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Articles by Eisuke Hanada
FL-SDMN: A Federated Learning-Based Software-Defined Mobile Networking for Intelligent Handover Optimization
You are already at the latest version The rapid increase of mobile users and advancement of widely used applications introduce high network demands for low-latency and reliable mobility management in mobile communication networks. However, the traditional handover approaches are rule-based and rely solely on signal strength thresholds with hysteresis margins, which are prone to ping-pong effects and are unable to adapt to dynamic network conditions.
A Comparative Analysis of Hyper-Parameter Optimization Methods for Predicting Heart Failure Outcomes
2.3. Hyper-Parameter Optimization 2.3.1. Grid Search and Randomized Search Both Grid Search (GS) and Randomized Search (RS) are traditional model-free algorithms-based optimization methods for hyper-parameter optimization [7]. One of the most commonly used optimization approaches, Grid Search (GS), uses a brute-force method to evaluate an entire given hyper-parameter combination and has been shown to have good performance [11].
An Approach to Fall Detection Using Statistical Distributions of Thermal Signatures Obtained by a Stand-Alone Low-Resolution IR Array Sensor Device
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
Impact of Data Pre-Processing Techniques on XGBoost Model Performance for Predicting All-Cause Readmission and Mortality Among Patients with Heart Failure
1. Introduction As one of the deadliest diseases and most prominent health issues globally, heart failure affects an estimated 64 million people worldwide and accounts for substantial healthcare expenditures []. Disease progression is unpredictable, which presents significant challenges for patient care and outcome prediction. Accurate readmission and mortality risk prediction is essential for optimizing treatment strategies and resource allocation in healthcare systems [].
A Low-Resolution Infrared Array for Unobtrusive Human Activity Recognition That Preserves Privacy
1. Introduction Understanding people’s activities is important to their health and for improving their lives. This is especially true in smart buildings that use advanced technology. With the Internet of Things (IoT) with smart technology, we are now able to connect how people move and act, which is changing how we live. For instance, it helps to automatically control things like lights and air conditioning in homes based on what people are doing.
Predictive Analytics in Heart Failure Prediction: A Systematic Review
Preprint Review Version 1 This version is not peer-reviewed Version 1 : Received: 23 January 2024 / Approved: 23 January 2024 / Online: 24 January 2024 (02:47:15 CET) Hidayaturrohman, Q.A.; Hanada, E. Predictive Analytics in Heart Failure Prediction: A Systematic Review. Preprints 2024, 2024011671. https://doi.org/10.20944/preprints202401.1671.v1 Hidayaturrohman, Q.A.; Hanada, E. Predictive Analytics in Heart Failure Prediction: A Systematic Review. Preprints 2024, 2024011671.
The Methods of Fall Detection: A Literature Review
This is an early access version, the complete PDF, HTML, and XML versions will be available soon. Open AccessReview by Nishat Tasnim Newaz 1,* and Eisuke Hanada 2 1 Department of Information Science and Engineering, Saga University, Saga 8408502, Japan 2 Faculty of Science and Engineering, Saga University, Saga 8408502, Japan * Author to whom correspondence should be addressed.
Potential of ChatGPT to Pass the Japanese Medical and Healthcare Professional National Licenses: A Literature Review
Specialty Please choose I'm not a medical professional. Allergy and Immunology Anatomy Anesthesiology Biostatistics Cardiac/Thoracic/Vascular Surgery Cardiology Critical Care Dentistry Dermatology Diabetes and Endocrinology Emergency Medicine Epidemiology and Public Health Family Medicine Forensic Medicine Gastroenterology General Practice Genetics Geriatrics Health Policy Hematology HIV/AIDS Hospital-based Medicine I'm not a medical professional.
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