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Article
Encoder-decoder networks with guided transmission map for effective image dehazing
A plain-architecture and effective image dehazing scheme, called Encoder-Decoder Network with Guided Transmission Map (EDN-GTM), is proposed in this paper. Nowadays, neural networks are often built based on co...
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Chapter and Conference Paper
Encoder–Decoder Network with Guided Transmission Map: Robustness and Applicability
The robustness and applicability of the Encoder–Decoder Network with Guided Transmission Map (EDN-GTM) proposed for efficient single image dehazing purpose are examined in this paper. The EDN-GTM utilizes the ...
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Article
Active Noise Control Using a Body-Mounted Vibration Actuator to Enhance the Interior Sound of Vehicle
This paper suggests an active sound control system using vibration actuators and microphones, called an active Vibro-acoustic enhancement (AVAE), to obtain a desired engine sound in a vehicle while the vehicle...
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Article
Influence of increased pain sensitivity on patient-reported outcomes following total knee arthroplasty
The purpose of this study was to discover whether increased pain sensitivity was associated with postoperative pain and patient-reported outcome measures (PROMs) after total knee arthroplasty (TKA).
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Article
Open AccessAlignment adjustment using the Valgus stress technique can increase the surgical accuracy of novice surgeons during medial opening-wedge high Tibial osteotomy
The purpose of this study was to compare the degree of accuracy of coronal alignment correction with use of the “alignment adjustment under valgus stress technique” between expert and novice surgeons during me...
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Article
Centroid Neural Network with Pairwise Constraints for Semi-supervised Learning
A clustering algorithm for datasets with pairwise constraints using the Centroid Neural Network (Cent.NN) is proposed in this paper. The proposed algorithm, referred to as the Centroid Neural Network with Pair...
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Article
Open AccessSurgical accuracy, function, and quality of life of simultaneous versus staged bilateral Total hip Arthroplasty in patients with Osteonecrosis of the femoral head
The optimal surgical option for patients requiring bilateral hip replacement remains controversial. The purpose of this study was to compare surgical accuracy; functional outcome and health-related quality of ...
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Chapter and Conference Paper
Object Detection Using Scale Invariant Feature Transform
An object detection scheme using the Scale Invariant Feature Transform (SIFT) is proposed in this paper. The SIFT extracts distinctive invariant features from images and it is a useful tool for matching betwee...
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Chapter and Conference Paper
Image Data Classification Using Fuzzy c-Means Algorithm with Different Distance Measures
Fuzzy c-Means algorithms(FCMs) with different distance measures are applied to an image classification problem in this paper. The distance measures discussed in this paper are the Euclidean distance measure an...
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Chapter and Conference Paper
Centroid Neural Network with Simulated Annealing and Its Application to Color Image Segmentation
Centroid Neural Network (CNN) with simulated annealing is proposed and applied to a color image segmentation problem in this paper. CNN is essentially an unsupervised competitive neural network scheme and is a...
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Chapter and Conference Paper
Satellite Image Classification Using a Divergence-Based Fuzzy c-Means Algorithm
A satellite image classifier scheme by using a Fuzzy c-Means (FcM) algorithm is proposed in this paper. The FcM algorithm adopted in this paper is a Gradient-based FcM with Divergence measure (GFcM(D)) and it ...
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Chapter and Conference Paper
Multi-class Classifier-Based Adaboost Algorithm
A multi-class classifier-based AdaBoost algorithm for the efficient classification of multi-class data is proposed in this paper. The traditional AdaBoost algorithm is basically a binary classifier and it has ...
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Chapter and Conference Paper
Color Image Segmentation Using Centroid Neural Network
Color image segmentation has been attracting more and more attention, mainly because color images can provide more information than gray level images. Many methods have been proposed so far to deal with the pr...
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Chapter and Conference Paper
A Web Information Retrieval System
An approach for the retrieval of price information from internet sites is applied to real-world application problems in this paper. The Web Information Retrieval System (WIRS) utilizes Hidden Markov Model (HMM...
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Chapter and Conference Paper
Financial Time Series Prediction in Cooperating with Event Knowledge: A Fuzzy Approach
A number of researchers have used historical numeric time series data to forecast financial markets, i.e. stock prices, and they achieved some results with reasonable accuracies. However, there are various non...
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Chapter and Conference Paper
Gradient-based Local Descriptor and Centroid Neural Network for Face Recognition
This paper presents a feature extraction method from facial images and applies it to a face recognition problem. The proposed feature extraction method, called gradient-based local descriptor (GLD), first calc...
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Chapter and Conference Paper
Applying an Artificial Neural Network to Building Reconstruction
This paper highlights the uses of Centroid Neural Network for detecting and reconstructing the 3D rooftop model from aerial image data. High overlap** aerial images are used as an input to the method. The Di...
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Chapter and Conference Paper
Standard Additive Fuzzy System for Stock Price Forecasting
Stock price forecasting has attracted tremendous attention of researchers over the past several decades. Many techniques thus have been proposed so far to deal with the problem. This paper presents an applicat...
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Article
Multiresolution-based bilinear recurrent neural network
A multiresolution-based bilinear recurrent neural network (MBLRNN) is proposed in this paper. The proposed MBLRNN is based on the BLRNN that has robust abilities in modeling and predicting time series. The lea...
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Chapter and Conference Paper
Information Extraction System Based on Hidden Markov Model
A novel approach using Hidden Markov Model (HMM) for the task of finding prices of products on internet sites is proposed in this paper. The proposed Information Extraction System based on HMM (IESHMM) utilize...
