58 Result(s)
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Chapter and Conference Paper
Gender and Academic Performance: A Case Study in Electrical Engineering
Education institutions are promoting diversity and inclusivity these days. Traditionally, engineering schools are under-represented by certain groups, especially females. In this work, a case study is presente...
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Chapter and Conference Paper
Inducing Bilingual Word Representations for Non-isomorphic Spaces by an Unsupervised Way
Bilingual word representations (BWRs) play a very key role in many natural language processing (NLP) tasks, especially cross-lingual applications such as machine translation and cross-lingual information retri...
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Chapter and Conference Paper
Co-graph Attention Reasoning Based Imaging and Clinical Features Integration for Lymph Node Metastasis Prediction
Lymph node metastasis (LNM) is the most critical prognosis factor in esophageal squamous cell carcinoma (ESCC). Effective and adaptive integration of preoperative CT images and multi-sourced non-imaging clinic...
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Chapter and Conference Paper
Predicting Esophageal Fistula Risks Using a Multimodal Self-attention Network
Radiotherapy plays a vital role in treating patients with esophageal cancer (EC), whereas potential complications such as esophageal fistula (EF) can be devastating and even life-threatening. Therefore, predic...
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Chapter and Conference Paper
Collaborative Learning of Cross-channel Clinical Attention for Radiotherapy-Related Esophageal Fistula Prediction from CT
Early prognosis of the radiotherapy-related esophageal fistula is of great significance in making personalized stratification and optimal treatment plans for esophageal cancer (EC) patients. The effective fusi...
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Chapter and Conference Paper
Factors for Academic Performance Prediction
Education is an important part of everyone’s life all over the world. Many institutions have started to use scientific methods to make policies and decisions, giving rise to the research area of education anal...
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Chapter and Conference Paper
Energy Efficient Container Consolidation Method in Cloud Environment Based on Heuristic Algorithm
While container-based clouds are increasingly gaining popularity, minimizing the power consumption of the data center is still one of the major challenges for cloud providers. Dynamic consolidation of containe...
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Chapter and Conference Paper
A Novel Topic Number Selecting Algorithm for Topic Model
A novel algorithm named the MTN (Multiple-Topic-Number) algorithm is introduced to deal with the problem of topic number selecting in topic model issue. The purpose of our algorithm is to build the LDA (Latent...
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Chapter and Conference Paper
Application Research of Ripley’s K-function in Point Cloud Data Shape Analysis
Classification and recognition of objects for images is an important issue in many scientific fields such as computer vision, biometrics and medical image analysis. An important feature of many objects is shap...
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Chapter and Conference Paper
Interface Information Visualization of Intelligent Control System Based on Visual Cognitive Behavior
A typical intelligent control system, Trina Solar MES production line, is studied in this paper. To begin with, the system information characterization and encoding method are determined through the behavior e...
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Chapter and Conference Paper
Distributed Cooperative Guidance Strategy for Multi-missile Attack the Maneuvering Target
This paper proposed a distributed cooperative guidance strategy in order to achieve multi-missile cooperative attack the maneuvering target. Firstly, ...
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Chapter and Conference Paper
Parametric Method for Improving Stability of Electric Power Systems
In this paper, the parametric method is used to bring the robust controller into the excitation system and adjust the required motor dam** according to the actual situation. Poles assignment technique is use...
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Chapter and Conference Paper
Motion Processing and Big Data
Motion tracking is an important component of many different applications. Capturing and classifying human motions require various innovative techniques and instrumentation. With the advent of the Big Data era...
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Chapter and Conference Paper
Mining High Utility Itemsets from Multiple Databases
In the past, many algorithms have been developed to efficiently mine the high-utility itemsets from a single data source, which is not a realistic scenario since the data may be distributed into varied branche...
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Chapter and Conference Paper
Research on Security Critical Task Scheduling Algorithm Based on ARINC 653 Standard
With the development of embedded technology, more and more security critical tasks appeared in embedded application fields, which requires higher real-time and reliability of the system. ARINC 653 standard pr...
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Chapter and Conference Paper
Online Signature Verification Based on Shape Context and Function Features
Online signature verification is becoming quite attractive due to its potential applications. In this paper, we present a method using shape context and function features as well as cascade structure for accur...
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Chapter and Conference Paper
Vehicle Detection Based on Separable Reverse Connected Network
Vehicle detection is a challenging problem which plays an important role in a wide range of traffic applications. In this paper, we propose a fast and accurate framework for detection vehicles on multi-scale ...
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Chapter and Conference Paper
Off-Line Signature Verification Using a Region Based Metric Learning Network
Handwritten signature verification is a challenging problem due to the high similarity between genuine signatures and skilled forgeries. In this paper, we propose a novel framework for off-line signature verif...
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Chapter and Conference Paper
Coherent Integration Algorithm for Weak Maneuvering Target Detection in Passive Radar Using Digital TV Signals
This paper considers the coherent integration problem of detecting weak maneuvering targets in passive radar using digital television terrestrial broadcasting (DTTB) signals. By dividing the continuous DTTB ec...
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Article
Application of ELM–Hammerstein model to the identification of solid oxide fuel cells
In this paper, a new method is proposed to identify solid oxide fuel cell using extreme learning machine–Hammerstein model (ELM–Hammerstein). The ELM–Hammerstein model consists of a static ELM neural network f...
