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Toplam kayıt 182, listelenen: 61-70
Design of dense brush conformation bearing gold nanoparticles as theranostic agent for cancer
(Springer, 2019)
Dense brush conformation–bearing theranostic agents are emerging as drug delivery systems due to their higher ability to escape from reticuloendothelial system uptake which prolongs their in vivo circulation time. With the ...
Modification of the Cu current collector by magnetron sputtering to improve the cycle performance of MxOy (M:Ni,Mn,Co) anodes for lithium ion batteries
(Elsevier Ltd, 2021)
The present work reports a methodology to produce electrodes with superior performances for batteries. Herein, the fabrication of an anode material that is made of a ternary transition metal oxides (nickel-manganese-cobalt ...
Predicting a water infrastructure leakage index via machine learning
(Elsevier Ltd, 2022)
In this study, the infrastructure leakage index (ILI) indicator that is preferred frequently by the water utilities with sufficient data to determine the performances of water distribution systems is modeled for the first ...
Human action recognition approaches with video datasets-A survey
(Elsevier B.V., 2021)
Human Activity Recognition has recently attracted considerable attention. This has been triggered by the rapid development of advance technologies and learning methods. Human action recognition can be actively used in a ...
VLCnet: Deep learning based end-to-end visible light communication system
(IEEE-Institute of Electrical and Electronics Engineers Inc, 2020)
Visible light communication is a popular research area where proposed communication methods must satisfy the lighting related requirements as well. Suggested VLC modules should not only improve communication quality such ...
Integrated methodology for evaluating the efficiency of airports: A case study in Turkey
(Elsevier Ltd, 2022)
Airports play an important role in the economic development of countries. Efficiency analyses of airports are crucial for providing an important roadmap to airport authorities and for helping to benchmark their airports ...
Mechanistic insight into impact of phosphorylation on the enzymatic steps of farnesyltransferase
(Wiley, 2022)
Farnesyltransferase (FTase) is a heterodimeric enzyme, which catalyzes covalent attachment of the farnesyl group to target proteins, thus coordinating their trafficking in the cell. FTase has been demonstrated to be highly ...
Space-variant blur kernel estimation and image deblurring through kernel clustering
(Elsevier B.V., 2019)
This paper presents a space-variant blur kernel estimation and image deblurring framework. For space-variant blur kernel estimation, the input image is divided into small patches, and for each patch, the blur kernel is ...
Light field extraction from a conventional camera
(Elsevier B.V., 2022)
This paper presents a single-shot light field (LF) acquisition method using a conventional camera. The proposed method does not require any modification in the camera design and instead involves an offline calibration ...
Soft segment length controls morphology of poly(ethylene oxide) based segmented poly(urethane-urea) copolymers in a binary solvent
(Elsevier Science Bv., 2017)
It is known that morphology and structure-property behavior of poly(ethylene oxide) (PEO) based poly (urethane-urea) copolymers are affected by soft segment (SS) chain length. Here, a multi-scale computational study is ...