Kazuhiko Hamamoto
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View article: A Cascade of Encoder–Decoder with Atrous Convolution and Ensemble Deep Convolutional Neural Networks for Tuberculosis Detection
A Cascade of Encoder–Decoder with Atrous Convolution and Ensemble Deep Convolutional Neural Networks for Tuberculosis Detection Open
Tuberculosis (TB) is the most serious worldwide infectious disease and the leading cause of death among people with HIV. Early diagnosis and prompt treatment can cut off the rising number of TB deaths, and analysis of chest X-rays is a cos…
View article: Glioma Brain Tumor Classification Using Convolution Neural Network and Majority Voting
Glioma Brain Tumor Classification Using Convolution Neural Network and Majority Voting Open
Glioma brain tumors are malignant diseases for which early detection and instant treatment will increase the survival rate. Several studies have reported the efficiency of deep learning convolutional neural networks (CNN) in diagnosing bra…
View article: On Applying Bandit Algorithm to Fault Localization Techniques
On Applying Bandit Algorithm to Fault Localization Techniques Open
Developers must select a high-performance fault localization (FL) technique from available ones. A conventional approach is to try to select only one FL technique that is expected to attain high performance before debugging activity. In co…
View article: Purpose of the Special Issue on “Diversity and Inclusion in Engineering Education”
Purpose of the Special Issue on “Diversity and Inclusion in Engineering Education” Open
View article: ACIIS 2023 Program Book
ACIIS 2023 Program Book Open
The latest advances in the speech and audio technology field have led to systems with real-world capabilities that are poised to change the way we live and do business.In this talk, Prof. McLoughlin will highlight some of his research path…
View article: Automated Caries Screening Using Ensemble Deep Learning on Panoramic Radiographs
Automated Caries Screening Using Ensemble Deep Learning on Panoramic Radiographs Open
Caries prevention is essential for oral hygiene. A fully automated procedure that reduces human labor and human error is needed. This paper presents a fully automated method that segments tooth regions of interest from a panoramic radiogra…
View article: Multimodal Biometrics Recognition Using a Deep Convolutional Neural Network with Transfer Learning in Surveillance Videos
Multimodal Biometrics Recognition Using a Deep Convolutional Neural Network with Transfer Learning in Surveillance Videos Open
Biometric recognition is a critical task in security control systems. Although the face has long been widely accepted as a practical biometric for human recognition, it can be easily stolen and imitated. Moreover, in video surveillance, it…
View article: Purpose of Special Issue on “Data Science Education”
Purpose of Special Issue on “Data Science Education” Open
View article: Ensemble Deep Learning for the Detection of COVID-19 in Unbalanced Chest X-ray Dataset
Ensemble Deep Learning for the Detection of COVID-19 in Unbalanced Chest X-ray Dataset Open
The ongoing COVID-19 pandemic has caused devastating effects on humanity worldwide. With practical advantages and wide accessibility, chest X-rays (CXRs) play vital roles in the diagnosis of COVID-19 and the evaluation of the extent of lun…
View article: Deep Fusion Feature Extraction for Caries Detection on Dental Panoramic Radiographs
Deep Fusion Feature Extraction for Caries Detection on Dental Panoramic Radiographs Open
Caries is the most well-known disease and relates to the oral health of billions of people around the world. Despite the importance and necessity of a well-designed detection method, studies in caries detection are still limited and show a…
View article: An Integrated System for the Seamless Localization and Specification of a Position Based on an Indoor-Outdoor Conditions in Ubiquitous Computing Environments
An Integrated System for the Seamless Localization and Specification of a Position Based on an Indoor-Outdoor Conditions in Ubiquitous Computing Environments Open
The growing research interest in the localization tracking system has prompted development alongside availability positioning techniques to apply to the real environment and current situation.An integrated system that can support navigatio…
View article: Hybrid Learning of Hand-Crafted and Deep-Activated Features Using Particle Swarm Optimization and Optimized Support Vector Machine for Tuberculosis Screening
Hybrid Learning of Hand-Crafted and Deep-Activated Features Using Particle Swarm Optimization and Optimized Support Vector Machine for Tuberculosis Screening Open
Tuberculosis (TB) is a leading infectious killer, especially for people with Human Immunodeficiency Virus (HIV) and Acquired Immunodeficiency Syndrome (AIDS). Early diagnosis of TB is crucial for disease treatment and control. Radiology is…
View article: Deep Learning for Optic Disc Segmentation and Glaucoma Diagnosis on Retinal Images
Deep Learning for Optic Disc Segmentation and Glaucoma Diagnosis on Retinal Images Open
Glaucoma is a major global cause of blindness. As the symptoms of glaucoma appear, when the disease reaches an advanced stage, proper screening of glaucoma in the early stages is challenging. Therefore, regular glaucoma screening is essent…
View article: Integration of Indoor Localization System using Wi-Fi Fingerprint, Bluetooth Low Energy Beacon and Pedometer Based on Android Application Platform
Integration of Indoor Localization System using Wi-Fi Fingerprint, Bluetooth Low Energy Beacon and Pedometer Based on Android Application Platform Open
Location-based service has become an important element in indoor positioning with increasing precision.Indoor technologies help with user navigation and positioning in specific locations.Many location-based services and applications have b…
View article: Automatic Detection of Pulmonary Nodules using Three-dimensional Chain Coding and Optimized Random Forest
Automatic Detection of Pulmonary Nodules using Three-dimensional Chain Coding and Optimized Random Forest Open
