Results 91 to 100 of about 1,594,032 (285)

DATA MINING

, 2020
Most of the transactions have been computerized in day to day life, which in turn produces lot of digital data. For example point-of-sale, internet shopping & browsing, credit cards, information on credit cards, purchase patterns, payment history, sites visited etc.
openaire   +1 more source

Evaluation of Absorbent Solutions for the Integrated CO2 Desorption and Electrolysis

Advanced Sustainable Systems, EarlyView.
Integrated CO2 electrolysis combines desorption and electrolysis to reduce costs and emissions. This study identifies KOH and piperazine as effective absorbents, providing sufficient electrochemically accessible CO2 and compatibility with cell conditions.
Fabian Hauf, Ricarda Kollmuß, Stefan Haufe, Elias Klemm   +3 more
wiley   +1 more source

Sources of mining cost data

, 1969

openalex   +2 more sources

The data warehouse and data mining [PDF]

, 1996
W.H. Inmon
openalex   +1 more source

Predicting Fiber Length Characteristics of Recycled Cotton and Cellulose Fiber Blends Using Machine Learning Models

Advanced Theory and Simulations, EarlyView.
This study explores machine learning‐driven prediction of fiber length characteristics in sustainable yarn blends made from recycled cotton and Lyocell. By analyzing empirical data through models like Random Forest and Gradient Boosting, and interpreting results with SHAP, key fiber length features from the Staple Diagram and Fibrogram are identified ...
Tuser Tirtha Biswas, Michael Will, Nawar Kadi   +2 more
wiley   +1 more source

Continuum Percolation in Anisotropic Rectangles: The Role of Excluded Area and Average Connectivity at the Threshold

Advanced Theory and Simulations, EarlyView.
This work presents a combined analytical–computational approach to quantify the influence of aspect ratio and anisotropic orientation on the percolation behavior of penetrable rectangles. The proposed model reliably predicts the geometric percolation threshold and electrical conductivity of 2D networks, with power‐law fits showing strong agreement with
Danvendra Singh, Daivik Agrawal, Avik P. Chatterjee, Christian Kudisonga, Michael T. Heitzmann, Amit Rawal   +5 more
wiley   +1 more source

Leveraging Transfer Learning to Overcome Data Limitations in Czochralski Crystal Growth

Advanced Theory and Simulations, EarlyView.
A data‐driven framework combining Computational Fluid Dynamics (CFD) simulations and machine learning is proposed to model and optimize Czochralski crystal growth. Using different transfer learning strategies (Warm Start, Merged Training, and Hyperparameter Transfer) the study demonstrates improved predictions for Ge and GaAs growth from Si‐trained ...
Milena Petkovic, Natasha Dropka, Xia Tang, Janina Zittel   +3 more
wiley   +1 more source

Critical review, comparative evaluation, cost update, and baseline data development services in oil shale mining, in-situ liquefaction, and above ground retorting processes from the environmental, permitting, and licensing viewpoints. Volume III. Emission source identification and source-specific pollution control applications. Part 1

, 1981

openalex   +2 more sources

Glucose Deprivation‐Induced Disulfidptosis via the SLC7A11‐INF2 Axis: Pan‐Cancer Prognostic Exploration and Therapeutic Validation

Advanced Science, EarlyView.
Glucose deprivation or GLUT1 inhibition induces disulfidptosis in SLC7A11high ovarian cancer cells by promoting cystine accumulation, NADPH/ATP depletion, and F‐actin disulfide formation. SLC7A11 interacts with INF2 to further increase H₂O₂ levels and impair mitochondrial fission, suppressing cell migration. Targeting the SLC7A11–INF2 axis represents a
Zhenyu Song, Qiuming Yao, Lina Huang, Dan Cui, Jun Xie, Leilei Wu, Jianfeng Huang, Bo Zhai, Dan Liu, Xiao Xu   +9 more
wiley   +1 more source

An Antagonism Between Ethylene Signaling and DNA Methylation Orchestrates the Progression of Leaf Senescence in Non‐heading Chinese Cabbage

Advanced Science, EarlyView.
CMT2 mediates the maintenance of DNA methylation on the promoters of SAGs, thereby inhibiting EIN3A untimely activating SAGs’ expression. Aging‐impelled striking upregulation of EIN3A strongly suppresses the expression of CMT2 to reduce the methylation level, which releases the activation of EIN3A on SAGs, thus initiating and accelerating the ...
Dingyu Zhang, Yong Luo, Han Wang, Xiaofeng Li, Liming Miao, Lu Gao, Haibo Hao, Xinman Wang, Benke Kuai, Hongfang Zhu, Guodong Ren   +10 more
wiley   +1 more source