Ara
Toplam kayıt 24, listelenen: 1-10
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 ...
Integrated framework for criminal network extraction from Web
(SAGE Publications, 2021)
Extracting criminals' information and discovering their network are techniques that investigators often rely on to get extra information about criminal incidents and potential criminals. With the recent advances of the ...
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 ...
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 ...
SNF-CVAE: Computational method to predict drug-disease interactions using similarity network fusion and collective variational autoencoder
(Elsevier, 2021)
Drug repositioning is an emerging approach to identify novel therapeutic potentials for approved drugs and discover therapies for previously untreatable diseases. Drug repositioning has also attracted considerable attention ...
Early warning system: from face recognition by surveillance cameras to social media analysis to detecting suspicious people
(Elsevier B.V., 2020)
Surveillance security cameras are increasingly deployed in almost every location for monitoring purposes, including watching people and their actions for security purposes. For criminology, images collected from these ...
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 ...