36 articles in this issue
Sónia Rolland Sobral and Catarina Félix de Oliveira
Self-assessment is one of the strategies used in active teaching to engage students in the entire learning process, in the form of self-regulated academic learning. This study aims to assess the possibility of including self-evaluation in the student’s fi... see more
Sotiris Angelis, Konstantinos Kotis and Dimitris Spiliotopoulos
Semantic trajectory analytics and personalised recommender systems that enhance user experience are modern research topics that are increasingly getting attention. Semantic trajectories can efficiently model human movement for further analysis and pattern... see more
Radha Nila Meghanathan, Patrick Ruediger-Flore, Felix Hekele, Jan Spilski, Achim Ebert and Thomas Lachmann
Although the focus of Virtual Reality (VR) lies predominantly on the visual world, acoustic components enhance the functionality of a 3D environment. To study the interaction between visual and auditory modalities in a 3D environment, we investigated the ... see more
Anis Malekzadeh, Assef Zare, Mahdi Yaghoobi and Roohallah Alizadehsani
This paper proposes a new method for epileptic seizure detection in electroencephalography (EEG) signals using nonlinear features based on fractal dimension (FD) and a deep learning (DL) model. Firstly, Bonn and Freiburg datasets were used to perform expe... see more
Asra Fatima, Ying Li, Thomas Trenholm Hills and Massimo Stella
Most current affect scales and sentiment analysis on written text focus on quantifying valence/sentiment, the primary dimension of emotion. Distinguishing broader, more complex negative emotions of similar valence is key to evaluating mental health. We pr... see more
Satoshi Yazawa, Kikue Sakaguchi and Kazuo Hiraki
Advances in web technology and the widespread use of smartphones and PCs have proven that it is possible to optimize various services using personal data, such as location information and search history. While considerations of personal privacy and legal ... see more
Aulia Fadli, Wisnu Ananta Kusuma, Annisa, Irmanida Batubara and Rudi Heryanto
Coronavirus disease 2019 pandemic spreads rapidly and requires an acceleration in the process of drug discovery. Drug repurposing can help accelerate the drug discovery process by identifying new efficacy for approved drugs, and it is considered an effici... see more
Ervin Gubin Moung, Chong Joon Hou, Maisarah Mohd Sufian, Mohd Hanafi Ahmad Hijazi, Jamal Ahmad Dargham and Sigeru Omatu
The COVID-19 pandemic has resulted in a global health crisis. The rapid spread of the virus has led to the infection of a significant population and millions of deaths worldwide. Therefore, the world is in urgent need of a fast and accurate COVID-19 scree... see more
Mohamed Chetoui, Moulay A. Akhloufi, Bardia Yousefi and El Mostafa Bouattane
The coronavirus pandemic is spreading around the world. Medical imaging modalities such as radiography play an important role in the fight against COVID-19. Deep learning (DL) techniques have been able to improve medical imaging tools and help radiologist... see more
Maya Hilda Lestari Louk and Bayu Adhi Tama
Classifier ensembles have been utilized in the industrial cybersecurity sector for many years. However, their efficacy and reliability for intrusion detection systems remain questionable in current research, owing to the particularly imbalanced data issue... see more
Balqis Albreiki, Tetiana Habuza, Zaid Shuqfa, Mohamed Adel Serhani, Nazar Zaki and Saad Harous
Detecting at-risk students provides advanced benefits for improving student retention rates, effective enrollment management, alumni engagement, targeted marketing improvement, and institutional effectiveness advancement. One of the success factors of edu... see more
Oz Pirvandy, Moti Fridman and Gur Yaari
A sports multi-bet is a bet on the results of a set of N games. One type of multi-bet offered by the Israeli government is WINNER 16, where participants guess the results of a set of 16 soccer games. The prizes in WINNER 16 are determined by the accumulat... see more
Jordi Morales-i-Gras, Julen Orbegozo-Terradillos, Ainara Larrondo-Ureta and Simón Peña-Fernández
Internet social media is a key space in which the memorial resources of social movements, including the stories and knowledge of previous generations, are organised, disseminated, and reinterpreted. This is especially important for movements such as femin... see more
Mahdi Nasrollahi, Javaneh Ramezani and Mahmoud Sadraei
The notion of Industry 4.0 encompasses the adoption of new information technologies that enable an enormous amount of information to be digitally collected, analyzed, and exploited in organizations to make better decisions. Therefore, finding how organiza... see more
Shirin Dora and Nikola Kasabov
Deep neural networks with rate-based neurons have exhibited tremendous progress in the last decade. However, the same level of progress has not been observed in research on spiking neural networks (SNN), despite their capability to handle temporal data, e... see more
Khaled Al Rabaiei, Fady Alnajjar and Amir Ahmad
The Kano model is one of the models that help determine which features must be included in a product or service to improve customer satisfaction. The model is focused on highlighting the most relevant attributes of a product or service along with customer... see more
Nasim Ahmed, Andre L. C. Barczak, Mohammad A. Rashid and Teo Susnjak
Big data frameworks play a vital role in storing, processing, and analysing large datasets. Apache Spark has been established as one of the most popular big data engines for its efficiency and reliability. However, one of the significant problems of the S... see more
Catarina Félix de Oliveira, Sónia Rolland Sobral, Maria João Ferreira and Fernando Moreira
Retention and dropout of higher education students is a subject that must be analysed carefully. Learning analytics can be used to help prevent failure cases. The purpose of this paper is to analyse the scientific production in this area in higher educati... see more
