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Toplam kayıt 6, listelenen: 1-6
Intrinsic graph topological correlation for graph convolutional network propagation
(ELSEVIER, 2022)
Recently, Graph Convolutional Networks (GCNs) and their variants become popular to learn graph-related tasks. These tasks include link prediction, node classification, and node embedding, among many others. In the node ...
A reliable and secure multi-path routing strategy for underwater acoustic sensor networks
(ELSEVIER, 2022)
Underwater Acoustic Sensor Networks (UASNs) have nowadays become an attractive topic in scientific studies
and commercial applications. An important challenge in UASN’s design is the limited network lifetime and ...
Disaster-resilient lightpath routing in WDM optical networks
(SPRINGER, 2022)
Optical network serves as a core network with huge capacity and a multitude of high-speed
data transmission. Natural disasters and physical attacks showed signifcant impacts on the
optical networks such as damages the ...
Deep learning based semantic segmentation and quantification for MRD biochip images
(ELSEVIER SCI LTD, 2022)
Microfluidic platforms offer prominent advantages for the early detection of cancer and monitoring the patient
response to therapy. Numerous microfluidic platforms have been developed for capturing and quantifying the
tumor ...
Deep learning approaches for vehicle type classification with 3-D magnetic sensor
(ELSEVIER, 2022)
In the Intelligent Transportation Systems, it is crucial to determine the type of vehicles to improve traffic
management, increase human comfort, and enable future development of transport infrastructures. This paper
presents ...
Developing a label propagation approach for cancer subtype classification problem
(TUBITAK SCIENTIFIC & TECHNICAL RESEARCH COUNCIL TURKEYATATURK BULVARI NO 221, KAVAKLIDERE, ANKARA 00000, TURKEY, 2022)
Cancer is a disease in which abnormal cells grow uncontrollably and invade other tissues. Several types of cancer have various
subtypes with different clinical and biological implications. Based on these differences, ...