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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 ... -
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 ... -
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 ... -
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 ... -
Hot topic detection and evaluation of multi-relation effects
(Association for Computing Machinery, Inc, 2021)With the growth of social media, Twitter has become one of the most popularly used microblogging communication platforms between people. Due to the wide preference of Twitter, popular issues in public, events like local ... -
Automation of active reconnaissance phase: An automated API-based port and vulnerability scanner
(Association for Computing Machinery, Inc, 2021)The unprecedented growth in technology has increased the importance of the required information security that is still hard to be reached. Recently, network and web application attacks have occurred frequently, causing ... -
H-OCS: A hybrid optic cup segmentation of retinal images
(Springer Science and Business Media Deutschland GmbH, 2021)Glaucoma is the second leading cause of irreversible vision loss. Early diagnosis and treatment can, however, slow the progression of the disease. Specialists making this diagnosis rely on several tests and examinations ... -
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 ... -
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 ... -
Matching applicants with positions for better allocation of employees in the job market
(IEEE (Institute of Electrical and Electronics Engineers), 2021)Nowadays most people who are looking for a job use the Internet, visiting websites like Linkedin or Indeed so they must face hundreds of recruitment companies and job ads. The process of applying for a job is time consuming ... -
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, ... -
A multi-modal emotion recognition system based on CNN-transformer deep learning technique
(Institute of Electrical and Electronics Engineers Inc., 2022)Emotion analysis is a subject that researchers from various fields have been working on for a long time. Different emotion detection methods have been developed for text, audio, photography, and video domains. Automated ... -
Infrared-to-optical image translation for keypoint-based image registration
(Institute of Electrical and Electronics Engineers Inc., 2022)Multi-modal image registration is a critical step in many remote sensing and visual navigation applications. While image registration techniques developed for single modality images do not perform well for multi-modal ... -
Brain tumor classification using MRI images and convolutional neural networks
(Institute of Electrical and Electronics Engineers Inc., 2022)The brain tumor has become one of the most prominent types of cancers affecting a huge population across the globe every year. It has the lowest life expectancy rate and the risk of death is highly associated with the type, ... -
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 ... -
Hybrid CPU-GPU acceleration of a multithreaded image stitching algorithm
(Institute of Electrical and Electronics Engineers Inc., 2022)Real-time image stitching is critical, especially in un-manned aerial vehicles, and its acceleration has received attention in recent years. This paper describes an image stitching acceleration scheme for heterogeneous ... -
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 ... -
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 ... -
Automated analysis of the EEG signals for prediction of possible effectiveness of rTMS treatment in alzheimer's patient
(Institute of Electrical and Electronics Engineers Inc., 2022)Alzheimer's disease (AD) is a progressive, chronic neurodegenerative brain disease that generally infects the elderly. The analysis of electroencephalography (EEG) signals has been commonly used for diagnosis. Repetitive ...