- Discourse Analysis in Language Studies
- Multilingual Education and Policy
- Narrative Theory and Analysis
- Geographic Information Systems Studies
- Radar Systems and Signal Processing
- Robot Manipulation and Learning
- Autonomous Vehicle Technology and Safety
- Muscle activation and electromyography studies
- Advanced Text Analysis Techniques
- Sentiment Analysis and Opinion Mining
- Second Language Learning and Teaching
- EFL/ESL Teaching and Learning
- Advanced SAR Imaging Techniques
- Wireless Signal Modulation Classification
- Linguistics and Cultural Studies
- Human Mobility and Location-Based Analysis
- Reading and Literacy Development
- Hand Gesture Recognition Systems
- Advanced Computing and Algorithms
- Educational Technology and Assessment
- Language, Metaphor, and Cognition
- Data-Driven Disease Surveillance
- Comics and Graphic Narratives
- Advanced Neural Network Applications
- Humor Studies and Applications
Songshan Lake Materials Laboratory
2023
Xi'an International Studies University
2022
Beijing Information Science & Technology University
2021
University of Information Science
2021
Multimodal sentiment analysis aims to understand people’s attitudes and opinions from different data forms. Traditional modality fusion methods for multimodal con-catenate or multiply various modalities without fully utilizing context information the correlation between modalities. To solve this problem, article provides a new model based on framework recurrent neural network with complex attention mechanism. First, after raw is preprocessed, numerical feature representation obtained using...
In complex battlefield environments, flying ad-hoc network (FANET) faces challenges in manually extracting communication interference signal features, a low recognition rate strong noise and an inability to recognize unknown types. To solve these problems, one simple non-local correction shrinkage (SNCS) module is constructed. The SNCS modifies the soft threshold function traditional denoising method embeds it into neural network, so that can be adjusted adaptively. Local importance-based...
Lane detection, a crucial component of autonomous driving systems, is in charge precise lane location to ensure that cars navigate lanes appropriately. However, challenging conditions like shadows and extreme lighting, may become obstructed or blurred, posing significant challenge the lane-detection task as model struggles extract sufficient visual information from image. The current anchor-based network detects complex scenes by mapping anchors images features calculating relationship...
In this paper, we present a novel approach that subtly combines the transformer with grasping CNN to achieve more optimal grasps in complex real-life situations. The comprises two unique designs effectively improve grasp precision scenes. first essential design uses self-attention mechanisms capture contextual information from RGB images, boosting contrast between key object features and their surroundings. We precisely adjust internal parameters balance accuracy computing costs. second...
Abstract J. R. Martin is a leading scholar who has greatly developed the theoretical framework of systemic functional linguistics (SFL) over past four decades. Some these contributions, such as systems discourse semantics, appraisal and genre relations have been widely applied in various areas linguistic studies language education. The educational model he his colleagues cultivated attracted attention more educators from different disciplines around globe. In this interview, firstly...
Location information on Twitter plays a critical role in emergency detection, event recommendation, and disaster warning. However, only limited amount of data are geotagged. Previous research has presented various models for inferring location based text, social relations, contextual data, yielding highly promising results. Nonetheless, these existing methods have certain limitations that need to be addressed. Firstly, most the overlook local celebrities (well-known users community) as...
Story Theme has been one of the major concepts in both literary criticism study and stylistic study.The essential characteristics story theme might be summarized as being subjective inter-subjective, social generalized, pervasive throughout whole text but covered, conventional recoverable, multi-faceted.This paper mainly discusses two approaches to study.Literary approach focuses on covert side multi-levelness theme; while functional stylistics attaches much importance mechanisms that...
Flanders Interactive Analysis System (FIAS) is a kind of classroom behaviour analysis system, which composed coding recording method observation, interactive matrix and analysis. This paper selects the comprehensive demonstration class elementary Chinese taught by Hongdan Shen Beijing Language Culture University as object observation analysis, uses FIAS to analyse language interaction between teachers students in classroom.
As appliable linguistics, systemic functional linguistics (SFL) has been widely applied in various areas of education – studies classroom discourse, teacher training, curriculum development, etc. Zhihui Fang is a leading scholar who the development pedagogical models for secondary literacy education. In this interview, Yanmei Gao, Chengzhu Yin and Hanbing Li ask about applicability education, especially United States. They also discuss possible influence new developments Sydney School, such...