Yoshiyasu TakefujiMusashino University · Data Science
Yoshiyasu Takefuji
Ph.D. Professor
How you make the most of opportunities will lead to success.
About
787
Publications
83,590
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5,217
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Introduction
Research interests include cyber-security, machine learning, neural computing, energy harvesting, IoT, automated reasoning, and applied AI. The developed AI prototypes outperform super-skilled humans in civil engineering and construction, marketing, skin cancers, and many other areas.
Based on publications, I was selected by Times Higher Education for reputation survey representing peers in my discipline and country in 2021,2022 and 2023 for world's university rankings.
Additional affiliations
March 2018 - January 2023
Weihai city in China
Position
- Economic advisor
Description
- Economic advisor to mayor of Weihai
April 2021 - present
April 1992 - March 2021
Education
April 1980 - March 1983
April 1978 - March 1980
April 1974 - March 1978
Publications
Publications (787)
A system architecture and a network computational approach compatible with the goal of devising a general-purpose artificial neural network computer are described. The functionalities of supervised learning and optimization are illustrated, and cluster analysis and associative recall are briefly mentioned.< >
A near-optimum parallel planarization algorithm is presented. The planarization algorithm, which is designed to embed a graph on a plane, uses a large number of simple processing elements called neurons. The proposed system, composed of an N x N neural network array (where N is the number of vertices), not only generates a near-maximal planar subgr...
Neural Network Parallel Computing is the first book available to the professional market on neural network computing for optimization problems. This introductory book is not only for the novice reader, but for experts in a variety of areas including parallel computing, neural network computing, computer science, communications, graph theory, comput...
Ludvigsson et al. (Feb. 18 issue) reported on open schools and child and teacher morbidity in Sweden during the coronavirus 2019 (Covid-19) pandemic.1 Sweden allowed Covid-19 to spread in the hope that the population would develop “herd immunity.” The younger the patients, the fewer deaths due to Covid-19 are reported.1 Data reported in Statista sh...
I agree with your argument that the successor to Japan’s prime minister Shinzō Abe must embrace diversity, diplomacy and better regulation in science (Nature 585, 159; 2020). However, such policy advances depend on advice from expert scientists, which is not solicited under Japan’s present political system.
Japan’s political parties are faction-ri...
Lithium batteries, essential for various technologies, have a recycling rate of only 1%, significantly lower than the 99% rate of lead-acid batteries and falling short of the UN’s Sustainable Development Goals. Current Environmental, Social, and Governance (ESG) policies are flawed, with CEOs prioritizing lithium mining over recycling, disrupting t...
In Japan, the number of skilled shaft excavator engineers is decreasing. To complete the Linear Central Shinkansen line of 286 km between Tokyo and Nagoya, an AI-equipped shaft excavator was prototyped to absorb the tacit knowledge of highly skilled engineers. The AI can predict penetration resistance and optimally controlling the excavator. This n...
While drug therapy plays a crucial role in cancer treatment, many anticancer drugs, particularly cytotoxic and molecular-targeted drugs, cause severe side effects, which often limit the dosage of these drugs. Efforts have been made to alleviate these side effects by developing derivatives, analogues, and liposome formulations of existing anticancer...
With the proliferation of the Internet, the number of cyber-attacks has increased worldwide. To prevent cyber-attacks, network administrators need to use analytical tools to disclose six new
critical statistics such as Internet Protocol (IP) authenticity and classification, IP ownership, fre�quency of attacks, time of day, day of the week, and cou...
The purpose of this study is to scrutinize the repercussions of the COVID-19 pandemic on the incidence of drug overdose fatalities in the US.
The study utilizes datasets from the CDC and employs a linear regression model to calculate the time-series of excessive deaths spanning from 2020 to 2022. An extensive literature review focusing on overdoses...
This paper investigates the trends in erectile dysfunction research by integrating individual keywords such as COVID-19, mental health, psychiatry, and drug use. The study spans a six-year period from September 21, 2017, to September 21, 2023, and utilizes resources from the National Library of Medicine. For instance, the quantity of relevant docum...
Backpropagation applies backward automatic differentiation on the computational graph. Theoretically, it is assumed that the computation time per processing unit remains unchanged as the number of epochs increases. This paper introduces a novel phenomenon: as the number of batch processes increases, the time to complete the backward automatic diffe...
The use of geographic analysis in the field of cybersecurity is growing. However, few studies have evaluated implementation methods and algorithms. In this paper, we characterize each of the IoCs (Indicators of Compromise) by comparing the open-source Reported Blocklist Database (AbuseIPDB) and the IoCs of the Covid-19 Spam campaign based on VirusT...
This paper aims to provide a tutorial for diabetologists and endocrinologists on using generative AI to analyze datasets. It is designed to be accessible to those new to generative AI or without programming experience.
The paper presents three examples using a real diabetes dataset. The examples demonstrate binary classification with the ‘Group’ va...
