His primary areas of study are Artificial intelligence, Visualization, Multimedia, Gesture and Distributed computing. Zhihan Lv combines topics linked to Pattern recognition with his work on Artificial intelligence. His research in Visualization intersects with topics in User experience design, Rendering and Graphics.
His study in Human–computer interaction extends to Multimedia with its themes. His study in Human–computer interaction is interdisciplinary in nature, drawing from both Interactive visualization, Video game and Computer graphics. His studies in Gesture integrate themes in fields like Multimodal interaction and Usability.
Zhihan Lv mostly deals with Artificial intelligence, Virtual reality, Big data, Multimedia and Human–computer interaction. Within one scientific family, Zhihan Lv focuses on topics pertaining to Computer vision under Artificial intelligence, and may sometimes address concerns connected to Convolutional neural network. His Virtual reality research incorporates themes from Transport engineering, Traffic analysis, Preprint, Visualization and Information system.
In his works, Zhihan Lv performs multidisciplinary study on Visualization and Seabed. He interconnects Computer security, Database and Data science in the investigation of issues within Big data. In his study, which falls under the umbrella issue of Human–computer interaction, Usability is strongly linked to Gesture.
Artificial intelligence, Distributed computing, Computer network, The Internet and Big data are his primary areas of study. His biological study spans a wide range of topics, including Machine learning and Computer vision. His Computer vision study integrates concerns from other disciplines, such as Visualization and Robustness.
His research in Distributed computing intersects with topics in Enhanced Data Rates for GSM Evolution, Service and Information system. His Computer network research is multidisciplinary, relying on both Energy consumption, Wireless network and Smart city. He interconnects Data modeling, Information privacy and Data science in the investigation of issues within Big data.
His primary scientific interests are in Distributed computing, Computer network, Artificial intelligence, Energy consumption and Big data. His studies deal with areas such as Service, Enhanced Data Rates for GSM Evolution, The Internet, Information system and Process as well as Distributed computing. His studies in Computer network integrate themes in fields like Order and Information privacy.
His work carried out in the field of Energy consumption brings together such families of science as Secrecy, Efficient energy use, Parallel processing and Access control. His study in Big data is interdisciplinary in nature, drawing from both Data modeling and Actuarial science. His Fuzzy logic study typically links adjacent topics like Visualization.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Game on, science - how video game technology may help biologists tackle visualization challenges.
Zhihan Lv;Zhihan Lv;Alex Tek;Alex Tek;Franck Da Silva;Charly Empereur-mot.
PLOS ONE (2013)
Multimodal Hand and Foot Gesture Interaction for Handheld Devices
Zhihan Lv;Alaa Halawani;Shengzhong Feng;Haibo Li.
ACM Transactions on Multimedia Computing, Communications, and Applications (2014)
Touch-less interactive augmented reality game on vision-based wearable device
Zhihan Lv;Alaa Halawani;Shengzhong Feng;Shafiq Ur Réhman.
ubiquitous computing (2015)
Collaborative Multi-hop Routing in Cognitive Wireless Networks
Dingde Jiang;Xu Ying;Yang Han;Zhihan Lv.
Wireless Personal Communications (2016)
Next-Generation Big Data Analytics: State of the Art, Challenges, and Future Research Topics
Zhihan Lv;Houbing Song;Pablo Basanta-Val;Anthony Steed.
IEEE Transactions on Industrial Informatics (2017)
A Self-Assessment Stereo Capture Model Applicable to the Internet of Things.
Yancong Lin;Jiachen Yang;Zhihan Lv;Wei Wei.
A Joint Multi-Criteria Utility-Based Network Selection Approach for Vehicle-to-Infrastructure Networking
Dingde Jiang;Liuwei Huo;Zhihan Lv;Houbing Song.
IEEE Transactions on Intelligent Transportation Systems (2018)
A multicast delivery approach with minimum energy consumption for wireless multi-hop networks
Dingde Jiang;Zhengzheng Xu;Zhihan Lv.
Telecommunication Systems (2016)
Energy-Efficient Multi-Constraint Routing Algorithm With Load Balancing for Smart City Applications
Dingde Jiang;Peng Zhang;Zhihan Lv;Houbing Song.
IEEE Internet of Things Journal (2016)
Rapid Delaunay triangulation for randomly distributed point cloud data using adaptive Hilbert curve
Tianyun Su;Wen Wang;Zhihan Lv;Wei Wu.
Computers & Graphics (2016)
Profile was last updated on December 6th, 2021.
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