Results 261 to 270 of about 6,336,923 (296)
Continual Learning with Deep Neural Networks in Physiological Signal Data: A Survey. [PDF]
Li A, Li H, Yuan G.
europepmc +1 more source
ABSTRACT This study examines whether firm‐level water management efficiency is associated with corporate carbon emissions, and whether this association is moderated by corporate social responsibility (CSR) performance, environmental regulatory stringency, and industry water intensity.
Nadia Ben Farhat +2 more
wiley +1 more source
[The joint analysis of heart health and mental health based on continual learning]. [PDF]
Gao H, Cai Z, Li J, Liu C.
europepmc +1 more source
ABSTRACT Among many firms in emerging economies, investments in HR analytics promise strategic insight yet often fail to translate into measurable sustainability gains. This study theorises and tests how HR analytics capability drives supply chain sustainability through the strategic enactment of Green HRM (GHRM).
Philip Opoku Mensah +6 more
wiley +1 more source
The Circular Economy—A New Resilience Paradigm?
ABSTRACT The circular economy (CE) has traditionally been positioned as a central instrument of the sustainability paradigm. Yet escalating geopolitical volatility and supply chain fragility have elevated resilience to a parallel strategic imperative, and the conceptual integration of CE and resilience remains underexplored.
Julian Kirchherr, Felix Carl Schultz
wiley +1 more source
From Sustainable Practices to SME Resilience: An Integrative, Systems‐Based Review With Propositions
ABSTRACT This integrative review examines how sustainable practices foster organizational resilience in small‐ and medium‐sized enterprises (SMEs), supporting long‐term sustainable development. Existing resilience models often overlook SMEs' distinctive challenges—limited resources and managerial short‐termism—whereas research linking day‐to‐day ...
Pongsakorn Nongnuch +2 more
wiley +1 more source
ABSTRACT Sustainable building operation and maintenance (O&M) is increasingly supported by digital technologies; however, research remains fragmented across technical, organisational and behavioural domains, limiting understanding of how performance gains are sustained in net zero energy (NZE) office‐type buildings.
Wanniarachchige Don Gishan Gangana Abhayagunarathna +2 more
wiley +1 more source
Some of the next articles are maybe not open access.
Related searches:
Related searches:
Flashback for Continual Learning
2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW), 2023To strike a delicate balance between model stability and plasticity of continual learning, previous approaches have adopted strategies to guide model updates on new data to preserve old knowledge while implicitly absorbing new information through task objective function (e.g. classification loss).
Mahmoodi, Leila +2 more
openaire +4 more sources
Subspace distillation for continual learning
An ultimate objective in continual learning is to preserve knowledge learned in preceding tasks while learning new tasks. To mitigate forgetting prior knowledge, we propose a novel knowledge distillation technique that takes into the account the manifold structure of the latent/output space of a neural network in learning novel tasks.
Mehrtash T Harandi +2 more
exaly +7 more sources

