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Materias / palabras clave: Art, Classical; Architecture, Classical; Civilización antigua; Arte; Arquitectura; Greece; Civilization; Rome

Abstract Detecting epileptic seizures from electroencephalogram (EEG) signals presents a significant challenge due to the nonlinear and non-stationary nature of brain activity. In this study, we propose a hybrid classifi...

Abstract Quantum Machine Learning (QML) is emerging as a promising technology for tackling complex computational challenges, although its practical implementation faces significant obstacles owed to the inherent noise in...

The remarkable success of large language models (LLMs) in code generation has transformed software development, with systems like Codex, CodeGen, and StarCoder demonstrating strong capabilities in synthesizing functional...

Abstract Architecture today faces urgent demands for sustainable transformation in the context of climate change and ecological crisis. A central challenge lies not only in improving material performance or reducing emis...

Modern communication environments ranging from smart mobility infrastructures to digitally integrated health care systems demand adaptable and trustworthy network security. In this situation, software-defined networks (S...

Nonsyndromic orofacial clefts (NSOC) are common congenital craniofacial developmental defects. Current evidence suggests that genetic factors, environmental exposures, and their interactions jointly contribute to the dev...

Zgierz, a town located in the central part of the Łódź Province, has a unique urban complex in the form of a craftsmen’s town built from scratch in the first half of the 19th century. This was a result of a settleme...

Real-time routing on large-scale road networks remains a critical challenge for intelligent transportation systems, particularly under high query loads and increasing graph sizes. While classical shortest path algorithms...

Plant disease diagnosis in field settings is challenged by subtle symptomology, high inter-class visual similarity, and class imbalance, making automated detection particularly difficult. While deep learning models achie...

In this work, a structured hierarchy of hyperdatasets for Monkeypox image classification is presented, aiming to evaluate the robustness and generalization ability of deep classification models for Mpox detection. A syst...

Accurate estimation of signal-to-noise ratio (SNR) in Scanning Electron Microscopy (SEM) is crucial because it evaluates the image quality. SEM images faced a challenge whereby Gaussian noise commonly appears in the imag...

This paper addresses the growing need for implementing intelligent Natural Language Processing (NLP) systems on low-power, memory-limited devices such as Raspberry Pi, mobile phones, and IoT edge hardware. As edge comput...

Accurate identification of plant-parasitic nematodes is fundamental to effective crop protection and the maintenance of soil ecosystem integrity. This study integrates morphological characterization with deep learning-ba...

Anions are ionic species that play important roles in biology, medicine, catalysis, and environmental science. Identifying these species is crucial for industrial applications and clinical diagnostics. In recent years, e...

Gain-dissipative systems of various physical origin have recently shown the ability to act as analogue minimisers of hard combinatorial optimisation problems. Whether or not these proposals will lead to any advantage in ...

Coming from a patriarchal society, Calixthe Beyala belongs to that generation of writers who decided to break the silence imposed on them by men. Her battle is marked by a linguistic revolution, the use of a sexually mar...

Digital health increasingly relies on artificial intelligence for clinical decision-making, patient management, and distributed learning, yet two persistent challenges remain: the computational complexity of optimization...

In the contemporary landscape of global economic development, branding has evolved into one of the most critical strategic tools for ensuring long-term competitiveness. A brand no longer serves merely as a symbolic ident...

Stimulated Raman scattering (SRS) microscopy is a fast Raman imaging technique that combines the molecular specificity of vibrational spectroscopy with the high spatial resolution and speed of laser-scanning microscopy. ...

The article presents the results of an experimental and theoretical study of the prediction of deflections of timber beams made of three types of wood: massive, glued laminated, and cross-laminated timber. The aim of the...

This paper analyzes the dynamic and static balancing of non-homogenous cluster architectures, simultaneously analyzing the theoretical parallel Speedup as well as the Speedup experimentally obtained. Three interconnected...

"This thesis investigates the application of machine learning methods to the task of deforestation monitoring using time-series satellite data. The objective is to assess how different algorithmic approaches perform in d...

CHARMM (Chemistry at HARvard Molecular Mechanics) is a highly versatile and widely used molecular simulation program. It has been developed over the last three decades with a primary focus on molecules of biological inte...