Eman S. Attia¹, Ashraf A. M. Khalaf¹, Fathi E. Abd El-Samie², Saied M. Abd El-atty^2,*, Konstantinos A. Lizos^3,#, Osama Alfarraj⁴, Heba M. El-Hoseny⁵

CMES-Computer Modeling in Engineering & Sciences, Vol.138, No.2, pp. 1259-1275, 2024, DOI:10.32604/cmes.2023.028990

Abstract Recently, nano-systems based on molecular communications via diffusion (MCvD) have been implemented in a variety of nanomedical applications, most notably in targeted drug delivery system (TDDS) scenarios. Furthermore, because the MCvD is unreliable and there exists molecular noise and inter symbol interference (ISI), cooperative nano-relays can acquire the reliability for drug delivery to targeted diseased cells, especially if the separation distance between the nano transmitter and nano receiver is increased. In this work, we propose an approach for optimizing the performance of the nano system using cooperative molecular communications with a nano relay scheme, while accounting for blood flow effects… More >

AFAF ALHARTHI^*

BIOCELL, Vol.47, No.8, pp. 1743-1755, 2023, DOI:10.32604/biocell.2023.027154

Abstract Natural biomaterials are now frequently used to build biocarrier systems, which can carry medications and biomolecules to a target region and achieve a desired therapeutic effect. Biomaterials and polymers are of great importance in the synthesis of nanomaterials. The recent studies have tended to use these materials because they are easily obtained from natural sources such as fungi, algae, bacteria, and medicinal plants. They are also biodegradable, compatible with neighborhoods, and non-toxic. Natural biomaterials and polymers are chemically changed when they are linked by cross linking agents with other polymers to create scaffolds, matrices, composites, and interpenetrating polymer networks employing… More >

Ali F. Khalifa¹, Eman Badr^1,2,*

CMC-Computers, Materials & Continua, Vol.75, No.1, pp. 1995-2024, 2023, DOI:10.32604/cmc.2023.035888

Abstract Image segmentation is crucial for various research areas. Many computer vision applications depend on segmenting images to understand the scene, such as autonomous driving, surveillance systems, robotics, and medical imaging. With the recent advances in deep learning (DL) and its confounding results in image segmentation, more attention has been drawn to its use in medical image segmentation. This article introduces a survey of the state-of-the-art deep convolution neural network (CNN) models and mechanisms utilized in image segmentation. First, segmentation models are categorized based on their model architecture and primary working principle. Then, CNN categories are described, and various models are… More >

Andrea Morelli, Dario Puppi, Federica Chiellini^*

Journal of Renewable Materials, Vol.1, No.2, pp. 83-112, 2013, DOI:10.7569/JRM.2012.634106

Abstract Polymers, particularly those susceptible to undergoing biodegradation under physiological environments, can be considered the materials of choice for biomedical applications such as tissue engineering, regenerative medicine, and controlled and targeted drug delivery. The development of these relatively new fi elds of biomedical research represents the driving force towards the exploitation of renewable resources for the obtainment of biobased polymeric biomaterials. This perspective article reports on the biomedical applications of three major categories of biobased polymeric materials obtained from renewable resources, namely, polysaccharides, proteins and polyesters of natural origins. Particular emphasis is given to biobased polymers that display only minor modifi… More >

Omojola Awogbemi^1,*, Daramy Vandi Von Kallon¹, Victor Sunday Aigbodion^2,3

Journal of Renewable Materials, Vol.10, No.8, pp. 2217-2246, 2022, DOI:10.32604/jrm.2022.019152

Abstract Chicken eggshell is one of the most common wastes generated from households, restaurants and other food processing outlets. Waste Chicken Eggshells (WCES) also constitutes an environmental nuisance and ends up discarded at dumping site with no consideration of further usage. The main constituent of WCES is calcium carbonate from which calcium or calcium oxide can be extracted for various applications. This current effort reviews recently published literature on the diverse applications of WCES. The considered utilization avenues include catalysts for biofuel production, construction industry, wastewater purification, industrial sector, food industry, medical, and agricultural applications. The specific areas of application apart… More > Graphic Abstract

