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1 - 10 of 47
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 Machine learning for earth sciences: using Python to solve geological problems
Petrelli M., Springer International Publishing, Cham, Switzerland, 2023. 209 pp. Type: Book (9783031351136)
Machine learning is everywhere, not just in application areas that we hear about every day. Learning systems have the potential to positively impact society through their application to fields ranging from finance and public health to the earth sc...
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Jan 1 2024 |
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Machine learning algorithms to forecast air quality: a survey
Méndez M., Merayo M., Nunez M. Artificial Intelligence Review 56(9): 10031-10066, 2023. Type: Article
Forecasting air pollution levels can enable important public health actions such as traffic modification, self-protection steps by individuals at risk, and measures such as burn bans. The authors use this book to document an impressive survey of t...
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Dec 11 2023 |
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A survey on deep neural network-based image captioning
Liu X., Xu Q., Wang N. The Visual Computer 35(3): 445-470, 2019. Type: Article, Reviews: (1 of 2)
Automated image captioning is the task of generating a useful and accurate description of an image without manual input. An ideal system, when shown an image, generates a summary such as “the mailman is running from a large, ...
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Jul 19 2019 |
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Vector extrapolation methods with applications
Sidi A., SIAM-Society for Industrial and Applied Mathematics, Philadelphia, PA, 2017. 447 pp. Type: Book (978-1-611974-95-9), Reviews: (1 of 2)
Most nontrivial data in engineering and science is composed of vectors. Linear algebra and multivariate statistics provide the well-known tools for the analysis of vector data, but an often overlooked problem is the estimation of limit...
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Jun 25 2019 |
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Predictive statistics: analysis and inference beyond models
Clarke B., Clarke J., Cambridge University Press, New York, NY, 2018. 656 pp. Type: Book (978-1-107028-28-9)
As stated in the preface, Predictive statistics “is an attempt to focus more heavily on the data than the formalism and to focus more heavily on the performance of predictors rather than the fit or physical interpretat...
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Dec 24 2018 |
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First-order methods in optimization
Beck A., SIAM-Society for Industrial and Applied Mathematics, Philadelphia, PA, 2017. 494 pp. Type: Book (978-1-611974-98-0)
The author of First-order methods in optimization defines the book’s subject matter as optimization methods that rely on function “values and gradients/subgradients (but not Hessians).” The most fam...
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Oct 31 2018 |
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Comparative analysis of ellipsoidal methods for distributed data fusion
Bakr M., Lee S. IMCOM 2018 (Proceedings of the 12th International Conference on Ubiquitous Information Management and Communication, Langkawi, Malaysia, Jan 5-7, 2018) 1-8, 2018. Type: Proceedings
In multisensor systems, the fusion of information from multiple sensors can be done globally or locally in distributed “fusion centers.” The distributed approach has advantages in reliability, fault tolerance, and e...
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Jul 11 2018 |
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Decomposing images into layers via RGB-space geometry
Tan J., Lien J., Gingold Y. ACM Transactions on Graphics (TOG) 36(1): 1-14, 2016. Type: Article
The notion of representing a color image as a set of translucent layers, each of a single (non-primary) color, is useful in the field of digital image painting. Although the layering is not present in the source image, and may or may n...
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Jun 22 2018 |
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Real-time fingerprint image enhancement with a two-stage algorithm and block-local normalization
Kočevar M., Kotnik B., Chowdhury A., Kačič Z. Journal of Real-Time Image Processing 13(4): 773-782, 2017. Type: Article
Personal identification through the use of fingerprints is probably the most used biometric modality, and its accuracy is crucial in applications critical to society and business. Improved methods for preprocessing, feature extraction,...
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Mar 28 2018 |
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Boolean differential calculus
Steinbach B., Posthoff C., Morgan & Claypool Publishers, San Rafael, CA, 2017. 216 pp. Type: Book (978-1-627059-22-0)
Boolean algebra is the study and use of system representations where each quantity has only two possible values. Because they represent many real-world variables, especially in computing machinery, Boolean systems are widely used but a...
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Jan 18 2018 |
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