Machine learning for hydrothermal treatment of biomass: A review
W Zhang, Q Chen, J Chen, D Xu, H Zhan, H Peng… - Bioresource …, 2023 - Elsevier
Abstract Hydrothermal treatment (HTT)(ie, hydrothermal carbonization, liquefaction, and
gasification) is a promising technology for biomass valorization. However, diverse variables …
gasification) is a promising technology for biomass valorization. However, diverse variables …
A review of the machine learning algorithms for COVID-19 case analysis
The purpose of this article is to see how machine learning (ML) algorithms and applications
are used in the COVID-19 inquiry and for other purposes. The available traditional methods …
are used in the COVID-19 inquiry and for other purposes. The available traditional methods …
Coronavirus disease (COVID-19) cases analysis using machine-learning applications
Today world thinks about coronavirus disease that which means all even this pandemic
disease is not unique. The purpose of this study is to detect the role of machine-learning …
disease is not unique. The purpose of this study is to detect the role of machine-learning …
A survey on deep learning in medicine: Why, how and when?
New technologies are transforming medicine, and this revolution starts with data. Health
data, clinical images, genome sequences, data on prescribed therapies and results …
data, clinical images, genome sequences, data on prescribed therapies and results …
[HTML][HTML] Prediction of mental health problem using annual student health survey: machine learning approach
Background One of the reasons why students go to counseling is being called on based on
self-reported health survey results. However, there is no concordant standard for such calls …
self-reported health survey results. However, there is no concordant standard for such calls …
Ready, Steady, Go AI: A practical tutorial on fundamentals of artificial intelligence and its applications in phenomics image analysis
High-throughput image-based technologies are now widely used in the rapidly develo**
field of digital phenomics and are generating ever-increasing amounts and diversity of data …
field of digital phenomics and are generating ever-increasing amounts and diversity of data …
Machine learning algorithms used in PSE environments: A didactic approach and critical perspective
This work addresses recent developments for solving problems in process systems
engineering based on machine learning algorithms. A general description of most popular …
engineering based on machine learning algorithms. A general description of most popular …
Multi-flow optimization of a greenhouse system: A hierarchical control approach
Greenhouses are implemented all over the world to increase agricultural production thanks
to controlled environmental conditions (inside temperature, moisture and CO 2 contents) …
to controlled environmental conditions (inside temperature, moisture and CO 2 contents) …
GrowClust3D. jl: A Julia package for the relative relocation of earthquake hypocenters using 3D velocity models
Relative relocation techniques are widely used to improve the resolution of earthquake
hypocenter positions. Here, we present GrowClust3D. jl—an open‐source software package …
hypocenter positions. Here, we present GrowClust3D. jl—an open‐source software package …
Machine Learning in Computer Aided Engineering
The extraordinary success of Machine Learning (ML) in many complex heuristic fields has
promoted its introduction in more analytical engineering fields, improving or substituting …
promoted its introduction in more analytical engineering fields, improving or substituting …