Facial sentiment analysis using AI techniques: state-of-the-art, taxonomies, and challenges
With the advancements in machine and deep learning algorithms, the envision of various
critical real-life applications in computer vision becomes possible. One of the applications is …
critical real-life applications in computer vision becomes possible. One of the applications is …
Machine learning models and techniques for VANET based traffic management: Implementation issues and challenges
S Khatri, H Vachhani, S Shah, J Bhatia… - Peer-to-Peer Networking …, 2021 - Springer
Low latency in communication among the vehicles and RSUs, smooth traffic flow, and road
safety are the major concerns of the Intelligent Transportation Systems. Vehicular Ad hoc …
safety are the major concerns of the Intelligent Transportation Systems. Vehicular Ad hoc …
Stochastic neural networks for cryptocurrency price prediction
Over the past few years, with the advent of blockchain technology, there has been a massive
increase in the usage of Cryptocurrencies. However, Cryptocurrencies are not seen as an …
increase in the usage of Cryptocurrencies. However, Cryptocurrencies are not seen as an …
Forecasting cryptocurrency's buy signal with a bagged tree learning approach to enhance purchase decisions
Introduction The cryptocurrency market is captivating the attention of both retail and
institutional investors. While this highly volatile market offers investors substantial profit …
institutional investors. While this highly volatile market offers investors substantial profit …
[HTML][HTML] A machine learning approach to industry classification in financial markets
Industry classification schemes provide a taxonomy for segmenting companies based on
their business activities. They are relied upon in industry and academia as an integral …
their business activities. They are relied upon in industry and academia as an integral …
[HTML][HTML] Stochastic neural networks-based algorithmic trading for the cryptocurrency market
Throughout the history of modern finance, very few financial instruments have been as
strikingly volatile as cryptocurrencies. The long-term prospects of cryptocurrencies remain …
strikingly volatile as cryptocurrencies. The long-term prospects of cryptocurrencies remain …
Predicting daily precision improvement of Jakarta Islamic Index in Indonesia's Islamic stock market using big data mining
MA Ledhem, W Moussaoui - Journal of Modelling in Management, 2023 - emerald.com
Predicting daily precision improvement of Jakarta Islamic Index in Indonesia’s Islamic stock
market using big data mining | Emerald Insight Books and journals Case studies Expert Briefings …
market using big data mining | Emerald Insight Books and journals Case studies Expert Briefings …
Split-Second Cryptocurrency Forecast Using Prognostic Deep Learning Algorithms: Data Curation by Deephaven
Cryptocurrency is a popular digital currency due to its security and peer-to-peer
transferability. Predicting cryptocurrency prices is crucial for investors and traders to make …
transferability. Predicting cryptocurrency prices is crucial for investors and traders to make …
A Multimodal Embedding-Based Approach to Industry Classification in Financial Markets
Industry classification schemes provide a taxonomy for segmenting companies based on
their business activities. They are relied upon in industry and academia as an integral …
their business activities. They are relied upon in industry and academia as an integral …
An improved dictionary based genre classification based on title and abstract of e-book using machine learning algorithms
V Thakur, AC Patel - Proceedings of Second International Conference on …, 2021 - Springer
The amount of digital books or e-books is increasing day by day. Book Assortment is the job
of assigning a category or set of appropriate genres to a book. The goal of this research …
of assigning a category or set of appropriate genres to a book. The goal of this research …