903 Result(s)
within
Chapter
Conference Paper
**u-**u Zhang
Artificial Intelligence
Computer Communication Networks
Information Storage and Retrieval
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Chapter and Conference Paper
Research on Distributed Routing Technology for LEO Satellite Network
During the development of 6G networks, cellular networks that rely solely on ground infrastructure cannot meet network coverage in remote areas. On this basis, the concept of Low Earth Orbit (LEO) satellites p...
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Chapter and Conference Paper
Disease Recognition of Plants Leaves in Northern Shaanxi Based on Siamese Networks
Crop disease image recognition is crucial for early detection and prevention of diseases in agriculture. With the development of deep learning technology, accurate identification can be achieved with large dat...
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Chapter and Conference Paper
A Review of Image and Point Cloud Fusion in Autonomous Driving
In the task of autonomous driving perception scenarios, multi-sensor fusion is gradually becoming the current mainstream trend. At this stage, researchers use multimodal fusion to leverage information and ulti...
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Chapter and Conference Paper
Analysis of Weld Pool Characteristics in Narrow Gap GTAW Welding Based on Passive Vision
In the process of narrow gap pipeline welding, the welding quality can be controlled and judged by the characteristic information of the weld pool. The traditional active vision laser is limited by the geometr...
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Chapter and Conference Paper
Deep Learning in Strawberry Growth Monitoring Research: A Review
Intelligent equipment is increasingly employed in strawberry production to enhance fruit yield. To effectively monitor strawberry growth, the utilization of deep learning, specifically convolutional neural net...
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Chapter and Conference Paper
Multiple Color Feature and Contextual Attention Mechanism Based on YOLOX
Object detection aims to find out and classify objects in which people are interested. YOLOX is the one-stage object detector representative, with being famous for its quick speed. Nevertheless, recent studies...
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Chapter and Conference Paper
Improved War Strategy Optimization Algorithm Based on Hybrid Strategy
The Standard WSO algorithm has several shortcomings, including uneven distribution of initial population, slow convergence speed, and weak global search ability. To address these issues, the present study prop...
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Chapter and Conference Paper
Smoke Segmentation Method Based on Super Pixel Segmentation and Convolutional Neural Network
The steps of the fire disaster are from smokes to open flame. It has significant and practical meaning to use fixed camera stands to detect smoke. As the rapid development of AI in recent years the methods tha...
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Chapter and Conference Paper
A Lightweight Fault Diagnosis Model of Rolling Bearing Based on Gramian Angular Field and EfficientNet-B0
The deep learning model can fully extract the rich information in the signal and provide a better recognition effect as compared to traditional fault diagnosis approaches, which rely on manual analysis. Howeve...
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Chapter and Conference Paper
Artificial Intelligences on Automated Context-Brain Recognition with Mobile Detection Devices
In the past few decades, lots of studies were proposed on investigations of brain circuits for physical health, mental health, educational learning, controlling system and so on. However, very few studies conc...
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Chapter and Conference Paper
Information Gerrymandering in Elections
When making decisions, individuals often seek advice from their family, friends, and social network connections. In this way, individuals’ opinions are susceptible to influence from their connections’ viewpoin...
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Chapter and Conference Paper
Anti-Clone: A Lightweight Approach for RFID Cloning Attacks Detection
Millions of radio frequency identification (RFID) tags are pervasively used all around the globe to identify a wide variety of objects inexpensively. However, the tag cannot use energy-hungry cryptography due ...
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Chapter and Conference Paper
Research on Depth-Adaptive Dual-Arm Collaborative Gras** Method
Among the existing dual-arm cooperative gras** methods, the dual-arm cooperative gras** method based on RGB camera is the mainstream intelligent method. However, these methods often require predefined dept...
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Chapter and Conference Paper
ITAR: A Method for Indoor RFID Trajectory Automatic Recovery
With the increasing popularity of Radio Frequency Identification (RFID) technology, indoor applications based on RFID trajectory data analysis are becoming more and more extensive, such as personnel location, ...
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Chapter and Conference Paper
Semantic SLAM for Mobile Robot with Human-in-the-Loop
Mobile robots are an important participant in today’s modern life, and have huge commercial application prospects in the fields of unmanned security inspection, logistics, express delivery, cleaning and medica...
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Chapter and Conference Paper
Deep Reinforcement Learning for Multi-UAV Exploration Under Energy Constraints
Autonomous exploration is the essential task for various applications of unmanned aerial vehicles (UAVs), but there is currently a lack of available energy-constrained multi-UAV exploration methods. In this pa...
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Chapter and Conference Paper
A Longitudinal Measurement and Analysis of Pink, a Hybrid P2P IoT Botnet
With the ubiquitous deployment of Internet of Things (IoT) devices in many fields, more and more IoT botnets have taken a variety of penetration methods to infect vulnerable IoT devices. Nowadays, a substantia...
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Chapter and Conference Paper
Evading Encrypted Traffic Classifiers by Transferable Adversarial Traffic
Machine learning algorithms have been widely leveraged in traffic classification tasks to overcome the challenges brought by the enormous encrypted traffic. On the contrary, ML-based classifiers introduce adve...
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Chapter and Conference Paper
An Adaptive Ensembled Neural Network-Based Approach to IoT Device Identification
The Internet of Things (IoT) has developed rapidly in recent years and has been widely used in our daily life. An online report claimed that the connected IoT devices will reach the scale of 14.4 billion globa...
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Chapter and Conference Paper
Optimization of Large-Scale Knowledge Forward Reasoning Based on OWL 2 DL Ontology
This paper focuses on the performance of optimized forward reason systems. The main characteristics of forward reasoning are that it is sensitive to the update of data, has a high cost of precomputation closur...
