27 Result(s)
within
Chapter
Bao** Huang
Computer Science
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Chapter and Conference Paper
Task Offloading and Resource Allocation for Edge-Cloud Collaborative Computing
Current research mainly focuses on two-tier cloud networks with edge clouds and users. The computational power relocation and resource allocation problem is relatively under-researched in three-tier networks c...
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Chapter and Conference Paper
YOLO-D: Dual-Branch Infrared Distant Target Detection Based on Multi-level Weighted Feature Fusion
Infrared distant target detection is crucial in border patrol, traffic management, and maritime search and rescue operations due to its adaptability to environmental factors. However, in order to implement inf...
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Chapter and Conference Paper
PM \(_{2.5}\) Concentration Measurement Based on Natural Scene Statistics and Progressive Learning
To ensure the well-being of residents and ecological balance, it is essential to conduct continuous and precise PM \(_{2.5}\) ...
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Chapter and Conference Paper
Detecting the Sensing Area of a Laparoscopic Probe in Minimally Invasive Cancer Surgery
In surgical oncology, it is challenging for surgeons to identify lymph nodes and completely resect cancer even with pre-operative imaging systems like PET and CT, because of the lack of reliable intraoperative...
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Chapter and Conference Paper
A Spatio-Temporal Identity Verification Method for Person-Action Instance Search in Movies
As one of the challenging problems in video search, Person-Action Instance Search (P-A INS) aims to retrieve shots with a specific person carrying out a specific action from massive amounts of video shots. Mos...
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Chapter and Conference Paper
P-TECS: An Energy Balance Algorithm for Opportunistic Networks Integrating Multiple Node Attributes
This paper proposes an energy balance opportunistic networks routing algorithm P-TECS. The P-TECS solves the problems of energy consumption of key nodes in existing opportunistic routing algorithms. This paper...
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Chapter and Conference Paper
When CNN Meet with ViT: Towards Semi-supervised Learning for Multi-class Medical Image Semantic Segmentation
Due to the lack of quality annotation in medical imaging community, semi-supervised learning methods are highly valued in image semantic segmentation tasks. In this paper, an advanced consistency-aware pseudo-...
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Chapter and Conference Paper
Self-supervised Depth Estimation in Laparoscopic Image Using 3D Geometric Consistency
Depth estimation is a crucial step for image-guided intervention in robotic surgery and laparoscopic imaging system. Since per-pixel depth ground truth is difficult to acquire for laparoscopic image data, it i...
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Chapter and Conference Paper
Spatio-Temporal Topology Routing Algorithm for Opportunistic Network Based on Self-attention Mechanism
In opportunistic networks, it is difficult to find the best relay node, which not only makes the message transmission inefficient but also wastes resources in the network. Most of the existing routing algorith...
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Chapter and Conference Paper
Recursive Deformable Image Registration Network with Mutual Attention
Deformable image registration, estimating the spatial transformation between different images, is an important task in medical imaging. Many previous studies have used learning-based methods for multi-stage re...
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Chapter and Conference Paper
Attention-Based Cross-Domain Gesture Recognition Using WiFi Channel State Information
Gesture recognition is an important step to realize ubiquitous WiFi-based human-computer interaction. However, most current WiFi-based gesture recognition systems rely on domain-specific training. To address t...
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Chapter and Conference Paper
Self-supervised Generative Adversarial Network for Depth Estimation in Laparoscopic Images
Dense depth estimation and 3D reconstruction of a surgical scene are crucial steps in computer assisted surgery. Recent work has shown that depth estimation from a stereo image pair could be solved with convol...
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Chapter and Conference Paper
A DNN-based WiFi-RSSI Indoor Localization Method in IoT
Indoor automatic localization technology is very important for the Internet of Things. With the development of wireless technology and the diversification of location service requirements, especially in comple...
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Chapter and Conference Paper
Wide and Recurrent Neural Networks for Detection of False Data Injection in Smart Grids
A smart grid is a complex system using power transmission and distribution networks to connect electric power generators to consumers across a large geographical area. Due to their heavy dependencies on inform...
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Chapter and Conference Paper
Solving the Signal Relay Problem of UAV in Disaster Relief via Group Role Assignment
When an earthquake occurs, disaster relief is an urgent, complex and critical mission. Decision makers must possess critical role awareness to prioritize the numerous interrelated tasks arising from such an ev...
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Chapter and Conference Paper
An Energy-Efficient DV-Hop Localization Algorithm
Sensor location plays an important role in wireless sensor networks (WSNs), so that develo** sensor localization algorithms has gained much attention from both academia and industries. Among existing solutio...
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Chapter and Conference Paper
Optimizing WiFi AP Placement for Both Localization and Coverage
Nowadays, WiFi infrastructures and WiFi-enabled mobile devices have been ubiquitous in our daily lives, and are promising to provide both network services and indoor positioning and navigation services due to ...
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Chapter and Conference Paper
A Secure AODV Protocol Improvement Scheme Based on Fuzzy Neural Network
Aiming at the possible attacks of malicious nodes in VANET (Vehicle ad hoc network). It is very important to select security nodes in the routing protocols for routing activities. A secure AODV (Ad hoc On-dema...
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Chapter and Conference Paper
Quantitatively Investigating Multihop Localization Errors in Regular 2-D Sensor Networks
In practice, a wireless sensor network normally includes a small portion of nodes with known locations, termed anchors, and the other nodes with unknown locations, termed sensors, have to be localized through ...
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Chapter and Conference Paper
Walking Detection Using the Gyroscope of an Unconstrained Smartphone
In recent years, mobile devices (e.g., smartphones, tablets and etc.) equipped with various inertial sensors have been increasingly popular in daily life, and a large number of mobile applications have been de...
