Results 21 to 30 of about 27,176,024 (344)
Probabilistic learning for selective dissemination of information [PDF]
, 1999 New methods and new systems are needed to filter or to selectively distribute the increasing volume of electronic information being produced nowadays. An effective information filtering system is one that provides the exact information that fulfills user'
Crestani, F., Amati, G.
core +4 more sources
Internet: An Innovative Environment for Information Dissemination, Access, and Retrieval in Distance Education [PDF]
, 1995 Information sources available through the networks such as the Internet and Bitnet have proliferated and diversified in recent years. Nowadays, in addition to textual information, multimedia databases containing `documents' with graphics, images, sound ...
Tonta, Yaşar
core +2 more sources
BPR: An Erasure Coding Batch Parallel Repair Approach in Distributed Storage Systems
IEEE Access, 2023 Today, Erasure Coding is one of the most significant techniques widely used in distributed systems because it can improve reliability for large amounts of data with low storage overhead.
Ying Song, Wenxuan Zhao, Bo Wang
doaj +1 more source
FACHS: Adaptive Hybrid Storage Strategy Based on File Access Characteristics
IEEE Access, 2023 With the widespread use of distributed systems and the development of big data technology, the storage redundancy, data availability and persistence of distributed systems have become a concern.
Ying Song, Qiang Zhang, Bo Wang
doaj +1 more source
HV-SNSP: A Low-Overhead Data Recovery Method Based on Cross-Checking
IEEE Access, 2023 The failure of a single unreliable commodity component is very common in large-scale distributed storage systems. In order to ensure the reliability of data in large-scale distributed storage systems, many studies have emerged one after another.
Ying Song, Tiantong Mu, Bo Wang
doaj +1 more source
Long-Tailed Visual Recognition via Improved Cross-Window Self-Attention and TrivialAugment
IEEE Access, 2023 In the real world, large-scale image data sets usually present long-tailed distribution. When traditional visual recognition methods are applied to long-tail image data sets, problems such as model failure and sudden decline in recognition accuracy occur.
Ying Song, Mengxing Li, Bo Wang
doaj +1 more source
Agreement in Epidemic Information Dissemination [PDF]
, 2016 Consensus is one of the fundamental problems in multi-agent systems and distributed computing, in which agents or processing nodes are required to reach global agreement on some data value, decision, action, or synchronisation. In the absence of centralised coordination, achieving global consensus is challenging especially in dynamic and large-scale ...
Mosab M. Ayiad +2 more
openaire +1 more source
Heliyon, 2021 Proven and sustainable practices like climate-smart agricultural practices (CSAPs) need to be prioritized and promoted for uptake especially by the farmers to achieve sustainable development.
Andrew Waaswa +3 more
semanticscholar +1 more source
LiteDEKR: End‐to‐end lite 2D human pose estimation network
IET Image Processing, 2023 The 2D human pose estimation plays an important role in human‐computer interaction and action recognition. Although the method based on high‐resolution network has superior performance, there is still room for improvement in terms of speed and ...
Xueqiang Lv +5 more
doaj +1 more source
A Long-Tailed Image Classification Method Based on Enhanced Contrastive Visual Language
Sensors, 2023 To solve the problem that the common long-tailed classification method does not use the semantic features of the original label text of the image, and the difference between the classification accuracy of most classes and minority classes are large, the ...
Ying Song, Mengxing Li, Bo Wang
doaj +1 more source