REVIEW

A New Approach to Predicting Cryptocurrency Returns Based on the Gold Prices with Support Vector Machines during the COVID-19 Pandemic Using Sensor-Related Data

(2021) Esam Mahdi et al.   SENSORS

Overview of Explainable Artificial Intelligence for Prognostic and Health Management of Industrial Assets Based on Preferred Reporting Items for Systematic Reviews and Meta-Analyses

(2021) Ahmad Kamal Mohd Nor et al.   SENSORS

The Impact of Artificial Intelligence on Data System Security: A Literature Review

(2021) Ricardo Raimundo et al.   SENSORS

A new clustering algorithm based on a radar scanning strategy with applications to machine learning data

(2021) Lin Ma et al.   EXPERT SYSTEMS WITH APPLICATIONS

Can exascale computing and explainable artificial intelligence applied to plant biology deliver on the United Nations sustainable development goals?

(2020) Jared Streich et al.   CURRENT OPINION IN BIOTECHNOLOGY

The unreasonable effectiveness of deep learning in artificial intelligence

(2020) Terrence J. Sejnowski   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Using an autoencoder in the design of an anomaly detector for smart manufacturing

(2020) Antonio L. Alfeo et al.   PATTERN RECOGNITION LETTERS

A dynamic structure-adaptive symbolic approach for slewing bearings’ life prediction under variable working conditions

(2020) Peng Ding et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

FLAGS: A methodology for adaptive anomaly detection and root cause analysis on sensor data streams by fusing expert knowledge with machine learning

(2020) Bram Steenwinckel et al.   Future Generation Computer Systems-The International Journal of eScience

Fouling modeling and prediction approach for heat exchangers using deep learning

(2020) Sreenath Sundar et al.   INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER

Neurorobots as a Means Toward Neuroethology and Explainable AI

(2020) Kexin Chen et al.   Frontiers in Neurorobotics

Explainable AI: A Review of Machine Learning Interpretability Methods

(2020) Pantelis Linardatos et al.   Entropy

Distributed Attention-Based Temporal Convolutional Network for Remaining Useful Life Prediction

(2020) Yan Song et al.   IEEE Internet of Things Journal

A Survey on Explainable Artificial Intelligence (XAI): Toward Medical XAI

(2020) Erico Tjoa et al.   IEEE Transactions on Neural Networks and Learning Systems

Review of Artificial Intelligence Adversarial Attack and Defense Technologies

(2019) Shilin Qiu et al.   Applied Sciences-Basel

Forecasting remaining useful life: Interpretable deep learning approach via variational Bayesian inferences

(2019) Mathias Kraus et al.   DECISION SUPPORT SYSTEMS

Singular value decomposition of noisy data: noise filtering

(2019) Brenden P. Epps et al.   EXPERIMENTS IN FLUIDS

Singular value decomposition of noisy data: mode corruption

(2019) Brenden P. Epps et al.   EXPERIMENTS IN FLUIDS

An Attention-augmented Deep Architecture for Hard Drive Status Monitoring in Large-scale Storage Systems

(2019) Ji Wang et al.   ACM Transactions on Storage

Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI

(2019) Alejandro Barredo Arrieta et al.   Information Fusion

A Review on Prognostics Methods for Engineering Systems

(2019) Jian Guo et al.   IEEE TRANSACTIONS ON RELIABILITY

Peeking inside the black-box: A survey on Explainable Artificial Intelligence (XAI)

(2018) Amina Adadi et al.   IEEE Access

A multi-nets ANN model for real-time performance-based automatic fault diagnosis of industrial gas turbine engines

(2017) Mohammadreza Tahan et al.   Journal of the Brazilian Society of Mechanical Sciences and Engineering