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Toplam kayıt 50, listelenen: 41-50
A comparative study of different pre-trained deeplearning models and custom CNN for pancreatic tumor detection
(Zarka Private University, 2023)
Artificial Intelligence and its sub-branches like MachineLearning (ML) and Deep Learning (DL) applications have the potential to have positive effects that can directly affect human life. Medical imaging is briefly making ...
Predicting path loss distributions of a wireless communication system for multiple base station altitudes from satellite images
(IEEE Computer Society, 2022)
It is expected that unmanned aerial vehicles (UAVs) will play a vital role in future communication systems. Optimum positioning of UAVs, serving as base stations, can be done through extensive field measurements or ray ...
Exploring deep learning for adaptive energy detection threshold determination: A multistage approach
(Multidisciplinary Digital Publishing Institute (MDPI), 2023)
The concept of spectrum sensing has emerged as a fundamental solution to address the growing demand for accessing the limited resources of wireless communications networks. This paper introduces a straightforward yet ...
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 ...
Secure future healthcare applications through federated learning approaches
(Springer Science and Business Media Deutschland GmbH, 2024)
The healthcare field is so sensitive to data privacy and security due to including medical and personal information. Almost all healthcare applications are required to increase data security and privacy, which use traditional ...
Cyber-WISE: A cyber-physical deep wireless indoor positioning system and digital twin approach
(Multidisciplinary Digital Publishing Institute (MDPI), 2023)
In recent decades, there have been significant research efforts focusing on wireless indoor localization systems, with fingerprinting techniques based on received signal strength leading the way. The majority of the suggested ...
Iterative kernel reconstruction for deep learning-based blind image super-resolution
(IEEE Computer Society, 2022)
Deep learning based methods have received a great deal of interest in recent years to solve the single image superresolution (SISR) problem and their performance is proven to be superior when compared to classical SR ...
Reconstructing brain functional networks through identifiability and deep learning
(MIT Press Journals, 2024)
We propose a novel approach for the reconstruction of functional networks representing brain dynamics based on the idea that the coparticipation of two brain regions in a common cognitive task should result in a drop in ...
Artificial intelligence in breast imaging: Opportunities, challenges, and legal–ethical considerations
(AVES, 2023)
This review explores the transformative impact of artificial intelligence (AI) in breast imaging, driven by a global rise in breast cancer cases. Propelled by deep learning techniques, AI shows promise in refining diagnostic ...