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Toplam kayıt 25, listelenen: 1-10
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 ...
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 ...
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 ...
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 ...
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 ...
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, ...
Analysis and prediction in sparse and high dimensional text data: The case of Dow Jones stock market
(Elsevier B.V., 2020)
In this research, we proposed a text analysis system to predict stock market movements using news and social media data. It is a scalable prediction system for sparse and high dimensional feature sets. Using the developed ...
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 ...