Results 151 to 160 of about 116,908 (254)

When Do Robots Go Green? Unveiling Mechanisms, Thresholds, and Spillovers of Industrial Robotics on Global Ecological Capacity

Business Strategy and the Environment, EarlyView.
ABSTRACT This paper examines the relationship between industrial robotics adoption and ecological capacity, measured by biocapacity, using panel data from 50 countries over the period 2000–2024. We investigate the transmission mechanisms, non‐linearities, spatial spillovers, and heterogeneity characterizing this relationship.
Brahim Bergougui, Hamid Ghazi H. Sulimany   +1 more
wiley   +1 more source

STGNET: extending panel coverage in imaging-based spatial transcriptomics using deep generative adversarial networks. [PDF]

Brief Bioinform
Wang T, Wang B, Shu H, Zhen P, Hu J, Wang Y, Peng J, Shang X, Wu Z, Xiao B, Chen J.   +10 more
europepmc   +1 more source

Structure‐Function Tailoring of Plasmonic Nanomaterials for Thin‐Film Photovoltaics

Carbon Energy, EarlyView.
This review discusses the mechanisms and recent advancements of plasmonics in achieving effective light management to enhance the performance of thin‐film solar cells. It highlights applications in high‐performance perovskite solar cells and future‐oriented tandem solar cells.
Sen Jiang, Wenhan Yang, Annan Zhu, Yuexin Lin, Zhaohui Xie, Ran Chen, Wenjing Zhu, Jin Liu, Yingjie Zhu, Wenye Jiang, Zhiyuan Gu, Kaiyang Wang, Shengchun Yang, Nan Zhang, Chao Liang   +14 more
wiley   +1 more source

Research on Augmentation of Wood Microscopic Image Dataset Based on Generative Adversarial Networks. [PDF]

J Imaging
Xu S, Su H, Zhao L.
europepmc   +1 more source

Artificial intelligence in enzyme catalysis: Emerging trends and applications in biocatalyst engineering

The Canadian Journal of Chemical Engineering, EarlyView.
Schematic representation of artificial intelligence approaches in enzyme catalysis, integrating bibliometric analysis, emerging research trends, and machine learning tools for enzyme design, prediction, and industrial biocatalytic applications. Abstract This study systematically explores the applications of artificial intelligence (AI) in enzyme ...
Misael Bessa Sales, Francisco Izaias da Silva Aires, Paulo Gonçalves de Sousa Junior, Calebe Da Rocha Silva, Emanuel Lino Rodrigues, Maria Cristiane Martins de Souza, José C. S. dos Santos   +6 more
wiley   +1 more source

Correction: Enhancing buckwheat maturity classification with generative adversarial networks for spectroscopy data augmentation. [PDF]

Front Plant Sci
Wang H, Che X, Nan J, Miao Y, Wang Y, Zhang W, Li F, Han J.   +7 more
europepmc   +1 more source

Autonomous Leadership: How Board Independence Shapes Machine Learning Based Corporate Culture in Thailand

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT Corporate culture is a critical driver of corporate social responsibility, shaping how firms internalize sustainability, social and environmental concerns, yet its governance antecedents are less understood. Motivated by the need to understand how governance structures affect organizational values and behavior, we explore the relationship ...
Sirimon Treepongkaruna, Stefano Starita
wiley   +1 more source

Application of Generative Adversarial Networks to Improve COVID-19 Classification on Ultrasound Images. [PDF]

J Imaging
Silva PSTF, de Sá AMFLM, Pereira WCA, Felix LB, de Seixas JM.   +4 more
europepmc   +1 more source

Sensemaking and CSR Character in Multinational Corporations: A Comparative Study of Headquarters and Subsidiary Practices in the UAE

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT While corporate social responsibility (CSR) scholarship assumes that organizational consistency signals effectiveness, there remains a knowledge gap about how MNCs navigate competing institutional logics between headquarters and subsidiaries. This study investigates how managerial sensemaking mediates the effects of institutional pressures on ...
Charles Antony Diab, Wendy Stubbs
wiley   +1 more source

MedScanGAN: Synthetic PET & CT Scan Generation Using Conditional Generative Adversarial Networks for Medical AI Data Augmentation. [PDF]

Bioengineering (Basel)
Samaras AD, Apostolopoulos ID, Papandrianos N.   +2 more
europepmc   +1 more source