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Presently, individuals generate tremendous volumes of information on the internet. As a result, sentiment analysis is a critical tool for automating a deep understanding of user-generated information. Of late, deep learning algorithms have shown endless promises for a variety of sentiment analysis. The purpose of sentiment analysis is to categorize different descriptions as good, bad,…

Serious games (SGs) are interactive and entertaining digital games with a special educational purpose. Studies have shown that SGs are effective in enhancing educational skills. Cognitive skills training through serious games have been used in improving students learning outcomes. In this article, we introduce the ‘plants kingdom’ serious game for improving adolescents’ cognitive skills, mainly…

General relativity and its modified theories are unable to account for quantum mechanics and cannot explain dark matter or the origin of the gravitation. This paper presents a theory that describes how Newtonian gravitation originates at the level of the particle, and how particles induce gravitation and respond to the source of gravitation. This paper…

A Decision-Making Centers (DMCs) Environment facilitates stakeholders’ decision-making processes using predictive models and diverse what-if scenarios. An essential element of this environment is the management of Decision Support Components (e.g., models or systems) that need to be created with mature methodologies and good delivery time. However, there has been a gap in the understanding of…

The Micro-facial expression is the most effective way to display human emotional state. But it needs an expert coder to be decoded. Recently, new computer vision technologies have emerged to automatically extract facial expressions from human faces. In this study, a video-based emotion analysis system is implemented to detect human faces and recognize their emotions…

Depth prediction plays a key role in understanding a 3D scene. Several techniques have been developed throughout the years, among which Convolutional Neural Network has recently achieved state-of-the-art performance on estimating depth from a single image. However, traditional CNNs suffer from the lower resolution and information loss caused by the pooling layers. And oversized parameters…

The ecosystems and landscape patterns in Lake Victoria basin are increasingly being modified by changes in land use/land cover. Understanding dynamics of these changes is essential for appropriate planning. This study evaluated changes in landscape environment, of the lakeside counties of the Kenyan Lake Victoria basin, which have occurred over a forty-year period (1978-2018) and…

On the 11th of March 2020, the World Health Organization (WHO) declared COVID-19 as a pandemic. Part of controlling measures of the pandemic is to understand the disease’s trajectories. There are several possible interventions that can prevent and control its spread. Determining an optimal strategy is critical for policymakers to understand the impact of different…

The main purpose of this paper is to present a reusability approach that helps the designer to assess the best practice to restore a heritage building. Based on the literature review, the reusability process and attributes was used as a method to restore the heritage building. Considering these approaches helps the designer to achieve useful…

It has been observed that the smartwatches have emerged quickly on the digital era with the ability to significantly influence daily life and improve users’ wellbeing, decisions, and behaviour. Nonetheless they are in their stages of adoption, smartwatches are marked the most widespread type of wearable technologies. Considering this, present work has been carried out…

Fiber-Wireless (FiWi) network is an integration of fiber optic and wireless connections in the same network. It is one of the best solutions to overcome rapid increment of Internet users and bandwidth-hungry services. To facilitate fundamental knowledge and further understanding on FiWi for students and researchers at the university level, this article proposes the development…

The research paper aims to focus on the issues and challenges in developing a sustainable model of an ideal heritage village project by using descriptive and empirical investigation methods. To capture the perception and understanding of the concept of sustainability of a Heritage Village, a mixed-methods approach was conducted by the researcher where document where…

Online fashion market is constantly growing, and an algorithm capable of identifying garments can help companies in the clothing sales sector to understand the profile of potential buyers and focus on sales targeting specific niches, as well as developing campaigns based on the taste of customers and improve user experience. Artificial Intelligence approaches able to…

Vehicle accidents, particularly in small and large urban areas, are rising tremendously day by day worldwide. As a recent research subject in automaton transportation, the subsequent collision has become a vital issue and emergency. Internet of things (IoT) and the Internet of Vehicles (IoV) have become very popular these days because of their versatility, and…

In this paper, one of the “problem zones” in mathematics concerned with the surface area of three-dimensional bodies is presented by computer and mathematical modeling with synergetic effects using intelligent system support. The problems of personal self-organization and technological stages of student’s research activity in the process of modern achievements in science adaptation in teaching…

The objective of this study is to examine the current views of academics on issues and technology development in forensic accounting education. By applying the explanatory sequential mixed method, this study tries to acquire a better understanding of current perception regarding forensic accounting education. This study indicates that demand for forensic accounting services is expected…

Phasor Measurement Unit (PMU) is an integral device for tracking, protection, and regulation of the power network. PMU gives synchronised calculations of actual-time data for voltage phasor, current phasor, and the frequency. Placing PMU in every node to observe the power network is not realistic from an economic standpoint and even for big data management.…

Interpreting data for solving information needs demands an understanding of the semantics of row data. In this paper, an ontology-driven management of data of the presence of radon gas in soil is presented. The main contribution of this research relies on the formal definition of the semantic of the presence of radon in the dimensions…

Mobile wallet is an application that allows users to make online payments using their mobile phones. In the context of an outbreak of COVID-19 epidemic in Vietnam and the world, mobile wallets are considered having many opportunities to change people’s cash spending habits. The current study assesses the factors impact on the intention to use…

This research sought to measure some socio-political indicators using millions of opinionated messages from social network sourced big data. Thus, and using an enhanced mixed method for sentiment analysis and a fusion model algorithm to infer topics from short text, this study attempted to demonstrate the value of computational approaches in measuring some phenomena in…

Logistics is a science and art that has been widely used by large commercial chains, whose main objectives focus on the distribution of products or services. This understanding has generated various logistics studies directed towards those businesses, without considering that science can also be applied to small or medium enterprises. The present study initially executes…

English remains the language of choice for database courses and widely used for instruc- tion in nearly all South African universities, and also in many other countries. Novice programmers of native origins are mostly taught Structured Query Language (SQL) through English as the medium of instruction. Consequently, this creates a myriad of problems in understanding…

The purpose of this research is to study the relevance of factors for the analysis of the effectiveness of suitable educational institutions that illustrate the significance of the characteristics and attributes of the student’s academic achievements and to identify the acceptance and tolerance of each attribute, which supports lifelong learning. The data used in this…

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…

To cultivate creative talent, ways to learn creative problem-solving skills is needed, and one of them is programming. Arduino is a well-known tool used for programming education and the usefulness has been demonstrated in various case studies. However, there are several problems in existing Arduino-compatible kits as education tools, including the need for understanding hardware…