116 Result(s)
within
English
Artificial Intelligence
Computer Appl. in Social and Behavioral Sciences
**-**a Ding
Chapter
-
Chapter and Conference Paper
Research About Strategy-Tactic-Method Framework of Catering Brand Construction Based on Service Design Thinking
In the context of fierce competition and service design thinking, this paper discusses the strategy and framework of catering brand construction. Through the analysis and integration of marketing, management a...
-
Chapter and Conference Paper
Implementing Large-Scale ABox Materialization Using Subgraph Reasoning
The ontology knowledge base can be divided into two parts: TBox and ABox, where the former models schema-level knowledge within the domain, and the latter is a statement of assertions or facts about a set of i...
-
Chapter and Conference Paper
A Pilot Study on the Correlation Between Product Color and Olfactory Experience
The fragrance market is gradually igniting in the market due to the epidemic, the global economic depression and the changing consumer habits. Consumers were unable to go out shop** due to the epidemic and m...
-
Chapter and Conference Paper
Study on the Deep Learning Product Classification Based on the Motivation of Consumers
New Product Development (NPD) is actually a complex area involving strategy, management, research and development, production, marketing and decision-making, technology and the market need to be closely integr...
-
Chapter and Conference Paper
NRTIRL Based NN-RRT* Path Planner in Human-Robot Interaction Environment
In human-robot interaction environment, it is of great significance for mobile robots to have the awareness of social rules, to realize the socialization and anthropomorphism of robot navigation behavior, and ...
-
Chapter and Conference Paper
Expandable-Convolutional-Block Neural Inference with Spatial-Fused Multi-resolution Features and Terse Convolution for IoT-Based Intelligent Automated Systems
We proposed two model compression methods by adjusting the structure of the deep network model, aiming to provide a small-sized model and realize the application requirement of edge computing. Edge Device has ...
-
Chapter and Conference Paper
Research on the Application of Virtual Reality Technology in Environmental Art Design
Virtual reality technology is a comprehensive display technology developed on the basis of visual simulation technology and multimedia technology. Through equipment simulation, a three-dimensional virtual worl...
-
Chapter and Conference Paper
Comparative Study on the Growth Power of Cultural and Creative Products in Museums
By analyzing the development status of cultural and creative products of museums in China, this paper puts forward a set of theoretical framework that accords with national conditions and conforms to the growt...
-
Chapter and Conference Paper
Consumer Intention to Accept AI-Based Products and Services
This study aimed to examine the consumers’ intention to accept artificial intelligence (AI) based products/services. Considering that AI-based products/services can be perceived as a radical technological revo...
-
Chapter and Conference Paper
OTE: An Optimized Chinese Short Text Matching Algorithm Based on External Knowledge
Short text matching is a key problem in natural language processing (NLP), which can be applied in journalism, military, and other fields. In this paper, we propose an optimized Chinese short text matching alg...
-
Chapter and Conference Paper
Learning and Fusing Multiple User Interest Representations for Sequential Recommendation
Deep learning is known to be effective at automating the generation of representations, which has achieved great success by learning efficient representations from data, especially for user and item representa...
-
Chapter and Conference Paper
Diverse Learner: Exploring Diverse Supervision for Semi-supervised Object Detection
Current state-of-the-art semi-supervised object detection methods (SSOD) typically adopt the teacher-student framework featured with pseudo labeling and Exponential Moving Average (EMA). Although the performan...
-
Chapter and Conference Paper
Attacking Frequency Information with Enhanced Adversarial Networks to Generate Adversarial Samples
In recent years, convolutional neural networks (CNNs) are widely used in various computer vision tasks with advanced performance. However, adversarial samples which add small-magnitude perturbation to images o...
-
Chapter and Conference Paper
Hole-Peg Assembly Strategy Based on Deep Reinforcement Learning
Hole-peg assembly using robot is widely used to validate the abilities of autonomous assembly task. Currently, the autonomous assembly is mainly depended on the high precision of position, force measurement an...
-
Chapter and Conference Paper
Robust Learning for Text Classification with Multi-source Noise Simulation and Hard Example Mining
Many real-world applications involve the use of Optical Character Recognition (OCR) engines to transform handwritten images into transcripts on which downstream Natural Language Processing (NLP) models are app...
-
Chapter and Conference Paper
A Transformer-Based Model for Low-Resource Event Detection
Event detection is an important task in natural language processing, which identifies event trigger words in a given sentence. Previous work use traditional RNN/CNN based text encoders, failing to remember lon...
-
Chapter and Conference Paper
Multi-task Learning Based Online Dialogic Instruction Detection with Pre-trained Language Models
In this work, we study computational approaches to detect online dialogic instructions, which are widely used to help students understand learning materials, and build effective study habits. This task is rath...
-
Chapter and Conference Paper
A Review of Research on Brain-Computer Interface Based on Imagined Speech
Brain-computer interface is currently a rapidly develo** technology. In recent years, it has received extensive attention and high expectations in the fields of biomedical engineering and rehabilitation medi...
-
Chapter and Conference Paper
SAGCN: Towards Structure-Aware Deep Graph Convolutional Networks on Node Classification
Graph Convolutional Networks (GCNs) have recently achiev-ed impressive performance in different classification tasks. However, over-smoothing remains a fundamental burden to achieve deep GCNs for node classifi...
-
Chapter and Conference Paper
A Survey of Multimodal Human-Machine Interface
Human-machine interface (HMI) has become an indispensable part of human life. The signal generated by human body is a kind of Physiological signal. There are many devices can recognize this signal, which has g...
