Within-host models of COVID-19 infection dynamics enable the merits of different forms of antiviral therapy to be assessed in individual patients. A stochastic agent-based model of COVID-19 intracellular dynamics is introduced here, that incorporates...
We propose CRAVE (Cluster-based Retrieval Augmented Verification with Explanation); a novel framework that integrates retrieval-augmented Large Language Models (LLMs) with clustering techniques to address fact-checking challenges on social media. CRA...
written, and directed by Jacob Tierney for Crave. It is based on the Game Changers novel series by Rachel Reid, named after the 2019 second book. The series
The control module of "CRAVES:Controlling Robotic Arm with a Vision-based, Economic System" (⭐ 38)
CRAVES: Controlling Robotic Arm with a Vision-based, Economic System (⭐ 274)
Iphone 17 base, the kit comes with a green plastic frame that is sharp and does not fit on phone, could easily scratch when trying to put it on. Returning immediately to amazon to try another brand. ...
Anyone else have issue with base 17 kit from Amazon? The green plastic frame is sharp and won't fit over phone. I probably just scratched up my brand new phone trying to get it to fit, ultimately woul...
The performance of repository-level code completion depends upon the effective leverage of both general and repository-specific knowledge. Despite the impressive capability of code LLMs in general code completion tasks, they often exhibit less satisf...
It has been shown that non-stabilizer eigenstates of permutation gates are appropriate for allowing $d$-dimensional universal quantum computing (uqc) based on minimal informationally complete POVMs. The relevant quantum gates may be built from subgro...
The Ties (Italian: Lacci) is a 2020 Italian romantic drama film directed by Daniele Luchetti, based on the 2014 novel of the same name by Domenico Starnone
In this paper, a novel approach to sign language recognition based on state tying in each of data streams is presented. In this framework, it is assumed that hand gesture signal is represented in terms of six synchronous data streams, i.e., the left/...
A tie-in work is a work of fiction or other product based on a media property such as a film, video game, television series, board game, website, role-playing
Automatic generation of discharge summaries presents significant challenges due to the length of clinical documentation, the dispersed nature of patient information, and the diverse terminology used in healthcare. This paper presents a hybrid solutio...
We explore an inquisitive modal logic designed to reason about neighborhood models. This logic is based on an inquisitive strict conditional operator, which quantifies over neighborhoods, and which can be applied to both statements and questions. In...
Optimal input design is an important step of the identification process in order to reduce the model variance. In this work a D-optimal input design method for finite-impulse-response-type nonlinear systems is presented. The optimization of the deter...
With the increased interest in computational sciences, machine learning (ML), pattern recognition (PR) and big data, governmental agencies, academia and manufacturers are overwhelmed by the constant influx of new algorithms and techniques promising i...
This work concerns wireless cellular networks applying massive multiple-input multiple-output (MIMO) technology. In such a system, the base station in a given cell is equipped with a very large number (hundreds or even thousands) of antennas and serv...
The primary motivation for uptake of virtualization have been resource isolation, capacity management and resource customization: isolation and capacity management allow providers to isolate users from the site and control their resources usage whi...
The Evolutionary Map of the Universe (EMU) large-area radio continuum survey will detect tens of millions of radio galaxies, giving an opportunity for the detection of previously unknown classes of objects. To maximise the scientific value and make n...
While traditional machine learning can effectively tackle a wide range of problems, it primarily operates within a closed-world setting, which presents limitations when dealing with streaming data. As a solution, incremental learning emerges to addre...