Collaborative adversarial autoencoders: An effective collaborative filtering model under the GAN framework
Recently, deep learning has become a preferred choice for performing tasks in diverse
application domains such as computer vision, natural language processing, sensor data …
application domains such as computer vision, natural language processing, sensor data …
Graph fusion for finger multimodal biometrics
In terms of biometrics, a human finger itself is with trimodal traits including fingerprint, finger-
vein, and finger-knuckle-print, which provides convenience and practicality for finger …
vein, and finger-knuckle-print, which provides convenience and practicality for finger …
Learning deep features for DNA methylation data analysis
Z Si, H Yu, Z Ma - IEEE Access, 2016 - ieeexplore.ieee.org
Many studies demonstrated that the DNA methylation, which occurs in the context of a CpG,
has strong correlation with diseases, including cancer. There is a strong interest in analyzing …
has strong correlation with diseases, including cancer. There is a strong interest in analyzing …
A benchmark dataset and learning high-level semantic embeddings of multimedia for cross-media retrieval
The selection of semantic concepts for modal construction and data collection remains an
open research issue. It is highly demanding to choose good multimedia concepts with small …
open research issue. It is highly demanding to choose good multimedia concepts with small …
Adaptive actuator compensation of position tracking for high-speed trains with disturbances
In this paper, the adaptive fault compensation problem is investigated for high-speed trains
in the presence of time-varying system parameters, disturbances, and actuator failures. To …
in the presence of time-varying system parameters, disturbances, and actuator failures. To …
Intelligent VNFs selection based on traffic identification in vehicular cloud networks
J Wang, B He, J Wang, T Li - IEEE Transactions on Vehicular …, 2018 - ieeexplore.ieee.org
Internet of Vehicles (IoV) has become a significant research area due to its specific features
and applications such as efficient traffic management, road safety, and entertainment …
and applications such as efficient traffic management, road safety, and entertainment …
Machine learning based resource utilization and pre-estimation for network on chip (NoC) communication
Network on chip (NoC) is the solution to solve the problem of larger system on chip and bus
based communication system. NoC provides scalable, highly reliable and modular …
based communication system. NoC provides scalable, highly reliable and modular …
[HTML][HTML] Deep learning for human disease detection, subtype classification, and treatment response prediction using epigenomic data
Deep learning (DL) is a distinct class of machine learning that has achieved first-class
performance in many fields of study. For epigenomics, the application of DL to assist …
performance in many fields of study. For epigenomics, the application of DL to assist …
Predicting the associations between microbes and diseases by integrating multiple data sources and path-based HeteSim scores
A variety of microbial communities are renowned as “a forgotten organ” throughout human
body, which have significant impacts on the human health and disease. Identifying the …
body, which have significant impacts on the human health and disease. Identifying the …
[HTML][HTML] Impersonation attack detection in mobile edge computing by levering sarsa technique in physical layer security
Smart health systems typically integrate sensor technology with the Internet of Things,
enabling healthcare systems to monitor patients. These biomedical applications collect …
enabling healthcare systems to monitor patients. These biomedical applications collect …