Results 171 to 180 of about 495,121 (361)

Digital Technologies: Description, Classification, and Links to Circular Economy

Business Strategy and the Environment, EarlyView.
ABSTRACT Digital technologies (DTs) and circular economy (CE) are currently two topics that are expected to contribute significantly to sustainable development, and digitization is generally considered a key enabler of CE. However, most studies only cover the most known Industry 4.0 technologies, and very limited research detailing how DTs can support ...
Laura Piedra‐Muñoz, Eva M. García‐Granero, Raphael Ricardo Zepon Tarpani, Alejandro Gallego‐Schmid   +3 more
wiley   +1 more source

Formal support for the ELLA hardware description language [PDF]

, 1995
Howard Barringer, Graham Gough, Brian Monahan, Alan Williams   +3 more
openalex   +1 more source

Task‐Based Board Diversity, Firm Performance, and the Mediating Role of Corporate Sustainability Practices

Business Strategy and the Environment, EarlyView.
ABSTRACT Task‐based diversity among corporate board members, based on specific functional attributes and experiences (age, tenure, and experience) can impact the firm according to both resource‐based view and agency theory. Following this, we explore the relationship between task‐based board diversity and corporate firm performance, analyzing a sample ...
Um‐E‐Roman Fayyaz, Raja Nabeel‐Ud‐Din Jalal, Michelina Venditti, Gianluca Antonucci   +3 more
wiley   +1 more source

Opportunities and Challenges for Circuit Board Level Hardware Description Languages

, 2020
Richard J. Lin, Björn Hartmann
openalex   +2 more sources

A recurrent neural network for soft sensor development using CHO stable pools in fed‐batch process for SARS‐CoV‐2 spike protein production as a vaccine antigen

Biotechnology Progress, EarlyView.
Abstract Fed‐batch recombinant therapeutic protein (RTP) production processes utilizing Chinese Hamster Ovary (CHO) cells can take a long period of time (>10 days). Within this period, not all critical features may be measured routinely, and in fact, some are only measured once the process is terminated, complicating decision making.
Sebastian‐Juan Reyes, Robert Voyer, Yves Durocher, Olivier Henry, Phuong Lan Pham   +4 more
wiley   +1 more source

Application of domain-specific modeling in kinetography and bipedal humanoid robot control. [PDF]

PeerJ Comput Sci
Djukić V, Oros D, Penčić M, Lu Z.
europepmc   +1 more source

CONLAN: a formal construction method for hardware description languages: language application

AFIPS '80, 1899
R. Piloty, M. Barbacci, D. Borrione, D. Dietmeyer, F. Hill, P. Skelly   +5 more
semanticscholar   +1 more source

ML@ChemE: Past, Present, and Future of Machine Learning in Chemical Engineering

ChemBioEng Reviews, EarlyView.
Although the initial machine learning (ML) applications were mainly on fault detection, signal processing, and process modeling, they extended to new areas like property estimation and material screening in later years; energy technologies, environmental issues, health, and new materials will likely be more important in future with the use of larger ...
Pınar Özdemir, Ramazan Yıldırım
wiley   +1 more source

The verilog® hardware description language (fourth edition)

, 1999

openalex   +1 more source

Clinical validation of a real‐time machine learning‐based system for the detection of acute myeloid leukemia by flow cytometry

Cytometry Part B: Clinical Cytometry, EarlyView.
Abstract Machine‐learning (ML) models in flow cytometry have the potential to reduce error rates, increase reproducibility, and boost the efficiency of clinical labs. While numerous ML models for flow cytometry data have been proposed, few studies have described the clinical deployment of such models.
Lauren M. Zuromski, Jacob Durtschi, Aimal Aziz, Jeffrey Chumley, Mark Dewey, Paul English, Muir Morrison, Keith Simmon, Blaine Whipple, Brendan O'Fallon, David P. Ng   +10 more
wiley   +1 more source