Ara
Toplam kayıt 65, 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 ...
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 ...
The development of multifunctional nanoplatforms for targeted dual drug delivery
(İstanbul Medipol Üniversitesi, Fen Bilimleri Enstitüsü, 2022)
The research on the use of graphene (G) in biological applications as a drug and gene carrier has increased exponentially simply due to its superior properties as a nanomaterial. On the other hand, many research studies ...
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 ...
Parallelized cyber reconnaissance automation: A real-time and scheduled security scanner
(İstanbul Medipol Üniversitesi, Fen Bilimleri Enstitüsü, 2022)
The extraordinary advancement of technology has increased the importance of achieving the required level of information security, which is still difficult to achieve. Recently, network and web application attacks have ...
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 ...