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Toplam kayıt 37, 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 ...
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 ...
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 ...
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, ...
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 ...
Moderation of services’ EKC through transportation competitiveness: PQR model in global prospective
(MDPI, 2023)
The continuously increasing GHG emissions have created environmental pollution and several challenges to ecosystems and biodiversity. The challenges of climate change are multipronged, resulting in melting glaciers, flash ...
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 ...
Utilizing a responsive web portal for studying disc tracing agreement in retinal images
(Public Library of Science, 2021)
Glaucoma is a leading cause of blindness worldwide whose detection is based on multiple factors, including measuring the cup to disc ratio, retinal nerve fiber layer and visual field defects. Advances in image processing ...