Mcnn-lstm: Combining cnn and lstm to classify multi-class text in imbalanced news data
Searching, retrieving, and arranging text in ever-larger document collections necessitate
more efficient information processing algorithms. Document categorization is a crucial …
more efficient information processing algorithms. Document categorization is a crucial …
A Comprehensive Survey of Machine Learning Methods for Surveillance Videos Anomaly Detection
Video Surveillance Systems (VSSs) are used in a wide range of applications including
public safety and perimeter security. They are deployed in places such as markets …
public safety and perimeter security. They are deployed in places such as markets …
Multimodal Hate Speech Detection in Memes Using Contrastive Language-Image Pre-Training
In contemporary society, the proliferation of online hateful messages has emerged as a
pressing concern, inflicting deleterious consequences on both societal fabric and individual …
pressing concern, inflicting deleterious consequences on both societal fabric and individual …
Forecasting and Trading of the Stable Cryptocurrencies with Machine Learning and Deep Learning Algorithms for Market Analytics
The digital market trend is rapidly expanding due to key characteristics like decentralization,
accessibility, and market diversity enabled by blockchain technology. This study proposes a …
accessibility, and market diversity enabled by blockchain technology. This study proposes a …
Natural Products in Leukemia Research: A Bibliometric Review
Introduction This study evaluated the available literature concerning the diverse aspects of
natural product activity against leukemia. Methods Bibliometric data were obtained from the …
natural product activity against leukemia. Methods Bibliometric data were obtained from the …
Information technology job profile using average-linkage hierarchical clustering analysis
The growth in Information Technology (IT) jobs is predicted to reach 15 percent between
2021 and 2031. The growth of IT jobs has resulted in a remarkable change in all …
2021 and 2031. The growth of IT jobs has resulted in a remarkable change in all …
Forecasting Bitcoin Volatility through On-Chain and Whale-Alert Tweet Analysis using the Q-Learning Algorithm
As the adoption of cryptocurrencies, especially Bitcoin (BTC) continues to rise in today's
digital economy, understanding their unpredictable nature becomes increasingly critical …
digital economy, understanding their unpredictable nature becomes increasingly critical …
Research on scientific knowledge evolution patterns based on ego-centered fine-granularity citation network
J Yang, L Wu, L Lyu - Information Processing & Management, 2024 - Elsevier
A deep comprehension of the development of scientific knowledge is necessary to properly
appreciate technological advancement and the process of knowledge innovation. However …
appreciate technological advancement and the process of knowledge innovation. However …
Rational Coordination in Cognitive Agents: A Decision-Theoretic Approach Using ERMM
Over the years, research in multi-agent systems has become increasingly popular. Agents
evolve by interacting with their environment and must communicate with other agents in …
evolve by interacting with their environment and must communicate with other agents in …
Network Anomaly Detection Through IP Traffic Analysis With Variable Granularity
A network anomaly detection method is proposed for large-scale, wide-range Internet
Protocol (IP) networks. Because network behavior is projected onto communication traffic …
Protocol (IP) networks. Because network behavior is projected onto communication traffic …