Results 151 to 160 of about 122,069 (234)

Enhancing Knowledge and Technology Transfer: Determinants and Indicators of Successful University–Industry Collaboration

open access: yesCorporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT Both universities and companies create value and innovation to maintain their position and remain competitive. Different, but still similar, with two goals that are shared. With their collaboration, they can enhance their pursuit of sustainability and as well corporate social responsibility by creating and delivering value and thus ...
Jana Hojnik   +4 more
wiley   +1 more source

Assessing Climate Change Disclosure and Its Governance Drivers: Insights From the European Utilities Sector

open access: yesCorporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT This study aims to enhance academic understanding of the factors influencing the disclosure practices of climate change among European utility companies, specifically in the context of their sustainability reporting. The primary objective is to explore, through a multi‐theoretical framework, the governance drivers that significantly affect the
Cristina Boţa‐Avram   +2 more
wiley   +1 more source

EventFlow: Real‐time neuromorphic event‐driven classification of two‐phase boiling flow regimes

open access: yesDroplet, EarlyView.
We present a real‐time flow regime classification framework that integrates neuromorphic event‐driven sensing with deep recurrent neural networks. Unlike traditional frame‐based approaches, our system captures sparse event streams from an event‐based camera, representing only the dynamic brightness changes at the individual pixel level.
Sanghyeon Chang   +9 more
wiley   +1 more source

Content-Aware SLIC Super-Pixels for Semi-Dark Images (SLIC++). [PDF]

open access: yesSensors (Basel), 2022
Hashmani MA   +5 more
europepmc   +1 more source

Rockburst prediction based on data preprocessing and hyperband‐RNN‐DNN

open access: yesDeep Underground Science and Engineering, EarlyView.
A data preprocessing workflow is proposed to address challenges in rockburst data analysis. Coupled algorithms preprocess the data set, and hyperband optimization is used to enhance RNN performance. Results show that preprocessing improves accuracy, while dense layers enhance model stability and prediction performance.
Yong Fan   +4 more
wiley   +1 more source

Powerful yet challenging: mechanistic niche models for predicting invasive species potential distribution under climate change

open access: yesEcography, EarlyView.
Risk assessments of invasive species present one of the most challenging applications of species distribution models (SDMs) due to the fundamental issues of distributional disequilibrium, niche changes, and truncation. Invasive species often occupy only a fraction of their potential environmental and geographic ranges, as their spatiotemporal dynamics ...
Erola Fenollosa   +4 more
wiley   +1 more source

The Spirituality-Resilience-Happiness Triad: A High-Powered Model for Understanding University Student Well-Being. [PDF]

open access: yesEur J Investig Health Psychol Educ
Reyes-Perez MD   +8 more
europepmc   +1 more source

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