Esam A. AlQaralleh¹, Halah Nassif², Bassam A. Y. Alqaralleh^2,*

CMC-Computers, Materials & Continua, Vol.71, No.3, pp. 5477-5490, 2022, DOI:10.32604/cmc.2022.024364

Abstract Tongue diagnosis is a novel and non-invasive approach commonly employed to carry out the supplementary diagnosis over the globe. Recently, several deep learning (DL) based tongue color image analysis models have existed in the literature for the effective detection of diseases. This paper presents a fusion of handcrafted with deep features based tongue color image analysis (FHDF-TCIA) technique to biomedical applications. The proposed FDHF-TCIA technique aims to investigate the tongue images using fusion model, and thereby determines the existence of disease. Primarily, the FHDF-TCIA technique comprises Gaussian filtering based preprocessing to eradicate the noise. The proposed FHDF-TCIA model encompasses a… More >

Mahmoud Ragab^1,2, Ali Algarni³, Adel A. Bahaddad⁴, Romany F. Mansour^5,*

CMC-Computers, Materials & Continua, Vol.69, No.2, pp. 2277-2294, 2021, DOI:10.32604/cmc.2021.018000

Abstract Physical health plays an important role in overall well-being of the human beings. It is the most observed dimension of health among others such as social, intellectual, emotional, spiritual and environmental dimensions. Due to exponential increase in the development of wireless communication techniques, Internet of Things (IoT) has effectively penetrated different aspects of human lives. Healthcare is one of the dynamic domains with ever-growing demands which can be met by IoT applications. IoT can be leveraged through several health service offerings such as remote health and monitoring services, aided living, personalized treatment, and so on. In this scenario, Deep Learning… More >

Rihem Farkh^1,2, Haykel Marouani^1,*, Khaled Al Jaloud¹, Saad Alhuwaimel³, Mohammad Tabrez Quasim⁴, Yasser Fouad¹

CMC-Computers, Materials & Continua, Vol.68, No.2, pp. 2189-2203, 2021, DOI:10.32604/cmc.2021.015906

Abstract The COVID-19 pandemic has shown that there is a lack of healthcare facilities to cope with a pandemic. This has also underscored the immediate need to rapidly develop hospitals capable of dealing with infectious patients and to rapidly change in supply lines to manufacture the prescription goods (including medicines) that is needed to prevent infection and treatment for infected patients. The COVID-19 has shown the utility of intelligent autonomous robots that assist human efforts to combat a pandemic. The artificial intelligence based on neural networks and deep learning can help to fight COVID-19 in many ways, particularly in the control… More >

Peipeng Yu¹, Zhihua Xia^{1, *}, Jianwei Fei¹, Sunil Kumar Jha^{1, 2}

CMC-Computers, Materials & Continua, Vol.65, No.1, pp. 743-760, 2020, DOI:10.32604/cmc.2020.011391

Abstract Coronaviruses are a well-known family of viruses that can infect humans or animals. Recently, the new coronavirus (COVID-19) has spread worldwide. All countries in the world are working hard to control the coronavirus disease. However, many countries are faced with a lack of medical equipment and an insufficient number of medical personnel because of the limitations of the medical system, which leads to the mass spread of diseases. As a powerful tool, artificial intelligence (AI) has been successfully applied to solve various complex problems ranging from big data analysis to computer vision. In the process of epidemic control, many algorithms… More >

A.R.Skovoroda¹, R.V.Goldstein²

CMES-Computer Modeling in Engineering & Sciences, Vol.4, No.3&4, pp. 457-472, 2003, DOI:10.3970/cmes.2003.004.457

Abstract We discuss the inverse problem of the recovery of the distribution of the elastic moduli of a stratified layer, based on measurements of the surface displacement under localized surface loads. A general parametric solution and a numerical procedure for computing the parameters are presented. Examples of numerical results are given. The problem and its solution are related to the monitoring of elastic properties of living tissues. More >