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