Results 151 to 160 of about 81,262 (253)

Addressing Small Data Challenges in Biopharmaceutical Development and Manufacturing: A Mini Review of Multi‐Fidelity Techniques

Biotechnology and Bioengineering, EarlyView.
ABSTRACT The growing demand for biopharmaceutical products reflects their effectiveness in medical treatments. However, developing new biopharmaceuticals remains a major bottleneck, often taking up to a decade before market approval. Machine learning (ML) models have the potential to accelerate this process, but their success depends on access to large
Mohammad Golzarijalal, Uwe Aickelin, Ellen Otte   +2 more
wiley   +1 more source

Adaptive energy management in smart homes through fuzzy reinforcement learning and metaheuristic optimization algorithms to minimize costs. [PDF]

Sci Rep
Hamedani MMK, Jahangiri A, Mehri R, Shamim AG.   +3 more
europepmc   +1 more source

Advancing Sustainable Development in Manufacturing: A Strategic Framework for Overcoming Green–Lean Implementation Barriers

Business Strategy and the Environment, EarlyView.
ABSTRACT Manufacturing's transition to sustainable development depends on integrating green with lean under credible environmental policy and stakeholder engagement. Although benefits are well established, the literature underspecifies implementation barriers and their prioritisation. This study identifies, structures, and prioritises barriers to green–
Jose Arturo Garza‐Reyes, Andrew Defanto, Ranjit Roy Ghatak, Rohit Joshi, Walid al Saad   +4 more
wiley   +1 more source

More Than 10 Years on: Does a State‐of‐the‐Art Review and Synthesis Offer New Frameworks to Guide Future Design for Remanufacturing Research?

Business Strategy and the Environment, EarlyView.
ABSTRACT There is strong evidence that design for remanufacturing (DfRem) can reduce initial‐design carbon emissions by up to 30%, and that product design can critically affect remanufacturing feasibility, yet academic adoption of DfRem remains limited.
Okechukwu Okorie, Yogendra Singh, Jennifer Russell, Chris Turner, Kingsley Oturu   +4 more
wiley   +1 more source

Boolean matrix logic programming for active learning of gene functions in genome-scale metabolic network models. [PDF]

Mach Learn
Ai L, Muggleton SH, Liang SS, Baldwin GS.   +3 more
europepmc   +1 more source

Climate Change Mitigation Takes the Lead: EU Taxonomy‐Aligned and Eligible Activities in Relation to Debt Financing

Business Strategy and the Environment, EarlyView.
ABSTRACT This study assesses the degree of alignment with and eligibility to the EU Taxonomy of non‐financial firms and investigates its relationship with their Cost of Debt (CoD). The empirical analysis is based on a sample of 306 non‐financial firms listed on the Stoxx Europe 600 Index across 15 European countries. Taxonomy‐related data were manually
Fabio Rizzato, Simona Fiandrino, Alberto Tonelli, Giorgia La Barbera   +3 more
wiley   +1 more source

AI in Neurology: Everything, Everywhere, All at Once Part 1: Principles and Practice. [PDF]

Ann Neurol
Rizzo M, Dawson JD.
europepmc   +1 more source

Navigating the ESG Paradox: Strategic Pathways Between Innovation and Washing Under Stakeholder Scrutiny

Business Strategy and the Environment, EarlyView.
ABSTRACT As firms increasingly incorporate environmental, social, and governance (ESG) concerns into their strategic agendas, stakeholder legitimacy—an audience‐conferred judgment of organizational appropriateness—has become pivotal. We theorize legitimacy as expanding a hybrid response portfolio in which firms may pursue substantive change (business ...
Min‐Jae Lee, Anna Pak, Donghwi (Josh) Seo, Taewoo Roh   +3 more
wiley   +1 more source

Neurosymbolic AI Framework for Explainable Retinal Disease Classification From OCT Images. [PDF]

Transl Vis Sci Technol
Miladinovic A, Biscontin A, Ajcevic M, Kresevic S, Accardo A, Tognetto D, Inferrera L.   +6 more
europepmc   +1 more source

Stratified Probabilistic Description Logic Programs

, 2016
In previous work, we have introduced probabilistic description logic programs (or pdl-programs), which are a combination of description logic programs (or dl-programs) under the answer set and well-founded semantics with Poole's independent choice logic. Such programs are directed towards sophisticated representation and reasoning techniques that allow
openaire   +1 more source