Results 61 to 70 of about 3,791,161 (381)

Cloud Computing in Bioinformatics [PDF]

, 2010
Cloud Computing presents a new approach to allow the development of dynamic, distributed and highly scalable software. For this purpose, Cloud Computing offers services, software and computing infrastructure independently through the network. To achieve a system that supports these characteristics, Service-Oriented Architectures (SOA) and agent ...
Bajo Pérez, Javier, Zato Domínguez, Davinia Carolina, Prieta Pintado, Fernando de la, Luis Reboredo, Ana de, Tapia Martínez, Dante I.   +4 more
openaire   +3 more sources

Cost-Aware Multimedia Data Allocation for Heterogeneous Memory Using Genetic Algorithm in Cloud Computing

IEEE Transactions on Cloud Computing, 2020
Recent expansions of Internet-of-Things (IoT) applying cloud computing have been growing at a phenomenal rate. As one of the developments, heterogeneous cloud computing has enabled a variety of cloud-based infrastructure solutions, such as multimedia big
Keke Gai, Longfei Qiu, Hui Zhao, Meikang Qiu   +3 more
semanticscholar   +1 more source

A Survey of Communication Protocols for Internet of Things and Related Challenges of Fog and Cloud Computing Integration [PDF]

ACM Computing Surveys, 2018
The fast increment in the number of IoT (Internet of Things) devices is accelerating the research on new solutions to make cloud services scalable.
Jasenka Dizdarevic, Francisco Carpio, A. Jukan, X. Masip-Bruin   +3 more
semanticscholar   +1 more source

Temporal enhanced sentence-level attention model for hashtag recommendation

CAAI Transactions on Intelligence Technology, 2018
Hashtags of microblogs can provide valuable information for many natural language processing tasks. How to recommend reliable hashtags automatically has attracted considerable attention.
Jun Ma, Chong Feng, Ge Shi, Xuewen Shi, Heyang Huang   +4 more
doaj   +1 more source

Flow‐based immunomagnetic enrichment of circulating tumor cells from diagnostic leukapheresis product

Molecular Oncology, EarlyView.
The number of circulating tumor cells obtained from prostate cancer patients was increased approximately 5‐fold compared to regular CellSearch when processing 2 mL diagnostic leukapheresis material aliquots and increased by 44‐fold when processing 20 mL DLA aliquots using the flow enrichment target capture Halbach‐array.
Michiel Stevens, Anouk Mentink, Frank A. W. Coumans, Eshwari Dathathri, Khrystany T. Isebia, Jaco Kraan, Ronald de Wit, John W. M. Martens, Leon W. M. M. Terstappen   +8 more
wiley   +1 more source

Multivariate time series collaborative compression for monitoring systems in securing cloud-based digital twin

Journal of Cloud Computing: Advances, Systems and Applications
With the booming of cloud-based digital twin systems, monitoring key performance indicators has become crucial for ensuring system security and reliability.
Zicong Miao, Weize Li, Xiaodong Pan
doaj   +1 more source

Service Management for IoT: Requirements, Taxonomy, Recent Advances and Open Research Challenges

IEEE Access, 2019
The exponential growth in the number of smart devices connected to the Internet of Things (IoT), and associated with various IoT-based smart applications and services, raises interoperability challenges which could affect the sustainability of IoT ...
Abdelmuttlib Ibrahim Abdalla Ahmed, Abdullah Gani, Siti Hafizah Ab Hamid, Abdelzahir Abdelmaboud, Hassan Jamil Syed, Riyaz Ahamed Ariyaluran Habeeb Mohamed, Ihsan Ali   +6 more
doaj   +1 more source

Security of Cloud FPGAs: A Survey [PDF]

arXiv, 2020
Integrating Field Programmable Gate Arrays (FPGAs) with cloud computing instances is a rapidly emerging trend on commercial cloud computing platforms such as Amazon Web Services (AWS), Huawei cloud, and Alibaba cloud. Cloud FPGAs allow cloud users to build hardware accelerators to speed up the computation in the cloud.
arxiv  

Addressing persistent challenges in digital image analysis of cancer tissue: resources developed from a hackathon

Molecular Oncology, EarlyView.
Large multidimensional digital images of cancer tissue are becoming prolific, but many challenges exist to automatically extract relevant information from them using computational tools. We describe publicly available resources that have been developed jointly by expert and non‐expert computational biologists working together during a virtual hackathon
Sandhya Prabhakaran, Clarence Yapp, Gregory J. Baker, Johanna Beyer, Young Hwan Chang, Allison L. Creason, Robert Krueger, Jeremy Muhlich, Nathan Heath Patterson, Kevin Sidak, Damir Sudar, Adam J. Taylor, Luke Ternes, Jakob Troidl, Xie Yubin, Artem Sokolov, Darren R. Tyson   +16 more
wiley   +1 more source

Lightweight Multiscale Spatio-Temporal Graph Convolutional Network for Skeleton-Based Action Recognition

Big Data Mining and Analytics
Using skeletal information to model and recognize human actions is currently a hot research subject in the realm of Human Action Recognition (HAR). Graph Convolutional Networks (GCN) have gained popularity in this discipline due to their capacity to ...
Zhiyun Zheng, Qilong Yuan, Huaizhu Zhang, Yizhou Wang, Junfeng Wang   +4 more
doaj   +1 more source