His primary areas of investigation include Computer network, Distributed computing, Multicast, Real-time computing and Bandwidth. Kien A. Hua combines topics linked to Vehicular ad hoc network with his work on Computer network. His Distributed computing study integrates concerns from other disciplines, such as Distributed memory, Protocol processing, Tuple and Adapter.
His Multicast research is multidisciplinary, incorporating elements of Software deployment and The Internet. Kien A. Hua interconnects Node, Tree and Overhead in the investigation of issues within The Internet. As a part of the same scientific study, he usually deals with the Bandwidth, concentrating on Download and frequently concerns with Bandwidth sharing, Session, Multimedia servers, Broadcast communication network and Video on demand.
Kien A. Hua focuses on Computer network, Distributed computing, Artificial intelligence, Data mining and Scalability. His work carried out in the field of Computer network brings together such families of science as Wireless ad hoc network and Wireless network. His study in the field of Load balancing also crosses realms of Bottleneck.
The concepts of his Load balancing study are interwoven with issues in Tuple and Parallel computing. His Artificial intelligence research integrates issues from Machine learning, Computer vision and Pattern recognition. The various areas that he examines in his Data mining study include Query expansion, Theoretical computer science, Search engine indexing and Image retrieval.
His primary areas of study are Artificial intelligence, Machine learning, Feature extraction, Hash function and Recurrent neural network. His studies deal with areas such as Pattern recognition and Natural language processing as well as Artificial intelligence. His studies in Machine learning integrate themes in fields like Sentence and Data mining.
Kien A. Hua has included themes like Probabilistic logic, Graph, Joint and Human–computer interaction in his Feature extraction study. The study incorporates disciplines such as Salient, Activity recognition and State in addition to Recurrent neural network. His Redundancy research includes elements of Network performance, Computer network and Thread.
Kien A. Hua spends much of his time researching Artificial intelligence, Feature extraction, Machine learning, Data mining and Hash function. His study ties his expertise on Computer vision together with the subject of Artificial intelligence. His Feature extraction study also includes
His research in Machine learning intersects with topics in Semantics, Nearest neighbor search and Subspace topology. His Data mining study combines topics in areas such as Abstraction, Perspective, Bilinear interpolation and Microblogging. His studies deal with areas such as Video post-processing, Video compression picture types, Motion compensation and Block-matching algorithm as well as Pattern recognition.
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ZIGZAG: an efficient peer-to-peer scheme for media streaming
D. A. Tran;K. A. Hua;T. Do.
international conference on computer communications (2003)
Patching: a multicast technique for true video-on-demand services
Kien A. Hua;Ying Cai;Simon Sheu.
acm multimedia (1998)
Skyscraper broadcasting: a new broadcasting scheme for metropolitan video-on-demand systems
Kien A. Hua;Simon Sheu.
acm special interest group on data communication (1997)
A peer-to-peer architecture for media streaming
D.A. Tran;K.A. Hua;T.T. Do.
IEEE Journal on Selected Areas in Communications (2004)
P2VoD: providing fault tolerant video-on-demand streaming in peer-to-peer environment
T.T. Do;K.A. Hua;M.A. Tantaoui.
international conference on communications (2004)
Decision tree classifier for network intrusion detection with GA-based feature selection
Gary Stein;Bing Chen;Annie S. Wu;Kien A. Hua.
acm southeast regional conference (2005)
Chaining: a generalized batching technique for video-on-demand systems
S. Sheu;K.A. Hua;W. Tavanapong.
international conference on multimedia computing and systems (1997)
Optimizing patching performance
Ying Cai;Kien A. Hua;Khanh Vu.
conference on multimedia computing and networking (1998)
Handling Data Skew in Multiprocessor Database Computers Using Partition Tuning
Kien A. Hua;Chiang Lee.
very large data bases (1991)
Processing range-monitoring queries on heterogeneous mobile objects
Ying Cai;K.A. Hua;Guohong Cao.
mobile data management (2004)
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