SN Computer Science

Keyword search systems provide users with a friendly alternative to access Resource Description Framework (RDF) datasets. Evaluating such systems requires adequate benchmarks, consisting of RDF datasets, keyword queries, and correct answers. ...

Air pollution due to the presence of small particles and gases in the atmosphere is a major cause of health problems. In urban areas, where most of the population is concentrated, traffic is a major source of air pollutants (such as nitrogen ...${}_{}$${}_{}$${}_{}$

Emotions are an essential part of a person’s mental state and influence her/his behavior accordingly. Consequently, emotion recognition and assessment can play an important role in supporting people with ambient assistance systems or clinical ...

The aim of this paper is to achieve the optimal hyperparameters setup of a convolutional neural network (CNN) to address the localization of a mobile robot. The localization problem is solved with a hierarchical approach by using omnidirectional ...

Contraction metrics are an important tool to show the existence of exponentially stable equilibria or periodic orbits, and to determine a subset of their basin of attraction. One of the main advantages is that contraction metrics are robust with ...

Personalized Recommender Systems help users to choose relevant resources and items from many choices, which is an important challenge that remains actuality today. In recent years, we have witnessed the success of deep learning in several research ...

This study aims to clarify the potentials of performance-centred instructional design in online and blended learning. It asserts its contribution in that no research so far available has explicitly investigated how students—‘evaluatees’—evaluate ...

Early and correct diagnosis of Tuberculosis (TB) is important for proper treatment. According to WHO 2020 report, about 10 million people fell ill with TB and 1.4 million died in 2019. There are a number of well-established diagnosing methods for ...

Beyond controversy, identifying and using the potential of digital media for teaching requires media-related skills of future teachers. The paper presents in a first step a framework for digital media-related competencies. Within this framework, ...

Collaborative learning (CL) processes are not always effective and inadequate design of CL scenarios is one of the main causes of its failure. Designing CL scenarios is a complex task, since it involves countless requirements and constraints that ...

Learning analytics (LA) systems are becoming a new source of advice for instructors. Using LA provides new insights into learning behaviours and occurring problems about learners. Educational platforms collect a wide range of data while learners ...

The right ventricular (RV) segmentation is essential for cardiac diagnosis. However, it is hindered by many anatomical and imaging issues. With the emergence of artificial intelligence, the RV segmentation approaches are moving towards learning-...

Selecting text and copying text to the clipboard are common operations of many web users. This study analyzes real usage data from a commercial website to understand what types of textual content users select and copy, for what purposes, and what ...

Decision trees are a widely used method for classification, both alone and as the building blocks of multiple different ensemble learning methods. The Max Cut decision tree introduced here involves novel modifications to a standard, baseline ...$\mathrm{}$

Ensuring high quality and safety of food products has become a key factor on one hand to protect and improve consumers health and, on the other one, to gain market share. For this reason, much effort in the last year has been devoted to the ...

The coronavirus (COVID-19) pandemic has caused disastrous results in most countries of the world. It has rapidly spread across the globe with over 156 million cumulative confirmed cases and 3.264 million deaths to date, according to World Health ...

The brain image segmentation in magnetic resonance imaging (MRI) is essential to smooth the pathway to the data of outcome measures clinically. This paper proposes a new framework built on graph structure modeling using Brain-delineation ...

Fruit freshness grading is an innate ability of humans. However, there was not much work focusing on creating a fruit grading system based on digital images in deep learning. The algorithm proposed in this article has the potentiality to be ...

This study is part of a research conducted under the CeNTER Program, an interdisciplinary project that aimed to promote the development of the Centro Region of Portugal. The general contribution of this paper is the evaluation of a mobile ...

Quality sleep is one of the integral parts of the human body, which gives proper rest to the body. It directly promotes and supports maintaining good health, both physically and mentally. With the changes of social rhythm and increased pressure in ...

In this paper, we have proposed a two-stage deep feature selection (FS) approach for the recognition of online handwritten Bangla and Devanagari basic characters. At the beginning of the approach, we have checked the performance of nine pre-...

Oxygen-deficiency is a cause of fatalities in confined-space workplaces. Most research and projects have been conducted to reduce work-related accidents by external measurements, while works addressing the early warning of workers’ hypoxia state ...

Academic journal publishing is beset by a variety of challenges, including an ineffective peer review process and the growth of cloned and hijacked publications. All of these difficulties add to a lack of trust and degrade academics' reputations. ...

Gamified software applications are omnipresent in everyday life. The idea of using game design elements in non-game contexts to engage and motivate tasks has rapidly gained traction in the human–computer interaction and the psychology fields, but ...

The emerging IoT edge applications demand fast and energy-efficient hardware requirements for data processing. Conventional computing architectures are quite inefficient for meeting these stringent requirements as they incur high performance and ...${}^{\mathrm{}}$$\mathrm{}$

Medical image interpretation is an essential task for the correct diagnosis of many diseases. Pathologists, radiologists, physicians, and researchers rely heavily on medical images to perform diagnoses and develop new treatments. However, manual ...

Lung cancers are not only affecting the lung but also impair the respiratory mechanism. Worldwide, it becomes one of the high causes of mortality in humans. Several computer aided diagnosis (CAD) systems have been designed in recent years for ...

The human brain responds better to visual information when compared to plain text. In other words, our brain consumes visual information more easily than text-only content, which helps improve communication, sharing and retaining information, ...$$

The use of deep learning on edge AI to detect failures in conveyor belts solves a complex problem of iron ore beneficiation plants. Losses in the order of thousands of dollars are caused by failures in these assets. The existing fault detection ...

Service-oriented architectures (SOA) are becoming more widespread in the context of Industry 4.0, and their interface descriptions enable modular and scalable communication systems. Since syntactic checks such as data types are solved nowadays, ...