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Toplam kayıt 19, 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 ...
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 ...
Fuzzy classification methods based diagnosis of Parkinson’s disease from speech test cases
(Bentham Science Publishers, 2019)
Background: Together with the Alzheimer’s disease, Parkinson’s disease is considered as one of the two serious known neurodegenerative diseases. Physicians find it hard to predict whether a given patient has already developed ...
Human action recognition approaches with video datasets-A survey
(Elsevier B.V., 2021)
Human Activity Recognition has recently attracted considerable attention. This has been triggered by the rapid development of advance technologies and learning methods. Human action recognition can be actively used in a ...
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 ...
CACTUS: cancer image annotating, calibrating, testing, understanding and sharing in breast cancer histopathology
(NLM (Medline), 2020)
OBJECTIVE: Develop CACTUS (cancer image annotating, calibrating, testing, understanding and sharing) as a novel web application for image archiving, annotation, grading, distribution, networking and evaluation. This helps ...