Results 31 to 40 of about 27,811 (284)
Accelerating Catalyst Materials Discovery With Large Artificial Intelligence Models
Angewandte Chemie, EarlyView.AI‐empowered catalysis research via integrated database platform, universal machine learning interatomic potentials (MLIPs), and large language models (LLMs). ABSTRACT The integration of artificial intelligence (AI) into catalysis is fundamentally reshaping the research paradigm of catalyst discovery.
Di Zhang +7 more
wiley +2 more sources
A Robust Fault-Tolerant and Scalable Cluster-wide Deduplication for Shared-Nothing Storage Systems
, 2018 Deduplication has been largely employed in distributed storage systems to improve space efficiency. Traditional deduplication research ignores the design specifications of shared-nothing distributed storage systems such as no central metadata bottleneck,
Hamandawana, Prince +4 more
core +1 more source
SEARS: Space Efficient And Reliable Storage System in the Cloud
, 2015 Today's cloud storage services must offer storage reliability and fast data retrieval for large amount of data without sacrificing storage cost. We present SEARS, a cloud-based storage system which integrates erasure coding and data deduplication to ...
Guo, Katherine +4 more
core +1 more source
First Steps towards Data-driven Adversarial Deduplication [PDF]
Information, 2018 In traditional databases, the entity resolution problem (which is also known as deduplication), refers to the task of mapping multiple manifestations of virtual objects to its corresponding real-world entity. When addressing this problem, in both theory and practice, it is widely assumed that such sets of virtual object appear as the result of clerical
Paredes J. N. +3 more
openaire +4 more sources
CPDA: A Confidentiality-Preserving Deduplication Cloud Storage With Public Cloud Auditing
IEEE Access, 2019 With growing popularity of cloud storage, the number of users of outsourcing data to cloud servers has increased dramatically. On the one hand, the rapidly increasing volume of data in the cloud is accompanied by a lot of data duplication.
Jiaojiao Wu +3 more
doaj +1 more source
Survey of image deduplication for cloud storage
Sistemnì Doslìdženâ ta Informacìjnì Tehnologìï, 2023 Increased growth of real-life communication has motivated the creation, transmission, and digital storage of vast volumes of images and video data on the cloud.
Shilpa Chaudhari, Ramalingappa Aparna
doaj +1 more source
Advanced Healthcare Materials, EarlyView.Cerebral organoids are transforming brain research, yet the field remains fragmented. This comprehensive systematic review maps 738 studies published between 2014 and 2024 to uncover trends, gaps, and opportunities across neuroscience. Introducing OrganoidMap—an interactive, open‐access platform to explore and compare models—this work enables ...
Anna Wolfram +10 more
wiley +1 more source
Research progress on secure data deduplication in cloud
Tongxin xuebao, 2016 In order to improve the efficiency of cloud storage and save the communication bandwidth, a deduplication mechanism for multi-duplicate of the same data in cloud environment was needed.
Jin-bo XIONG +5 more
doaj +2 more sources
Parallel Weighted Random Sampling [PDF]
, 2019 Data structures for efficient sampling from a set of weighted items are an important building block of many applications. However, few parallel solutions are known. We close many of these gaps both for shared-memory and distributed-memory machines.
, Sanders, Peter
core +1 more source
Deduplicating bibliographic data
, 2022 There are several instances where I have a collection of references that I want to deduplicate and merge.
openaire +1 more source