With the development of Internet of Things technology and the widespread use of smart devices, artificial intelligence is now being applied as a decision-making tool in a variety of fields. To make machine learning models, including deep neural network models, more interpretable, various techniques have been proposed. In this paper, a method for explaining the…

This paper reports on the successful deposition of amorphous carbon nitride thin films (a-CNx). Samples were deposited using a DC-pulsed sputtering technique in CH3CH2OH-N2 atmosphere at constant pressure (1 Torr). Raman spectra were collected to investigate the bonding structure of the deposed thin films, while scanning electron microscopy (SEM) and atomic force microscopy (AFM) were…

Drought has become more common and severe in recent decades due to increased global changes in climatic conditions and anthropogenic activities thereby analyzing drought at both regional and local levels is crucial. And so, this study aims at assessing drought risk in Northern Nigeria using NDVI and SPI. Data used included satellite images (Landsat OLI-TIRS,…

Concomitant with the ubiquity of lightweight electronic terminals, such as smartphones and tablets, e-books have increased in popularity. However, studies have shown that their display method and information-presentation efficiency need improvement. We investigated visual information processing during reading to develop a more efficient display method that presents information in an easier to see fashion than…

The main objective and contribution of the paper is to describe the creation of a model to support recruitment using social media information and its deployment in practice. The model includes the design of an automated solution for downloading social media data and a proposal for the subsequent analysis and creation of a predictive model…

The aim of this research was to prove the effect of online learning on interest and motivation to learn and its effect on student achievement in the Educational Technology Study Program – Ibnu Khaldun University, Bogor. This research method uses descriptive analysis and verification with a quantitative approach. The source of this research uses primary…

The ageing of oil-immersed power transformers triggers several defects and damages in the insulating materials, particularly in the cellulose insulation. The decomposition of the cellulose paper produces dissolved gases into the insulating oil, in which the Dissolved Gas Analysis (DGA) of the oil samples can provide insights to incipient faults sustained by the transformer as…

In the last decade, South Africa has attracted and attained more investment by means of the Renewable Energy Independent Power Producer Procurement Programme (REI4P), which is, a structured invitation to Independent Power Producers (IPPs) to submit a bid to generate and supply power to the electrical grid. In spite of REI4P’s undeniable triumph, a much-discussed…

The persistent difficulties in reading and spelling acquisition are a risk factor for learning motivation. Play-like intervention tools have been developed to face these difficulties. “I read” is a software that seeks to develop and introduce systematic reading and spelling skills training in a playful and complementary way. This software is intended for children at…

The deep learning-based URL classification approach using massive observations has been verified especially in the field of phishing attack detection. Various improvements have been achieved through the modeling of character and word sequence of URL based on convolutional and recurrent neural networks, and it has been proven that an ensemble approach of each model has…

Energy Efficiency (EE) plays a key role in decreasing energy consumption at a European level, while it is considered as one of the most cost-efficient means to achieve carbon reduction and reinforce energy sufficiency and security. EE financing is imperative to implement measures that will lead to achieving the desired carbon neutrality and, thus, avert…

The Conv-TasNet and Demucs algorithms, can differentiate between two mixed signals, such as music and speech, the mixing operation proceed without any support information. The network of convolutional time-domain audio separations is used in Conv-TasNet algorithm, while there is a new waveform-to-waveform model in Demucs algorithm. The Demucs algorithm utilizes a procedure like the audio…

The study aims to assess the machine learning techniques in predicting students’ associated factors that affect their academic performance. The study sample consisted of 5084 middle and high school students between the ages of 10 and 17, attending public and UNRWA schools in the West Bank. The ‘Health Behaviors School Children’ questionnaire for the 2013-2014…

The development of Machine Learning methods and approaches offers enormous growth opportunities in the Healthcare field. One of the most exciting challenges in this field is the automation of clinical treatment selection for patient state optimization. Using necessary medical data and the application of Machine Learning methods (like the Genetic Algorithm and the Analytic Hierarchy…

Humans have experienced motion sickness and possessed the knowledge of stereopsis since classical antiquity. Knowledge of stereopsis dates back to approximately 300 B.C., when Euclid first recognized the concept of depth perception in human vision. Further, the motion sickness is including a sensation of wooziness and nausea that has been documented since approximately 400 B.C.,…

The Hamming neural network is an effective tool for solving problems of recognition and classification of objects, the components of which are encoded using a binary bipolar alphabet, and as a measure of the objects’ proximity the difference between the number of identical bipolar components which compared include objects and the Hamming distance between them…

This paper makes a statistical analysis of some indicators that characterize the environment of students admitted to public and private Institutions of Higher Education i.e. university level institutions, presenting an overview to the distribution of these students in the key areas of study that these institutions offer such as: Arts, Agriculture, Natural Sciences, Social Sciences,…

Microcontrollers have revolutionized the field of Engineering Education. Their popularity and cost-effectiveness have opened a large door of activity for innovative projects at both the undergraduate and graduate levels. The purpose of this article is to review this activity in terms of where two of these microcontrollers have been used in Engineering Education so as…

Virtual reality (VR) is finding applications in a wide range of industries; however, a significant number of users find VR experience considerably different from the real-world experience. To match the real-world experience, the VR experience should look real, should be immersive, and be in line with the users’ anticipation. Achieving realism in the virtual representation…

The effectiveness and suitability for the reliability and test of the embedded software of the automotive EHPS (Electrical Hydraulic Power Steering) pump are extensively explored in this paper. The Crow-AMSAA analysis has been applied to evaluate the embedded software reliability growth based on the failure data collected in the prototype phase and in the field.…

The article further extends the researched issue of the unmanned aircraft use in the pre-flight and post-flight visual check of aircraft. Procedures of pre-flight inspection are fulfilled by the aircraft maintenance certified staff or the crew member before flight. The process is similar for all categories of aircraft, but its implementation differs for individual specific…

Distributed Solar Photovoltaic (DSP) Plants are one of the fastest growing renewable energy systems in South Africa. The primary components forming an integral part of the point of common coupling (PCC) are, the inverter used to convert dc voltage to ac voltage and step-up transformers which step-up low voltage input to the desired output level.…

This paper is an extended version of the work presented at a conference held in Kyiv, Ukraine, in October 2020, which reported the result of the numeric simulation on the artificial antigravity. This paper further describes the derivation of the idea of the artificial antigravity, and adds the simulation of angular momentum that is needed…

To get hired, an aspiring candidate needs a good CV/r´esum´e. This is not an easy task as it must be readable, well structured, concise with no grammatical errors, and containing all relevant information needed by employers. In this paper, we present a newly designed context-free grammar for the dynamic synthesis of a CV. The grammar…

Artificial intelligence (AI) systems have been applied not only to numerical simulations of the economical sequences but also to the bio-signal, for instance, the statokinesigrams (SKGs). According to the nonlinear analysis of the bio-signal, we have considered that the motion process of the body sway is more random than that of the other bio-signal. In…