The detection of pulmonary nodules on computed tomography scans provides a clue for the early diagnosis of lung cancer. Manual detection mandates a heavy radiological workload as it identifies nodules slice-by-slice. This paper presents a …
View article: Computer-Assisted Screening for Cervical Cancer Using Digital Image Processing of Pap Smear Images
Computer-Assisted Screening for Cervical Cancer Using Digital Image Processing of Pap Smear Images Open
Cervical cancer can be prevented by having regular screenings to find any precancers and treat them. The Pap test looks for any abnormal or precancerous changes in the cells on the cervix. However, the manual screening of Pap smear in the …
View article: Indoor Location Tracking System Based on Android Application Using Bluetooth Low Energy Beacons for Ubiquitous Computing Environment
Indoor Location Tracking System Based on Android Application Using Bluetooth Low Energy Beacons for Ubiquitous Computing Environment Open
Indoor positioning and tracking systems have become enormous issue in location awareness computing due to its improvement of location detection and positioning identification. The locations are normally detected using position technologies…
View article: Design and Evaluation of Double-Stage Energy Harvesting Floor Tile
Design and Evaluation of Double-Stage Energy Harvesting Floor Tile Open
This paper introduces the design and characterization of a double-stage energy harvesting floor tile that uses a piezoelectric cantilever to generate electricity from human footsteps. A frequency up-conversion principle, in the form of an …
View article: Automatic Detection and Staging of Lung Tumors using Locational Features and Double-Staged Classifications
Automatic Detection and Staging of Lung Tumors using Locational Features and Double-Staged Classifications Open
Lung cancer is a life-threatening disease with the highest morbidity and mortality rates of any cancer worldwide. Clinical staging of lung cancer can significantly reduce the mortality rate, because effective treatment options strongly dep…
View article: Automated False Positive Reduction and Feature Extraction of Kidney Stone Object in 3D CT Images
Automated False Positive Reduction and Feature Extraction of Kidney Stone Object in 3D CT Images Open
CT imaging is widely used for a variety of diagnostic and therapeutic purposes.It is a best effective and efficient tool in kidney stones diagnostic and treatment strategies whenever contactless measurements of quality are necessary to exa…
View article: The Future of Engineering Education Considered from a Keyword “Cooperation”
The Future of Engineering Education Considered from a Keyword “Cooperation” Open
View article: Automatic Stitching of Medical Images Using Feature Based Approach
Automatic Stitching of Medical Images Using Feature Based Approach Open
Image stitching is a process of creating a panoramic image by combining multiple images that have overlapping regions of the same scene.It is a challenging topic in image processing, multimedia, and medical applications.The proposed system…
View article: Location Context Ontology Model based on Ubiquitous Computing Environment
Location Context Ontology Model based on Ubiquitous Computing Environment Open
Many technologies have been used to identify the structure of context-based information in location-based service for positioning performance.Ontology based modeling is one of techniques that offer a domain that classify the type of locati…
View article: Computer Aided Diagnosis System for Detection of Cancer Cells on Cytological Pleural Effusion Images
Computer Aided Diagnosis System for Detection of Cancer Cells on Cytological Pleural Effusion Images Open
Cytological screening plays a vital role in the diagnosis of cancer from the microscope slides of pleural effusion specimens. However, this manual screening method is subjective and time-intensive and it suffers from inter- and intra-obser…
View article: Comparative Study on Automated Cell Nuclei Segmentation Methods for Cytology Pleural Effusion Images
Comparative Study on Automated Cell Nuclei Segmentation Methods for Cytology Pleural Effusion Images Open
Automated cell nuclei segmentation is the most crucial step toward the implementation of a computer-aided diagnosis system for cancer cells. Studies on the automated analysis of cytology pleural effusion images are few because of the lack …
View article: Detection and Classification of Overlapping Cell Nuclei in Cytology Effusion Images Using a Double-Strategy Random Forest
Detection and Classification of Overlapping Cell Nuclei in Cytology Effusion Images Using a Double-Strategy Random Forest Open
Due to the close resemblance between overlapping and cancerous nuclei, the misinterpretation of overlapping nuclei can affect the final decision of cancer cell detection. Thus, it is essential to detect overlapping nuclei and distinguish t…
View article: Automated Diabetic Retinopathy Screening System Using Hybrid Simulated Annealing and Ensemble Bagging Classifier
Automated Diabetic Retinopathy Screening System Using Hybrid Simulated Annealing and Ensemble Bagging Classifier Open
Diabetic Retinopathy (DR) is the leading cause of blindness in working-age adults globally. Primary screening of DR is essential, and it is recommended that diabetes patients undergo this procedure at least once per year to prevent vision …
View article: Purpose of the Special Issue on “Engineering Education Using Information Communication Technology”
Purpose of the Special Issue on “Engineering Education Using Information Communication Technology” Open
View article: Purpose of the Mini Special Issue on “Sharing Vision of Engineering Education between Academia & Industry”
Purpose of the Mini Special Issue on “Sharing Vision of Engineering Education between Academia & Industry” Open
View article: Haptic Rendering for a Virtual Palpation System
Haptic Rendering for a Virtual Palpation System Open
SUMMARY In this research, a combination of haptic display technology and ultrasonic elasticity imaging technology is attempted. The system can provide living body elasticity information in a three‐dimensional (3D) space as visual informati…