Guest Editors
Dr. Bilal Salih Alhayani, Yildiz Technical University, Turkey.
Dr. Bashar YAHYA, Istanbul Technical University, Turkey.
Summary
The wireless sensor network technologies are considered as one of the key research areas in computer science and healthcare application industries. The pervasive healthcare systems The Internet of Medical Things (MIoT) is an amalgamation of wearable medical devices and mobile applications that can connect to healthcare sensors information technology systems using networking technologies. (MIoT) The impact of IoT in healthcare, although still in its initial stages of development has been significant , attempts to review and understand the applications of MIoT in personalised healthcare will promote personalized care and higher standards of care and living through individual data-driven treatment regimens as well as optimized devices tailored to individual physiological requirements. The IoMT senses the patients’ health status and then transfers the medical data to doctors and healthcare providers with the help of remote cloud data centres. These data are used for disease diagnosis and in medical care decision-making. The main challenge in MIo is how to manage the large amount of medical data.
Potential topics include but are not limited to:
1. IoT measurement and control And new methodology of optical sensor network for detection
2. High-level methods and tools for node and application design healthcare sensors
3. The physical environment, both local and remote sensors
4. biomedical sensors network and and identification of biological and chemical agents
5. image transmission using in healthcare sensors
6. Reliability and security and Optical sensor network for detecting chemical and biological
Keywords
1. wireless sensor networks
2. internet of things
3. communication
4. learning
5. distributed processing
6. localization and sensing
Published Papers
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Open Access
ARTICLE
Novel Unilateral Dental Expander Appliance (UDEX): A Compound Innovative Materials
Hasan Sabah Hasan, Abdallah A. Abdallah, Imran Khan, Hala Sadek Alosman, Ayshan Kolemen, Bilal Alhayani
CMC-Computers, Materials & Continua, Vol.68, No.3, pp. 3499-3511, 2021, DOI:10.32604/cmc.2021.015968
（This article belongs to this Special Issue:
Wireless Sensors Networks Application in Healthcare and Medical Internet of Things (Miot) in Bio-Medical Sensors Networks)
Abstract True unilateral posterior crossbite in adults is a challenging malocclusion to treat, especially when we need to correct cross-arch segments with unwanted effects on non-cross segments. Conventional expansion methods are expected to have some shortcomings; the Unilateral dental expander appliance used to restore unilateral cross bite dental arch is an uncommon appliance; for this, a designed new device is needed. This paper aimed to invite a new unilateral dental expander appliance (UDEX) to treat unilateral dental posterior crossbite in adults using available dental material, easy to use and handle, well tolerated by the patient, and biocompatible with oral structure. It…
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Open Access
ARTICLE
Estimating Age in Short Utterances Based on Multi-Class Classification Approach
Ameer A. Badr, Alia K. Abdul-Hassan
CMC-Computers, Materials & Continua, Vol.68, No.2, pp. 1713-1729, 2021, DOI:10.32604/cmc.2021.016732
（This article belongs to this Special Issue:
Wireless Sensors Networks Application in Healthcare and Medical Internet of Things (Miot) in Bio-Medical Sensors Networks)
Abstract Age estimation in short speech utterances finds many applications in daily life like human-robot interaction, custom call routing, targeted marketing, user-profiling, etc. Despite the comprehensive studies carried out to extract descriptive features, the estimation errors (i.e. years) are still high. In this study, an automatic system is proposed to estimate age in short speech utterances without depending on the text as well as the speaker. Firstly, four groups of features are extracted from each utterance frame using hybrid techniques and methods. After that, 10 statistical functionals are measured for each extracted feature dimension. Then, the extracted feature dimensions are normalized…
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Open Access
ARTICLE
Soil Properties for Earthen Building Construction in Najran City, Saudi Arabia
Yaser Khaled Al-Sakkaf, Gamil M. S. Abdullah
CMC-Computers, Materials & Continua, Vol.67, No.1, pp. 127-140, 2021, DOI:10.32604/cmc.2021.014438
（This article belongs to this Special Issue:
Wireless Sensors Networks Application in Healthcare and Medical Internet of Things (Miot) in Bio-Medical Sensors Networks)
Abstract Earth is the most common and important building material used in the construction industry, since it is found in almost every country in the world. Modern earthen construction is alive and well, and is spread over an enormous geographical area. This technique utilizes various earthen materials and numerous methods, and features many benefits for both construction in general and buildings in particular. Najran, a city located in the south of Saudi Arabia, is distinguished by its heritage of earthen architecture, which displays many advantages and a marvelous variety of types and exterior designs. Many weaknesses of the material, however, along…
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Open Access
ARTICLE
Analytic Hierarchy Process for Evaluating Flipped Classroom Learning
Husam Jasim Mohammed, Hajem Ati Daham
CMC-Computers, Materials & Continua, Vol.66, No.3, pp. 2229-2239, 2021, DOI:10.32604/cmc.2021.014445
（This article belongs to this Special Issue:
Wireless Sensors Networks Application in Healthcare and Medical Internet of Things (Miot) in Bio-Medical Sensors Networks)
Abstract In reality, the flipped classroom has gained popularity as a modern way of structuring teaching, where lectures move from in-class procedures to digitally-based assignments, freeing up the debate, and practice exercises class time. Therefore, it is essential to implement and analyze a way of teaching that will improve student performance. The paper aims to develop a model of the method of teaching science in Iraqi schools, and to assess whether teaching flipped classroom affects the achievement, motivation, and creative thinking of students by using the methodology of Multi-Criteria Decision Making (MCDM) in the Analytic Hierarchy Process (AHP). The AHP approach…
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