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Large fractures tend to dominate the hydraulic and mechanical properties of fracture networks and, consequently, of fractured rock masses. Hence, their characterization is of primary interest in a variety of applications...

Abstract The mammalian brain organises knowledge about entities in the world and relationships between them using cognitive maps. When forming a cognitive map, there is a necessary trade-off between extending the map to ...

Abstract Ensuring equitable park access amid rapid urbanization and population ageing is essential. We propose an integrated framework that couples street-network impedance modelling with streetscape visual perception to...

Introduction Bronchopulmonary Dysplasia (BPD) is a frequent chronic complication of preterm birth. While clinical outcomes have been widely studied, evidence on the long-term impact on parents and caregivers – particul...

This study aimed to assess the levels and key determinants of digital literacy skills among Eri silk farmers in Ri Bhoi District of Meghalaya. Purposive sampling was used to select three villages known for high concentra...

Introduction and aims: Oral lichen planus (OLP), a chronic inflammatory oral mucosal disorder with malignant potential, has been associated with oral microbial dysbiosis. While bacterial community alterations in OLP are ...

ABSTRACT Analysing learners' facial expressions during learning and exploring their learning processes and emotional changes are of great significance for assisting teachers' teaching and promoting smart education. In co...

Dear Readers,It gives me great pleasure to announce the fourth regular issue of 2026. In this issue, 6 papers by 25 authors from 6 countries - Colombia, Greece, Mexico, Republic of Serbia, South Africa, Türkiye ...

The article addresses the challenges of modelling the collective intelligence of innovation-integrated enterprises in the context of digital transformation. An overview of mathematical models used to describe collective ...

The Israel-Palestine conflict which has persisted for decades drives mounting global interest that consequently influences public opinion worldwide. This article examines the sentiment analysis of X (Twitter) data pertai...

Abstract Excessive and repetitive information is a common experience in online communities. While prior research has focused on general information overload, the effects of similarity overload, where content is redundant...

Modelling is one way of helping policymakers assess the impacts of different drivers on biodiversity and ecosystems, as well as the feedbacks on drivers generated by those impacts (from Chapter 3). Modelling provides too...

Abstract This book provides the first comprehensive treatment of feed-forward neural networks from the perspective of statistical pattern recognition. After introducing the basic concepts of pattern recognition, the book...

Convolutional neural networks are built upon the convolution operation, which extracts informative features by fusing spatial and channel-wise information together within local receptive fields. In order to boost the rep...

There are considerable number of approaches to policy specification both for security management and policy driven network management purposes as reported in [20]. This specification sort security policies into two basic...

It is observed that conventional techniques to analyse the steady state analysis of Self-Excited Induction Generator (SEIG) involve cumbersome mathematical procedures. In this paper an Artificial Intelligence (AI) techni...

Many classification systems rely on clustering techniques in which a collection of training examples is provided as an input, and a number of clusters c1,...cm modelling some concept C results as an output, such that ev...

From the Publisher: This is the first comprehensive treatment of feed-forward neural networks from the perspective of statistical pattern recognition. After introducing the basic concepts, the book examines techniques fo...

The central building block of convolutional neural networks (CNNs) is the convolution operator, which enables networks to construct informative features by fusing both spatial and channel-wise information within local re...

This paper presents a neuro-fuzzy network where all its parameters can be tuned simultaneously using Genetic Algorithms. The approach combines the merits of fuzzy logic theory, neural networks and genetic algorithms. The...

"Penetration Testing (short pentesting) is a methodology for assessing network security, by generating and executing possible attacks exploiting known vulnerabilities of operating systems and applications. Doing so autom...