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Few-shot learning for facial expression recognition: a comprehensive survey
Facial expression recognition (FER) is utilized in various fields that analyze facial
expressions. FER is attracting increasing attention for its role in improving the convenience …
expressions. FER is attracting increasing attention for its role in improving the convenience …
Fake detect: A deep learning ensemble model for fake news detection
Pervasive usage and the development of social media networks have provided the platform
for the fake news to spread fast among people. Fake news often misleads people and …
for the fake news to spread fast among people. Fake news often misleads people and …
[HTML][HTML] A systematic literature review and meta-analysis of studies on online fake news detection
The ubiquitous access and exponential growth of information available on social media
networks have facilitated the spread of fake news, complicating the task of distinguishing …
networks have facilitated the spread of fake news, complicating the task of distinguishing …
Improving flight delays prediction by develo** attention-based bidirectional LSTM network
Recently, the significance of accurate aircraft delay forecasting has grown in the aviation
sector, which caused multi-billion-dollar losses faced by airlines and airports and passenger …
sector, which caused multi-billion-dollar losses faced by airlines and airports and passenger …
Farm monitoring and disease prediction by classification based on deep learning architectures in sustainable agriculture
Agriculture is necessary for all human activities to survive. Overpopulation and resource
competitiveness are major challenges that threaten the planet's food security. Smart farming …
competitiveness are major challenges that threaten the planet's food security. Smart farming …
[HTML][HTML] Drone-based apple detection: Finding the depth of apples using YOLOv7 architecture with multi-head attention mechanism
The agriculture drones are flocking and hovering over the crop fields to collect data or
perform tasks related to crop management. The rise of artificial intelligence and machine …
perform tasks related to crop management. The rise of artificial intelligence and machine …
Spam review detection using self attention based CNN and bi-directional LSTM
Opinion reviews are a valuable source of information in e-commerce. Indeed, it benefits
users in buying decisions and businesses to enhance their quality. However, various greedy …
users in buying decisions and businesses to enhance their quality. However, various greedy …
An attention-based CNN-LSTM model for subjectivity detection in opinion-mining
Opinion-mining generally refers to analyzing opinions on various topics available in the form
of text. It is an essential operation of natural language processing since it enables efficient …
of text. It is an essential operation of natural language processing since it enables efficient …
Infodemia, fake news and medicine: science and the quest for truth
Keywords more largely than the truth. 10 As robots accelerate the spread of true and false
news at the same rate, implying that false news spreads more than the truth because …
news at the same rate, implying that false news spreads more than the truth because …
Adaptive Salp swarm optimization algorithms with inertia weights for novel fake news detection model in online social media
Recently, social media are the most popular way of consuming news for people due to their
fast, low cost, and easy accessibility. Unfortunately, in order to provide financial, political, or …
fast, low cost, and easy accessibility. Unfortunately, in order to provide financial, political, or …