A review on natural disaster detection in social media and satellite imagery using machine learning and deep learning
A disaster is a devastating incident that causes a serious disruption of the functions of a
community. It leads to loss of human life and environmental and financial losses. Natural …
community. It leads to loss of human life and environmental and financial losses. Natural …
[HTML][HTML] Hand gesture recognition with symmetric pattern under diverse illuminated conditions using artificial neural network
This paper investigated the effects of variant lighting conditions on the recognition process.
A framework is proposed to improve the performance of gesture recognition under variant …
A framework is proposed to improve the performance of gesture recognition under variant …
An Efficient and Robust Hand Gesture Recognition System of Sign Language Employing Finetuned Inception-V3 and Efficientnet-B0 Network.
Abstract Hand Gesture Recognition (HGR) is a promising research area with an extensive
range of applications, such as surgery, video game techniques, and sign language …
range of applications, such as surgery, video game techniques, and sign language …
[HTML][HTML] Automated sleep stage classification in sleep apnoea using convolutional neural networks
GN Sundar, D Narmadha, AAA Jone… - Informatics in Medicine …, 2021 - Elsevier
A sleep disorder is a condition that adversely impacts one's ability to sleep well on a regular
schedule. It also occurs as a consequence of numerous neurological sicknesses. These …
schedule. It also occurs as a consequence of numerous neurological sicknesses. These …
Artificial Intelligence Based Sign Language Prediction by Using the Twin Delayed Deep Reinforcement Memory Network architecture
Communication between the hearing-and speech-impaired and the rest of society may be
greatly aided by developments in Sign language recognition (SLR). One of the most …
greatly aided by developments in Sign language recognition (SLR). One of the most …
MyoTac: Real‐Time Recognition of Tactical Sign Language Based on Lightweight Deep Neural Network
H Li, Y Zhang, Q Cao - Wireless Communications and Mobile …, 2022 - Wiley Online Library
Real‐time tactical sign language recognition enables communication in a silent environment
and outside the visual range, and human‐computer interaction (HCI) can also be realized …
and outside the visual range, and human‐computer interaction (HCI) can also be realized …
A two-phase projective dictionary pair learning-based classification scheme for positive and unlabeled learning
Y Wang, Y Peng, S Liu, B Ge, J Li - Pattern Analysis and Applications, 2023 - Springer
With the recent surge of interest in machine learning, Positive and Unlabeled learning (PU
learning) has also attracted much attention of scholars. A key bottleneck for addressing PU …
learning) has also attracted much attention of scholars. A key bottleneck for addressing PU …
[HTML][HTML] Açıklanabilir Evrişimsel Sinir Ağları ile Beyin Tümörü Tespiti
Derin öğrenme teknikleri özellikle 2000'li yılların başından bu yana yapay zeka alanının en
önemli temsilcileri olarak bilinmektedir. Bu teknikler birçok farklı alanda yaygın bir biçimde …
önemli temsilcileri olarak bilinmektedir. Bu teknikler birçok farklı alanda yaygın bir biçimde …
[HTML][HTML] Sign language gesture recognition with convolutional-type features on ensemble classifiers and hybrid artificial neural network
A Jana, SS Krishnakumar - Applied Sciences, 2022 - mdpi.com
The proposed research deals with constructing a sign gesture recognition system to enable
improved interaction between sign and non-sign users. With respect to this goal, five types of …
improved interaction between sign and non-sign users. With respect to this goal, five types of …
Agricultural machinery virtual assembly system using dynamic gesture recognitive interaction based on a CNN and LSTM network
P Zhang, J Lin, J He, X Rong, C Li… - … Problems in Engineering, 2021 - Wiley Online Library
The agricultural machinery experiment is restricted by the crop production season. Missing
the crop growth cycle will extend the machine development period. The use of virtual reality …
the crop growth cycle will extend the machine development period. The use of virtual reality …