Results 51 to 60 of about 55,204 (231)
Neural Fields for Highly Accelerated 2D Cine Phase Contrast MRI
ABSTRACT 2D cine phase contrast (CPC) MRI provides quantitative information on blood velocity and flow within the human vasculature. However, data acquisition is time‐consuming, motivating the reconstruction of the velocity field from undersampled measurements to reduce scan times. In this work, neural fields are proposed as a continuous spatiotemporal
Pablo Arratia +7 more
wiley +1 more source
Smart Chaining: Templing and Temple Search
Hash tables continue to be at the forefront of applications that require fast data lookup, but their usefulness in practice depends on effective collision resolution. Classical approaches like chaining (linked lists) and open addressing (linear/quadratic/
Rajeev Ranjan Kumar Tripathi +4 more
doaj +1 more source
Small-world networks, distributed hash tables and the e-resource discovery problem [PDF]
Resource discovery is one of the most important underpinning problems behind producing a scalable, robust and efficient global infrastructure for e-Science.
Hawick, K.A., Leist, A.
core
This study introduces a tree‐based machine learning approach to accelerate USP8 inhibitor discovery. The best‐performing model identified 100 high‐confidence repurposable compounds, half already approved or in clinical trials, and uncovered novel scaffolds not previously studied. These findings offer a solid foundation for rapid experimental follow‐up,
Yik Kwong Ng +4 more
wiley +1 more source
: In this work, Voxel‐SLAM (simultaneous localization and mapping) is introduced: a complete, accurate, and versatile LiDAR (light detection and ranging) ‐inertial SLAM system consisting of five modules: initialization, odometry, local mapping (LM), loop closure (LC), and global mapping (GM), all employing the same map representation, an adaptive voxel
Zheng Liu +9 more
wiley +1 more source
POSITION-BASED DISTRIBUTED HASH TABLES
In this thesis we want to create scalable, fault-tolerant and self-configuring dictionaries that can be deployed in a wide range of networks, including highly dynamic networks with frequent membership changes, like peer-to-peer overlay networks or wireless ad hoc networks.
openaire +4 more sources
Ringo: Interactive Graph Analytics on Big-Memory Machines [PDF]
We present Ringo, a system for analysis of large graphs. Graphs provide a way to represent and analyze systems of interacting objects (people, proteins, webpages) with edges between the objects denoting interactions (friendships, physical interactions ...
Banerjee, Arijit +6 more
core +1 more source
ABSTRACT The growing impacts of climate change and energy scarcity demand environmentally sustainable refrigeration solutions. This study investigates eco‐friendly refrigerants (R152a, R290 and R600a) and their optimized ternary mixture as alternatives to R134a. Four blend compositions were analysed using experimental testing and REFPROP 10.0 modelling
M. Periyasamy, P. Senthilkumar
wiley +1 more source
Bringing efficient advanced queries to distributed hash tables [PDF]
Interest in distributed storage is fueled by demand for reliability and resilience combined with ubiquitous availability. Peer-to-peer (P2P) storage networks are known for their decentralized control, self-organization, and adaptation. Advanced searching for documents and resources remains an open problem.
Bauer, Daniel +3 more
openaire +2 more sources
Blockchain Technology and the Circular Economy Transition: Associations With Company Performance
ABSTRACT The adoption of circular economy (CE) practices in the private sector has received increasing academic and managerial attention, although the implementation of such practices continues to face significant barriers. Among Industry 4.0 technologies, blockchain has been identified as a potential factor associated with the CE transition.
Josep Llach +3 more
wiley +1 more source

