Başlık için Bildiri Koleksiyonu listeleme
Toplam kayıt 51, listelenen: 35-51
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Pancreatic tumor detection by convolutional neural networks
(Institute of Electrical and Electronics Engineers Inc., 2022)Artificial Intelligence and its sub-branches like Machine Learning (ML) and Deep Learning (DL) applications have the potential to have positive effects that can directly affect human life. Medical imaging provides a way ... -
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 ... -
Predictions of drug metabolism pathways through CYP 3A4 enzyme by analysing drug-target interactions network graph
(Association for Computing Machinery, Inc., 2021)The available data of drugs and their targets has increased widely in recent years. Far from the traditional way of studying the drug-target interactions, we propose a network-based computational method to identify new ... -
Real-time web-based International Flight Tickets Recommendation System via Apache Spark
(Institute of Electrical and Electronics Engineers Inc., 2023)Traveling by airplane has become more popular with advanced technology. The tickets can be booked effortlessly via airlines corporation's online platforms. However, recommending the best airline ticket according to the ... -
Recent trends in emotion analysis: A big data analysis perspective
(IEEE-Institute of Electrical and Electronics Engineers, 2020)Human action recognition has recently started to find its way into applications in different applications. Accordingly, human action recognition methods are becoming increasingly important in our daily life. They are used ... -
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 ... -
Sentiment analysis based churn prediction in mobile games using word embedding models and deep learning algorithms
(Institute of Electrical and Electronics Engineers Inc., 2020)Customer churn is one of the most important problems for many industries, including banking, telecommunications, and gaming. In the gaming market, it is observed that the demand on game applications rises with the usage ... -
Small object detection and tracking from aerial imagery
(Institute of Electrical and Electronics Engineers Inc., 2021)Object detection and tracking from airborne imagery draws attention to the parallel development of UAV systems and computer vision technologies. Aerial imagery has its own unique challenges that differ from the training ... -
Spatio-angular resolution trade-off in face recognition
(2024)Ensuring robustness in face recognition systems across various challenging conditions is crucial for their versatility. State-of-the-art methods often incorporate additional information, such as depth, thermal, or angular ... -
Spectrum occupancy prediction exploiting time and frequency correlations through 2D-LSTM
(Institute of Electrical and Electronics Engineers Inc., 2020)The identification of spectrum opportunities is a pivotal requirement for efficient spectrum utilization in cognitive radio systems. Spectrum prediction offers a convenient means for revealing such opportunities based on ... -
Swin transformer based siamese network for thermal and optical image registration
(IEEE-Institute of Electrical and Electronics Engineers, 2023)The process of multi-modal image registration is fundamental in remote sensing and visual navigation applications. However, existing image registration methods that are designed for single modality images do not provide ... -
Theoretical limits of soop tdoa localization of unmanned systems with imperfect synchronization
(2023)Self-localization is of crucial importance to Unmanned Aerial Vehicle (UAV) industry. Localization systems such as the Global Positioning System (GPS) are prone to jamming and spoofing. Localization using the Signal-Of-Opportunity ... -
Transfer learning through weighted loss function and group normalization for vessel segmentation from retinal images
(Institute of Electrical and Electronics Engineers Inc., 2021)The vascular structure of blood vessels is important in diagnosing retinal conditions such as glaucoma and diabetic retinopathy. Accurate segmentation of these vessels can help in detecting retinal objects such as the optic ... -
Utilizing digitized surveys for data collection: The case of developing countries
(Springer Science and Business Media Deutschland GmbH, 2021)A major concern for public and private organizations worldwide is to ensure that its constituents are healthy. However, the degree to which this is ensured differ from country to country and even from community/individual ... -
Utilizing transfer learning and a customized loss function for optic disc segmentation from retinal images
(Springer Science and Business Media Deutschland GmbH, 2021)Accurate segmentation of the optic disc from a retinal image is vital to extracting retinal features that may be highly correlated with retinal conditions such as glaucoma. In this paper, we propose a deep-learning based ... -
Uzaktan algılanan görüntülerde bina yoğunluğu kestirimi için derin öğrenme
(Institute of Electrical and Electronics Engineers Inc., 2019)Bu bildiri, derin öğrenme yöntemleri uygulayarak uzaktan algılamalı optik görüntülerde bina yoğunluğunun noktasal olarak kestirilmesi ile ilgilidir. Bu çalışma kapsamında, evrişimsel sinir ağına (ESA) dayalı derin öğrenme ... -
VisDrone-MOT2021: The vision meets drone multiple object tracking challenge results
(Institute of Electrical and Electronics Engineers Inc., 2021)Vision Meets Drone: Multiple Object Tracking (VisDrone-MOT2021) challenge - the forth annual activity organized by the VisDrone team - focuses on benchmarking UAV MOT algorithms in realistic challenging environments. It ...