Results 41 to 50 of about 303,217 (274)

Finite-time ruin probability of a perturbed risk model with dependent main and delayed claims

open access: yesNonlinear Analysis, 2021
This paper considers a delayed claim risk model with stochastic return and Brownian perturbation in which each main claim may be accompanied with a delayed claim occurring after a stochastic period of time, and the price process of the investment ...
Yang Yang, Xinzhi Wang, Zhimin Zhang
doaj   +1 more source

Bridging Nature and Technology: A Perspective on Role of Machine Learning in Bioinspired Ceramics

open access: yesAdvanced Engineering Materials, EarlyView.
Machine learning (ML) is revolutionizing the development of bioinspired ceramics. This article investigates how ML can be used to design new ceramic materials with exceptional performance, inspired by the structures found in nature. The research highlights how ML can predict material properties, optimize designs, and create advanced models to unlock a ...
Hamidreza Yazdani Sarvestani   +2 more
wiley   +1 more source

Assessing the Ecological Value: Monetizing Process Innovations in Tailored Forming

open access: yesAdvanced Engineering Materials, EarlyView.
This article introduces a method for evaluating the sustainability of innovations, even with limited data. The method is illustrated through an analysis of the “Tailored Forming” technology, which explores the impact of sustainability on economic value added.
Jonas Schneider   +4 more
wiley   +1 more source

Robust Recovery of Corrupted Image Data Based on $L_{1-2}$ Metric

open access: yesIEEE Access, 2018
For removing noises and recovering intrinsic structure from corrupted image data, a classic modeling approach is based on sparsity assumption. In traditionally, the sparsity is measured by L1-norm.
Fanlong Zhang   +3 more
doaj   +1 more source

Can directors’ and officers’ liability insurance improve corporate ESG performance?

open access: yesFrontiers in Environmental Science, 2022
Directors’ and Officers’ liability insurance (abbreviated as “D&O insurance”) was born in the United States in the 1930s and has been widely used in Western countries.
Hanyou Xu, Jing Zhao
doaj   +1 more source

Multi-view Contrastive Self-Supervised Learning of Accounting Data Representations for Downstream Audit Tasks [PDF]

open access: yesarXiv, 2021
International audit standards require the direct assessment of a financial statement's underlying accounting transactions, referred to as journal entries. Recently, driven by the advances in artificial intelligence, deep learning inspired audit techniques have emerged in the field of auditing vast quantities of journal entry data.
arxiv  

Static and Dynamic Behavior of Novel Y‐Shaped Sandwich Beams Subjected to Compressive Loadings: Integration of Supervised Learning and Experimentation

open access: yesAdvanced Engineering Materials, EarlyView.
In this study, the mechanical response of Y‐shaped core sandwich beams under compressive loading is investigated, using deep feed‐forward neural networks (DFNNs) for predictive modeling. The DFNN model accurately captures stress–strain behavior, influenced by design parameters and loading rates.
Ali Khalvandi   +4 more
wiley   +1 more source

Blockchain and Supply-Chain Financing: An Evolutionary Game Approach with Guarantee Considerations

open access: yesJournal of Theoretical and Applied Electronic Commerce Research
Blockchain technology enables innovative financing models in supply-chain finance. This research constructs a tripartite evolutionary game model that includes core enterprises as employers, small- and medium-sized enterprises (SMEs) as contractors, and ...
Jizhou Zhan   +3 more
doaj   +1 more source

The Synchronization Power of Auditable Registers [PDF]

open access: yesarXiv, 2023
Auditability allows to track all the read operations performed on a register. It abstracts the need of data owners to control access to their data, tracking who read which information. This work considers possible formalizations of auditing and their ramification for the possibility of providing it.
arxiv  

Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials

open access: yesAdvanced Engineering Materials, EarlyView.
This article explores how machine learning (ML) revolutionizes the study and design of disordered materials by uncovering hidden patterns, predicting properties, and optimizing multiscale structures. It highlights key advancements, including generative models, graph neural networks, and hybrid ML‐physics methods, addressing challenges like data ...
Hamidreza Yazdani Sarvestani   +4 more
wiley   +1 more source

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