Abstract The reliable and rapid identification of the COVID-19 has become crucial to prevent spread disease, ease lockdown restrictions reduce pressure on public health infrastructures. Recently, several methods techniques have been proposed detect SARS-CoV-2 virus using different images data. However, this is first study that will explore possibility deep convolutional neural network (CNN) models from electrocardiogram (ECG) trace images. In work, other cardiovascular diseases (CVDs) were...

The recognition of various lung sounds recorded using electronic stethoscopes plays a significant role in the early diagnoses respiratory diseases. To increase accuracy specialist evaluations, machine learning techniques have been intensely employed during past 30 years. In current study, new pretrained Convolutional Neural Network (CNN) model is proposed for extraction deep features. CNN architecture, an average-pooling layer and max-pooling are connected parallel order to boost...

Purpose The role of social media in the tourism industry growth cannot be ignored, because today internet and platforms are one most popular information channels used by potential tourists have become main sources online travel information. This study investigates content cues quality provided Elie Gasht firm's Instagram page on enhancing awareness destination brand forming users' image. Design/methodology/approach A quantitative research design was to validate hypotheses proposed this...

COVID-19 is a novel virus, which has fast spreading rate, and now it seen all around the world. The case death numbers are increasing day by day. Some tests have been used to determine COVID-19. Chest X-ray chest computerized tomography (CT) two important imaging tools for determination monitoring of And new methods searching In this paper, investigation various multiresolution approaches in detection carried out. images as input proposed approach. As recent trend machine learning shifts...

Digital forensic examiners and stakeholders face increasing challenges during the investigation of Internet Things (IoT) environments due to heterogeneous nature IoT infrastructure. These include guaranteeing integrity evidence collected stored process. Similarly, they also encounter in ensuring transparency process which includes chain-of-custody chain. In recent years, some blockchain-based secure models have been proposed especially for investigations. proof-of-concept apply inherent...

In late 2019, the SARS-CoV-2 virus spread worldwide. The has high rates of proliferation and causes severe respiratory symptoms, such as pneumonia. standard diagnostic method for pneumonia is chest X-ray image. There are many advantages to using COVID-19 X-rays: low cost, fast, widely available. We propose an intelligent system support diagnosis by images. tested Haralick Zernike moments feature extraction. Experiments with classic classifiers were done. Support vector machines stood out,...

Abstract In late 2019, the SARS-Cov-2 spread worldwide. The virus has high rates of proliferation and causes severe respiratory symptoms, such as pneumonia. There is still no specific treatment diagnosis for disease. standard diagnostic method pneumonia chest X-ray image. are many advantages to using Covid-19 X-rays: low cost, fast widely available. We propose an intelligent system support by images.We tested Haralick Zernike moments feature extraction. Experiments with classic classifiers...

Abstract In late 2019, the SARS-Cov-2 spread worldwide. The virus has high rates of proliferation and causes severe respiratory symptoms, such as pneumonia. There is still no specific treatment diagnosis for disease. standard diagnostic method pneumonia chest X-ray image. are many advantages to using Covid-19 X-rays: low cost, fast widely available. We propose an intelligent system support by images. tested Haralick Zernike moments feature extraction. Experiments with classic classifiers...

Abstract In this paper, a novel approach that is based on two-stepped majority voting proposed for efficient EEG-based emotion classification. Emotion recognition important human–machine interactions. Facial features- and body gestures-based approaches have been generally recognition. Recently, become more popular in the approach, raw EEG signals are initially low-pass filtered noise removal band-pass filters used rhythms extraction. For each rhythm, best performed channels determined...

The hybrid energy storage systems are a practical tool to solve the issues in single terms of specific power supply and high energy. These especially applicable electric vehicles. Applying dynamic coherent strategy plays key role managing system. data obtained while driving information collected from can be used analyze performance provided management method. Most existing models follow predetermined rules that unsuitable for vehicles moving different modes conditions. Therefore, it is so...

The sheer complexity of the factors influencing decision-making has required organizations to use a tool understand relationships between data and make various appropriate decisions based on information obtained. On other hand, agricultural products need proper planning decision-making, like any country’s economic pillars. This is while segmentation customers analysis their behavior in manufacturing distribution industries are particular importance due targeted marketing activities effective...

The COVID-19 pandemic forced many organizations to move telework and smart work (SW), this practice is expected continue even later in the postpandemic period. Hence, it very important for managers identify motivating deterrent factors adopting plan manage them. Therefore, present study using an innovative methodology tried prioritize influencing employee SW adoption. In first stage, conceptual model of research was designed, inspired by literature. next step, structural equation modeling...

Thermal conductivity (TC) of a phase change material (PCM) may be enhanced by distributing nanostructured materials (NSMs) termed nano-PCM. It is critical to accurately estimate the TC nano-PCM assess heat transfer during transition processes, namely, solidification and melting. Here, we propose Gaussian process regression (GPR) strategies involving four various kernel functions (KFs) (including exponential (E), squared (SE), rational quadratic (RQ), matern (M)) predict n-octadecane as PCM....

An acoustic keylogger is a form of side-channel attack where an attacker can extract and log what victim typed on keyboard by capturing the keystroke emanations audio signals. Using compromised smartphone microphone to capture recordings, this be used recognise confidential information such as passwords victim. In paper, we demonstrate training machine-learning model develop proof-of-concept password-sniffing keylogger. To end, input signals are initially converted images using spectrogram...

Abstract In this paper, a novel approach that is based on two-stepped majority voting proposed for efficient EEG emotion classification. Emotion recognition important human-machine interactions. Facial-features and body-gestures approaches have been generally recognition. Recently, become more popular in the approach, raw signals are initially low-pass filtered noise removal band-pass filters used rhythms extraction. For each rhythm, best performed channels determined wavelet-based entropy...

As vital medical fields, medicine and nursing play key roles in the healthcare industry, particularly during coronavirus disease (COVID-19) pandemic. In this way, it is of utmost importance to lay much focus on factors that help improve care quality provided by workers. Against background, present study aims evaluate effect spiritual intelligence (SI) organisational happiness (OH) (NCQ) hospitals Moscow, Russia, 2021. applied research, a descriptive-correlational design utilised for data...

Abstract In this paper, a novel approach that is based on two-stepped majority voting proposed for efficient EEG emotion classification. Emotion recognition important human-machine interactions. Facial-features and body-gestures approaches have been generally recognition. Recently, become more popular in the approach, raw signals are initially low-pass filtered noise removal band-pass filters used rhythms extraction. For each rhythm, best performed channels determined wavelet-based entropy...