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Ultrasound Medical Images Classification Based on Deep Learning Algorithms: A Review

With the development of technology and smart devices in the medical field, the computer system has become an essential part of this development to learn devices in the medical field. One of the learning methods is deep learning (DL), which is a branch of machine learning (ML). The deep learning approach has been used in this field because it is one of the modern methods of obtaining accurate results through its algorithms, and among these algorithms that are used in this field are convolutional neural networks (CNN) and recurrent neural networks (RNN). In this paper we reviewed what have researchers have done in their researches to solve fetal problems, then summarize and carefully discuss the applications in different tasks identified for segmentation and classification of ultrasound images. Finally, this study discussed the potential challenges and directions for applying deep learning in ultrasound image analysis.  

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Fairoz Q. Kareem mail -
Adnan Mohsin Abdulazeez mail
link https://doi.org/10.54216/FPA.030102

Volume & Issue

Vol. Volume 3 / Iss. Issue 1

Details open_in_new

Electrocardiogram Classification Based on Deep Convolutional Neural Networks: A Review

Due to many new medical uses, the value of ECG classification is very demanding. There are some Machine Learning (ML) algorithms currently available that can be used for ECG data processing and classification. The key limitations of these ML studies, however, are the use of heuristic hand-crafted or engineered characteristics of shallow learning architectures. The difficulty lies in the probability of not having the most suitable functionality that will provide this ECG problem with good classification accuracy. One choice suggested is to use deep learning algorithms in which the first layer of CNN acts as a feature. This paper summarizes some of the key approaches of ECG classification in machine learning, assessing them in terms of the characteristics they use, the precision of classification important physiological keys ECG biomarkers derived from machine learning techniques, and statistical modeling and supported simulation.

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Rozin Majeed Abdullah mail -
Adnan Mohsin Abdulazeez mail
link https://doi.org/10.54216/FPA.030103

Volume & Issue

Vol. Volume 3 / Iss. Issue 1

Details open_in_new

A Study of Internet of Medical Things (IoMT) Used in Pandemic Covid-19 For Healthcare Monitoring Services

 Before Internet of things, visit or meet a doctor is based on the appointments, by tele and text communication and also interaction with patient and doctors are limited. IoMT enables medical devices remote monitoring, unleash the possibility for patients to keep safe and healthy, also made easy for physicians to deliver excellent care for patients. The capability of IoT or IoMT in infectious disease control a network of interconnected systems and Artificial intelligence, Data analytics and using omnipresent connectivity in all these networks based upon real time data can help to provide an early warning system to restraint the spread of Pandemic like situation (Covid-19 corona virus, Ebola virus, Hanta Virus etc.) and it also help in healthcare monitoring and treatment services.

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Mandeep Singh Heer mail -
Harikrishna Chavhan mail -
Vikas Chumber mail -
Vikrant Sharma mail
link https://doi.org/10.54216/JCIM.050201

Volume & Issue

Vol. Volume 5 / Iss. Issue 2 : Special Issue CITCOVID-19

Details open_in_new

Analysis of Various Credit Card Fraud Detection Techniques

Data mining is a technique that is applied to mine valuable information from the rough data. A prediction analysis is an approach that has the potential for forecasting future possibilities based on the recent data. The CCFD is the challenge of prediction in which fraudulent transactions are predicted based on certain rules. There are several stages included in the detection of fraud in credit cards. Various classification algorithms are reviewed with respect to the performance analysis in order to detect fraud in the credit card. The performance is measured with regard to precision.

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Heena Kochhar1
link https://doi.org/10.54216/JCIM.050202

Volume & Issue

Vol. Volume 5 / Iss. Issue 2 : Special Issue CITCOVID-19

Details open_in_new

A Novel Artificial Face Mask based Nanofibers with Special Intelligent Engineered Nanocomposite Against Covid-19

We introduce our idea about a new face mask against Covid-19. Herein our novel face mask is a polymeric matrix of nanofibers. These nanofibers are decorated with special engineered nanocomposite. The later possesses antiviral, antimicrobial. Awell-established IR temperature biosensor will be implanted in the face mask and connected to the mobile phone using App (Seek thermal) to allow temperature monitoring. Artificial Intelligence can play a vital role in the fight against COVID-19. AI is being successfully used in the identification of disease clusters, monitoring of cases, prediction of the future outbreaks, mortality risk, diagnosis of COVID-19, disease management by resource allocation, facilitating training, record maintenance and pattern recognition for studying the disease trend. Therefore, AI is used as a type of alarm which be connected through Global Position System (GPS) to a central networking system to monitor the crowded areas of probable infections. In this case, the hospital in this neighborhood will be charged to let a mobile unit of assessment travel quickly to the infected people areas.

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Ahmed A. Elngar mail -
S.I. El-Dek mail
link https://doi.org/10.54216/JCIM.050203

Volume & Issue

Vol. Volume 5 / Iss. Issue 2 : Special Issue CITCOVID-19

Details open_in_new

Linear and Non-Linear Decagonal Neutrosophic numbers: Alpha Cuts, Representation, and solution of large MCDM problems

The postulation of neutrosophic numbers has been analyzed from different angles in this paper. In this current era, our main purpose is to mention Decagonal Neutrosophic numbers. The types of linear and non-linear generalized decagonal neutrosophic numbers play a very critical role in the theory related to uncertainty This approach is helpful in getting a crisp number from a neutrosophic number. The definitions regarding Linear, Non-Linear, symmetry, Asymmetry, alpha cuts have been introduced and large decision-making problems using fuzzy TOPSIS have been solved.      

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Sara Farooq mail -
Ali Hamza mail -
Florentin Smarandache mail
link https://doi.org/10.54216/IJNS.140102

Volume & Issue

Vol. Volume 14 / Iss. Issue 1

Details open_in_new