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Toplam kayıt 66, listelenen: 51-60
OFDM with index modulation for narrowband iot and mmtc
(İstanbul Medipol Üniversitesi Fen Bilimleri Enstitüsü, 2018)
The crucial aim for 5G narrowband Internet of Things (NB-IoT) is to support massive Machine-Type Communications (mMTC) with wide coverage area, low power consumption, low hardware complexity and low data rate. Direct ...
5G challenges : Waveform design and D2D communication
(İstanbul Medipol Üniversitesi Fen Bilimleri Enstitüsü, 2018)
Fifth generation (5G) of communication systems is expected to satisfy a wide variety of requirements with regards to different applications. Flexibility, low latency, low power consumption are the most important ones. Using ...
Extending light field camera capabilities
(İstanbul Medipol Üniversitesi Fen Bilimleri Enstitüsü, 2017)
A traditional camera captures an image by projecting a scene on a two-dimensional image sensor plane regardless of the direction light rays coming onto the sensor. A light field camera, in contrast, records light rays in ...
Integrative analysis of axolotl gene expression data from regenerative and wound healing limb tissues
(Nature Research, 2019)
Axolotl (Ambystoma mexicanum) is a urodele amphibian endowed with remarkable regenerative capacities manifested in scarless wound healing and restoration of amputated limbs, which makes it a powerful experimental model for ...
Deep learning based prediction of path loss values and distributions from satellite images
(İstanbul Medipol Üniversitesi Fen Bilimleri Enstitüsü, 2021)
It is critical to provide rapid deployment of robust and effective outdoor communication systems in today's world, where many seek to provide wireless connection services from aerial grids of drones and balloons, or low ...
Bioconjugated β-cyclodextrin-perfluorohexane nanocone clusters as functional agents for nanoparticle mediated histotripsy
(İstanbul Medipol Üniversitesi, Fen Bilimleri Enstitüsü, 2022)
Nanocone clusters (NCC) as new generation agent of nanoparticle mediated histotripsy (NMH) successfully addressed all the limitations of previously designed nanodroplets (NDs). NCC can be obtained by simply mixing of ...
A new rodent behavioral paradigm for studying closed-loop cursor control
(İstanbul Medipol Üniversitesi, Fen Bilimleri Enstitüsü, 2022)
Control of cursor on a PC monitor using a joystick is a standard paradigm to study the neural mechanisms involved in motor skill learning in human and non-human primates. This paradigm is also commonly used in non-human ...
Deep learning model optimization for real-time smallobject detection on embedded gpus
(İstanbul Medipol Üniversitesi, Fen Bilimleri Enstitüsü, 2021)
Camera mounted drones are mostly used in surveillance applications. Most of these surveillance systems track objects in two steps; firstly, they detect and recognize targets in a scene and then track those targets in the ...
Detection of multistage Alzheimer from 4D FMRI data using deep learning
(İstanbul Medipol Üniversitesi, Fen Bilimleri Enstitüsü, 2022)
The application of machine learning techniques, which significantly improve the recognition of patterns in biomedical data, such as drug delivery systems and medical imaging, has emerged as one of the most important methods ...
Public perception towards children's COVID-19 vaccination with natural language processing
(İstanbul Medipol Üniversitesi, Fen Bilimleri Enstitüsü, 2022)
At the end of 2019, Coronavirus disease manifested itself in Wuhan, China, turned into an epidemic, became a global problem, and caused many deaths. As a result of the strategies developed with the spread of the epidemic, ...