[HTML][HTML] An investigation of crowdsourcing methods in enhancing the machine learning approach for detecting online recruitment fraud
K Nanath, L Olney - International Journal of Information Management Data …, 2023 - Elsevier
Misinformation on the web has become a problem of significant impact in an information-
driven society. Persistent and large volumes of fake content are being injected, and hence …
driven society. Persistent and large volumes of fake content are being injected, and hence …
Hyper-parameter tuned light gradient boosting machine using memetic firefly algorithm for hand gesture recognition
Hand gesture is considered as one of the natural ways to interact with computers. The utility
of hand gesture-based application is a recent trend and is an effective method for human …
of hand gesture-based application is a recent trend and is an effective method for human …
Dispelling the gorilla arm syndrome: the viability of prolonged gesture interactions
JT Hansberger, C Peng, SL Mathis… - Virtual, Augmented and …, 2017 - Springer
The use of gestures as a way to interact with computer systems has shown promise as a
natural way to interact and manipulate digital information. However, users performing mid …
natural way to interact and manipulate digital information. However, users performing mid …
Human attention assessment using a machine learning approach with gan-based data augmentation technique trained using a custom dataset
Human–robot interactions require the ability of the system to determine if the user is paying
attention. However, to train such systems, massive amounts of data are required. In this …
attention. However, to train such systems, massive amounts of data are required. In this …
TAAWUN: A decision fusion and feature specific road detection approach for connected autonomous vehicles
Road transportation is among the global grand challenges affecting human lives, health,
society, and economy, caused due to road accidents, traffic congestion, and other …
society, and economy, caused due to road accidents, traffic congestion, and other …
Study on HGR by Using Machine Learning
The medical field and other research areas fields heavily rely on artificial intelligence (AI)
and machine learning (ML). Hand gesture recognition (HGR), which is a straightforward …
and machine learning (ML). Hand gesture recognition (HGR), which is a straightforward …
A serious games framework for health rehabilitation
Serious Games is a field of research that has evolved substantially with valuable
contributions to many application domains and areas. Patients often consider traditional …
contributions to many application domains and areas. Patients often consider traditional …
A General Pipeline for Online Gesture Recognition in Human–Robot Interaction
Recent advances in robotics have allowed the introduction of robots assisting and working
together with human subjects. To promote their use and diffusion, intuitive and user-friendly …
together with human subjects. To promote their use and diffusion, intuitive and user-friendly …
Gesture recognition using kinect for sign language translation
HV Verma, E Aggarwal… - 2013 IEEE second …, 2013 - ieeexplore.ieee.org
Sign Language is a widely used method of communication among the community of deaf-
mute people. It contains some series of body gestures, which enables a person to interact …
mute people. It contains some series of body gestures, which enables a person to interact …
An efficient interpretation of hand gestures to control smart interactive television
DK Vishwakarma, R Kapoor - International Journal of …, 2017 - inderscienceonline.com
In the recent era of smart world, smarter technologies are gaining focus on human computer
interaction (HCI) systems, and traditional ways like remote control, mouse, keyboard, etc. are …
interaction (HCI) systems, and traditional ways like remote control, mouse, keyboard, etc. are …