Text feature extraction based on deep learning: a review
H Liang, X Sun, Y Sun, Y Gao - EURASIP journal on wireless …, 2017 - Springer
Selection of text feature item is a basic and important matter for text mining and information
retrieval. Traditional methods of feature extraction require handcrafted features. To hand …
retrieval. Traditional methods of feature extraction require handcrafted features. To hand …
Underwater image enhancement using blending of CLAHE and percentile methodologies
In this paper, a method has been proposed for enhancement of underwater images
commonly suffering from low contrast and degraded shading quality. The entirety of the …
commonly suffering from low contrast and degraded shading quality. The entirety of the …
Accelerating big data applications using lightweight virtualization framework on enterprise cloud
Hypervisor-based virtualization technology has been successfully used to deploy high-
performance and scalable infrastructure for Hadoop, and now Spark applications. Container …
performance and scalable infrastructure for Hadoop, and now Spark applications. Container …
Eye state recognition based on deep integrated neural network and transfer learning
L Zhao, Z Wang, G Zhang, Y Qi, X Wang - Multimedia Tools and …, 2018 - Springer
Eye state recognition is widely used in many fields, such as driver drowsiness recognition,
facial expression classification, and human–computer interface technology. This study …
facial expression classification, and human–computer interface technology. This study …
AutoTiering: automatic data placement manager in multi-tier all-flash datacenter
Z Yang, M Hoseinzadeh, A Andrews… - 2017 IEEE 36th …, 2017 - ieeexplore.ieee.org
In the year of 2017, the capital expenditure of Flash-based Solid State Drivers (SSDs) keeps
declining and the storage capacity of SSDs keeps increasing. As a result, the “selling point” …
declining and the storage capacity of SSDs keeps increasing. As a result, the “selling point” …
AutoPath: harnessing parallel execution paths for efficient resource allocation in multi-stage big data frameworks
Due to the flexibility of data operations and scalability of in-memory cache, Spark has
revealed the potential to become the standard distributed framework to replace Hadoop for …
revealed the potential to become the standard distributed framework to replace Hadoop for …
AutoReplica: automatic data replica manager in distributed caching and data processing systems
Z Yang, J Wang, D Evans, N Mi - 2016 IEEE 35th International …, 2016 - ieeexplore.ieee.org
Nowadays, replication technique is widely used in data center storage systems for large
scale Cyber-physical Systems (CPS) to prevent data loss. However, side-effect of replication …
scale Cyber-physical Systems (CPS) to prevent data loss. However, side-effect of replication …
[PDF][PDF] Software migration frameworks for software system solutions: A systematic literature review
M Shoaib, A Ishaq, MA Ahmad, S Talib… - … Journal of Advanced …, 2017 - researchgate.net
This study examines and review the current software migration frameworks. With the quick
technological enhancement, companies need to move their software's from one platform to …
technological enhancement, companies need to move their software's from one platform to …
EEG analysis for implicit tagging of video data
In this work, we aim to find neuro-physiological indicators to validate tags attached to video
content. Subjects are shown a video and a tag and we aim to determine whether the shown …
content. Subjects are shown a video and a tag and we aim to determine whether the shown …
3-dimensional coordinated search technique for a randomly located target
MAA El-Hadidy, AEMA Teamah… - International Journal …, 2018 - inderscienceonline.com
This paper involves a new coordinated search model that determines a three dimensional
randomly located target by using two searchers. Rather than finding the expected value the …
randomly located target by using two searchers. Rather than finding the expected value the …