Results 101 to 110 of about 69,468 (260)
Challenges and enablers in fluidization technology
Abstract Gas–solid fluidized beds provide excellent heat and mass transfer for high‐throughput operations from coating to catalytic conversion and underpin emerging low‐carbon technologies. Yet industrial reliability, scale‐up, and control lag scientific understanding, particularly as finer, stickier, and more variable feedstocks increasingly challenge
J. Ruud van Ommen, Jia Wei Chew
wiley +1 more source
This work investigates the optimal initial data size for surrogate‐based active learning in functional material optimization. Using factorization machine (FM)‐based quadratic unconstrained binary optimization (QUBO) surrogates and averaged piecewise linear regression, we show that adequate initial data accelerates convergence, enhances efficiency, and ...
Seongmin Kim, In‐Saeng Suh
wiley +1 more source
Phonons‐informed machine‐learning predictive models are propitious for reproducing thermal effects in computational materials science studies. Machine learning (ML) methods have become powerful tools for predicting material properties with near first‐principles accuracy and vastly reduced computational cost.
Pol Benítez +4 more
wiley +1 more source
Traditional small retailers in India account for 85% of goods sold but have slowly adopted digital technology. Despite digital payments’ significant impact on customer satisfaction and policy, there is limited research on small retailers’ adoption of ...
Jayanthi Thanigan +4 more
doaj +1 more source
When Biology Meets Medicine: A Perspective on Foundation Models
Artificial intelligence, and foundation models in particular, are transforming life sciences and medicine. This perspective reviews biological and medical foundation models across scales, highlighting key challenges in data availability, model evaluation, and architectural design.
Kunying Niu +3 more
wiley +1 more source
From Cash to Clicks: A Systematic Review of Digital Payment Adoption Using the ADO Framework
This study explores the evolving landscape of digital payment adoption through bibliometric analysis and a Systematic Literature Review (SLR) to identify research patterns, themes, and gaps. Using the PRISMA framework, data from Scopus and Web of Science
Vishu Jain, Neelam Jain
doaj +1 more source
The COVID-19 pandemic has spurred a surge in digital payments, with over 40 % of adults in low- and middle-income countries making their first merchant payments using cards, phones, or the internet since the pandemic began.
Adino Andaregie +6 more
doaj +1 more source
Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal +6 more
wiley +1 more source
Adoption of digital payment systems in e-marketing: The moderating role of consumer trust in Jordan
An investigation explains the relationship between technical elements and human conduct that affect the acceptance of digital payment solutions in Jordan's electronic marketing landscape.
Ali Mohammad Ali Alqudah +4 more
doaj +1 more source
An agentic AI‐driven decision‐support framework for prosumers is proposed, integrating PV generation, load profiling, and multihorizon optimization within a four‐agent architecture. The approach significantly reduces grid dependence, enhances self‐sufficiency and prevents system oversizing.
Adela BÂRA, Simona‐Vasilica OPREA
wiley +1 more source

