Comparative analysis on cross-modal information retrieval: A review
Human beings experience life through a spectrum of modes such as vision, taste, hearing,
smell, and touch. These multiple modes are integrated for information processing in our …
smell, and touch. These multiple modes are integrated for information processing in our …
Early fire detection using convolutional neural networks during surveillance for effective disaster management
Fire disasters are man-made disasters, which cause ecological, social, and economic
damage. To minimize these losses, early detection of fire and an autonomous response are …
damage. To minimize these losses, early detection of fire and an autonomous response are …
A new hybrid ensemble deep reinforcement learning model for wind speed short term forecasting
Wind speed forecasting is a promising solution to improve the efficiency of energy utilization.
In this study, a novel hybrid wind speed forecasting model is proposed. The whole modeling …
In this study, a novel hybrid wind speed forecasting model is proposed. The whole modeling …
An image-text consistency driven multimodal sentiment analysis approach for social media
Social media users are increasingly using both images and text to express their opinions
and share their experiences, instead of only using text in the conventional social media …
and share their experiences, instead of only using text in the conventional social media …
Feature extraction by using deep learning: A survey
S Dara, P Tumma - 2018 Second international conference on …, 2018 - ieeexplore.ieee.org
Deep learning is presently an effective research area in machine learning technique and
pattern classification association. This has achieved big success in the areas of application …
pattern classification association. This has achieved big success in the areas of application …
Convolutional neural network based early fire detection
The detection of manmade disasters particularly fire is valuable because it causes many
damages in terms of human lives. Research on fire detection using wireless sensor network …
damages in terms of human lives. Research on fire detection using wireless sensor network …
Deep learning–now and next in text mining and natural language processing
NI Widiastuti - IOP Conference Series: Materials Science and …, 2018 - iopscience.iop.org
This study was conducted to find out what has not been discussed in last research in domain
text mining and NLP using Deep Learning. In this literature review has covered more than …
text mining and NLP using Deep Learning. In this literature review has covered more than …
ESFNet: Efficient network for building extraction from high-resolution aerial images
Building footprint extraction from high-resolution aerial images is always an essential part of
urban dynamic monitoring, planning, and management. It has also been a challenging task …
urban dynamic monitoring, planning, and management. It has also been a challenging task …
EECN: Analysis, Potency, Benefit for Students Knowledge and Attitude to Conserve Mangroves and Coral Reefs.
The purpose of this study was to measure student knowledge and attitudes in conservation
of mangroves and coral reefs, introducing and applying Environmental Education …
of mangroves and coral reefs, introducing and applying Environmental Education …
Construction of intelligent traffic information recommendation system based on long short-term memory
F Kong, J Li, Z Lv - Journal of computational science, 2018 - Elsevier
Traffic information service can improve road utilization and reduce traffic congestion and
accidents. In this paper, we design the intelligent traffic information recommendation system …
accidents. In this paper, we design the intelligent traffic information recommendation system …