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Found 23 papers, 12 papers with code
Structure-Accurate Medical Image Translation via Dynamic Frequency Balance and Knowledge Guidance
Multimodal medical images play a crucial role in the precise and comprehensive clinical diagnosis.
\textsc{Perseus}: Tracing the Masterminds Behind Cryptocurrency Pump-and-Dump Schemes
Previous research detects pump-and-dump activities in the market, predicts the target cryptocurrency, and examines investors and \ac{osn} entities.
LLM-Powered Multi-Agent System for Automated Crypto Portfolio Management
Our framework uses specialized agents that collaborate within and across teams to handle subtasks such as data analysis, literature integration, and investment decision-making for the top 30 cryptocurrencies by market capitalization.
Motion Artifact Removal in Pixel-Frequency Domain via Alternate Masks and Diffusion Model
Motion artifacts present in magnetic resonance imaging (MRI) can seriously interfere with clinical diagnosis.
No Questions Asked: Effects of Transparency on Stablecoin Liquidity During the Collapse of Silicon Valley Bank
Fiat-pegged stablecoins are by nature exposed to spillover effects during market turmoil in Traditional Finance (TradFi).
LiSD: An Efficient Multi-Task Learning Framework for LiDAR Segmentation and Detection
It is worth noting that LiSD achieves the state-of-the-art performance of 83. 3% mIoU on the nuScenes segmentation benchmark for lidar-only methods.
Piercing the Veil of TVL: DeFi Reappraised
We conduct sensitivity tests to evaluate the stability of TVL compared to TVR, demonstrating the former's significantly higher level of instability than the latter, especially during market downturns: A 25% decline in the price of Ether (ETH) leads to a \$1 billion greater non-linear decrease in TVL compared to TVR via the liquidations triggered by derivative tokens.
Evolution of ESG-focused DLT Research: An NLP Analysis of the Literature
Emerging technologies, such as Distributed Ledger Technology (DLT), face growing scrutiny for their environmental impact, especially when it comes to the energy use of the Proof of Work (PoW) consensus mechanism and broader Environmental, Social, and Governance (ESG) considerations.
Auto.gov: Learning-based Governance for Decentralized Finance (DeFi)
Decentralized finance (DeFi) is an integral component of the blockchain ecosystem, enabling a range of financial activities through smart-contract-based protocols.
DeFi versus TradFi: Valuation Using Multiples and Discounted Cash Flows
As of August 2022, blockchain-based assets boast a combined market capitalisation exceeding one trillion USD, among which the most prominent are the decentralised autonomous organisation (DAO) tokens associated with decentralised finance (DeFi) protocols.
Reap the Harvest on Blockchain: A Survey of Yield Farming Protocols
Yield farming represents an immensely popular asset management activity in decentralized finance (DeFi).
A Short Survey on Business Models of Decentralized Finance (DeFi) Protocols
Decentralized Finance (DeFi) services are moving traditional financial operations to the Internet of Value (IOV) by exploiting smart contracts, distributed ledgers, and clever heterogeneous transactions among different protocols.
Dual Skip Connections Minimize the False Positive Rate of Lung Nodule Detection in CT images
Pulmonary cancer is one of the most commonly diagnosed and fatal cancers and is often diagnosed by incidental findings on computed tomography.
SoK: Yield Aggregators in DeFi
Yield farming has been an immensely popular activity for cryptocurrency holders since the explosion of Decentralized Finance (DeFi) in the summer of 2020.
Adaptive Hypergraph Convolutional Network for No-Reference 360-degree Image Quality Assessment
In the hypergraph construction, we build a location-based hyperedge and a content-based hyperedge for each viewport.
SoK: Decentralized Exchanges (DEX) with Automated Market Maker (AMM) Protocols
As an integral part of the decentralized finance (DeFi) ecosystem, decentralized exchanges (DEXs) with automated market maker (AMM) protocols have gained massive traction with the recently revived interest in blockchain and distributed ledger technology (DLT) in general.
No-Reference Quality Assessment for 360-degree Images by Analysis of Multi-frequency Information and Local-global Naturalness
To our knowledge, the proposed model is the first no-reference quality assessment method for 360-degreee images that combines multi-frequency information and image naturalness.
Triple-entry Accounting, Blockchain and Next of Kin: Towards a Standardisation of Ledger Terminology
Triple-entry accounting (TEA) is simultaneously a novel application in the blockchain universe and one of the many concepts applied in blockchain technology.
Cryptography and Security
Liquidations: DeFi on a Knife-edge
We find that liquidators' efficiency has improved significantly over time, with currently over 70% of liquidable positions being immediately liquidated.
Revisiting Transactional Statistics of High-scalability Blockchain
In particular, 96% of the transactions on EOSIO were triggered by the airdrop of a currently valueless token; on Tezos, 76% of throughput was used for maintaining consensus; and over 94% of transactions on XRPL carried no economic value.
Cryptography and Security
Binocular Rivalry Oriented Predictive Auto-Encoding Network for Blind Stereoscopic Image Quality Measurement
Stereoscopic image quality measurement (SIQM) has become increasingly important for guiding stereo image processing and commutation systems due to the widespread usage of 3D contents.
Multimedia Image and Video Processing
Stereoscopic Omnidirectional Image Quality Assessment Based on Predictive Coding Theory
In this paper, based on the predictive coding theory of the human vision system (HVS), we propose a stereoscopic omnidirectional image quality evaluator (SOIQE) to cope with the characteristics of 3D 360-degree images.
The Anatomy of a Cryptocurrency Pump-and-Dump Scheme
While pump-and-dump schemes have attracted the attention of cryptocurrency observers and regulators alike, this paper represents the first detailed empirical query of pump-and-dump activities in cryptocurrency markets.
