Ara
Toplam kayıt 50, listelenen: 31-40
A prediction approach for the functional effects of non-coding gene variants
(Institute of Electrical and Electronics Engineers Inc., 2022)
The aim of this study is to develop an approach for predicting the functional effects of variants of non-coding genes which have great importance in human genetics. Non-coding genes have formed a very vital field of study ...
Transfer learning-based convolutional neural network for COVID-19 detection with X-ray images
(Elsevier, 2021)
Countries the world over have focused on protecting human health and combatting the COVID-19 outbreak. It has had a destructive effect on human health and daily life. Many people have been infected and have died. It is ...
Identification of distorted RF components via deep multi-task learning
(Institute of Electrical and Electronics Engineers Inc., 2022)
High-quality radio frequency (RF) components are imperative for efficient wireless communication. However, these components can degrade over time and need to be identified so that either they can be replaced or their effects ...
A survey of machine learning-based methods for COVID-19 medical image analysis
(Springer Science and Business Media Deutschland GmbH, 2023)
The ongoing COVID-19 pandemic caused by the SARS-CoV-2 virus has already resulted in 6.6 million deaths with more than 637 million people infected after only 30 months since the first occurrences of the disease in December ...
Altitude optimization of UAVS serving as base stations using deep learning
(İstanbul Medipol Üniversitesi Fen Bilimleri Enstitüsü, 2020)
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 measurements or ray tracing ...
A comprehensive survey on small object detection
(İstanbul Medipol Üniversitesi Fen Bilimleri Enstitüsü, 2021)
The advancement in artificial intelligence and computer vision facilitates object detection for computer-based systems. Object detection is used in a wide spectrum of applications such as face detection, enforcement ...
Path loss prediction from heightmap using deep learning
(İstanbul Medipol Üniversitesi Fen Bilimleri Enstitüsü, 2021)
Wireless channel parameters of a region are required for a successful network planning. Sufficient information about those parameters can be obtained by either actual measurements or ray-tracing simulations that use 3D ...
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 ...
rs-fMRI analysis using spatio-temporal sparse convolutional neural networks
(Institute of Electrical and Electronics Engineers Inc., 2022)
Neuropsychiatric diseases such as Autism Spectrum Disorder (ASD) and Schizophrenia cause various behavioral and communication dysfunctions in human life. Resting state functional magnetic resonance imaging (rs-fMRI) is ...
HMRN: heat map regression network to detect and track small objects in wide-area motion imagery
(Springer Science and Business Media Deutschland GmbH, 2023)
We propose HMRN, a deep heat map regression network to detect and track small moving objects in wide-area motion imagery (WAMI) by modifying a deep multi-object tracker. Object detection in WAMI images is challenging, ...