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Parallel driving with big models and foundation intelligence in cyber–physical–social spaces
Recent years have witnessed numerous technical breakthroughs in connected and
autonomous vehicles (CAVs). On the one hand, these breakthroughs have significantly …
autonomous vehicles (CAVs). On the one hand, these breakthroughs have significantly …
A text classification method based on a convolutional and bidirectional long short-term memory model
Text classification refers to labelling text with specified labels, and it is widely used in public
opinion supervision, spam detection, and other fields. However, due to the complex …
opinion supervision, spam detection, and other fields. However, due to the complex …
Neuro or symbolic? Fine-tuned transformer with unsupervised LDA topic clustering for text sentiment analysis
For text sentiment analysis, state-of-the-art neural language models have demonstrated
promising performance. However, they lack interpretability, require vast volumes of …
promising performance. However, they lack interpretability, require vast volumes of …
Designing bioorthogonal reactions for biomedical applications
Bioorthogonal reactions are a class of chemical reactions that can be carried out in living
organisms without interfering with other reactions, possessing high yield, high selectivity …
organisms without interfering with other reactions, possessing high yield, high selectivity …
Masked Generative Light Field Prompting for Pixel-Level Structure Segmentations
Pixel-level structure segmentations have attracted considerable attention, playing a crucial
role in autonomous driving within the metaverse and enhancing comprehension in light field …
role in autonomous driving within the metaverse and enhancing comprehension in light field …
Prompted and integrated textual information enhancing aspect-based sentiment analysis
Abstract Aspect-based Sentiment Analysis (ABSA) aims to automatically predict the
sentiment polarity of the written text based on the analysis of specific aspects. By applying …
sentiment polarity of the written text based on the analysis of specific aspects. By applying …
Aspect based sentiment analysis with instruction tuning and external knowledge enhanced dependency graph
Abstract Aspect-Based Sentiment Analysis (ABSA) is generally defined as a fine-grained
task in Natural Language Processing (NLP). Recently, the integration of the Large …
task in Natural Language Processing (NLP). Recently, the integration of the Large …
Automation of the behavioral safety audit of a transport operator based on the recognition of his emotional state in Real time
In this paper, an approach to automating the conduct of behavioral audit of transport safety is
considered. Also, it is proposed to use cameras and electromyographic sensors directly …
considered. Also, it is proposed to use cameras and electromyographic sensors directly …
[PDF][PDF] Human sentiment analysis on social media through naïve bayes classifier
Deciphering feelings and thoughts from a succession of words is one of the most complex
and demanding undertakings. Recognizing sentiments and emotions is one of the most …
and demanding undertakings. Recognizing sentiments and emotions is one of the most …
[PDF][PDF] ViE-Take: A Vision-Driven Multi-Modal Dataset for Exploring the Emotional Landscape in Takeover Safety of Autonomous Driving
Takeover in autonomous driving (L2-L3 automation) refers to the process where a human
driver 33 assumes control of the vehicle upon encountering a situation that it cannot handle …
driver 33 assumes control of the vehicle upon encountering a situation that it cannot handle …