Bölüm "İstanbul Medipol Üniversitesi, Mühendislik ve Doğa Bilimleri Fakültesi, Bilgisayar Mühendisliği Bölümü" Mühendislik ve Doğa Bilimleri Fakültesi için listeleme
Toplam kayıt 147, listelenen: 21-40
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Convex hull in brain tumor segmentation
(Springer Science and Business Media Deutschland GmbH, 2022)Tumors are the second leading cause of death. Among the tumors, brain tumors constitute one of the most complex tumor categories with a high mortality rate. Therefore, brain tumor detection and segmentation from non-invasive ... -
Creating a learning profile by using face and emotion recognition
(2023)The aim of this work is to employ face recognition for creating learning profiles of the analysed persons who are students in this study. Generating education profiles will help experts in the diagnosis of Attention Deficit ... -
Crowd behavior modeling in emergency evacuation scenarios using belief-desire-intention model
(Springer International Publishing AG, 2020)... -
CutESC: Cutting edge spatial clustering technique based on proximity graphs
(Elsevier, 2019)In this paper, we propose a cut-edge algorithm for spatial clustering (CutESC) based on proximity graphs. The CutESC algorithm removes edges when a cut-edge value for the edge's endpoints is below a threshold. The cut-edge ... -
Cyber security exercises: A comparison of participant evaluation metrics and scoring systems
(Ios Press, 2017)Cyber security exercises became an important tool for the information security domain for various reasons. Raising awareness, improving readiness to cyber-attacks, and testing capabilities of experts before a real incident ... -
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 ... -
Data on cut-edge for spatial clustering based on proximity graphs
(Elsevier, 2020)Cluster analysis plays a significant role regarding automating such a knowledge discovery process in spatial data mining. A good clustering algorithm supports two essential conditions, namely high intra-cluster similarity ... -
A deep learning approach to permanent tooth germ detection on pediatric panoramic radiographs
(Korean Acad Oral and Maxillofacial Radiology, 2022)Purpose: The aim of this study was to assess the performance of a deep learning system for permanent tooth germ detection on pediatric panoramic radiographs.Materials and Methods: In total, 4518 anonymized panoramic ... -
Deep learning for inverse problems in imaging
(IEEE, 2019)Inverse problems have been widely studied in image processing, with applications in areas such as image denoising, blind/non-blind deblurring, super-resolution and compressive sensing. Lately deep learning techniques and ... -
Deep learning- and word embedding-based heterogeneous classifier ensembles for text classification
(Wiley-Hindawi, 2018)The use of ensemble learning, deep learning, and effective document representation methods is currently some of the most common trends to improve the overall accuracy of a text classification/categorization system. Ensemble ... -
Deep learning-based blind image super-resolution using iterative networks
(Institute of Electrical and Electronics Engineers Inc., 2021)Deep learning-based single image super-resolution (SR) consistently shows superior performance compared to the traditional SR methods. However, most of these methods assume that the blur kernel used to generate the ... -
Detailed tail proteomic analysis of axolotl (Ambystoma mexicanum) using an mRNA-seq reference database
(Wiley, 2017)Salamander axolotl has been emerging as an important model for stem cell research due to its powerful regenerative capacity. Several advantages, such as the high capability of advanced tissue, organ, and appendages ... -
Detecting and understanding sentiment trends and emotion patterns of twitter users-a study on the demise of a bollywood celebrity
(MDPI, 2022)Detecting societal sentiment trends and emotion patterns is of great interest. Due to the time-varying nature of these patterns and trends this detection can be a challenging task. In this paper, the emotion patterns and ... -
Detecting spam tweets using machine learning and effective preprocessing
(Association for Computing Machinery, Inc, 2021)Nowadays, with the rapid increase in popularity of online social networks (OSNs), these platforms are realized as ideal places for spammers. Unfortunately, these spammers can easily publish malicious content, advertise ... -
Dimethyl sulfoxide reduces the stability but enhances catalytic activity of the main SARS-CoV-2 protease 3CLpro
(John Wiley and Sons Inc, 2021)Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is responsible for coronavirus disease 2019 (COVID-19), one of the most challenging global pandemics of the modern era. Potential treatment strategies against ... -
Driver drowsiness detection by employing CNN and DLIB
(IEEE (Institute of Electrical and Electronics Engineers), 2021)Every year thousands of people lose their life due to road accidents. One of the main reasons for these accidents is driver drowsiness. In driver drowsiness, the driver slept while driving, which causes the road accident, ... -
Early warning system: from face recognition by surveillance cameras to social media analysis to detecting suspicious people
(Elsevier B.V., 2020)Surveillance security cameras are increasingly deployed in almost every location for monitoring purposes, including watching people and their actions for security purposes. For criminology, images collected from these ... -
Effective induction of gene regulatory networks using a novel recommendation method
(Inderscience Enterprises Ltd., 2019)In this paper, we introduce a method based on recommendation systems to predict the structure of Gene Regulatory Networks (GRNs) making use of data from multiple sources. Our method is based on collaborative filtering ... -
An efficient approach to predict eye diseases from symptoms using machine learning and ranker-based feature selection methods
(MDPI, 2023)The eye is generally considered to be the most important sensory organ of humans. Diseases and other degenerative conditions of the eye are therefore of great concern as they affect the function of this vital organ. With ... -
Emotion and sentiment analysis from Twitter text
(Elsevier, 2019)Online social networks have emerged as new platform that provide an arena for people to share their views and perspectives on different issues and subjects with their friends, family, relatives, etc. We can share our ...