Pilar Rosado, Rubén Fernández and Ferran Reverter
Generative adversarial networks (GANs) provide powerful architectures for deep generative learning. GANs have enabled us to achieve an unprecedented degree of realism in the creation of synthetic images of human faces, landscapes, and buildings, among oth... see more
Hanna Svennevik, Michael A. Riegler, Steven Hicks, Trude Storelvmo and Hugo L. Hammer
Climate change is stated as one of the largest issues of our time, resulting in many unwanted effects on life on earth. Cloud fractional cover (CFC), the portion of the sky covered by clouds, might affect global warming and different other aspects of huma... see more
Younis Al-Anqoudi, Abdullah Al-Hamdani, Mohamed Al-Badawi and Rachid Hedjam
A business process re-engineering value in improving the business process is undoubted. Nevertheless, it is incredibly complex, time-consuming and costly. This study aims to review available literature in the use of machine learning for business process r... see more
Jasmir Jasmir, Siti Nurmaini and Bambang Tutuko
Text classification is an important component in many applications. Text classification has attracted the attention of researchers to continue to develop innovations and build new classification models that are sourced from clinical trial texts. In buildi... see more
Ahmed Aliwy, Ayad Abbas and Ahmed Alkhayyat
An information retrieval (IR) system is the core of many applications, including digital library management systems (DLMS). The IR-based DLMS depends on either the title with keywords or content as symbolic strings. In contrast, it ignores the meaning of ... see more
Saman Fattahi, Takuya Okamoto and Sharifu Ura
In smart manufacturing, human-cyber-physical systems host digital twins and IoT-based networks. The networks weave manufacturing enablers such as CNC machine tools, robots, CAD/CAM systems, process planning systems, enterprise resource planning systems, a... see more
Yusuf Sermet and Ibrahim Demir
The COVID-19 pandemic elucidated that knowledge systems will be instrumental in cases where accurate information needs to be communicated to a substantial group of people with different backgrounds and technological resources. However, several challenges ... see more
Yixue Hao, Yiming Miao, Min Chen, Hamid Gharavi and Victor C. M. Leung
With the rapid development of 5G communications, enhanced mobile broadband, massive machine type communications and ultra-reliable low latency communications are widely supported. However, a 5G communication system is still based on Shannon’s information ... see more
Anastasiia Kolevatova, Michael A. Riegler, Francesco Cherubini, Xiangping Hu and Hugo L. Hammer
A general issue in climate science is the handling of big data and running complex and computationally heavy simulations. In this paper, we explore the potential of using machine learning (ML) to spare computational time and optimize data usage. The paper... see more
Usman Alhaji Abdurrahman, Shih-Ching Yeh, Yunying Wong and Liang Wei
Understanding the ways different people perceive and apply acquired knowledge, especially when driving, is an important area of study. This study introduced a novel virtual reality (VR)-based driving system to determine the effects of neuro-cognitive load... see more
Sonain Jamil, MuhibUr Rahman and Amir Haider
Coral reefs are the sub-aqueous calcium carbonate structures collected by the invertebrates known as corals. The charm and beauty of coral reefs attract tourists, and they play a vital role in preserving biodiversity, ceasing coastal erosion, and promotin... see more
Huseyn Huseynov, Tarek Saadawi and Kenichi Kourai
The extreme bandwidth and performance of 5G mobile networks changes the way we develop and utilize digital services. Within a few years, 5G will not only touch technology and applications, but dramatically change the economy, our society and individual li... see more
Easwaramoorthy Rangaswamy, Girija Periyasamy and Nishad Nawaz
Ageing has always directly impacted the healthcare systems and, more specifically, the eldercare costs, as initiatives related to eldercare need to be addressed beyond the regular healthcare costs. This study aims to examine the general issues of eldercar... see more
Rafik Gouiaa, Moulay A. Akhloufi and Mozhdeh Shahbazi
Automatically estimating the number of people in unconstrained scenes is a crucial yet challenging task in different real-world applications, including video surveillance, public safety, urban planning, and traffic monitoring. In addition, methods develop... see more
Aminollah Khormali and Jiann-Shiun Yuan
Recent advancements of Generative Adversarial Networks (GANs) pose emerging yet serious privacy risks threatening digital media’s integrity and trustworthiness, specifically digital video, through synthesizing hyper-realistic images and videos, i.e., Deep... see more
Damianos P. Sakas and Nikolaos Th. Giannakopoulos
Rising demand for optimized digital marketing strategies has led firms in a hunt to harvest every possible aspect indicating users’ experience and preference. People visit, regularly through the day, numerous websites using both desktop and mobile devices... see more
Michael S. Vitevitch, Leo Niehorster-Cook and Sasha Niehorster-Cook
In Linguistics and Psycholinguistics, phonotactics refers to the constraints on individual sounds in a given language that restrict how those sounds can be ordered to form words in that language. Previous empirical work in Psycholinguistics demonstrated t... see more
Veronica S. Moertini and Mariskha T. Adithia
Directed graphs can be prepared from big data containing peoples’ interaction information. In these graphs the vertices represent people, while the directed edges denote the interactions among them. The number of interactions at certain intervals can be i... see more