Tootfinder

A Stream Pipeline Framework for Digital Payment Programming based on Smart Contracts
Zijia Meng, Victor Feng
https://arxiv.org/abs/2508.21075 https://arxiv…

A Stream Pipeline Framework for Digital Payment Programming based on Smart Contracts
Digital payments play a pivotal role in the burgeoning digital economy. Moving forward, the enhancement of digital payment systems necessitates programmability, going beyond just efficiency and convenience, to meet the evolving needs and complexities. Smart contract platforms like Central Bank Digital Currency (CBDC) networks and blockchains support programmable digital payments. However, the prevailing paradigm of programming payment logics involves coding smart contracts with programming lang…

Balancing Compliance and Privacy in Offline CBDC Transactions Using a Secure Element-based System
Panagiotis Michalopoulos, Anthony Mack, Cameron Clark, Linus Chen, Johannes Sedlmeir, Andreas Veneris
https://arxiv.org/abs/2509.25469

Balancing Compliance and Privacy in Offline CBDC Transactions Using a Secure Element-based System
Blockchain technology has spawned a vast ecosystem of digital currencies with Central Bank Digital Currencies (CBDCs) -- digital forms of fiat currency -- being one of them. An important feature of digital currencies is facilitating transactions without network connectivity, which can enhance the scalability of cryptocurrencies and the privacy of CBDC users. However, in the case of CBDCs, this characteristic also introduces new regulatory challenges, particularly when it comes to applying estab…

Standardized Multi-Layer Tissue Maps for Enhanced Artificial Intelligence Integration and Search in Large-Scale Whole Slide Image Archives
Gernot Fiala, Markus Plass, Robert Harb, Peter Regitnig, Kristijan Skok, Wael Al Zoughbi, Carmen Zerner, Paul Torke, Michaela Kargl, Heimo M\"uller, Tomas Brazdil, Matej Gallo, Jaroslav Kub\'in, Roman Stoklasa, Rudolf Nenutil, Norman Zerbe, Andreas Holzinger, Petr Holub

Standardized Multi-Layer Tissue Maps for Enhanced Artificial Intelligence Integration and Search in Large-Scale Whole Slide Image Archives
A Whole Slide Image (WSI) is a high-resolution digital image created by scanning an entire glass slide containing a biological specimen, such as tissue sections or cell samples, at multiple magnifications. These images can be viewed, analyzed, shared digitally, and are used today for Artificial Intelligence (AI) algorithm development. WSIs are used in a variety of fields, including pathology for diagnosing diseases and oncology for cancer research. They are also utilized in neurology, veterinar…

MultiFluxAI Enhancing Platform Engineering with Advanced Agent-Orchestrated Retrieval Systems
Sri Ram Macharla, Sridhar Murthy J, Anjaneyulu Pasala
https://arxiv.org/abs/2508.21307

MultiFluxAI Enhancing Platform Engineering with Advanced Agent-Orchestrated Retrieval Systems
MultiFluxAI is an innovative AI platform developed to address the challenges of managing and integrating vast, disparate data sources in product engineering across application domains. It addresses both current and new service related queries that enhance user engagement in the digital ecosystem. This platform leverages advanced AI techniques, such as Generative AI, vectorization, and agentic orchestration to provide dynamic and context-aware responses to complex user queries.

Data-driven Discovery of Digital Twins in Biomedical Research
Cl\'emence M\'etayer, Annabelle Ballesta, Julien Martinelli
https://arxiv.org/abs/2508.21484 https://

Data-driven Discovery of Digital Twins in Biomedical Research
Recent technological advances have expanded the availability of high-throughput biological datasets, enabling the reliable design of digital twins of biomedical systems or patients. Such computational tools represent key reaction networks driving perturbation or drug response and can guide drug discovery and personalized therapeutics. Yet, their development still relies on laborious data integration by the human modeler, so that automated approaches are critically needed. The success of data-dr…

A Privacy-Preserving Federated Framework with Hybrid Quantum-Enhanced Learning for Financial Fraud Detection
Abhishek Sawaika, Swetang Krishna, Tushar Tomar, Durga Pritam Suggisetti, Aditi Lal, Tanmaya Shrivastav, Nouhaila Innan, Muhammad Shafique
https://arxiv.org/abs/2507.22908

Malaysia's AI-Driven Education Landscape: Policies, Applications, and Comparative Insights for a Digital Future
Fadhilah Jamaluddin, Ahmad Hakiim Jamaluddin, Faridzah Jamaluddin, Faathirah Jamaluddin
https://arxiv.org/abs/2509.21858

Malaysia's AI-Driven Education Landscape: Policies, Applications, and Comparative Insights for a Digital Future
Artificial Intelligence (AI) is transforming education globally, and Malaysia is leveraging this potential through strategic policies to enhance learning and prepare students for a digital future. This article explores Malaysia's AI-driven education landscape, emphasising the National Artificial Intelligence Roadmap 2021-2025 and the Digital Education Policy. Employing a policy-driven analysis, it maps AI applications in pedagogy, curriculum design, administration, and teacher training across p…

The Importance of the Digital Object Identifier (DOI) in Enhancing the Credibility of Scientific Research: An Analytical Data Study
Ahmed Shaker Alalaq
https://arxiv.org/abs/2508.20118

The Importance of the Digital Object Identifier (DOI) in Enhancing the Credibility of Scientific Research: An Analytical Data Study
This study aims to analyze the vital role played by the Digital Object Identifier (DOI) in enhancing the credibility and reliability of scientific research in the digital age. Through an analytical study of DOI usage data derived from international scientific publishing institutions, the extent of its adoption and its recognition as a global standard for encoding research and academic sources was highlighted. The results showed that the number of scientific records registered using DOIs exceede…

Transmitter-Side Beyond-Diagonal RIS-Enabled Integrated Sensing and Communications
Kexin Chen, Yijie Mao, Wonjae Shin
https://arxiv.org/abs/2509.26333 https://

Transmitter-Side Beyond-Diagonal RIS-Enabled Integrated Sensing and Communications
Beyond diagonal reconfigurable intelligent surfaces (BD-RIS) have emerged as a promising technology for 6G wireless networks, offering more advanced control over electromagnetic wave propagation than conventional diagonal RIS. This paper proposes a novel integrated sensing and communication (ISAC) framework that incorporates BD-RIS at the transmitter. This not only opens the door to enhanced sensing and communication performance, but also alleviates the need for large-scale fully digital radio …

CASE: An Agentic AI Framework for Enhancing Scam Intelligence in Digital Payments
Nitish Jaipuria, Lorenzo Gatto, Zijun Kan, Shankey Poddar, Bill Cheung, Diksha Bansal, Ramanan Balakrishnan, Aviral Suri, Jose Estevez
https://arxiv.org/abs/2508.19932

CASE: An Agentic AI Framework for Enhancing Scam Intelligence in Digital Payments
The proliferation of digital payment platforms has transformed commerce, offering unmatched convenience and accessibility globally. However, this growth has also attracted malicious actors, leading to a corresponding increase in sophisticated social engineering scams. These scams are often initiated and orchestrated on multiple surfaces outside the payment platform, making user and transaction-based signals insufficient for a complete understanding of the scam's methodology and underlying patte…