Computer vision for solid waste sorting: A critical review of academic research
Waste sorting is highly recommended for municipal solid waste (MSW) management.
Increasingly, computer vision (CV), robotics, and other smart technologies are used for MSW …
Increasingly, computer vision (CV), robotics, and other smart technologies are used for MSW …
An introduction to quantum machine learning
Machine learning algorithms learn a desired input-output relation from examples in order to
interpret new inputs. This is important for tasks such as image and speech recognition or …
interpret new inputs. This is important for tasks such as image and speech recognition or …
[图书][B] Mathematics for machine learning
The fundamental mathematical tools needed to understand machine learning include linear
algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability …
algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability …
Predicting property prices with machine learning algorithms
This study uses three machine learning algorithms including, support vector machine (SVM),
random forest (RF) and gradient boosting machine (GBM) in the appraisal of property prices …
random forest (RF) and gradient boosting machine (GBM) in the appraisal of property prices …
[HTML][HTML] Building information modelling, artificial intelligence and construction tech
Adoption of digital information tools in the construction sector provides fertile ground for the
birth and growth of companies that specialize in applications of technologies to design and …
birth and growth of companies that specialize in applications of technologies to design and …
Extreme theory of functional connections: A fast physics-informed neural network method for solving ordinary and partial differential equations
We present a novel, accurate, fast, and robust physics-informed neural network method for
solving problems involving differential equations (DEs), called Extreme Theory of Functional …
solving problems involving differential equations (DEs), called Extreme Theory of Functional …
Vision-based detection of loosened bolts using the Hough transform and support vector machines
Many contact-sensor-based methods for structural damage detection have been developed.
However, these methods have difficulty compensating for environmental effects, such as …
However, these methods have difficulty compensating for environmental effects, such as …
Priors in whole-genome regression: the Bayesian alphabet returns
D Gianola - Genetics, 2013 - academic.oup.com
Whole-genome enabled prediction of complex traits has received enormous attention in
animal and plant breeding and is making inroads into human and even Drosophila genetics …
animal and plant breeding and is making inroads into human and even Drosophila genetics …
[图书][B] Machine learning: a first course for engineers and scientists
This book introduces machine learning for readers with some background in basic linear
algebra, statistics, probability, and programming. In a coherent statistical framework it covers …
algebra, statistics, probability, and programming. In a coherent statistical framework it covers …
Performance anomaly detection and bottleneck identification
O Ibidunmoye, F Hernández-Rodriguez… - ACM Computing Surveys …, 2015 - dl.acm.org
In order to meet stringent performance requirements, system administrators must effectively
detect undesirable performance behaviours, identify potential root causes, and take …
detect undesirable performance behaviours, identify potential root causes, and take …