Results 191 to 200 of about 296,811 (276)

Optimized environmental prediction in smart buildings using Dynamic Greylag Goose algorithm and deep learning. [PDF]

Sci Rep
Kenawy S, Alhussan AA, Khafaga DS, Mattar EA, Zaman S, Eid MM.   +5 more
europepmc   +1 more source

Copula‐based joint modelling of emergency department visits with time‐varying dependence

Canadian Journal of Statistics, EarlyView.
Abstract Jointly modelling multiple correlated count time series is essential in health services research, where outcomes like emergency visits for mental health and substance use often evolve together. Ignoring these dependencies can obscure meaningful trends and limit the effectiveness of policy evaluation.
Guanjie Lyu, Cindy Feng, Lihui Liu
wiley   +1 more source

Data-driven modeling of water adsorption isotherms in cocoa beans: Dataset and Python-based Machine Learning tools for multivariate analysis and storage management. [PDF]

Data Brief
Bahamón-Monje AF, Collazos-Escobar GA, Gutiérrez-Guzmán N.   +2 more
europepmc   +1 more source

Beyond Symbolism: Examining the Impact of Sustainable Finance on Product Responsibility and the Moderating Role of Board Environmental Expertise—Evidence From UK Non‐Financial Firms

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT Despite the growing emphasis on sustainable finance in today's corporate landscape, its impact on product responsibility remains underexplored, particularly the moderating role of board environmental expertise. This study addresses these gaps by examining non‐financial companies listed on the London Stock Exchange, chosen for the UK's ...
Bright Akwasi Gyamfi, Richard Arhinful, Leviticus Mensah, Hayford Asare Obeng, Simplice A. Asongu   +4 more
wiley   +1 more source

Modelling C-arm fluoroscopy and operating table kinematics via machine learning. [PDF]

Front Robot AI
Jaheen F, Gutta V, Fallavollita P.
europepmc   +1 more source

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

Corporate 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, Adriana Tiron Tudor, Liana Stanca   +2 more
wiley   +1 more source

Developing a custom loss function for regulating underestimation and overestimation of concrete mechanical properties predictions in neural network models. [PDF]

Sci Rep
Habib A, Habib M, Junaid MT, Altoubat S, Maalej M, Alibrahim B.   +5 more
europepmc   +1 more source

Designing Governance for ESG: Incentive and Oversight Complementarities in Corporate Sustainability Performance

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT This study investigates how internal governance design supports credible ESG performance by distinguishing between Incentive and Oversight Architectures. Using 13,993 firm‐year observations of US nonfinancial firms from 2018 to 2024, we estimate fixed effects and two‐step system GMM models.
Beyza Gürel, Nehir Balci, Mustafa Reha Okur   +2 more
wiley   +1 more source

Leveraging 3D Heart Visualisation and Data Balancing Techniques for ECG Classification. [PDF]

Bioengineering (Basel)
Amara K, Kerdjidj O, Guerroudji MA, Atalla S, Ramzan N.   +4 more
europepmc   +1 more source

Advancing mine pillar design: Evaluating traditional methods and integrating AI for enhanced stability of pillars in the Great Dyke, Zimbabwe

Deep Underground Science and Engineering, EarlyView.
B1 is bord width 1, B2 is bord width 2, L is the pillar length, W is the pillar width, red color and letter A represent the pillars, and white color and number 1 represent excavated areas. Pstress is the average pillar stress; σv is the vertical component of the virgin stress, MPa; and e is the areal extraction ratio. e = B o B o + B P ${\rm{e}}=\frac{{
Tawanda Zvarivadza, Hendrik Grobler, Peter Apata Olubambi, Moshood Onifade, Manoj Khandelwal   +4 more
wiley   +1 more source