Mitochondria originated from aerobic bacteria in endosymbiosis. Through this symbiosis, eukaryotes acquired an efficient energy-producing system, but at the cost of exposure to oxidative stress from reactive oxygen species (ROS). Molecular hydrogen (H2) was recently identified as an antioxidant that selectively reduces ROS, such as hydroxyl radical...
From an astronomical perspective, climate change has a significant impact on both life and the environment on Earth. This paper examines the statistical significance of the relationship between monthly global atmospheric CO2 levels and surface temperature anomalies using NOAA datasets. The p-value is used to determine the statistical significance o...
Through experiencing cardiopulmonary arrest, an artificial intelligence universal biomarker prediction tool was developed to help patients understand improvement in the trends of their disease. PyPI tool handles two biomarkers, hbA1c for diabetes and NP-proBNP for heart failure, to predict the next hospital visit. Predicting improvement in disease...
The 2022 Medicare Fee-For-Service Improper Payments Report reveals an estimated $80.57 billion in improper payments, with a payment error rate of 15.62%. This paper uses generative AI to analyze and identify which provider types and HCPC codes are most strongly associated with these errors. The paper employs generative AI to produce two Python code...
As diabetes rates surge globally, there is a corresponding rise in the number of patients suffering from diabetic kidney disease (DKD), a common complication of diabetes. DKD is a significant contributor to chronic kidney disease, often leading to end-stage renal failure. However, the effectiveness of current medical treatments for DKD leaves much...
The Michael J. Fox Foundation has been funding research on Parkinson’s disease for 35 years, but has yet to find a cure. This is due to a problem with the philosophy behind the development of modern medical treatments. In this paper, we will introduce “smart medicine” with a substance that can solve all the problems of central nervous system drugs....
Background In the event of a natural disaster, water is often unavailable. Natural disasters often prevent the existing water infrastructure from functioning to supply water to citizens. Existing water systems are also vulnerable to poisoning such as terrorism and can be destroyed in war because they are centralized infrastructure systems. In the U...
There is no tool for calculating a case fatality rate (CFR) and a lag time of COVID-19. This paper proposes a new policymaker tool, covidlag for policymakers to calculate the CFR and the lag time with associated relationship from infection to death. The more the infections, the more the COVID-19 deaths. The less the infections, the less the deaths....
In this paper, we present an experiment of our randomized hints strategy of automated reasoning for yielding Axiom(5) from Axiom(1)(2)(3)(4) of Infinite-Valued Lukasiewicz Logic. In the experiment, we randomly generated a set of hints with size ranging from 30 to 60 for guiding hyper-resolution based search by the theorem prover. We have successful...
With the rapid increase in diabetes worldwide, the number of patients with diabetic kidney disease (DKD), a complication of diabetes mellitus, is also on the rise. DKD is a major cause of chronic kidney disease progressing to end-stage renal failure; however, current medical treatments for DKD do not achieve satisfactory outcomes. Molecular hydroge...
There are many unsecured dynamic DNS servers which have been used in the world. This paper proposes a new PyPI dynamic DNS updater, dyDNS, which allows users to update IPs for free dynamic DNS providers securely using OpenSSL technology which solves unsecured problems. Unlike traditional free dynamic DNS updating tools, dyDNS encrypts usernames, pa...
This paper investigates the impact of COVID-19 on mental health in the US using a large CDC dataset and a new method with generative AI for automatically generating Python code. The generated code was used to investigate and visualize the time-series impact of COVID-19 on mental health by eight categories over time. The paper aims to activate resea...
Instructors are always interested in methods to activate learner incentives and motivation to increase learning effectiveness. This paper introduces the Python Package Index (PyPI) as a powerful tool to maximize learner incentives on software and presents an example of its application in pest science. The more useful the PyPI application is, the mo...
Hill-climbing is a heuristic search or informed search technique having different weights or variants used for mathematical optimization problems in the field of artificial intelligence. This paper proposes a new hill-climbing technique to achieve the highest prediction accuracy in the skin cancer benchmark.
Changing the termination condition force...
This paper will identify a fatal flaw in the current Digital Object Identifier (DOI) management policy regarding software reproducibility validation with service providers. The fatal flaw can cause security breaches for individuals and organizations over the Internet. Under the current DOI policy, once software code with known security vulnerabilit...
Recently, datasets have been discovered for which adaptive optimizers are not more than adequate. No evaluation criteria have been established for optimization as to which algorithm is appropriate. In this paper, we propose a characterization method by implementing backward automatic differentiation and characterizes the optimizer by tracking the g...
PurposeThere are 47 municipalities and prefectures in Japan that operate similar COVID-19 policies in a unified manner. There are significant differences regarding their policy outcomes. In order to investigate when the outcomes are different, we made a COVID-19 policy outcome analysis tool, jpcovid for evaluating time-series scores of individual p...
