68 Result(s)
within
Chapter
**Cheng Shen
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Chapter and Conference Paper
Efficient Graph Encoder Embedding for Large Sparse Graphs in Python
Graph is a ubiquitous representation of data in various research fields, and graph embedding is a prevalent machine learning technique for capturing key features and generating fixed-sized attributes. However,...
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Chapter and Conference Paper
Profiting from High Frequency Market Psychology Data with Deep Learning
It is challenging to predict financial markets, but there have been continued efforts to develop improved prediction methods
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Chapter and Conference Paper
The Design of AI-Enabled Experience-Based Knowledge Management System to Facilitate Knowing and Doing in Communities of Practice
This research aims to propose an experience-based knowledge management (EBKMS) to facilitate knowledge activities in a community of practice (CoP). Based on the capabilities offered by conversational AI and a ...
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Chapter and Conference Paper
An Adaptability-Based Terrain Costmap for Heterogeneous Vehicle Swarm Path Planning
In this paper, an adaptability-based terrain costmap is proposed, aiming at planning paths for heterogeneous vehicles with different adaptability to terrains. In order to break through the restrictions from bi...
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Chapter and Conference Paper
Predefined-Time Motion Coordination of Mobile Robots Based on Guiding Vector Fields
This paper adopts a time-based generator to design the guiding vector fields, such that its integral curves converge to the desired path within a predefined time. A virtual coordinated parameter and a time-var...
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Chapter and Conference Paper
Online Matching with Stochastic Rewards: Advanced Analyses Using Configuration Linear Programs
Mehta and Panigrahi (2012) proposed Online Matching with Stochastic Rewards, which generalizes the Online Bipartite Matching problem of Karp, Vazirani, and Vazirani (1990) by associating the edges with success...
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Chapter
Imaging Through Scattering Media Using Wavefront Sha**
Optical scattering has been a major obstacle that prevents optical imaging from seeing deeper. In this chapter, we briefly introduce the development and the current achievement of a technique, namely, wavefron...
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Chapter and Conference Paper
Materials Science Ontology Design with an Analytico-Synthetic Facet Analysis Framework
Researchers across nearly every discipline seek to leverage ontologies for knowledge discovery and computational tasks; yet, the number of machine readable materials science ontologies is limited. The work pre...
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Chapter and Conference Paper
Improved U-Net Based on Dual Attention Mechanism for Glottis Segmentation and Dysphagia Auxiliary Diagnosis
In today’s aging society, the proportion of elderly population is increasing year by year, and providing comprehensive care for the elderly has become an important issue. Among many aging diseases, dysphagia i...
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Chapter and Conference Paper
SINR Communication Based Fast Predictive Control for CPSs Under DoS Attacks
In this paper, an effective security control algorithm is proposed for a class of dual-rate cyber physical systems (CPSs) with denial-of-service (DoS) attacks. To solve the issues of control performance degrad...
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Chapter and Conference Paper
Financial Technology Risk Management and Control in the Big Data Era
With the advent of the era of big data, new technologies such as cloud computing and artificial intelligence are changing with each passing day. More and more science and technology are applied to the financia...
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Chapter and Conference Paper
MDN: Meta-transfer Learning Method for Fake News Detection
The rapid development of social media has brought convenience to people’s lives, but at the same time, it has also led to the widespread and rapid dissemination of false information among the population, which...
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Chapter and Conference Paper
Optimal Scheduling Strategy of Integrated Energy System Considering Energy Storage Lifetime Decay
Aiming at the problem that the influence of energy storage life decay is not considered in the optimal dispatch of integrated energy system, the model of energy storage life decay is studied. On this basis, th...
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Chapter and Conference Paper
An Experiment Study on Federated Learning Testbed
Internet of Things (IoT) can benefit from machine learning by outsourcing model training on the cloud, user data exposure to an untrusted cloud service provider can pose threat to user privacy. Recently, fe...
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Chapter and Conference Paper
Accelerating GPU-Based Out-of-Core Stencil Computation with On-the-Fly Compression
Stencil computation is an important class of scientific applications that can be efficiently executed by graphics processing units (GPUs). Out-of-core approaches help run large scale stencil codes that process...
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Chapter and Conference Paper
Using Ultrasound to Assess Microchambers and Macrochambers Tissue Properties After Walking at Different Speeds and Durations
Exercise has been shown to improve health in people with diabetes. However, various walking speeds and durations in daily life may increase plantar pressure, thereby increasing risk for diabetic foot ulcers. P...
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Chapter and Conference Paper
A Two-DOF Ultrasonic Motor Based on Longitudinal and Bending-Bending Vibrations for Manipulator
A novel two-DOF ultrasonic motor based on longitudinal and bending-bending vibrations was introduced in this paper. This proposed two-DOF ultrasonic motor is potential in driving the hyper-redundant manipulato...
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Chapter and Conference Paper
GMGCN: Gated Memory Graph Convolutional Network for Passenger Demand Prediction
With the rapid proliferation of smart ways to travel, the accurate prediction of passenger demand in urban areas has become an important task. Existing methods mainly focus on the modeling of Euclidean correla...
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Chapter and Conference Paper
Deep Active Learning for Breast Cancer Segmentation on Immunohistochemistry Images
Immunohistochemistry (IHC) plays an essential role in breast cancer diagnosis and treatment. Reliable and automatic segmentation of breast cancer regions on IHC images would be of considerable value for furthe...
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Chapter and Conference Paper
Experimental Investigation of Thermal Elasto-Hydrodynamic Lubrication Based on Temperature Control
The heat generated from the working tribo-pairs will make the temperature of the lubricant rise which deficiently affects the performance of the lubricant and make the lubricant film thinner or broken which is...
