Results 231 to 240 of about 419,601 (272)

Spatio-temporal evolution and driving factors of green innovation efficiency in the Chinese urban tourism industry based on spatial Markov chain. [PDF]

Sci Rep
Liao Z, Liang S, Wang X.
europepmc   +1 more source

Quantum‐Noise‐Driven Generative Diffusion Models

Advanced Quantum Technologies, EarlyView.
Diffusion Models (DMs) are today a very popular class of generative models for Machine Learning (ML), using a noisy dynamics to learn an unknown density probability of a finite set of samples in order to generate new synthetic data. This study proposes a method to generalize them into the quantum domain by introducing and investigating what are termed ...
Marco Parigi, Stefano Martina, Filippo Caruso   +2 more
wiley   +1 more source

Nested Markov chain hyper-heuristic (NMHH): a hybrid hyper-heuristic framework for single-objective continuous problems. [PDF]

PeerJ Comput Sci
Bándi N, Gaskó N.
europepmc   +1 more source

Systematic Literature Review and Meta‐Analysis of Landscape‐Scale Green Infrastructure Identification

Sustainable Development, EarlyView.
ABSTRACT As an early concept in Green Infrastructure (GI) research, landscape‐scale GI (LGI) has faced challenges due to its large spatial scale, limiting its application compared to smaller‐scale GI. However, its efficiency and multifunctionality in supporting Sustainable Development Goals (SDGs) are gaining attention.
Xiaoqi Yang, Takeshi Kinoshita, Qian Wang, Yifan Chen   +3 more
wiley   +1 more source

Application of a Multi-Layer Perceptron and Markov Chain Analysis-Based Hybrid Approach for Predicting and Monitoring LULCC Patterns Using Random Forest Classification in Jhelum District, Punjab, Pakistan. [PDF]

Sensors (Basel)
Aftab B, Wang Z, Wang S, Feng Z.
europepmc   +1 more source

From Membrane Composition to Antimicrobial Strategies: Experimental and Computational Approaches to AMP Design and Selectivity

Small, EarlyView.
Antimicrobial peptides (AMPs) are promising candidates for next‐generation antibiotics, acting through mechanisms such as membrane disruption and intracellular targeting. This review examines how variations in bacterial membrane composition critically influence AMP activity.
Paolo Rossetti, Marius F.W. Trollmann, Christina Wichmann, Thomas Gutsmann, Christian Eggeling, Rainer A. Böckmann   +5 more
wiley   +1 more source

Seeing the Middle: Reconstructing 3D Internal Electrode Microstructures from Low‐Resolution Surfaces with Generative Diffusion Artificial Intelligence

Small Science, EarlyView.
Herein, a generative diffusion artificial intelligence (AI) model, REMind, , is generated, which enhances energy material characterization by reconstructing high‐resolution electrode microstructures from low‐resolution slices. It enables faster, high‐fidelity imaging by allowing larger milling thickness in focused ion beam‐scanning electron microscopy.
Zhiqiang Niu, Zhaoxia Zhou, Patrice Perrenot, Claire Villevieille, Wanhui Zhao, Qiong Cai, Valerie J. Pinfield, Yun Wang   +7 more
wiley   +1 more source

Hybrid Data‐Driven Modeling and Prediction of Photovoltaic Soiling Losses: Balancing Accuracy and Simplicity

Solar RRL, EarlyView.
This study introduces a hybrid data‐driven framework for modeling and predicting soiling losses in PV plants, coupling a statistical quantification approach (stochastic quantifying soiling loss) with machine learning models. The framework balances simplicity and accuracy: it works reliably in data‐scarce sites while exploiting environmental datasets ...
Ioannis (John) A. Tsanakas, E. Pilat, S. Arbaretaz, M.‐T. Doi, E. Planès, F. Monteiro Martins, J. Veludo, C. Ménézo   +7 more
wiley   +1 more source

FinTech services from BigTech companies

Systems Research and Behavioral Science, EarlyView.
Abstract The so‐called BigTech companies Amazon, Alphabet, Apple and Meta and are constantly attempting to grow into new business areas. Due to their expertise in data analysis, they have managed to quickly establish themselves in many industries as digital ecosystems and, as part of this strategy, are also expanding their footprint in financial ...
Thomas Puschmann, Engjull Halimi
wiley   +1 more source

Application of systems thinking and system dynamics in managing risks and stakeholders in construction projects: A systematic literature review

Systems Research and Behavioral Science, EarlyView.
Abstract This paper conducts a systematic literature review on systems thinking (ST) and system dynamics (SD) applications in construction project risk and stakeholder management over the past decade. It evaluates current practices' alignment with SD, addressing project complexity and uncertainty. Seventy‐three articles are analysed following Preferred
Zahra Ghamarimajd, Amir Ghanbaripour, Roksana Jahan Tumpa, Tsunemi Watanabe, Jasper Mbachu, Martin Skitmore   +5 more
wiley   +1 more source