This paper examines mainstream platform moderation as it encounters contemporary pagan religious practice in Europe and reads what it finds as a symptom of a wider condition: the algorithm functions less as a neutral tool than as a productive instrum...
We suggest a quantitative and objective notion of emergence. Our proposal uses algorithmic information theory as a basis for an objective framework in which a bit string encodes observational data. A plurality of drops in the Kolmogorov structure fun...
The mobility of nodes leads to dynamic changes in topology structure, which makes the traditional routing algorithms of a wireless network difficult to apply to the opportunistic network. In view of the problems existing in the process of information...
This article explores the philosophical and legal foundations of the Metaverse as an emerging socio-technological reality. It examines the co-evolution of technology, law, and society, emphasizing the need for new frameworks to address identity, subj...
Currently, there is an active development of the Uzbek sector of the Internet. In it, as in other national sectors, the most common form of presentation of textual information is semi-structured documents, work that presupposes the availability of re...
This study analyses algorithmic biases in AI-generated images, focusing on aesthetic violence, gender stereotypes, and weight discrimination. By examining images produced by the DALL-E Nature and Flux 1 systems, it becomes evident how these tools rep...
Foreign fiber (FF, plural: FFs) contamination has been demonstrated to have a substantial impact on the quality and profitability of cotton textiles. Machine vision technology, characterized by its non-contact approach and high efficiency, has emerge...
In 3D reconstruction applications, an important issue is the matching of point clouds corresponding to different perspectives of a particular object or scene, which is addressed by the use of variants of the Iterative Closest Point (ICP) algorithm. I...
This article explores Lebanese Christian digital presence within the framework of Sacred Algorithms: Religion in the Digital Age. In a society marked by economic collapse, migration, and religious plurality, digital platforms have become vital arenas...
Losses in energy storage systems (ESSs) are considered operational costs and it is critical to improve efficiency in order to expand their use. We proposed a method of improving efficiency through the operation algorithm of an ESS, consisting of mult...
This article examines how algorithmic classification systems participate in the production of meta-identities, understood as operational classificatory constructs that mediate the visibility, circulation, and interpretation of digital content and its...
The thermomechanical interaction of the tool with the chip in the most loaded secondary cutting zone depends on the contact length of the tool rake face with the chip. Experimental studies of the dependency of the contact length on the cutting speed,...
The gene expression profile has the characteristics of a high dimension, low sample, and continuous type, and it is a great challenge to use gene expression profile data for the classification of tumor samples. This paper proposes a cross-entropy bas...
Digitalization has transformed how young believers in East Asia encounter, interpret, and negotiate Christian teachings. Drawing on four years of ethnographic and digital fieldwork at a large Pentecostal megachurch in Singapore (2019–2022), thi...
The ideal of the open society, grounded in rational deliberation and pluralism, faces growing challenges in the digital age. This study examines how affective polarization—characterized by emotional hostility and antagonism across political ide...
Museums in Dispute: Artificial Intelligence, Digital Culture, and Critical Curation analyzes contemporary debates in the museum field through the lens of tensions between technology, digital culture, and political and epistemological disputes. Struct...
Generative artificial intelligence (AI) is reshaping higher education (HE) by reconfiguring how knowledge becomes visible, how judgment is exercised, and how recognition is distributed. These systems intervene in the pedagogical and democratic condit...
This article examines how artificial intelligence and algorithmic systems are reconfiguring truth regimes in digital societies, introducing the concept of “Artificial Truth” to describe an emerging form of epistemic governance where knowl...
The growing influence of artificial intelligence (AI) is reshaping religious communication, including Islamic preaching. However, little is known about how AI-mediated preaching transforms religious authority, particularly in post-Soviet Muslim conte...
According to Chomsky’s Labeling Algorithm the merger of two phrases, i.e., {XP, YP}, is labeled either via feature sharing between the two elements or by ignoring the lower copies of movement chains. It is not immediately clear, within this app...
This article argues that journalism plays a structurally significant role in accountability within contemporary democratic governance and therefore warrants constitutional protection beyond traditional press-freedom guarantees. It develops the concep...
Plant proteins with lectin domains play an essential role in plant immunity modulation, but among a plurality of lectins recruited by plants, only a few members have been functionally characterized. For the analysis of flax lectin gene expression, we...
Renewable energy communities have gained popularity as a means of reducing carbon emissions and enhancing energy independence. However, determining the optimal sizing for each production and storage unit within these communities poses challenges due...
The concept of navigation, introduced by Harun Farocki in his lecture Computer Animation Rules, explains the digital/algorithmic choreography of consumer behaviour through media platforms. This article contends navigational connectivity is a cybernet...
The present work describes the phenomenological approach to automatically determine the frequency range for positive and negative dielectrophoresis (DEP)—an electrokinetic force that can be used for massively parallel micro- and nano-assembly....
Due to the development of computer vision and natural language processing technologies in recent years, there has been a growing interest in multimodal intelligent tasks that require the ability to concurrently understand various forms of input data...
Sustainability education has produced four major traditions, Environmental Education, Climate Education, Education for Sustainable Development, and Climate Justice Education, that have developed largely in parallel. This fragmentation prevents cross-...
Linguistic features, particularly the use of first-person singular pronouns (FPSPs), have been identified as potential indicators of suicidal ideation. Machine learning (ML) and natural language processing (NLP) have shown potential in suicide detect...
This paper proposes a new technique for performing 3D static-point cloud registration after calibrating a multi-view RGB-D camera using a 3D (dimensional) joint set. Consistent feature points are required to calibrate a multi-view camera, and accurat...
Can Hans Jonas’s heuristics of fear still ground a philosophy of artificial intelligence (AI), or does the digital artefact require its reformulation? Building on the empirical turn in the philosophy of technology and on a postphenomenological...
Focusing on the portability revolution, this theoretical paper explores how smart devices and their associated visual and algorithm-driven social networks have become highly impactful socialisation agencies, especially for youth. Integrating secondar...
Growing demand for raw materials forces mining companies to reach deeper deposits. Difficult environmental conditions, especially high temperature and the presence of toxic/explosives gases, as well as high seismic activity in deeply located areas, p...
Aflaj (plural of falaj) are tunnels or trenches built to deliver groundwater from its source to the point of consumption. Support vector machine (SVM) and extreme gradient boosting (XGB) machine learning models were used to predict groundwater aflaj...
In this paper, we propose a semantic segmentation method based on superpixel region merging and convolutional neural network (CNN), referred to as regional merging neural network (RMNN). Image annotation has always been an important role in weakly-su...
In order to effectively solve the problems of the complex growth state of dragon fruit and how the picking process is mostly manual, this study designed a picking and selecting integrated remote-operation-type dragon-fruit-picking device. Based on SO...
This chapter offers a conceptual and philosophical analysis of the ontological, epistemological, and ethical issues associated with the design, development, and use of Agentic AI in moral and legal decision-making. Its aim is to map, classify, and br...
Medicinal properties of plants are usually identified based on knowledge of traditional medicine or using low-throughput screens for specific pharmacological activities. The former is very biased since it requires prior knowledge of plants’ pro...
Traffic inspection (TraffIns) work in this article is positioned as a specific module of road traffic with its primary function oriented towards monitoring and sustainably controlling safe traffic and the execution of significant events within a part...