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Expert System for the Diagnosis and Prognosis of Common Dental Diseases Using Bayes Network

Journal of Biomedical Science and Engineering 2021年第11期14卷 361-370页

作者： Grace Tam-Nurseman Philip Achimugu Oluwatolani Achimugu hilary kelechi anabi Sseggujja Husssein Department of Computer Science Lead City University Ibadan Nigeria Department of Computer Science Air Force Institute of Technology Kaduna Nigeria Department of Information and Communication Engineering Air Force Institute of Technology Kaduna Nigeria Department of Computer Science Islamic University in Uganda Mbale Uganda

Expert systems are being utilized increasingly in medical fields for the purposes of assisting diagnosis and treatment planning. Existing systems used few symptoms for dental diagnosis. In Dentistry, few symptoms are not enough for diagnosis. In this research, a conditional probability model (Bayes rule) was developed with increased number of symptoms associated with a disease for diagnosis. A test set of recurrent cases was then used to test the diagnostic capacity of the system. The generated diagnosis matched that of the human experts. The system was also tested for its capacity to handle uncommon dental diseases and the system portrayed useful potential.

关键词： Expert System Dental Diagnosis Dental Diseases and Human Expert

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Design of a Low-Cost Air Quality Monitoring System Using Arduino and ThingSpeak

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Computers, Materials & Continua 2022年第1期70卷 151-169页

作者： anabi hilary kelechi Mohammed H.Alsharif Chidumebi Agbaetuo Osichinaka UbadikeAlex Aligbe Peerapong Uthansakul Raju Kannadasan Ayman A.Aly Department of Aerospace Engineering College of EngineeringAirForce Institute of TechnologyKadunaNigeria Department of Electrical Engineering College of Electronics and Information EngineeringSejong UniversitySeoul05006Korea Department of Electrical Engineering and Information Engineering College of EngineeringCovenant UniversityCanaanlandOtaP.M.B 1023OgunNigeria School of Telecommunication Engineering Suranaree University of TechnologyNakhon RatchasimaThailand Department of Electrical and Electronics Engineering Sri Venkateswara College of EngineeringChennai602117India Department of Mechanical Engineering College of EngineeringTaif UniversityTaif21944Saudi Arabia

The impact of daily emissions of gaseous and particulate pollutants of machines and industries on human health and the environment has attracted increasing *** impact has significantly led to a notable increase in mortality in the highly industrialized ***,monitoring air quality and creating public awareness are important for a safer future,which led the governments globally to investmulti-billion in policymaking and solution stratification to address the *** study aims to design a realtime Internet of Things low-cost air quality monitoring *** system utilizes air quality and carbon monoxide sensors for monitoring gaseous ***,the system utilizes an Arduino Nano development board equipped with a WiFi module to effectively send readings to a ThingSpeak online channel platformfor instantaneous and real-time display of air *** ThingSpeak uses HTTP protocols to send emails in raising awareness of poor air *** level of concentration is monitored graphically through channels with the help of ThingSpeak to aid remote *** value is ***,when pollutants have become unhealthy and harmful,the system trips off an alarm,and e-mail notifications are sent to the *** results have shown that the work was successfully implemented a design of a low-cost air quality monitoring system using Arduino and ThingSpeak,showing that an air quality system can be implemented using a low-cost technology,Arduino and ThingSpeak.

关键词： IoT air quality MQ 135 sensor MQ-7 sensor air pollution

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Design and Implementation of a Low-Cost Portable Water Quality Monitoring System

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Computers, Materials & Continua 2021年第11期69卷 2405-2424页

作者： anabi hilary kelechi Mohammed H.Alsharif Anya Chukwudi-eke Anya Mathias *** Samson Aiyudubie Uyi Peerapong Uthansakul Jamel Nebhen Ayman A.Aly Department of Aerospace Engineering College of EngineeringAirForce Institute of TechnologyKadunaNigeria Department of Electrical Engineering College of Electronics and Information EngineeringSejong UniversityGwangjin-guSeoul05006Korea Department of Electrical Engineering and Information Engineering College of EngineeringCovenant UniversityCanaanlandOtaP.M.B 1023OgunNigeria School of Telecommunication Engineering Suranaree University of TechnologyNakhon RatchasimaThailand Prince Sattam bin Abdulaziz University College of Computer Engineering and SciencesAlkharj11942Saudi Arabia Department of Mechanical Engineering College of EngineeringTaif UniversityTaif21944Saudi Arabia

Water is one of the needs with remarkable significance to man and other living *** quality management is a concept based on the continuous monitoring of water *** monitoring scheme aims to accumulate data to make decisions on water resource descriptions,identify real and emergent issues involving water pollution,formulate priorities,and plan for water quality *** regularly considered parameters when conducting water quality monitoring are turbidity,pH,temperature,conductivity,dissolved oxygen,chemical oxygen demand,biochemical oxygen demand,ammonia,and metal *** usual method employed in capturing these water parameters is the manual collection and sending of samples to a laboratory for detection and ***,this method is impractical in the long run because it is laborious and consumes a considerable amount of human *** integrated into a mobile phone application interface can address this *** paper aims to design and implement an Internet of Things-based system comprising pH,temperature,and turbidity sensors,which are all integrated into a mobile phone application interface for a water monitoring *** project utilizes the Bluetooth Standard(IEEE 802.15.1)for communication/transfer of data,while the water quality monitoring system relies on the pH,turbidity,and temperature of the test water.

关键词： Temperature sensor pH sensor turbidity IoT water monitoring

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