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Nowadays, heart diseases cause the maximum death in the world. Also, due to the noticeable increase of heart diseases, studying this field is one of the important matters in medical community. Therefore, this study tries to benefit using information in data base of cardiac arrhythmia and employ arterial intelligent and neural network, in order to…

This paper extends the gamification interactive typing for Primary School Visually Impaired in Indonesia with some development according to previous user’s feedback. This study focuses in to renew the application and evaluate the updated application for visually impaired children developed by utility Unity software. Besides, standards of good gamification are worthy of study and can…

This investigation deals with the identification of the suitable empirical models for predicting radio wave propagation path losses in Erbil city of Kurdistan region in Iraq. For this purpose, two sites of Korek Telecom operating at 1800 MHz and 2100 MHz have been selected at urban and sub-urban environments in the city and seven different…

Objectives: Describe the clinical characteristics and home care of patients diagnosed with COVID-19 in a Primary Healthcare Facility of the “Mi Peru” district, in the Callao Region, Peru. Materials and methods: Observational and descriptive cross-sectional study. A total of 84 subjects with positive results for Rapid Test IgM / IgG or molecular test (RT-PCR) participated.…

Obstructive Sleep Apnea (OSA) is a potentially common sleep disorder manifested in upper airways’ collapse, either partially or completely. If diagnosed late and untreated, it may result in serious complications. The standard golden method, useful for treating OSA, remains the full night Continuous Positive Airway Pressure (CPAP). Yet, due to the ensuing discomfort it incurs…

Visualization plays an important role in teaching and learning. The ability of the learner to grasp the visual contents are better than that of textual contents. Traditional teaching methods often revolved around instructions and recitation techniques. However, most of these approaches were dormant and did not call for active learning. The proposed AGDO- Analyze, Group,…

Estimation of displacement is an information required for daily operation monitoring systems to monitor human health or to locate users in buildings, basements, tunnels and similar places which under the same conditions that the global positioning signal (GPS) level is from very weak to completely absent; and is the measurement technique by using multimetric data…

This paper presents a comparative study for using the classic networks in remote sensing images classification. There are four deep convolution models that used in this comparative study; the DenseNet 196, the NASNet Mobile, the VGG 16, and the ResNet 50 models. These learning convolution models are based on the use of the ImageNet pre-trained…

This paper is an extension of Novel Flexible Chip-less Bow-Tie RFID tag in which we presented the design, testing and fabrication of the tag and compared the results with Octagonal Chipless RFID tag. The chipless RFID tag was designed by using simulation software CST microwave studio and fabricated by using laser etching technique on a…

This paper has explored the technology beliefs of university students considering four parameters. We have proposed an automatic belief identification system for academic institutions. For this, we used two different clustering algorithms to segment the student group with different beliefs about the technology. In the Hierarchical Clustering (HC), the Agglomerative approach was followed. The beliefs…

The crisis linked to the COVID-19 and the uncertainty it generates in the unprecedented health, societal, economic and financial fields have had a strong impact on the stock markets. Indeed, in such a climate of very high uncertainty, it is to be expected that the excessive stock market price movements will continue, with both declines…

The functional priority of Health Information Exchanges (HIEs) is to ensure a timely transference of health data. Because of the frequency at which health records are transferred and the variety of health data HIEs receive, there are major challenges in efficiently accomplishing this. Cloud technology has become a generally accepted solution to remediate data transference…

Cloud computing is the development of information technology to provides resources that can be accessed through network. Security and privacy in cloud computing are major concern for companies. Therefore, cloud computing architecture strategy and design are needed to reduce costs and ensure the security of company assets in cloud computing. In this study, we are…

Feature extraction is an important process in image classification for achieving an efficient accuracy for the classification learning models. One of these methods is using the convolution neural networks. The use of the trained classic deep convolution neural networks as features extraction gives a considerable results in the remote sensing images classification models. So, this…

This paper proposes a closed association rule generation technique to investigate the association patterns of diseases that are frequent co-occurrence. Diseases records of 5,000 patients are studied to find the association patterns of disease co-occurrence. The CHARM algorithm is adapted to find frequent diseases that can cover all-important patterns with a small number. Then the…

This study primarily aims to identify the factors that helped emo kids in 2010 move through the emo-identity discrimination and be able to obtain a certain level of achievement. Facebook is the social network that allows users to track friends’ posts back over 10 years. Content analysis was conducted by using two coders to rate…

Modern digitalized cyber domains are extremely complex ensemble. Cyber attacks or incidents against system may affect capricious effects for another system or even for physical devices. For understanding and training to encounter those effects requires an effective and complex simulation capability. Cyber Security Exercises are an effective expedient for training and learning measures and operations…

Millimeter-wave (mmW) antenna is one of the most important parts of the fifth-generation (5G) systems because of its advanced characteristics, for example, wideband and high transmission rate. In this paper, an mmW 4×1 array antenna with high gain and wideband based on an aperture coupled feeding patch (ACFP) antenna is presented. The proposed array antenna…

In this industry 4.0 and digital era, we are more dependent on the use of communication and various transaction such as financial, exchange of information by various means. These transaction needs to be secure. Differentiation between the use of benign and malware is one way to make these transactions secure. We propose in this work…

This paper deals with a multi closed-loop adaptive neuro-fuzzy inference system (ANFIS) design for the under-actuated quadrotor systems. First, the training data set for the fuzzy inference system is obtained using a proportional integral derivative controller. Then, an initial ANFIS controller is designed, where the integral control action is preserved in the multi-closed-cloop ANFIS for…

There is some agricultural equipment for post harvesting of Orange fruit Juice, all the machine is geared towards extraction of the fruit juice. Fruit juice extraction is the act of wringing out the juice content of fruits by way of an effective processing and storage which enhance reduction in wastage. Fruit juices which literally have…

Contextual continuous word representation showed promising performances in different natural language processing tasks. It stems from the fact that these word representations consider the context in which a word appears. But until recently, very little attention was paid to the contextual representations in Arabic question classification task. In the present study, we employed a contextual…

Machine learning has been dramatically advanced over several decades, from theory context to a general business and technology implementation. Especially in healthcare research, it is obvious to perceive the scrutinizing implementation of machine learning to warranty the rewarded benefits in early disease detection and service recommendation. Many practitioners and researchers have eventually recognized no absolute…

Big data analysis has important applications in many areas such as sensor networks and connected healthcare. High volume and velocity of big data bring many challenges to data analysis. One possible solution is to summarize the data and provides a manageable data structure to hold a scalable summarization of data for efficient and effective analysis.…

The widespread presence of Coronavirus (COVID-19) is causing organizations and individuals major economics downsizing. The way this virus is transmitted from one individual to another is the real cause of the problem. For that, researchers in different fields started seriously looking for touch-less and contact-less exchange. Particularly in the finance world, cash transactions and keypad…