The thesis of this paper is that in the digital age we are moving away from words and concepts characteristic of the print age, towards the use of images and symbols. I distinguish between objective symbols as in mathematics, and cultural symbols as...
This paper introduces Contextual Object Grouping (COG), a specific computer vision framework that enables automatic interpretation of technical security diagrams through dynamic legend learning for intelligent sensing applications. Unlike traditional...
The rapid expansion of AI applications in various domains demands models that balance predictive power with human interpretability, a requirement that has catalyzed the development of hybrid algorithms combining high accuracy with human-readable outp...
This article proposes a comparative framework for interpreting architectural and armorial artefacts through morphological and symbolic analysis. Focusing on the Romanesque, Gothic, and Renaissance periods, the study explores how buildings and body ar...
Kolmogorov–Arnold Networks (KANs) have recently emerged as a powerful alternative to traditional Artificial Neural Networks (ANNs), offering superior accuracy and interpretability, which are two critical requirements in healthcare applications....
The lack of transparency in many AI systems continues to hinder their adoption in critical domains such as healthcare, finance, and autonomous systems. While recent explainable AI (XAI) methods—particularly those leveraging large language model...
Understanding the function learned by a neural network is crucial in many domains, e.g., to detect a model’s adaption to concept drift in online learning. Existing global surrogate model approaches generate explanations by maximizing the fideli...
In this article researchers examined the differences that may characterise selected groups of gamers with regard to age and time spent on playing a survival game, Valheim, confronted with their interpretation of map symbols used in the game. The Valh...
Background: Chest X-ray (CXR) is widely used for the assessment of thoracic diseases, yet automated multi-label interpretation remains challenging due to subtle visual patterns, overlapping anatomical structures, and frequent co-occurrence of abnorma...
Single-cell RNA sequencing (scRNA-seq) technology has significantly advanced our understanding of the diversity of cells and how this diversity is implicated in diseases. Yet, translating these findings across various scRNA-seq datasets poses challen...
In the context of autonomous driving, predicting pedestrian behavior is a critical component for enhancing road safety. Currently, the focus of such predictions extends beyond accuracy and reliability, placing increasing emphasis on the explainabilit...
Most failures in steel materials are due to fatigue damage, so it is of great significance to analyze the key features of fatigue strength (FS) in order to improve fatigue performance. This study collected data on the fatigue strength of steel materi...
Calibrating cameras accurately requires the identification of projection and distortion models that effectively account for lens-specific deviations. Conventional formulations, like the pinhole model or radial–tangential corrections, often stru...
Artificial neural networks (ANNs) have proven to be among the most important artificial intelligence (AI) techniques in educational applications, providing adaptive educational services. However, their educational potential is limited in practice due...
Air quality modelling that relates meteorological, car traffic, and pollution data is a fundamental problem, approached in several different ways in the recent literature. In particular, a set of such data sampled at a specific location and during a...
Tool wear modeling in CNC turning processes is critical for proactive maintenance and process optimization in intelligent manufacturing. However, traditional physics-based models lack adaptability, while machine learning approaches are often limited...
Electroencephalogram (EEG) signals contain information about the brain’s state as they reflect the brain’s functioning. However, the manual interpretation of EEG signals is tedious and time-consuming. Therefore, automatic EEG translation...
Background/Objectives: Acute Lymphoblastic Leukemia (ALL) poses significant diagnostic challenges due to its ambiguous symptoms and the limitations of conventional methods like bone marrow biopsies and flow cytometry, which are invasive, costly, and...
The following essay is presented as part of a long-term project concerned with the theory and practice of modern Jewish thinkers as interpreters of the Bible. The recent Bible commentaries of Eliezer Schweid, who is one of the foremost Jewish scholar...
Iconography is one of the most powerful ways to express the cultural identity of a community through the creation of symbols that promote its re-evaluation, although it is not always used as a way to promote this cultural development. The aim of this...
The primary challenge in collecting biodiversity information using citizen science is to encourage a diverse range of people to participate. This is crucial in fostering a Nature Positive society. Social media approaches have the potential to engage...
The Oedipus complex is a child development construct developed by Sigmond Freud that asserts that all children experience sexual desire towards their opposite sex parent, and failure to accept this “truth” can lead to mental health issues...
Service robots need to reason to support people in daily life situations. Reasoning is an expensive resource that should be used on demand whenever the expectations of the robot do not match the situation of the world and the execution of the task is...
A significant challenge encountered in mmWave and sub-terahertz systems used in 5G and the upcoming 6G networks is the rapid fluctuation in signal quality across various beam directions. Extremely high-frequency waves are highly vulnerable to obstruc...
In De interpretation, Aristotle writes that those of the voice are symbols of the motions of the soul while the written signs are symbols of those of the voice (16 a, 3-4). [...]
Summary indicator front-of-package nutrition labelling schemes are gaining momentum. In Europe, an example of such a scheme is Nutri-Score, which was first introduced in France. Supported by additional research, the scheme has the potential to expand...
