- Blockchain Technology Applications and Security
- Cryptography and Data Security
- Security and Verification in Computing
- Privacy-Preserving Technologies in Data
- Caching and Content Delivery
- Cloud Data Security Solutions
- Advanced Malware Detection Techniques
- Cloud Computing and Resource Management
- IoT and Edge/Fog Computing
- Advanced Decision-Making Techniques
- Distributed systems and fault tolerance
- Peer-to-Peer Network Technologies
- Energy, Environment, Economic Growth
- Cryptographic Implementations and Security
- Advanced Computational Techniques and Applications
- Financial Markets and Investment Strategies
- Energy Efficient Wireless Sensor Networks
- Higher Education and Teaching Methods
- Network Security and Intrusion Detection
- Data Mining Algorithms and Applications
- Internet Traffic Analysis and Secure E-voting
- Auction Theory and Applications
- Geometric and Algebraic Topology
- Software System Performance and Reliability
- Educational Technology and Pedagogy
Data61
2021-2025
Commonwealth Scientific and Industrial Research Organisation
2021-2025
UNSW Sydney
2024
Shanghai Jiao Tong University
2005-2024
Guangxi Transportation Research Institute
2024
Sichuan International Studies University
2022-2023
Chengdu University of Technology
2023
Australian Regenerative Medicine Institute
2023
Monash University
2023
ETH Zurich
2018-2023
ABSTRACT The OpenWSN project is an open‐source implementation of a fully standards‐based protocol stack for capillary networks, rooted in the new IEEE802.15.4e Time Synchronized Channel Hopping standard. IEEE802.15.4e, coupled with Internet Things standards, such as 6LoWPAN, RPL and CoAP, enables ultra‐low‐power highly reliable mesh which are integrated into Internet. resulting will be cornerstone to upcoming machine‐to‐machine revolution. This article gives overview stack, well key...
Web3 is the most hyped concept from 2020 to date, greatly motivating prosperity of Internet Value and Metaverse. However, no solid evidence stipulates exact definition, criterion, or standard in sense such a buzzword. To fill gap, we aim clarify term this work. We narrow down connotation by separating it high-level controversy argues and, instead, focusing on its protocol, architecture, evaluation perspective blockchain fields. Specifically, have identified all potential architectural design...
Abstract We aimed to validate the prognostic association of p16 expression in ovarian high‐grade serous carcinomas (HGSC) and explore it other carcinoma histotypes. protein was assessed by clinical‐grade immunohistochemistry 6525 including 4334 HGSC using tissue microarrays from 24 studies participating Ovarian Tumor Tissue Analysis consortium. patterns were interpreted as abnormal (either overexpression referred block or absence) normal (heterogeneous). CDKN2A (which encodes p16) mRNA also...
Blockchain is an emerging technology that has the potential to revolutionize global industry and create a trusted relationship in multi-party business network. There are number of practical use cases where blockchain been applied. One specific area Art industry, it natural fit way art forensics transactions conducted, tracked recorded. This motivates us develop ArtChain platform assist Industry. In this paper, we present ArtChain, which integrated trading system based on blockchain. It...
Unsupervised Domain Adaptation Regression (DAR) aims to bridge the domain gap between a labeled source dataset and an unlabelled target for regression problems. Recent works mostly focus on learning deep feature encoder by minimizing discrepancy features. In this work, we present different perspective DAR problem analyzing closed-form ordinary least square (OLS) solution linear regressor in adaptation context. Rather than aligning original embedding space, propose align inverse Gram matrix...
Objective : To identify barriers to compliance with guidelines for diabetic retinopathy screening. Methods The population studied included 4410 adults, aged 31 64, enrolled in an Independent Practice Association (IPA) plan Upstate New York, who were diagnosed diabetes, and their Primary Care Physicians (408 PCPs). Claims data used calculate variables characterizing patients PCPs. Logistic regression models estimated factors associated higher probability of Results 34% screened 1993....
Machine learning (ML) is emerging as a highly effective technique for mineral exploration. However, exploration poses several unique challenges to ML application, such uncertain geological information in remote regions and imbalanced labeled training data. In this study, we developed deep-learning framework — self-attention back-propagation neural network (SA-BPNN) which used automatically explore relationships among diverse features improve the capability of extraction. Moreover, proposed...
Cross-chain is an emerging blockchain technology which builds the bridge across homogeneous and heterogeneous blockchains. However, due to differentiation of different blockchains lack access control identity authentication cross-chain operation subjects, existing technologies are struggling accomplish transformation subjects between chains, also pose great challenges in terms traceability supervision dangerous transactions. To address above issues, this paper proposes a scalable scheme, can...
Architectural design contexts contain a set of factors that greatly influence software application development. Among them, organizational consist high-level company concerns and how it is structured, for example, stakeholders development schedules heavily impacting considerations. The Decentralized Autonomous Organization (DAO), as vital concept in the Web3 space, represents an organization constructed by automatically executed rules, such via smart contracts, holding features...
Cryptocurrencies are widely used, yet current methods for analyzing transactions heavily rely on opaque, black-box models. These lack interpretability and adaptability, failing to effectively capture behavioral patterns. Many researchers, including us, believe that Large Language Models (LLMs) could bridge this gap due their robust reasoning abilities complex tasks. In paper, we test hypothesis by applying LLMs real-world cryptocurrency transaction graphs, specifically within the Bitcoin...
Decentralized Autonomous Organizations (DAOs) signify a groundbreaking approach to Internet-based management, enabled by blockchain technology and cryptocurrencies, are viewed as fundamental elements of the Web3 ecosystem. In this study, we delve into concept DAOs thoroughly investigating their underlying structure, ideology, operational principles. Furthermore, present novel DAO framework derived from technical organizational assessment provide an overview cutting-edge tools currently...