A review of data-driven fault detection and diagnostics for building HVAC systems

Z Chen, Z O'Neill, J Wen, O Pradhan, T Yang, X Lu… - Applied Energy, 2023 - Elsevier
With the wide adoption of building automation system, and the advancement of data,
sensing, and machine learning techniques, data-driven fault detection and diagnostics …

Sustainability in wood products: a new perspective for handling natural diversity

M Schubert, G Panzarasa, I Burgert - Chemical Reviews, 2022 - ACS Publications
Wood is a renewable resource with excellent qualities and the potential to become a key
element of a future bioeconomy. The increasing environmental awareness and drive to …

Stroke risk prediction with machine learning techniques

E Dritsas, M Trigka - Sensors, 2022 - mdpi.com
A stroke is caused when blood flow to a part of the brain is stopped abruptly. Without the
blood supply, the brain cells gradually die, and disability occurs depending on the area of …

[HTML][HTML] Nutrients deficiency diagnosis of rice crop by weighted average ensemble learning

MSH Talukder, AK Sarkar - Smart Agricultural Technology, 2023 - Elsevier
Rice is one of the most extensively cultivated food crops on the planet, especially in
Bangladesh, China, and India. However, rice production is frequently hampered by nutrient …

A deep learning methodology for predicting cybersecurity attacks on the internet of things

OA Alkhudaydi, M Krichen, AD Alghamdi - Information, 2023 - mdpi.com
With the increasing severity and frequency of cyberattacks, the rapid expansion of smart
objects intensifies cybersecurity threats. The vast communication traffic data between …

Analysis and prediction of students' academic performance based on educational data mining

G Feng, M Fan, Y Chen - IEEE Access, 2022 - ieeexplore.ieee.org
The development of intelligent technologies gains popularity in the education field. The
rapid growth of educational data indicates traditional processing methods may have …

Forecasting of Monkeypox Cases Using Optimized SARIMAX Based Model

M Elshabrawy, MM Eid, AA Abdelhamid… - 2023 3rd …, 2023 - ieeexplore.ieee.org
This study presents a dipper-throated-based ant colony optimization (DTACO) with the
Seasonal Auto-Regressive Integrated Moving Average with eXogenous factor (SARIMAX) …

[HTML][HTML] The dynamics of global public research funding on climate change, energy, transport, and industrial decarbonisation

A AbdulRafiu, BK Sovacool, C Daniels - Renewable and Sustainable …, 2022 - Elsevier
This paper explores the funding trends, topical themes, and notable gaps in global public
research funding across the areas of energy, climate change, transport, and industrial …

Application of machine learning techniques to the analysis and prediction of drug pharmacokinetics

R Ota, F Yamashita - Journal of Controlled Release, 2022 - Elsevier
In this review, we describe the current status and challenges in applying machine-learning
techniques to the analysis and prediction of pharmacokinetic data. The theory of …

A novel deep generative modeling-based data augmentation strategy for improving short-term building energy predictions

C Fan, M Chen, R Tang, J Wang - Building Simulation, 2022 - Springer
Short-term building energy predictions serve as one of the fundamental tasks in building
operation management. While large numbers of studies have explored the value of various …