Molecular hydrogen (H2) was identified as an antioxidant that directly reduces hydroxyl radicals (·OH) and peroxynitrite. H2 also exerts indirect antioxidant, anti-inflammatory, and antiapoptotic effects via the regulation of gene expression. Other indirect mechanisms through which H2 exerts its effects have been reported, such as nuclear factor er...
Scholar performance evaluation plays a key role in management science and engineering. Scholar evaluation using Google Scholar and ResearchGate can serve as an indispensable scouter for evaluating scholar performance. Both tools to quantitatively evaluate scholars can be used to support evidence-based decision making in administration and human res...
Diversity is supposed to create better groups and societies but sometimes fails. It is explained why the power of diversity may not create better groups in the current diversity prediction theory. Diversity may hurt civic life and introduce distrust. This is because the current diversity prediction theory is based on real numbers that ignore indivi...
This paper investigated impact of COVID-19 on mortality under 5 years old. The mortality effects were calculated with two CDC datasets such as the dataset from 2015 to 2020 and the provisional dataset from 2020 to 2022. The result shows that there is no effect of COVID-19 on mortality under 5 years old.
In the early 2000s, Japanese society became aware of the social phenomenon of hikikomori or social withdrawal among Japanese youth. However, the hikikomori phenomenon was not a domestic Japanese social problem, but a global social and health issue or a global silent epidemic. A literature review was conducted on the global silent epidemic issue and...
This paper reports case studies on economic injustice or fraud in Japan, the US, the EU, the UK, and Moldova respectively. This paper is intended to alert governments and leaders of the international community to fraud. A literature review on fraud was conducted. First, this paper presents recent fraud cases related to COVID-19 and why cases are in...
Tree-structured LSTM (Long Short-Term Memory) is a promising concept to consider long-distance interaction over hierarchies with syntactic information. Besides, compared with chain-structured one, tree-structured LSTM has better modularity of learning process. However, there still remains the challenge concerning hyperparameter tuning in tree-struc...
Active thin film electrochromic or thermochromic coatings have been used in smart windows. However, the current cost of active thin film windows is approximately 10 times that of passive film windows. This paper proposes an inexpensive passive thin metal film for all-season energy savings. The proposed passive thin metal film allows heat to flow pr...
Sir, in February 2021, Marouf et al. discovered a strong association between periodontitis and severity of COVID-19 infection with 568 patients.1Shamsoddin used the same data from the Hamad Medical Corporation (HMC) in the state of Qatar for confirmation of the Marouf et al. study and supported its conclusions.2 However, Shamsoddin suggested that a...
This paper examines effectiveness of vaccination with symptoms by age groups in the US and Hamamatsu city in Japan. The efficacy of vaccination has been reported in Singapore, but both datasets such as the US CDC dataset and the Hamamatsu dataset contradict the Singapore results. Both local government and government datasets are publicly available...
STEM-education also creates critical thinkers, increases science literacy, and enables the next generation of innovators. Although mathematics is robust, scientific laws are statements based on repeated experiments or observations that describe or predict a range of natural phenomena. Different observations may produce a new scientific law which ma...
There are two types of policy outcome analysis tools: snapshot tool and time-series tool. hiscovid is a time-series policy outcome scoring tool of COVID-19 policies by country where the daily cumulative population mortality is used for scoring the outcomes of COVID-19 country policies to visualize and identify when policymakers made mistakes. hisco...
This article will scientifically evaluate individual COVID-19 policies of countries around the world, U.S. states, and Japanese prefectures, respectively. The efficacy of the vaccines has been reported in many of the world's top medical journals, but even after more than a year of vaccination, the claims have yet to be met. Human emotions, behavior...
Much research has been done on the efficacy of vaccines against the COVID-19 pandemic, but the claims have not yet been realized in the real world. This paper proposes three COVID-19 policy outcome analysis tools such as jpscore for scoring and revealing the best prefecture policy in Japan, scorecovid for scoring and revealing the best country poli...
AimThe goal of this paper is to analyze the COVID-19 policies of 10 European countries, including Sweden, Finland, Norway, Italy, France, Germany, Poland, Belgium, the Netherlands, and Hungary, with a time-series policy analysis tool.Subject and methodsThe results of the COVID-19 policy analysis are based on a single time-series indicator, or daily...
There are two types of policy analysis tools: snapshot tool and time-series tool. scorecovid is a snapshot tool to score individual COVID-19 policies in the world and sort a list of scores. The population mortality rate is used for evaluating the outcomes of COVID-19 country policies. The lower the score, the less the COVID-19 deaths. The lower the...
Generally, the negation-limited inverters problem is a puzzle of constructing an inverter with AND gates and OR gates, and a few inverters. This paper introduces a curious new result about the effectiveness of two powerful ATP (Automated Theorem Proving) strategies in tackling negation-limited inverter problems. Two resolution strategies are UR (Un...