We can tentatively extend the idea of semiotics and linguistics to consider that matter itself is its own symbol, which is also its own language. Matter itself has a symbol and a meaning. Matter is a noun and a verb at once. The entire world is a lan...
In the Yi ethnic group in southwest China, the gourd is a prominent symbol, collectively imbued with imaginative and spiritual significance. It maintains a profound connection to the Yi people’s way of life, manifested in both ancient mythologi...
In this article, our focus is on sustainable development in mathematics education from the point of view of teacher training. The aim was to develop prospective teachers’ content knowledge and pedagogical content knowledge of school mathematics. As a...
The relationship between meanings of words and their sound shapes is to a large extent arbitrary, but it is well known that languages exhibit sound symbolism effects violating arbitrariness. Evidence for sound symbolism is typically anecdotal, howeve...
When considering perceptions, the observation scale and resolution are closely related properties. There is consensus on considering resolution as the density of the elementary pieces of information in a specified information space. On the other hand...
In my paper, I will outline how Ricoeur’s early phenomenological interpretation of the symbol provides the starting point for the later phenomenological hermeneutics of freedom, and how the transition can be defined, which led him from the earl...
The Middle Ages and Early Modern periods saw the interpretation of reality through symbols, connecting the natural world to the divine using symbolic thinking and images. The idea of a correspondence between the human and universal macrocosm was prom...
Accurate fatigue life prediction of aircraft landing gear is crucial for ensuring flight safety and preventing catastrophic structural failures. However, traditional empirical methods face significant limitations in capturing complex multiaxial loadi...
Symbolic regression is commonly used in domains where both high accuracy and interpretability of models is required. While symbolic regression is capable to produce highly accurate models, small changes in the training data might cause highly dissimi...
Religious symbols and figures are gaining new life in popular culture. Reinterpretations of symbols rooted in the visual arts tradition are appearing in film, TV series and short audiovisual forms presented on the Internet, especially on social media...
Architectural heritage, as a highly symbolized medium of cultural expression, plays a vital role in transmitting collective memory and shaping intercultural tourism experiences. Yet, how visitors from diverse cultural backgrounds perceive and emotion...
This paper studies the design of point symbols on widely used online maps and apps that portray tourist points of interest (POIs). Tourist maps are among the most commonly used types of maps nowadays. The ease of travel leads to an ever-increasing de...
In the era of Big Data and IoT, successful systems have to be designed to discover, store, process, learn, analyse, and predict from a massive amount of data—in short, they have to behave intelligently. Despite the success of non-symbolic techn...
The integration of Deep Learning and Symbolic Artificial Intelligence (AI) offers a promising hybrid framework for enhancing diagnostic accuracy and explainability in critical applications such as COVID-19 detection using computerized tomography (CT)...
This multidisciplinary study investigates the enduring vitality of Guan Di worship on Peninsular Malaysia’s West Coast by proposing and systematically testing ‘Interpretive Malleability’ as a core explanatory mechanism. This is achi...
The article addresses the issue of the unification of cartographic symbols in terms of graphics (visual) and interpretation in an international context. The motivation is the ongoing digitization of processes in the conditions of Industry 4.0, especi...
The disappearance of intangible cultural heritages (ICHs) together with associated symbols and meanings in sub-Saharan Africa (SSA) undermines 2003 UN Convention for Safeguarding of the Intangible Cultural Heritage. To contribute to reversing this tr...
This article offers a new perspective on Miriam’s red jewel in Nathaniel Hawthorne’s The Marble Faun (1860), interpreting it as a symbol of Jewish femininity, diasporic memory, and aesthetic resistance. Although the jewel has received lit...
Eyetrackers which allow for free head movements are in many cases imprecise to the extent that reading patterns become heavily distorted. The poor usability and interpretability of these gaze patterns is corroborated by a “naïve” fixation-to-symbol m...
The review “Symbolic Approaches for Explainable Artificial Intelligence” discusses the potential of symbolic AI to improve transparency, contrasting it with opaque deep learning systems. Though connectionist models perform well, their poo...
This paper presents an approach for the recognition of multi-domain hand-drawn diagrams, which exploits Sketch Grammars (SkGs) to model the symbols’ shape and the abstract syntax of diagrammatic notations. The recognition systems automatically...
Channel modeling is crucial for inter-satellite terahertz communication system design. The conventional method involves manually constructing a mathematical channel model, which is labor-intensive, and using a neural network directly as a channel mod...
In this paper, we propose an alternative road to calculate the transport coefficients of fluids and the slip length inside nano-conduits in a Poiseuille-like geometry. These are all computationally demanding properties that depend on dynamic, thermal...
Capturing the interactions between moving objects is vital in traffic analysis, sports, and animal behavior, but remains challenging because of subtle spatiotemporal dynamics. This paper introduces HAIMO (Hybrid Analysis of the Interaction of Moving...
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