ContractCheck: Checking Ethereum Smart Contracts in Fine-Grained Level
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Software Engineering"
DOI: 10.1109/tse.2024.3400294
Abstract: The blockchain has been the main computing scenario for smart contracts, and the decentralized infrastructure of the blockchain is effectively implemented in a de-trusted and executable environment. However, vulnerabilities in smart contracts are particularly vulnerable… read more here.
Keywords: fine grained; contractcheck; network methods; smart contracts ... See more keywords
Deep Recurrent Q-Network Methods for mmWave Beam Tracking systems
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Vehicular Technology"
DOI: 10.1109/tvt.2022.3200356
Abstract: This article studies a reinforcement learning (RL) approach for beam tracking problems in millimeter-wave massive multiple-input multiple-output (MIMO) systems. Entire beam sweeping in traditional beam training problems is intractable due to prohibitive search overheads. To… read more here.
Keywords: beam; network methods; deep recurrent; recurrent network ... See more keywords
Network methods and design of randomized trials: Application to investigation of COVID-19 vaccination boosters
Sign Up to like & getrecommendations! Published in 2022 at "Clinical Trials"
DOI: 10.1177/17407745221111818
Abstract: Network science methods can be useful in design, monitoring, and analysis of randomized trials for control of spread of infections. Their usefulness arises from the role of statistical network models in molecular epidemiology and in… read more here.
Keywords: network methods; network; methods design; design ... See more keywords
Difficulty in inferring microbial community structure based on co-occurrence network approaches
Sign Up to like & getrecommendations! Published in 2019 at "BMC Bioinformatics"
DOI: 10.1186/s12859-019-2915-1
Abstract: BackgroundCo-occurrence networks—ecological associations between sampled populations of microbial communities inferred from taxonomic composition data obtained from high-throughput sequencing techniques—are widely used in microbial ecology. Several co-occurrence network methods have been proposed. Co-occurrence network methods only… read more here.
Keywords: network methods; occurrence; network approaches; occurrence network ... See more keywords
Visualization of Cancer and Cardiovascular Disease Co-Occurrence With Network Methods.
Sign Up to like & getrecommendations! Published in 2017 at "JCO clinical cancer informatics"
DOI: 10.1200/cci.16.00071
Abstract: PURPOSE Cancer and cardiovascular disease (CVD) are common causes of morbidity and mortality, and measurement and interpretation of their co-occurrence rate have important implications for public health and patient care. Here, we present the raw… read more here.
Keywords: network methods; cancer cardiovascular; occurrence; cancer ... See more keywords
Boosting GWAS using biological networks: A study on susceptibility to familial breast cancer
Sign Up to like & getrecommendations! Published in 2021 at "PLoS Computational Biology"
DOI: 10.1371/journal.pcbi.1008819
Abstract: Genome-wide association studies (GWAS) explore the genetic causes of complex diseases. However, classical approaches ignore the biological context of the genetic variants and genes under study. To address this shortcoming, one can use biological networks,… read more here.
Keywords: susceptibility; network; network methods; breast cancer ... See more keywords