Latest AI and machine learning research in risk management for healthcare professionals.
This paper is concerned with the fixed-time containment control problem for high-order MIMO nonlinear multi-agent systems with external disturbances and actuator faults. First, in the backstepping framework, a neuroadaptive fixed-time containment control protocol is skillfully developed under an undirected communication topology. Second, criteria for designing desired fault-tolerant fixed-time con...
Environmental sound recordings often contain intelligible speech, raising privacy concerns that limit analysis, sharing and reuse of data. In this paper, we introduce a method that renders speech unintelligible while preserving both the integrity of the acoustic scene, and the overall audio quality. Our approach involves reversing waveform segments to distort speech content. This process is enha...
While total intracranial carotid artery calcification (ICAC) volume is an established stroke biomarker, growing evidence shows this aggregate metric...
As the performance of large language models (LLMs) continues to advance, their adoption is expanding across a wide range of domains, including the m...
As the performance of large language models (LLMs) continues to advance, their adoption is expanding across a wide range of domains, including the m...
The data extraction stages of reviews are resource-intensive, and researchers may seek to expediate data extraction using online (large language mod...
One of the main challenges in synchronizing wirelessly connected loudspeakers for spatial audio reproduction is clock skew. Clock skew arises from s...
This work presents a novel decentralized protocol for digital estate planning that integrates advances distributed computing, and cryptography. The ...
The capabilities of Large Language Models (LLMs) have opened new frontiers for interacting with complex, domain-specific knowledge. However, prevail...
While Ethereum's discovery protocols (Discv4/ Discv5) incorporate robust cryptographic designs to protect user privacy, real-world deployment reveal...
This paper presents a complete formal specification, protocol description, and mathematical proof structure for Simplified Payment Verification (SPV...
Recent advancements in deep learning for medical image segmentation are often limited by the scarcity of high-quality training data.While diffusion ...
BACKGROUND: Sepsis is a leading cause of mortality worldwide, characterized by a dysregulated host response to infection. Despite the development of m...
BACKGROUND: Despite advances in pain management, inadequate pain relief and opioid-related adverse events remain common challenges in perioperative ca...
RATIONALE AND OBJECTIVES: CT angiography (CTA) is a commonly used clinical examination to detect abnormal arteries and diagnose pulmonary sequestratio...
We introduce DABstep, a novel benchmark for evaluating AI agents on realistic multi-step data analysis tasks. DABstep comprises over 450 real-world ...
FastSet is an actor-based distributed protocol for decentralized finance and settlement, which is inspired from blockchains. Account holders coopera...
Photoemission measurements in the gas phase at low pressure have enabled the exploration of the intricate relationship between electronic and structur...
Containers are an integral part of the logistics industry and act as a barrier for cargo. A typical service life for a container is more than 20 yea...
Multimodal Large Language Models (MLLMs) have emerged as a promising way to automate Radiology Report Generation (RRG). In this work, we systematica...