Results 81 to 90 of about 3,519,928 (392)

Data Mining: A Preprocessing Engine [PDF]

open access: yesJournal of Computer Science, 2006
This study is emphasized on different types of normalization. Each of which was tested against the ID3 methodology using the HSV data set. Number of leaf nodes, accuracy and tree growing time are three factors that were taken into account. Comparisons between different learning methods were accomplished as they were applied to each normalization method.
Basel Kasasbeh   +2 more
openaire   +2 more sources

Analysis of contextual teaching and learning (CTL) in the course of applied physics at the mining engineering department

open access: yes, 2017
Applied Physics is used to comprehend any other technical engineering studies and as the foundation of technology innovation. As one of the curriculum components in helping the students to be competent in certain skills, it is used to develop ...
F. Fadhilah, Z. Effendi, R. Ridwan
semanticscholar   +1 more source

The atypical KRASQ22K mutation directs TGF‐β response towards partial epithelial‐to‐mesenchymal transition in patient‐derived colorectal cancer tumoroids

open access: yesMolecular Oncology, EarlyView.
TGF‐β has a complex role in cancer, exhibiting both tumor‐suppressive and tumor‐promoting properties. Using a series of differentiated tumoroids, derived from different stages and mutational background of colorectal cancer patients, we replicate this duality of TGF‐β in vitro. Notably, the atypical but highly aggressive KRASQ22K mutation rendered early‐
Theresia Mair   +17 more
wiley   +1 more source

Intelligent Mining Engineering Systems in the Structure of Industry 4.0

open access: yes, 2017
The solution of the problem of improving the human environment and working conditions at mines is based on the provision of the rationale of parameters and conditions for the implementation of an environmentally balanced cycle of comprehensive ...
M. Rylnikova, D. Radchenko, D. Klebanov
semanticscholar   +1 more source

Adenosine A3 receptor antagonists as anti‐tumor treatment in human prostate cancer: an in vitro study

open access: yesFEBS Open Bio, EarlyView.
The A3 adenosine receptors (A3ARs) are overexpressed in prostate cancer. AR 292 and AR 357, as A3AR antagonists, are capable of blocking proliferation, modulating the expression of drug transporter genes involved in chemoresistance, ferroptosis, and the hypoxia response, and inducing cell death.
Maria Beatrice Morelli   +15 more
wiley   +1 more source

Digital Mining Technology-Based Teaching Mode for Mining Engineering

open access: yesInternational Journal of Emerging Technologies in Learning (iJET), 2016
In this paper, the main problem in present mining engineering teaching was analyzed. Based on the analysis, the study of bringing digital mining technology into mining engineering teaching was presented.
Zhongqiang Chen   +3 more
semanticscholar   +1 more source

Novel CT radiomics models for the postoperative prediction of early recurrence of resectable pancreatic adenocarcinoma: A single‐center retrospective study in China

open access: yesJournal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose To assess the predictive capability of CT radiomics features for early recurrence (ER) of pancreatic ductal adenocarcinoma (PDAC). Methods Postoperative PDAC patients were retrospectively selected, all of whom had undergone preoperative CT imaging and surgery. Both patients with resectable or borderline‐resectable pancreatic cancer met
Xinze Du   +7 more
wiley   +1 more source

Systems Mining with Heraklit: The Next Step [PDF]

open access: yesarXiv, 2022
We suggest systems mining as the next step after process mining. Systems mining starts with a more careful investigation of runs, and constructs a detailed model of behavior, more subtle than classical process mining. The resulting model is enriched with information about data. From this model, a system model can be deduced in a systematic way.
arxiv  

Bridging Nature and Technology: A Perspective on Role of Machine Learning in Bioinspired Ceramics

open access: yesAdvanced Engineering Materials, EarlyView.
Machine learning (ML) is revolutionizing the development of bioinspired ceramics. This article investigates how ML can be used to design new ceramic materials with exceptional performance, inspired by the structures found in nature. The research highlights how ML can predict material properties, optimize designs, and create advanced models to unlock a ...
Hamidreza Yazdani Sarvestani   +2 more
wiley   +1 more source

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