Results 231 to 240 of about 2,661 (306)

Computation of 2D 8×8 DCT Based on the Loeffler Factorization Using Algebraic Integer Encoding

open access: green, 2018
Diego F. G. Coelho   +5 more
openalex   +2 more sources

Fractal Anatomy of Human Organs: A Narrative Review of Structure, Function, and Clinical Perspectives

open access: yesClinical Anatomy, EarlyView.
ABSTRACT Fractal geometry describes complex, self‐similar patterns that repeat across spatial scales and is increasingly recognized as relevant in anatomical research. Indeed, the fractal organization is consistently observed in respiratory, cardiovascular, gastrointestinal, nervous, renal, hepatic, and dermatological systems.
Immacolata Belviso   +7 more
wiley   +1 more source

Mid‐Infrared Spectroscopy and Machine Learning for Chlorogenic Acid Quantification in Coffee

open access: yesChemie Ingenieur Technik, EarlyView.
Chlorogenic acid (CGA) concentration in coffee was predicted using mid‐infrared (MIR) spectroscopy and a machine learning approach. Forty‐four roasting stages (140–220 °C) plus a green coffee control were analyzed. A multilayer perceptron regressor, trained on preprocessed MIR data, outperformed traditional peak analysis, enabling accurate and ...
Deborah Herdt   +6 more
wiley   +1 more source

Speed up integer-arithmetic-only inference via bit-shifting. [PDF]

open access: yesSci Rep
Song M   +5 more
europepmc   +1 more source

Sparse integer-preserving Gram–Schmidt orthogonalization for REF QR factorization [PDF]

open access: hybrid
Lorena Mejia-Domenzain   +2 more
openalex   +1 more source

Investigation of microalgal tolerance and growth in simulated tailings pond water containing naphthenic acids

open access: yesThe Canadian Journal of Chemical Engineering, EarlyView.
Abstract Oil sands tailings ponds, such as those in northeastern Alberta, present environmental challenges due to slow sedimentation, water entrapment, and toxic naphthenic acids (NAs), which hinder water reclamation. This study assessed the tolerance and biodegradation potential of Chlorella vulgaris (C.
Amin Kalbasi, Amarjeet Bassi
wiley   +1 more source

Predicting solar cell efficiencies using historical data from a manufacturing process

open access: yesThe Canadian Journal of Chemical Engineering, EarlyView.
Abstract The solar cell manufacturing data of a passivated emitter and rear cell solar cell manufacturing plant was studied to assess the effects of tool usage and the processing time spent on each tool on the solar cell efficiency. Since manufacturing processes involve several steps with multiple tools, tracing their quality parameters back to the ...
Sushmita Mittra, Vinay Prasad
wiley   +1 more source

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